A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to regular company conferences and events. For this reason, they're able to consider candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Experience delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to 60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave And much more! Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
May 13, 2025
Full time
A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to regular company conferences and events. For this reason, they're able to consider candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Experience delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to 60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave And much more! Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
About the Role The Deputy BCN Biobank Operations Manager will be responsible for day-to-day activities of the Breast Cancer Now (BCN) Biobank operational centre. The post holder's duties include management of tissue acquisition, storage, material requests and release, data verification, line management of junior staff and provision of training. About You The post requires a dedicated, motivated and passionate individual who will oversee the day-to-day activities of the Breast Cancer Now Biobank (BCNB). Applicants must have an undergraduate degree in a relevant subject, desirable to have a postgraduate degree in a relevant subject and provide three good references. The role requires substantial skills in teamwork and experience working in the oncology research environment. This role requires management of the team of tissue collection and data officers, so line management experience is essential. Other required skills include being mutually supportive, covering duties as necessary. About the School/Department/Institute/Project The Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. It is one of six institutes within The Faculty of Medicine and Dentistry (FMD) BCI is internationally renowned in many areas of cancer research and it combines ground-breaking basic research with the expertise of clinicians and clinician scientists from the Centre for Experimental Cancer Medicine and the Barts NHS Trust to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we've fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it's simply 'the right thing to do' but for what it helps us achieve and the intellectual brilliance it delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus. The post is based at the Charterhouse Square Campus in London. It is full time (35 hours per week), fixed term appointment for 2 years, with an expected start date of 7th July 2025. The starting salary will be Grade 4, in the range of £37,889 - £45,974 per annum inclusive of London Allowance. Closing Date 03/06/2025, 23:55
May 13, 2025
Full time
About the Role The Deputy BCN Biobank Operations Manager will be responsible for day-to-day activities of the Breast Cancer Now (BCN) Biobank operational centre. The post holder's duties include management of tissue acquisition, storage, material requests and release, data verification, line management of junior staff and provision of training. About You The post requires a dedicated, motivated and passionate individual who will oversee the day-to-day activities of the Breast Cancer Now Biobank (BCNB). Applicants must have an undergraduate degree in a relevant subject, desirable to have a postgraduate degree in a relevant subject and provide three good references. The role requires substantial skills in teamwork and experience working in the oncology research environment. This role requires management of the team of tissue collection and data officers, so line management experience is essential. Other required skills include being mutually supportive, covering duties as necessary. About the School/Department/Institute/Project The Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. It is one of six institutes within The Faculty of Medicine and Dentistry (FMD) BCI is internationally renowned in many areas of cancer research and it combines ground-breaking basic research with the expertise of clinicians and clinician scientists from the Centre for Experimental Cancer Medicine and the Barts NHS Trust to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we've fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it's simply 'the right thing to do' but for what it helps us achieve and the intellectual brilliance it delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus. The post is based at the Charterhouse Square Campus in London. It is full time (35 hours per week), fixed term appointment for 2 years, with an expected start date of 7th July 2025. The starting salary will be Grade 4, in the range of £37,889 - £45,974 per annum inclusive of London Allowance. Closing Date 03/06/2025, 23:55
Data Scientist Salary: 50,000 - 57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply directly or email (url removed)
May 13, 2025
Full time
Data Scientist Salary: 50,000 - 57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection, and statistical modelling. Experience communicating complex findings to both technical and non-technical stakeholders. If you are interested and looking for your next role, please apply directly or email (url removed)
The Computational Chemistry List
Cambridge, Cambridgeshire
CCL 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Conferences upcoming conferences Jobs positions open Consultants COnsulting Companies -Resumes- resumes (positions wanted) From: jobs at ccl.net (do not send your application there ) To: jobs at ccl.net Date: Fri May 2 06:51: Subject: 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Orion is seeking a visionary and technically exceptional Lead AI Scientist- Small Molecule Discovery to join our Molecular Prospecting and Modeling Unit. This newly established role is ideal for a scientist driven to push the boundaries of modern predictive and generative AI methods and redefine how small molecule drug discovery is conducted. If you're passionate about innovating beyond the current state-of-the-art and building transformative solutions that shape the future of drug design, we want to hear from you.We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machine learning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with cutting-edge technology. We are pawing our way to the future by transforming how