Permanent Contract Interim Senior Process Engineer - Cement Very Competitive + Bonus + Excellent Benefits Location: Buxton, Derbyshire (commutable from Sheffield, Macclesfield, Matlock, Chesterfield, Rotherham, Huddersfield, Oldham, Stockport, Warrington) Are you a cement process optimisation expert ready to lead innovation, boost efficiency, and support decarbonisation at one of the UK's most technically advanced cement plants? We're hiring a Senior Process Engineer for a nationally significant cement facility located near Buxton, Derbyshire. The site features a state-of-the-art pre-calciner kiln, automated sampling, and advanced digital control system. This is a strategic role with strong progression potential and a chance to drive performance and sustainability at scale. The Role: You'll collaborate with cross-functional engineering, production, and quality teams to: Optimise kiln and clinker performance, reduce heat and power consumption Lead initiatives to boost alternative fuel substitution (e.g. SRF, MBM) Support decarbonisation and emissions targets in line with net-zero goals Contribute to a multi-year CAPEX and plant debottlenecking programme Use real-time data from DCS, PI systems, and PXP (FLS expert systems) to analyse plant performance Prepare for the integration of AI-driven predictive control technologies Engage in technical audits and cross-site knowledge sharing Play a key role in future projects like carbon capture, calcined clays, and low-clinker cement innovation Requirements: Degree-qualified in chemical engineering, materials science, or a related field Minimum 5 years of cement process experience in a continuous, high-output environment Skilled in kiln operations, clinker quality management, and process data analytics Familiar with emissions targets, sustainability metrics, and energy efficiency initiatives Hands-on experience with DCS/PI/PXP platforms; SCADA or model predictive control is a plus Strong ownership mindset and commitment to continuous improvement Collaborative approach with leadership potential Salary & Benefits: £Very Competitive salary depending on experience Annual bonus and private healthcare Relocation support and visa sponsorship may be considered Full support for IChemE chartership This is a career-defining opportunity to shape the technical performance of a key UK cement plant and contribute to the industry's net-zero journey. Apply now quoting to learn more about how your cement process expertise could drive innovation and operational excellence. Ref: 35
May 13, 2025
Full time
Permanent Contract Interim Senior Process Engineer - Cement Very Competitive + Bonus + Excellent Benefits Location: Buxton, Derbyshire (commutable from Sheffield, Macclesfield, Matlock, Chesterfield, Rotherham, Huddersfield, Oldham, Stockport, Warrington) Are you a cement process optimisation expert ready to lead innovation, boost efficiency, and support decarbonisation at one of the UK's most technically advanced cement plants? We're hiring a Senior Process Engineer for a nationally significant cement facility located near Buxton, Derbyshire. The site features a state-of-the-art pre-calciner kiln, automated sampling, and advanced digital control system. This is a strategic role with strong progression potential and a chance to drive performance and sustainability at scale. The Role: You'll collaborate with cross-functional engineering, production, and quality teams to: Optimise kiln and clinker performance, reduce heat and power consumption Lead initiatives to boost alternative fuel substitution (e.g. SRF, MBM) Support decarbonisation and emissions targets in line with net-zero goals Contribute to a multi-year CAPEX and plant debottlenecking programme Use real-time data from DCS, PI systems, and PXP (FLS expert systems) to analyse plant performance Prepare for the integration of AI-driven predictive control technologies Engage in technical audits and cross-site knowledge sharing Play a key role in future projects like carbon capture, calcined clays, and low-clinker cement innovation Requirements: Degree-qualified in chemical engineering, materials science, or a related field Minimum 5 years of cement process experience in a continuous, high-output environment Skilled in kiln operations, clinker quality management, and process data analytics Familiar with emissions targets, sustainability metrics, and energy efficiency initiatives Hands-on experience with DCS/PI/PXP platforms; SCADA or model predictive control is a plus Strong ownership mindset and commitment to continuous improvement Collaborative approach with leadership potential Salary & Benefits: £Very Competitive salary depending on experience Annual bonus and private healthcare Relocation support and visa sponsorship may be considered Full support for IChemE chartership This is a career-defining opportunity to shape the technical performance of a key UK cement plant and contribute to the industry's net-zero journey. Apply now quoting to learn more about how your cement process expertise could drive innovation and operational excellence. Ref: 35
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 13, 2025
Full time
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
At Amazon, our vision is to be earth's most customer-centric company. In 2006, we launched Amazon Web Services, giving customers access to the same cloud technology we built to serve millions of shoppers on Amazon Web Services (AWS) is a secure cloud services platform, offering computing power, database storage, content delivery, and other functionality to help businesses scale and grow. Millions of businesses are using AWS cloud solutions to build sophisticated applications with increased flexibility, scalability and reliability. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. The Role An AWS Technical Account Manager is a trusted advisor and cloud operations architect for our Enterprise Support customers. As a trusted advisor you'll have a direct impact in helping our customers gain the most value from cloud technology. You'll craft and execute strategies to drive our customers' adoption and use of AWS services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more. Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. You'll provide advice on architecture, support strategy, project and launch planning as well as ongoing operational issues. Key job responsibilities You'll advise on solutions, provide technical guidance and advocate for the customer Ensure AWS environments remain operationally healthy whilst reducing cost and complexity Develop trusting relationships with customers, understanding their business needs and technical challenges Using your technical acumen and customer obsession, you'll drive technical discussions regarding incidents, trade-offs, and risk management Consult with a range of partners from developers through to C-suite executives Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers With a bias for action, you'll proactively find opportunities for customers to gain additional value from AWS Provide detailed reviews of service events, monthly & quarterly metrics, detailed pre-launch planning Solve a variety of problems across different customers as they migrate their workloads to the cloud Uplift customer capabilities by running workshops, brown bag sessions, etc. BASIC QUALIFICATIONS - Experience in a similar role as a Technical Account Manager, Consultant, Solutions Architect, Platform Engineer, Systems Engineer, Cloud Architect etc. - Understand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development - Internal enterprise or external customer-facing experience with the ability to clearly articulate to small and large audiences - Ability to juggle tasks and projects in a fast-paced environment - Customer obsessed PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a requirement - Previous experience as a Software Engineer, Developer, DevOps Engineer etc. - Understanding of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef is a plus Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 13, 2025