we discover and design small molecule therapeutics, integrating computational methods with domain expertise in medicinal chemistry, biology, and pharmacology. Join us at the forefront of this transformation and help accelerate the discovery and development of new therapies for patients around the world. About your roleAs Lead AI Scientist, you will act as a thought leader in machine learning and artificial intelligence, spearheading the development of novel methodologies to enable data-driven hit discovery, hit-to-lead progression, and lead optimization. You will work alongside a highly experienced computational team and have a pivotal role in empowering scientists across Orions R&D, including Medicinal Chemistry and DMPK-Tox experts.This role is not project-bound or service-orientedit is about initiating a fundamental evolution in computational drug discovery at Orion. You will have a strong mandate to explore new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design.Your key responsibilities- Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization.- Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics team.- Driving innovation in areas such as foundation models, active learning, and generative chemistry with attention to synthetic feasibility.- Staying at the forefront of scientific and technical advances in AI for drug discovery.- Collaborating with internal computational experts and selected external partners to extend Orions capabilities.- Contributing to scientific publications and participating in the broader scientific community where appropriate.This is a full-time position based in Cambridge, UK. In this position, you will report to the Head of Computational Design based in Espoo, Finland.What we offerAt Orion, your work directly contributes to improving the lives of patients worldwide. We provide:- A forward-looking, collaborative scientific environment with top-tier professionals.- A unique opportunity to drive a technological leap in AI-powered drug discovery.- Access to diverse chemical and biological data and modern compute environments.- Opportunities for scientific publishing and engagement in external collaborations.- Competitive salary, comprehensive health and welfare benefits, and support for international relocation.At Orion, your work creates true impact and well-being for our customers, patients and society at large. Our culture of friendliness, respect, mutual appreciation and diversity creates a safe working environment where you can strive for excellence. We offer a wealth of career paths and development opportunities that support the development of innovative solutions and improving the quality of life.Please visit our website to find further information about our values and Orion as an employer expectationsTo succeed in this role, we expect you to have:- Ph.D. in machine learning, artificial intelligence, computational chemistry, cheminformatics, or a related field.- 5+ years of postdoctoral experience.- Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust, scalable AI-driven workflows and tools.- Passion for scientific discovery and the curiosity to explore new frontiers.- Excellent communication and collaboration skills in a multidisciplinary environment.- Fluent written and spoken English.- Experience with organic and medicinal chemistry is highly valued, but deep domain expertise is not required.How to apply and additional informationIf this opportunity excites you, we encourage you to apply! Please submit your cover letter and CV by May 25th, 2025, and let us know what drives your passion for AI in small molecule discovery. You can find the job among our open positions on our website at Unit descriptionOrions pharmaceutical innovations are created within its R&D organization.We employ around 400 top professionals in the field of drug discovery and development. We work globally: in Espoo and Turku in Finland, in Nottingham in England and in New York, NY, USA. Orion R&D and the Innovative Medicines business division are dedicated to making a transformation to become a global player in the pain and oncology therapy areas. Our Medicine Design Department plays a critical role in drug discovery, from target validation to clinical candidate nomination.The Molecular Prospecting and Modeling Unit defines hit-finding strategies for early-stage drug discovery and develops computational methods to support all stages of small molecule discovery. Our unit integrates cheminformatics, AI, molecular modeling, and structural biology to accelerate and guide data-driven drug design.About UsOrion is a globally operating Finnish pharmaceutical company a builder of well-being for over a hundred years.Orion provides meaningful work for more than 3 600 Orionees in Finland and abroad. Orion is known as a responsible and reliable employer where we value each other, strive for the best and build for tomorrow.We develop, manufacture and market human and veterinary pharmaceuticals and active pharmaceutical ingredients. Orion has an extensive portfolio of proprietary and generic medicines and consumer health products. The core therapy areas of our pharmaceutical R&D are oncology and pain. Proprietary products developed by Orion are used to treat cancer, neurological diseases and respiratory diseases, among others.Please submit your cover letter and CV by May 25th, 2025. You can find the job advertisement among our open positions on our website at find the direct link to the job advertisement below, through which you can submit your application and CV.+Kingdom&locationId=&locationLevel=country&mode=locationNOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED were changed to a to fight spam. Before you send e-mail, youneed to change a example: change joe a to Please let your prospective employer know that you learnedabout the job from the Computational Chemistry List Job Listing at .If you are not interested in this particular position yourself, pass it tosomeone who might be some day they may return the favor. Page accessed 96 times since Fri May 2 11:00: GMT
May 13, 2025
Full time