Full time
At Amazon, our vision is to be earth's most customer-centric company. In 2006, we launched Amazon Web Services, giving customers access to the same cloud technology we built to serve millions of shoppers on Amazon Web Services (AWS) is a secure cloud services platform, offering computing power, database storage, content delivery, and other functionality to help businesses scale and grow. Millions of businesses are using AWS cloud solutions to build sophisticated applications with increased flexibility, scalability and reliability. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. The Role An AWS Technical Account Manager is a trusted advisor and cloud operations architect for our Enterprise Support customers. As a trusted advisor you'll have a direct impact in helping our customers gain the most value from cloud technology. You'll craft and execute strategies to drive our customers' adoption and use of AWS services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more. Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. You'll provide advice on architecture, support strategy, project and launch planning as well as ongoing operational issues. Key job responsibilities You'll advise on solutions, provide technical guidance and advocate for the customer Ensure AWS environments remain operationally healthy whilst reducing cost and complexity Develop trusting relationships with customers, understanding their business needs and technical challenges Using your technical acumen and customer obsession, you'll drive technical discussions regarding incidents, trade-offs, and risk management Consult with a range of partners from developers through to C-suite executives Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers With a bias for action, you'll proactively find opportunities for customers to gain additional value from AWS Provide detailed reviews of service events, monthly & quarterly metrics, detailed pre-launch planning Solve a variety of problems across different customers as they migrate their workloads to the cloud Uplift customer capabilities by running workshops, brown bag sessions, etc. BASIC QUALIFICATIONS - Experience in a similar role as a Technical Account Manager, Consultant, Solutions Architect, Platform Engineer, Systems Engineer, Cloud Architect etc. - Understand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development - Internal enterprise or external customer-facing experience with the ability to clearly articulate to small and large audiences - Ability to juggle tasks and projects in a fast-paced environment - Customer obsessed PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a requirement - Previous experience as a Software Engineer, Developer, DevOps Engineer etc. - Understanding of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef is a plus Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Mars Wrigley Confectionery UK (SLO, WAL, ISB &PAD)
Windsor, Berkshire
JobDescription: Weare seeking a highly skilled and visionary Director ofData Platforms and Architecture to lead the design,development, and governance of our enterprise-wide Snacking dataplatform ecosystem. This individual will be responsible for drivingplatform strategy, fostering innovation, and ensuring robust dataarchitecture that empower multiple products and capabilities topower business decisions, scalability, and operationalexcellence. As a strategic leader, the Directorof Data Platforms and Architecture will oversee the implementationand optimization of cutting-edge data technologies & solutions,establish best practices in data platforms and governance, andprovide technical leadership to multidisciplinary teams. You willwork closely with stakeholders across business, IT, and analyticsteams to align data architecture with organizational goals,enabling seamless data acquisition and advanced analyticscapabilities. Whatwill be your keyresponsibilities? StrategicLeadership: Develop anddrive the long-term vision for enterprise data platforms andarchitecture, ensuring alignment with organizational goals andpriorities. Collaborate with C-level executivesand business leaders to identify opportunities for leveraging dataas a strategic asset. DataPlatform Oversight: Overseethe design, implementation, and maintenance of modern dataplatforms, including cloud-native solutions, data lakes, datawarehouses, and real-time processingsystems. Ensure scalability, reliability, andhigh availability of the data ecosystem to support growing businessneeds. ArchitectureDesign: Define and implemententerprise data architecture standards, including data modeling,integration, and API frameworks. Optimizeworkflows and pipelines to ensure efficient and secure dataingestion, processing, storage, andaccess. Foster a data-driven culture byensuring architecture supports self-service analytics and businessintelligencetools. DataGovernance &Security: Establish andenforce robust data governance practices, ensuring compliance withregulatory requirements and companypolicies. Partner with IT security teams toimplement secure-by-design data architectures that protectsensitive information and mitigaterisks. TeamManagement: Lead and mentora team of data architects, platform engineers, and data governanceprofessionals. Foster a culture of innovation,collaboration, and continuous learning within theteam. EmergingTechnologies: Stay abreastof emerging technologies, tools, and industry trends in dataplatforms, AI/ML, and big data. Proactivelyevaluate and recommend new technologies that enhance datacapabilities and drive businessinnovation. Cross-FunctionalCollaboration: Partner withIT, analytics, and business teams to identify data needs andtranslate them into actionable platformsolutions. Advocate for data democratization byenabling access to clean, high-quality data fordecision-making. Whatare we lookingfor? Bachelor's or Master'sdegree in Computer Science, Information Systems, Data Engineering,or a related field. 10+ years of experience indata engineering, architecture, or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with short-termexecution. PreferredQualifications: Certificationsin cloud platforms (AWS Certified Data Analytics, Azure DataEngineer, etc.). Experience with AI/MLtechnologies and data scienceplatforms. Familiarity with DevOps, CI/CDpipelines, and Infrastructure as Code(IaC). Whatcan you expect fromMars? Work with diverse andtalented Associates, all guided by the FivePrinciples. Join a purpose driven company,where we're striving to build the world we want tomorrow,today. Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity. An industry competitive salary andbenefits package, including companybonus. Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.
May 13, 2025
Full time
JobDescription: Weare seeking a highly skilled and visionary Director ofData Platforms and Architecture to lead the design,development, and governance of our enterprise-wide Snacking dataplatform ecosystem. This individual will be responsible for drivingplatform strategy, fostering innovation, and ensuring robust dataarchitecture that empower multiple products and capabilities topower business decisions, scalability, and operationalexcellence. As a strategic leader, the Directorof Data Platforms and Architecture will oversee the implementationand optimization of cutting-edge data technologies & solutions,establish best practices in data platforms and governance, andprovide technical leadership to multidisciplinary teams. You willwork closely with stakeholders across business, IT, and analyticsteams to align data architecture with organizational goals,enabling seamless data acquisition and advanced analyticscapabilities. Whatwill be your keyresponsibilities? StrategicLeadership: Develop anddrive the long-term vision for enterprise data platforms andarchitecture, ensuring alignment with organizational goals andpriorities. Collaborate with C-level executivesand business leaders to identify opportunities for leveraging dataas a strategic asset. DataPlatform Oversight: Overseethe design, implementation, and maintenance of modern dataplatforms, including cloud-native solutions, data lakes, datawarehouses, and real-time processingsystems. Ensure scalability, reliability, andhigh availability of the data ecosystem to support growing businessneeds. ArchitectureDesign: Define and implemententerprise data architecture standards, including data modeling,integration, and API frameworks. Optimizeworkflows and pipelines to ensure efficient and secure dataingestion, processing, storage, andaccess. Foster a data-driven culture byensuring architecture supports self-service analytics and businessintelligencetools. DataGovernance &Security: Establish andenforce robust data governance practices, ensuring compliance withregulatory requirements and companypolicies. Partner with IT security teams toimplement secure-by-design data architectures that protectsensitive information and mitigaterisks. TeamManagement: Lead and mentora team of data architects, platform engineers, and data governanceprofessionals. Foster a culture of innovation,collaboration, and continuous learning within theteam. EmergingTechnologies: Stay abreastof emerging technologies, tools, and industry trends in dataplatforms, AI/ML, and big data. Proactivelyevaluate and recommend new technologies that enhance datacapabilities and drive businessinnovation. Cross-FunctionalCollaboration: Partner withIT, analytics, and business teams to identify data needs andtranslate them into actionable platformsolutions. Advocate for data democratization byenabling access to clean, high-quality data fordecision-making. Whatare we lookingfor? Bachelor's or Master'sdegree in Computer Science, Information Systems, Data Engineering,or a related field. 10+ years of experience indata engineering, architecture, or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with short-termexecution. PreferredQualifications: Certificationsin cloud platforms (AWS Certified Data Analytics, Azure DataEngineer, etc.). Experience with AI/MLtechnologies and data scienceplatforms. Familiarity with DevOps, CI/CDpipelines, and Infrastructure as Code(IaC). Whatcan you expect fromMars? Work with diverse andtalented Associates, all guided by the FivePrinciples. Join a purpose driven company,where we're striving to build the world we want tomorrow,today. Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity. An industry competitive salary andbenefits package, including companybonus. Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.
Program Manager I, IN AMXL Supply Chain, AMXL Supply Chain If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment- you might be a good fit to join Amazon Supply chain execution team. This role involves driving critical decisions with cross functional teams and middle management leadership; and demands strong program management skills along-with an ability to drive data driven discussions. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in Sales & Operations Planning and network configurations. The incumbent will own the following - 1) Responsible for working with Operations, Finance, External fulfillment and other Amazon teams to identify and systematically solve pain points 2) Responsible for driving cost benefit analysis and go/no-go decisions on various initiatives 3) Once a go decision is made, the program manager will work to evolve a plan and timeline for execution. 4) The program manager will develop a roadmap and metrics to measure progress of the initiative they own. They will also own writing reports that detail the progress to leadership on a frequent basis 5) Liaise across functions to drive their project and help clear issues and bottlenecks. 6) Work with technology teams to scope out and drive any tech changes that are needed BASIC QUALIFICATIONS - 2+ years of performance metrics, process improvement or lean techniques experience - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Bachelor's degree in supply chain management, operations, engineering, analytics or related field PREFERRED QUALIFICATIONS - (a) Sound understanding of fulfillment operations across First Mile or Last Mile. - (b) Hands-on experience in data-based root cause analysis to complex problems. Ability to independently present this to leadership. - (c) Ability to create SOPs and put in mechanisms for recurring opportunities/challenges. - (d) Ability to elevate conversations and open decisions to the right leaders to seek support and make progress collectively with stakeholders. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
May 13, 2025
Full time
Program Manager I, IN AMXL Supply Chain, AMXL Supply Chain If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment- you might be a good fit to join Amazon Supply chain execution team. This role involves driving critical decisions with cross functional teams and middle management leadership; and demands strong program management skills along-with an ability to drive data driven discussions. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in Sales & Operations Planning and network configurations. The incumbent will own the following - 1) Responsible for working with Operations, Finance, External fulfillment and other Amazon teams to identify and systematically solve pain points 2) Responsible for driving cost benefit analysis and go/no-go decisions on various initiatives 3) Once a go decision is made, the program manager will work to evolve a plan and timeline for execution. 4) The program manager will develop a roadmap and metrics to measure progress of the initiative they own. They will also own writing reports that detail the progress to leadership on a frequent basis 5) Liaise across functions to drive their project and help clear issues and bottlenecks. 6) Work with technology teams to scope out and drive any tech changes that are needed BASIC QUALIFICATIONS - 2+ years of performance metrics, process improvement or lean techniques experience - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Bachelor's degree in supply chain management, operations, engineering, analytics or related field PREFERRED QUALIFICATIONS - (a) Sound understanding of fulfillment operations across First Mile or Last Mile. - (b) Hands-on experience in data-based root cause analysis to complex problems. Ability to independently present this to leadership. - (c) Ability to create SOPs and put in mechanisms for recurring opportunities/challenges. - (d) Ability to elevate conversations and open decisions to the right leaders to seek support and make progress collectively with stakeholders. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