CCL 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Conferences upcoming conferences Jobs positions open Consultants COnsulting Companies -Resumes- resumes (positions wanted) From: jobs at ccl.net (do not send your application there ) To: jobs at ccl.net Date: Fri May 2 06:51: Subject: 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Orion is seeking a visionary and technically exceptional Lead AI Scientist- Small Molecule Discovery to join our Molecular Prospecting and Modeling Unit. This newly established role is ideal for a scientist driven to push the boundaries of modern predictive and generative AI methods and redefine how small molecule drug discovery is conducted. If you're passionate about innovating beyond the current state-of-the-art and building transformative solutions that shape the future of drug design, we want to hear from you.We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machine learning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with cutting-edge technology. We are pawing our way to the future by transforming how we discover and design small molecule therapeutics, integrating computational methods with domain expertise in medicinal chemistry, biology, and pharmacology. Join us at the forefront of this transformation and help accelerate the discovery and development of new therapies for patients around the world. About your roleAs Lead AI Scientist, you will act as a thought leader in machine learning and artificial intelligence, spearheading the development of novel methodologies to enable data-driven hit discovery, hit-to-lead progression, and lead optimization. You will work alongside a highly experienced computational team and have a pivotal role in empowering scientists across Orions R&D, including Medicinal Chemistry and DMPK-Tox experts.This role is not project-bound or service-orientedit is about initiating a fundamental evolution in computational drug discovery at Orion. You will have a strong mandate to explore new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design.Your key responsibilities- Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization.- Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics team.- Driving innovation in areas such as foundation models, active learning, and generative chemistry with attention to synthetic feasibility.- Staying at the forefront of scientific and technical advances in AI for drug discovery.- Collaborating with internal computational experts and selected external partners to extend Orions capabilities.- Contributing to scientific publications and participating in the broader scientific community where appropriate.This is a full-time position based in Cambridge, UK. In this position, you will report to the Head of Computational Design based in Espoo, Finland.What we offerAt Orion, your work directly contributes to improving the lives of patients worldwide. We provide:- A forward-looking, collaborative scientific environment with top-tier professionals.- A unique opportunity to drive a technological leap in AI-powered drug discovery.- Access to diverse chemical and biological data and modern compute environments.- Opportunities for scientific publishing and engagement in external collaborations.- Competitive salary, comprehensive health and welfare benefits, and support for international relocation.At Orion, your work creates true impact and well-being for our customers, patients and society at large. Our culture of friendliness, respect, mutual appreciation and diversity creates a safe working environment where you can strive for excellence. We offer a wealth of career paths and development opportunities that support the development of innovative solutions and improving the quality of life.Please visit our website to find further information about our values and Orion as an employer expectationsTo succeed in this role, we expect you to have:- Ph.D. in machine learning, artificial intelligence, computational chemistry, cheminformatics, or a related field.- 5+ years of postdoctoral experience.- Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust, scalable AI-driven workflows and tools.- Passion for scientific discovery and the curiosity to explore new frontiers.- Excellent communication and collaboration skills in a multidisciplinary environment.- Fluent written and spoken English.- Experience with organic and medicinal chemistry is highly valued, but deep domain expertise is not required.How to apply and additional informationIf this opportunity excites you, we encourage you to apply! Please submit your cover letter and CV by May 25th, 2025, and let us know what drives your passion for AI in small molecule discovery. You can find the job among our open positions on our website at Unit descriptionOrions pharmaceutical innovations are created within its R&D organization.We employ around 400 top professionals in the field of drug discovery and development. We work globally: in Espoo and Turku in Finland, in Nottingham in England and in New York, NY, USA. Orion R&D and the Innovative Medicines business division are dedicated to making a transformation to become a global player in the pain and oncology therapy areas. Our Medicine Design Department plays a critical role in drug discovery, from target validation to clinical candidate nomination.The Molecular Prospecting and Modeling Unit defines hit-finding strategies for early-stage drug discovery and develops computational methods to support all stages of small molecule discovery. Our unit integrates cheminformatics, AI, molecular modeling, and structural biology to accelerate and guide data-driven drug design.About UsOrion is a globally operating Finnish pharmaceutical company a builder of well-being for over a hundred years.Orion provides meaningful work for more than 3 600 Orionees in Finland and abroad. Orion is known as a responsible and reliable employer where we value each other, strive for the best and build for tomorrow.We develop, manufacture and market human and veterinary pharmaceuticals and active pharmaceutical ingredients. Orion has an extensive portfolio of proprietary and generic medicines and consumer health products. The core therapy areas of our pharmaceutical R&D are oncology and pain. Proprietary products developed by Orion are used to treat cancer, neurological diseases and respiratory diseases, among others.Please submit your cover letter and CV by May 25th, 2025. You can find the job advertisement among our open positions on our website at find the direct link to the job advertisement below, through which you can submit your application and CV.+Kingdom&locationId=&locationLevel=country&mode=locationNOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED were changed to a to fight spam. Before you send e-mail, youneed to change a example: change joe a to Please let your prospective employer know that you learnedabout the job from the Computational Chemistry List Job Listing at .If you are not interested in this particular position yourself, pass it tosomeone who might be some day they may return the favor. Page accessed 96 times since Fri May 2 11:00: GMT