i2, a Harris Computer company, are seeking an experienced AI Solutions Architect on a full-time, permanent, remote-working basis, in the UK. The AI Solutions Architect will be responsible for translating business needs into innovative AI solutions by deeply understanding industry trends, defining actionable problems, and architecting robust multi-model AI applications. This role requires a strong technical foundation in machine learning, deep learning, and data engineering, alongside architectural design skills to guide the selection and implementation of appropriate technologies like TensorFlow and PyTorch. You'll collaborate closely with development teams to build and deploy POCs, proactively assess risks such as data bias, and ensure the solution delivers tangible business value through effective monitoring, logging, and a deep understanding of business processes. This permanent position will be performed on a remote basis with a requirement to visit the i2 Office in Cambridge, UK as and when there is a business need to do so (circa 2 days per month). What you will do In performing this position, your core duties and responsibilities will include (but will not be limited to): Understanding Business Needs & Defining the Problem: Stakeholder Engagement: Understand evolving customer and industry requirements and position opportunities for AI solutions. This involves talking to industry leaders, customers, product managers, and end-users Problem Framing: Be able to spot emerging industry trends and translate these into clearly defined actionable AI solutions Thought Leadership: Have a strong understanding of emerging AI trends and the ability to articulate a clear vision for how our organization can leverage AI to achieve strategic business objectives, contributing to the company's overall thought leadership in the field Designing the AI Solutions: Technology Selection: Based on the problem definition, research and recommend the appropriate AI technologies - this could include: Machine Learning Models: (e.g., Regression, Classification, Clustering) Deep Learning Frameworks: (TensorFlow, PyTorch) AI Models: Identifying and assessing the different AI models Architecture Design: create a high-level architectural blueprint for the AI solution, outlining the components, data flow, and integration points. This includes: Model Training Infrastructure: How the model will be trained such as: GPU clusters, cloud-based training services Deployment Strategy: How the model will be deployed including containerization, serverless functions Monitoring & Logging: Setting up systems to track model performance, identify issues and provide explainability Collaboration & Execution: Working with Development Teams: Collaborate closely with data scientists, machine learning engineers, and software developers to ensure the solution is built according to the design Proof of Concept (POC) Development: Lead the development of a small-scale POC to validate the feasibility of the solutions, analytics and User Experience Risk Assessment: Identifying and mitigating potential risks related to the AI solution such as data bias, model drift What we are looking for A Deep Technical Knowledge in: Machine Learning Fundamentals, AI Agent Frameworks, Deep Learning, Data Engineering, DevOps Principles Architectural Design Skills: Demonstrate experience designing and deploying complex multi model AI applications. Communication & Collaboration: Crucial for working with diverse teams. Problem-Solving: Analytical and creative problem-solving skills. Business Acumen: Understanding of business processes and how AI can drive value. About i2 Our intelligence analysis software tools help analysts and investigators transform data in real-time, enabling customers to detect, disrupt, and defeat sophisticated threats. We serve global customers carrying out critical missions in public safety, defense, fraud, and financial crimes. Learn more at: As a Harris Computer company, we strive to create a respectful and united environment where all members of our globally diverse community are empowered and have equitable opportunities to succeed. Benefits Harris offers an extremely competitive UK employee benefits programme. 5 Personal Days leave entitlement are granted over and above the standard 25 days holiday and bank holidays. Harris also offers all UK employees an annual Lifestyle Reward amounting £325 per annum/pro rata. Supporting your application Our recruitment process will comprise of interviews and, at times, a written exercise, an assessment day and/or a presentation. As an equal opportunities' employer, we want to make sure we do all we can to make this a positive experience for you. When applying, please make us aware on your application of any adjustments or additional support we can provide you with before or on the day of an interview.
May 13, 2025
Full time
i2, a Harris Computer company, are seeking an experienced AI Solutions Architect on a full-time, permanent, remote-working basis, in the UK. The AI Solutions Architect will be responsible for translating business needs into innovative AI solutions by deeply understanding industry trends, defining actionable problems, and architecting robust multi-model AI applications. This role requires a strong technical foundation in machine learning, deep learning, and data engineering, alongside architectural design skills to guide the selection and implementation of appropriate technologies like TensorFlow and PyTorch. You'll collaborate closely with development teams to build and deploy POCs, proactively assess risks such as data bias, and ensure the solution delivers tangible business value through effective monitoring, logging, and a deep understanding of business processes. This permanent position will be performed on a remote basis with a requirement to visit the i2 Office in Cambridge, UK as and when there is a business need to do so (circa 2 days per month). What you will do In performing this position, your core duties and responsibilities will include (but will not be limited to): Understanding Business Needs & Defining the Problem: Stakeholder Engagement: Understand evolving customer and industry requirements and position opportunities for AI solutions. This involves talking to industry leaders, customers, product managers, and end-users Problem Framing: Be able to spot emerging industry trends and translate these into clearly defined actionable AI solutions Thought Leadership: Have a strong understanding of emerging AI trends and the ability to articulate a clear vision for how our organization can leverage AI to achieve strategic business objectives, contributing to the company's overall thought leadership in the field Designing the AI Solutions: Technology Selection: Based on the problem definition, research and recommend the appropriate AI technologies - this could include: Machine Learning Models: (e.g., Regression, Classification, Clustering) Deep Learning Frameworks: (TensorFlow, PyTorch) AI Models: Identifying and assessing the different AI models Architecture Design: create a high-level architectural blueprint for the AI solution, outlining the components, data flow, and integration points. This includes: Model Training Infrastructure: How the model will be trained such as: GPU clusters, cloud-based training services Deployment Strategy: How the model will be deployed including containerization, serverless functions Monitoring & Logging: Setting up systems to track model performance, identify issues and provide explainability Collaboration & Execution: Working with Development Teams: Collaborate closely with data scientists, machine learning engineers, and software developers to ensure the solution is built according to the design Proof of Concept (POC) Development: Lead the development of a small-scale POC to validate the feasibility of the solutions, analytics and User Experience Risk Assessment: Identifying and mitigating potential risks related to the AI solution such as data bias, model drift What we are looking for A Deep Technical Knowledge in: Machine Learning Fundamentals, AI Agent Frameworks, Deep Learning, Data Engineering, DevOps Principles Architectural Design Skills: Demonstrate experience designing and deploying complex multi model AI applications. Communication & Collaboration: Crucial for working with diverse teams. Problem-Solving: Analytical and creative problem-solving skills. Business Acumen: Understanding of business processes and how AI can drive value. About i2 Our intelligence analysis software tools help analysts and investigators transform data in real-time, enabling customers to detect, disrupt, and defeat sophisticated threats. We serve global customers carrying out critical missions in public safety, defense, fraud, and financial crimes. Learn more at: As a Harris Computer company, we strive to create a respectful and united environment where all members of our globally diverse community are empowered and have equitable opportunities to succeed. Benefits Harris offers an extremely competitive UK employee benefits programme. 5 Personal Days leave entitlement are granted over and above the standard 25 days holiday and bank holidays. Harris also offers all UK employees an annual Lifestyle Reward amounting £325 per annum/pro rata. Supporting your application Our recruitment process will comprise of interviews and, at times, a written exercise, an assessment day and/or a presentation. As an equal opportunities' employer, we want to make sure we do all we can to make this a positive experience for you. When applying, please make us aware on your application of any adjustments or additional support we can provide you with before or on the day of an interview.
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
May 12, 2025
Full time
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
JobDescription: Weare seeking a highly skilled and visionary Director ofData Platforms and Architecture to lead the design,development, and governance of our enterprise-wide Snacking dataplatform ecosystem. This individual will be responsible for drivingplatform strategy, fostering innovation, and ensuring robust dataarchitecture that empower multiple products and capabilities topower business decisions, scalability, and operationalexcellence. As a strategic leader, the Directorof Data Platforms and Architecture will oversee the implementationand optimization of cutting-edge data technologies & solutions,establish best practices in data platforms and governance, andprovide technical leadership to multidisciplinary teams. You willwork closely with stakeholders across business, IT, and analyticsteams to align data architecture with organizational goals,enabling seamless data acquisition and advanced analyticscapabilities. Whatwill be your keyresponsibilities? StrategicLeadership: Develop anddrive the long-term vision for enterprise data platforms andarchitecture, ensuring alignment with organizational goals andpriorities. Collaborate with C-level executivesand business leaders to identify opportunities for leveraging dataas a strategic asset. DataPlatform Oversight: Overseethe design, implementation, and maintenance of modern dataplatforms, including cloud-native solutions, data lakes, datawarehouses, and real-time processingsystems. Ensure scalability, reliability, andhigh availability of the data ecosystem to support growing businessneeds. ArchitectureDesign: Define and implemententerprise data architecture standards, including data modeling,integration, and API frameworks. Optimizeworkflows and pipelines to ensure efficient and secure dataingestion, processing, storage, andaccess. Foster a data-driven culture byensuring architecture supports self-service analytics and businessintelligencetools. DataGovernance &Security: Establish andenforce robust data governance practices, ensuring compliance withregulatory requirements and companypolicies. Partner with IT security teams toimplement secure-by-design data architectures that protectsensitive information and mitigaterisks. TeamManagement: Lead and mentora team of data architects, platform engineers, and data governanceprofessionals. Foster a culture of innovation,collaboration, and continuous learning within theteam. EmergingTechnologies: Stay abreastof emerging technologies, tools, and industry trends in dataplatforms, AI/ML, and big data. Proactivelyevaluate and recommend new technologies that enhance datacapabilities and drive businessinnovation. Cross-FunctionalCollaboration: Partner withIT, analytics, and business teams to identify data needs andtranslate them into actionable platformsolutions. Advocate for data democratization byenabling access to clean, high-quality data fordecision-making. Whatare we lookingfor? Bachelor's or Master'sdegree in Computer Science, Information Systems, Data Engineering,or a related field. 10+ years of experience indata engineering, architecture, or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with short-termexecution. PreferredQualifications: Certificationsin cloud platforms (AWS Certified Data Analytics, Azure DataEngineer, etc.). Experience with AI/MLtechnologies and data scienceplatforms. Familiarity with DevOps, CI/CDpipelines, and Infrastructure as Code(IaC). Whatcan you expect fromMars? Work with diverse andtalented Associates, all guided by the FivePrinciples. Join a purpose driven company,where we're striving to build the world we want tomorrow,today. Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity. An industry competitive salary andbenefits package, including companybonus. Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.
May 12, 2025
Full time
JobDescription: Weare seeking a highly skilled and visionary Director ofData Platforms and Architecture to lead the design,development, and governance of our enterprise-wide Snacking dataplatform ecosystem. This individual will be responsible for drivingplatform strategy, fostering innovation, and ensuring robust dataarchitecture that empower multiple products and capabilities topower business decisions, scalability, and operationalexcellence. As a strategic leader, the Directorof Data Platforms and Architecture will oversee the implementationand optimization of cutting-edge data technologies & solutions,establish best practices in data platforms and governance, andprovide technical leadership to multidisciplinary teams. You willwork closely with stakeholders across business, IT, and analyticsteams to align data architecture with organizational goals,enabling seamless data acquisition and advanced analyticscapabilities. Whatwill be your keyresponsibilities? StrategicLeadership: Develop anddrive the long-term vision for enterprise data platforms andarchitecture, ensuring alignment with organizational goals andpriorities. Collaborate with C-level executivesand business leaders to identify opportunities for leveraging dataas a strategic asset. DataPlatform Oversight: Overseethe design, implementation, and maintenance of modern dataplatforms, including cloud-native solutions, data lakes, datawarehouses, and real-time processingsystems. Ensure scalability, reliability, andhigh availability of the data ecosystem to support growing businessneeds. ArchitectureDesign: Define and implemententerprise data architecture standards, including data modeling,integration, and API frameworks. Optimizeworkflows and pipelines to ensure efficient and secure dataingestion, processing, storage, andaccess. Foster a data-driven culture byensuring architecture supports self-service analytics and businessintelligencetools. DataGovernance &Security: Establish andenforce robust data governance practices, ensuring compliance withregulatory requirements and companypolicies. Partner with IT security teams toimplement secure-by-design data architectures that protectsensitive information and mitigaterisks. TeamManagement: Lead and mentora team of data architects, platform engineers, and data governanceprofessionals. Foster a culture of innovation,collaboration, and continuous learning within theteam. EmergingTechnologies: Stay abreastof emerging technologies, tools, and industry trends in dataplatforms, AI/ML, and big data. Proactivelyevaluate and recommend new technologies that enhance datacapabilities and drive businessinnovation. Cross-FunctionalCollaboration: Partner withIT, analytics, and business teams to identify data needs andtranslate them into actionable platformsolutions. Advocate for data democratization byenabling access to clean, high-quality data fordecision-making. Whatare we lookingfor? Bachelor's or Master'sdegree in Computer Science, Information Systems, Data Engineering,or a related field. 10+ years of experience indata engineering, architecture, or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with short-termexecution. PreferredQualifications: Certificationsin cloud platforms (AWS Certified Data Analytics, Azure DataEngineer, etc.). Experience with AI/MLtechnologies and data scienceplatforms. Familiarity with DevOps, CI/CDpipelines, and Infrastructure as Code(IaC). Whatcan you expect fromMars? Work with diverse andtalented Associates, all guided by the FivePrinciples. Join a purpose driven company,where we're striving to build the world we want tomorrow,today. Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity. An industry competitive salary andbenefits package, including companybonus. Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
May 12, 2025
Full time