About Us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is actually not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data - and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of multimodal and visual AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one of the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for a rockstar BDR to join us in building our team. The Role This is a unique opportunity for a driven, multi-talented person to join Encord as a business development representative and have a massive impact on a hyper growth business. The person will work closely alongside the growth team. The ideal candidate is intellectually curious, has great interpersonal skills, is dependable and willing to work hard, roll up their sleeves and ensure we hit our revenue growth targets. You will be in for a fun ride! Responsibilities Manage your own sales and meetings pipelines for both inbound and outbound sales activities. Discover new sales leads based on industry & account research (LinkedIn Sales Nav, Apollo, internet research, etc). Create strategic outreach campaigns (calls, emails, LinkedIn, social selling, etc). Qualify prospects/accounts through email, phone, LinkedIn, etc. Manage prospects, accounts, and opportunities in HubSpot. Support building our sales function from the ground up: work on sales materials, processes and sales approach. About You 0-3 years of sales experience or working in a start-up in a client facing role. Demonstrates ability to manage prospect conversations, handling unexpected questions with ease. Shows perseverance and can do attitude. Have a growth mindset and believe nothing is impossible. Ability to thrive in a fast-paced, team-oriented environment. Experience within B2B technology is a plus but not required. What We Offer Competitive salary, commission and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Annual learning and development budget. Paid trips to visit prospects, attend conferences, host events across UK, Europe and US. Company lunches twice a week. Monthly socials & bi-annual off-sites. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
May 13, 2025
Full time
About Us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is actually not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data - and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of multimodal and visual AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one of the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for a rockstar BDR to join us in building our team. The Role This is a unique opportunity for a driven, multi-talented person to join Encord as a business development representative and have a massive impact on a hyper growth business. The person will work closely alongside the growth team. The ideal candidate is intellectually curious, has great interpersonal skills, is dependable and willing to work hard, roll up their sleeves and ensure we hit our revenue growth targets. You will be in for a fun ride! Responsibilities Manage your own sales and meetings pipelines for both inbound and outbound sales activities. Discover new sales leads based on industry & account research (LinkedIn Sales Nav, Apollo, internet research, etc). Create strategic outreach campaigns (calls, emails, LinkedIn, social selling, etc). Qualify prospects/accounts through email, phone, LinkedIn, etc. Manage prospects, accounts, and opportunities in HubSpot. Support building our sales function from the ground up: work on sales materials, processes and sales approach. About You 0-3 years of sales experience or working in a start-up in a client facing role. Demonstrates ability to manage prospect conversations, handling unexpected questions with ease. Shows perseverance and can do attitude. Have a growth mindset and believe nothing is impossible. Ability to thrive in a fast-paced, team-oriented environment. Experience within B2B technology is a plus but not required. What We Offer Competitive salary, commission and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Annual learning and development budget. Paid trips to visit prospects, attend conferences, host events across UK, Europe and US. Company lunches twice a week. Monthly socials & bi-annual off-sites. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
We are a part of Amazon Alexa Devices organization with the mission "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As an Applied Scientist on the team, you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of building machine learning models for business application experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Solid software development experience - Good written and verbal communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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
We are a part of Amazon Alexa Devices organization with the mission "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As an Applied Scientist on the team, you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of building machine learning models for business application experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Solid software development experience - Good written and verbal communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.
A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to regular company conferences and events. For this reason, they're able to consider candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Experience delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to 60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave And much more! Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
May 13, 2025
Full time
A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to regular company conferences and events. For this reason, they're able to consider candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Experience delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to 60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave And much more! Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
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.