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Paysafe is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With 29 years of online payment experience, an annualized transactional volume of $152 billion in 2024, and approximately 3,300 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in 48 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at . It starts here. Have a global impact on the world of payments. Are you an AI visionary with a passion for shaping the future of Generative AI? We're seeking a Senior Director, Gen AI to lead the development of advanced AI agents, leveraging LLMs, reinforcement learning, vector databases, and autonomous systems. As a key AI strategy leader, you'll define the next-generation consumer experiences, enabling real-time merchant insights, AI-powered Ops automation, and cutting-edge chatbot capabilities. You will collaborate closely with executive leadership, key industry stakeholders, and regulatory bodies to ensure AI solutions align with global standards and drive measurable business impact. What Paysafe stands for: Being open and honest. Keeping focused. Operating with Courage. Pioneering the future. Our values and culture are driven by Equality, Development, Social Responsibility and Wellbeing. If you want to find out more about life at Paysafe, check out our careers page here . How we work: We follow a hybrid working model, spending an average of three days per week at our office location. The office is located in Gresham Street next to St Paul's cathedral with easy access and transport links via St Paul's, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House. The impact you will have: AI Agent Development: Design and optimize AI agents capable of autonomous learning, decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. Multi-Agent Systems: Implement collaborative AI systems that solve complex challenges in payments and customer interactions. Long-Term AI Memory & Personalization: Develop solutions to enhance AI contextual understanding and improve user experiences. End-to-End AI Automation: Build architectures to integrate AI with APIs, databases, and external applications for seamless automation. Machine Learning Pipeline Optimization: Define best practices for AI experimentation, model deployment, and cloud-scale AI processing. Gen AI for Consumer-Facing Products: Elevate chatbot capabilities with consumer insights and conversational AI UX/UI within Optic Portal. AI for Operations Efficiency: Automate Ops workflows to enhance self-service capabilities for merchants and consumers, improving service quality and cost efficiency. What we're looking for: Education: PhD or Master's in Computer Science, AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in return: Make your day work for you with our flexible working hours. You decide what your holiday looks like with the option to buy or sell your holiday and carry over up to 5 days into the next year. Enjoy social events on our roof top terrace with views onto St Pauls Cathedral. Our fully equipped facilities include showers, hairdryers and straighteners and fresh towels. Start your day with a free breakfast, fresh fruit and snacks. Take a breather in our dedicated wellbeing room. Spend time with those important to you with our enhanced paid family policies. Test our products Skrill and Neteller. Upon joining we will award you £50 into each wallet. Enjoy our discounts on memberships via vitality including, gyms, leisure centres, yoga/Pilates across the country. Need a new Laptop or TV? We offer support purchasing Apple and LG products via Stormfront technology. Join our six employee-led equality communities and help foster a workplace that celebrates diversity and create opportunities to collaborate and learn. Give back to the community with four paid charity days. Kickstart your weekend early with our summer hours during the months of June, July and August with a 3pm finish every Friday. Let's not forget, we also offer: Private health insurance (pre-existing conditions are included) & dental insurance, income protection, life assurance and more. What to expect next: Phone screen with Talent Acquisition Video interview with Stakeholder In-person interview with hiring manager Final HR interview with Talent Acquisition If you're successful joining the team, you'll be meeting our CEO in person during our new joiners breakfast in London - a great opportunity to network with your peers. Paysafe is an equal opportunity employer. We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, color, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.
May 12, 2025
Full time
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Paysafe is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With 29 years of online payment experience, an annualized transactional volume of $152 billion in 2024, and approximately 3,300 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in 48 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at . It starts here. Have a global impact on the world of payments. Are you an AI visionary with a passion for shaping the future of Generative AI? We're seeking a Senior Director, Gen AI to lead the development of advanced AI agents, leveraging LLMs, reinforcement learning, vector databases, and autonomous systems. As a key AI strategy leader, you'll define the next-generation consumer experiences, enabling real-time merchant insights, AI-powered Ops automation, and cutting-edge chatbot capabilities. You will collaborate closely with executive leadership, key industry stakeholders, and regulatory bodies to ensure AI solutions align with global standards and drive measurable business impact. What Paysafe stands for: Being open and honest. Keeping focused. Operating with Courage. Pioneering the future. Our values and culture are driven by Equality, Development, Social Responsibility and Wellbeing. If you want to find out more about life at Paysafe, check out our careers page here . How we work: We follow a hybrid working model, spending an average of three days per week at our office location. The office is located in Gresham Street next to St Paul's cathedral with easy access and transport links via St Paul's, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House. The impact you will have: AI Agent Development: Design and optimize AI agents capable of autonomous learning, decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. Multi-Agent Systems: Implement collaborative AI systems that solve complex challenges in payments and customer interactions. Long-Term AI Memory & Personalization: Develop solutions to enhance AI contextual understanding and improve user experiences. End-to-End AI Automation: Build architectures to integrate AI with APIs, databases, and external applications for seamless automation. Machine Learning Pipeline Optimization: Define best practices for AI experimentation, model deployment, and cloud-scale AI processing. Gen AI for Consumer-Facing Products: Elevate chatbot capabilities with consumer insights and conversational AI UX/UI within Optic Portal. AI for Operations Efficiency: Automate Ops workflows to enhance self-service capabilities for merchants and consumers, improving service quality and cost efficiency. What we're looking for: Education: PhD or Master's in Computer Science, AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in return: Make your day work for you with our flexible working hours. You decide what your holiday looks like with the option to buy or sell your holiday and carry over up to 5 days into the next year. Enjoy social events on our roof top terrace with views onto St Pauls Cathedral. Our fully equipped facilities include showers, hairdryers and straighteners and fresh towels. Start your day with a free breakfast, fresh fruit and snacks. Take a breather in our dedicated wellbeing room. Spend time with those important to you with our enhanced paid family policies. Test our products Skrill and Neteller. Upon joining we will award you £50 into each wallet. Enjoy our discounts on memberships via vitality including, gyms, leisure centres, yoga/Pilates across the country. Need a new Laptop or TV? We offer support purchasing Apple and LG products via Stormfront technology. Join our six employee-led equality communities and help foster a workplace that celebrates diversity and create opportunities to collaborate and learn. Give back to the community with four paid charity days. Kickstart your weekend early with our summer hours during the months of June, July and August with a 3pm finish every Friday. Let's not forget, we also offer: Private health insurance (pre-existing conditions are included) & dental insurance, income protection, life assurance and more. What to expect next: Phone screen with Talent Acquisition Video interview with Stakeholder In-person interview with hiring manager Final HR interview with Talent Acquisition If you're successful joining the team, you'll be meeting our CEO in person during our new joiners breakfast in London - a great opportunity to network with your peers. Paysafe is an equal opportunity employer. We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, color, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
May 12, 2025
Full time
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
May 12, 2025
Full time
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
May 12, 2025
Full time
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
Job ID: AWS EMEA SARL (Finland Branch) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. AWS Enterprise Support, Technical Account Managers (TAM) support our customers' creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and 'voice of the customer' to organizations ranging from start-ups to Fortune 500 enterprises. Key job responsibilities As a TAM working with Public Sector customers, you will help craft and execute strategies to drive our customers' adoption and use of AWS services - including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's environment, and drive discussions with senior leadership regarding incidents, trade-offs, support, and risk management. You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers' AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed. Watch a short video about life as a Technical Account Manager here: The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us! About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS ? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment 3+ years experience in Informational Technology operations Internal enterprise or external customer-facing experience Fluency in English & Finnish PREFERRED QUALIFICATIONS Experience with AWS services or other cloud offerings Experience in internal enterprise or external customer-facing environment as a technical lead Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
May 12, 2025
Full time
Job ID: AWS EMEA SARL (Finland Branch) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. AWS Enterprise Support, Technical Account Managers (TAM) support our customers' creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and 'voice of the customer' to organizations ranging from start-ups to Fortune 500 enterprises. Key job responsibilities As a TAM working with Public Sector customers, you will help craft and execute strategies to drive our customers' adoption and use of AWS services - including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's environment, and drive discussions with senior leadership regarding incidents, trade-offs, support, and risk management. You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers' AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed. Watch a short video about life as a Technical Account Manager here: The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us! About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS ? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment 3+ years experience in Informational Technology operations Internal enterprise or external customer-facing experience Fluency in English & Finnish PREFERRED QUALIFICATIONS Experience with AWS services or other cloud offerings Experience in internal enterprise or external customer-facing environment as a technical lead Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
May 12, 2025
Full time
Business Unit: Model Risk Analytics Salary range: £60,000 - £75,000 per annum DOE + red-hot benefits Location: UK Flexible (expectation to attend a local HUB 1x per month & attend offsites, 3/4 x per year) Contract type: Permanent Be the voice we need. Live a life more Virgin. Our Team As an IFRS 9 Modelling Manager you will lead a small team of modellers and data scientists to develop risk and macroeconomic models to forecast the Banks Loan Loss provisions. The remit is wide and covers all types of models within the IFRS 9 Provisioning landscape. This includes exposure to a range of business areas and covers retail and business banking products and customers. The team's focus is on the development, validation, management and monitoring of our models and providing first class support to our stakeholders across Risk and Finance. What you'll be doing Planning and executing the regular model related IFRS9 BAU processes (quarterly economic model refreshes, PMA calculations) Developing and implementing IFRS9 credit risk models, in line with stakeholder expectation, Bank standards and regulatory expectation Liaising with stakeholders in Risk and Finance to set expectation for the delivery of model outputs into BAU processes Presenting Model outcomes, and propose solutions to overcome model weaknesses, to relevant stakeholders in Risk and Finance as part of the quarterly process Leading on audit review of Business Banking IFRS9 model outputs Documenting analytics to support recommendation papers to committees and stakeholders Proactively support wider teams on topics relating to Business Banking models Providing leadership in team and wider network discussions across the Bank. We need you to have Proven experience leading small teams as part of a IFRS9/Stress Testing modelling process Demonstrable significant involvement in most components of the Model Lifecycle (Scoping, development, implementation, monitoring) Confidence in explaining model outcomes to non-technical specialists and an ability to use persuasive arguments to influence key stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and lending processes Experience of working interactions with external auditors and regulators Experience of mentoring junior team members. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we're lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We're making great strides towards achieving our ambition of becoming the UK's best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we're a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, 'Making You Happier About Money.' This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We're committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team It's important to note that there may be occasions where it's not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants. Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks - we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Five billion people in the world do not have access to safe and affordable surgery, and this is a problem everywhere, not just in developing countries. Proximie is on a mission to improve healthcare by transforming the world's operating rooms into connected ecosystems of people, devices, and data. Proximie's advanced telepresence and cloud data solutions ensure seamless information flow in and out of the operating room (OR). Once collected, this data becomes a "single source of truth," allowing healthcare professionals to utilize powerful analytics to identify patterns, trends, and bottlenecks, as well as uncover optimization opportunities. Proximie empowers medical device companies and healthcare organizations with operating room intelligence to drive productivity and innovation. Our key solution areas are: Real-time Connectivity: Be in the operating room from anywhere. Unified Data: Creating a single source of truth in the OR. Analytics and Insight: Turning incisive insight into decisive results. Video Library: Learn more from every procedure. Proximie was Founded in 2016 by Dr. Nadine Hachach Haram, an NHS surgeon and is headquartered in London with offices in the United States and Lebanon. Proximie has 100 employees today and is deployed in over 50 countries. Position Overview As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie's continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You'll harness the power of Proximie's deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie's customers. The second machine learning engineer position will lead the development of intelligent systems that can automatically detect and capture key events in the operating room. You'll design robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video. Both roles demand creativity, precision, and a deep understanding of real-world machine learning at scale. If you're excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we'd love to hear from you. Responsibilities Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world. Design, train and validate machine learning mono and multi-modal models using state of the art approaches. Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design. Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance. Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie's data lakes. Document solutions and contribute to internal knowledge sharing and capability building. Requirements PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred. Minimum of 4 years' hands-on experience in industry, developing and deploying AI solutions which solve real-world problems. Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable. Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision. Proficiency with deep learning frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable. Ability to communicate complex technical concepts clearly to non-technical stakeholders. Why Work for Proximie? You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie's values are Ownership, Deliver Results, Build Trust and Go Beyond. Generous annual leave. Two "well-being" days per year plus the day off for your birthday. "Summer Fridays" - early office closing on Fridays during summer months. Annual bonus programme - based on individual contribution. To support your professional growth, all permanent employees will have access to an annual stipend of £1,000 to assist with personal development activities. Flexible working hours - we trust our people to manage their time and to focus on wider results. A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged. Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world. Proximie is an equal-opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.
May 12, 2025
Full time
Five billion people in the world do not have access to safe and affordable surgery, and this is a problem everywhere, not just in developing countries. Proximie is on a mission to improve healthcare by transforming the world's operating rooms into connected ecosystems of people, devices, and data. Proximie's advanced telepresence and cloud data solutions ensure seamless information flow in and out of the operating room (OR). Once collected, this data becomes a "single source of truth," allowing healthcare professionals to utilize powerful analytics to identify patterns, trends, and bottlenecks, as well as uncover optimization opportunities. Proximie empowers medical device companies and healthcare organizations with operating room intelligence to drive productivity and innovation. Our key solution areas are: Real-time Connectivity: Be in the operating room from anywhere. Unified Data: Creating a single source of truth in the OR. Analytics and Insight: Turning incisive insight into decisive results. Video Library: Learn more from every procedure. Proximie was Founded in 2016 by Dr. Nadine Hachach Haram, an NHS surgeon and is headquartered in London with offices in the United States and Lebanon. Proximie has 100 employees today and is deployed in over 50 countries. Position Overview As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie's continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You'll harness the power of Proximie's deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie's customers. The second machine learning engineer position will lead the development of intelligent systems that can automatically detect and capture key events in the operating room. You'll design robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video. Both roles demand creativity, precision, and a deep understanding of real-world machine learning at scale. If you're excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we'd love to hear from you. Responsibilities Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world. Design, train and validate machine learning mono and multi-modal models using state of the art approaches. Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design. Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance. Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie's data lakes. Document solutions and contribute to internal knowledge sharing and capability building. Requirements PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred. Minimum of 4 years' hands-on experience in industry, developing and deploying AI solutions which solve real-world problems. Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable. Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision. Proficiency with deep learning frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable. Ability to communicate complex technical concepts clearly to non-technical stakeholders. Why Work for Proximie? You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie's values are Ownership, Deliver Results, Build Trust and Go Beyond. Generous annual leave. Two "well-being" days per year plus the day off for your birthday. "Summer Fridays" - early office closing on Fridays during summer months. Annual bonus programme - based on individual contribution. To support your professional growth, all permanent employees will have access to an annual stipend of £1,000 to assist with personal development activities. Flexible working hours - we trust our people to manage their time and to focus on wider results. A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged. Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world. Proximie is an equal-opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Research Scientist, Systems and Infrastructure (PhD) We build systems that allow billions of people all over the world to connect and communicate using whatever devices they have available. Our researchers and engineers are constant innovators as they design and build scalable, fast, reliable, and efficient systems. Moreover, fast evolving social apps and highly dynamic social workloads present many unique research opportunities. From distributed systems, to data centers, hardware, storage, mobile and beyond, the entire Meta platform is our lab for research, development, and innovation. As a Research Scientist at Meta, you will help build the systems behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team that's working to help connect people around the globe. You will have a keen interest in relevant engineering fields, including (but not limited to) machine learning and artificial intelligence, distributed software systems, storage systems, data warehousing and analytics, database systems, operating systems, networking systems, programming languages, compilers & runtime systems, security & privacy, cryptography, and mobile systems. Responsibilities Design flexible APIs for Meta product teams developing applications for web and mobile Proactively identify and drive changes as needed for assigned codebase, product area and/or systems Perform specific responsibilities which vary by team Minimum Qualifications Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science or relevant technical field. Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Experience programming in a relevant programming language Relevant experience building large-scale infrastructure systems or similar experience Experience identifying, designing and completing medium to large features independently without guidance Experience building and shipping high quality work and achieving high reliability Research and/or work experience in Algorithms, Architecture, Compilers, Databases, Data Mining, Distributed Systems, Mobile, Networking, Operating Systems, Programming Languages, Security, Cryptography, or Storage Knowledge of relational databases and SQL Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications Demonstrated software engineer experience via an internship, work experience, coding competitions, or contributions in open source repositories (e.g. GitHub) Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences Experience solving complex problems and comparing alternative solutions, trade offs, and different perspectives to determine a path forward Interpersonal experience working and communicating cross functionally in a team environment Exposure to architectural patterns of large scale software applications Experience in programming languages such as C, C++, Java
May 12, 2025
Full time
Research Scientist, Systems and Infrastructure (PhD) We build systems that allow billions of people all over the world to connect and communicate using whatever devices they have available. Our researchers and engineers are constant innovators as they design and build scalable, fast, reliable, and efficient systems. Moreover, fast evolving social apps and highly dynamic social workloads present many unique research opportunities. From distributed systems, to data centers, hardware, storage, mobile and beyond, the entire Meta platform is our lab for research, development, and innovation. As a Research Scientist at Meta, you will help build the systems behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team that's working to help connect people around the globe. You will have a keen interest in relevant engineering fields, including (but not limited to) machine learning and artificial intelligence, distributed software systems, storage systems, data warehousing and analytics, database systems, operating systems, networking systems, programming languages, compilers & runtime systems, security & privacy, cryptography, and mobile systems. Responsibilities Design flexible APIs for Meta product teams developing applications for web and mobile Proactively identify and drive changes as needed for assigned codebase, product area and/or systems Perform specific responsibilities which vary by team Minimum Qualifications Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science or relevant technical field. Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Experience programming in a relevant programming language Relevant experience building large-scale infrastructure systems or similar experience Experience identifying, designing and completing medium to large features independently without guidance Experience building and shipping high quality work and achieving high reliability Research and/or work experience in Algorithms, Architecture, Compilers, Databases, Data Mining, Distributed Systems, Mobile, Networking, Operating Systems, Programming Languages, Security, Cryptography, or Storage Knowledge of relational databases and SQL Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications Demonstrated software engineer experience via an internship, work experience, coding competitions, or contributions in open source repositories (e.g. GitHub) Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences Experience solving complex problems and comparing alternative solutions, trade offs, and different perspectives to determine a path forward Interpersonal experience working and communicating cross functionally in a team environment Exposure to architectural patterns of large scale software applications Experience in programming languages such as C, C++, Java
Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means you'll be joining the "pond," a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community-and the world at large. An Overview Of The Role We are seeking a highly skilled Senior Consultant with at least 5 years of hands-on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science and machine learning. Utilize visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional teams to understand business challenges and create valuable products/solutions. Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector). Familiarity with Agentic AI development. Familiarity with ethical considerations and best practices in AI and data science. A curious mindset and interest with the latest advancements in AI, machine learning, and data science space. Need To Know We don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. About Capgemini Invent Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. When you join Capgemini, you don't just start a new job. You become part of something bigger.
May 12, 2025
Full time
Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means you'll be joining the "pond," a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community-and the world at large. An Overview Of The Role We are seeking a highly skilled Senior Consultant with at least 5 years of hands-on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science and machine learning. Utilize visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional teams to understand business challenges and create valuable products/solutions. Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector). Familiarity with Agentic AI development. Familiarity with ethical considerations and best practices in AI and data science. A curious mindset and interest with the latest advancements in AI, machine learning, and data science space. Need To Know We don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. About Capgemini Invent Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. When you join Capgemini, you don't just start a new job. You become part of something bigger.