The role NatureMetrics is a global leader in biodiversity MRV and environmental DNA (eDNA) analysis, transforming the scale at which nature can be quantified. Our cutting-edge solutions enable organisations to monitor nature impact across sectors, from conservation to industry, and inform sustainability decisions with unprecedented accuracy. With a strong market leading position, NatureMetrics has established a robust client base and developed a proprietary software platform that makes biodiversity insights accessible, actionable, and scalable. As Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, and World Economic Forum Technology Pioneers 2024, we have the potential and the opportunity to change the way organizations operate. As we enter a new phase of rapid global growth, we are seeking a Research Scientist to play a key role in advancing biodiversity monitoring through cutting-edge eDNA data generation and analysis.The primary focus of this role will bethe development and scientific validation of products to monitor biodiversity, using environmental DNA (eDNA), metabarcoding, and related technologies. Key Responsibilities Generating, analysing, and interpretating experimental data to evaluate new technologies for biodiversity, with a particular focus on the repeatable and scalable collection of samples from terrestrial ecosystems for eDNA analysis, including from soil, air and invertebrate samples. Contributing to the design and execution of R&D projects , as identified by the management team in collaboration with our clients and collaborators. Performing statistical analysis and data visualisation to extract meaningful insights from eDNA datasets. Identifying patterns, trends, and relationships within large biodiversity datasets through careful exploration and analysis. Support and mentorship of R&D technicians Facilitating ongoing communication to ensure efficient planning and prioritisation of tasks, being proactive to identify blockers and strive to anticipate team needs Contributing to the preparation of grant applications and tenders where relevant Maintaining accurate records on internal sample tracking systems and electronic laboratory notebook systems to ensure traceability and compliance Provision of SOPs, manuals, training documents, white papers and other relevant documents across the wider business, ccommunicating findings clearly and concisely, using appropriate language and visualisations for technical and non-technical audiences Adhering to laboratory protocols and ensure compliance with company policies, health and safety standards (eg. COSHH, risk assessments, and occupational health and safety legal requirements) Attend regular update meetings with the wider Science team Update wider company and management on progress as required, tailoring updates to encourage open dialogue across multiple departments Contribute to scientific publications and outreach activities Why us? At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose. We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey! About you We are looking for a highly analytical and detail-oriented scientist with a strong background in data analysis, ecological statistics, and bioinformatics. BSc in Biological Sciences, Molecular Science, Ecology and Conservation, Soil Science, Zoology or a related field (MSc/PhD advantageous but not essential) Strong knowledge of eDNA-based biodiversity monitoring and ecological data analysis. Proficiency at coding in R for manipulation and exploration of data, and for performing ecological analysis for the development of new metrics Core laboratory skills inc. DNA extraction, PCR, metabarcoding, and DNA sequencing Able to generate and execute experimental plans, and pick up and apply new methods with minimal guidance Strong organisational and time management abilities, with the capacity to manage multiple projects. High level of attention to detail and data accuracy Ability to work effectively under pressure, remaining calm and focused Open to feedback and actively seeks to learn new data analysis methods What's in it for you Competitive Salary Impactful work with a purpose-driven team Flexible work arrangements Opportunities for professional growth Benefits package including salary sacrifice pension scheme prioritising sustainability; life assurance; Health insurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy.
May 13, 2025
Full time
The role NatureMetrics is a global leader in biodiversity MRV and environmental DNA (eDNA) analysis, transforming the scale at which nature can be quantified. Our cutting-edge solutions enable organisations to monitor nature impact across sectors, from conservation to industry, and inform sustainability decisions with unprecedented accuracy. With a strong market leading position, NatureMetrics has established a robust client base and developed a proprietary software platform that makes biodiversity insights accessible, actionable, and scalable. As Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, and World Economic Forum Technology Pioneers 2024, we have the potential and the opportunity to change the way organizations operate. As we enter a new phase of rapid global growth, we are seeking a Research Scientist to play a key role in advancing biodiversity monitoring through cutting-edge eDNA data generation and analysis.The primary focus of this role will bethe development and scientific validation of products to monitor biodiversity, using environmental DNA (eDNA), metabarcoding, and related technologies. Key Responsibilities Generating, analysing, and interpretating experimental data to evaluate new technologies for biodiversity, with a particular focus on the repeatable and scalable collection of samples from terrestrial ecosystems for eDNA analysis, including from soil, air and invertebrate samples. Contributing to the design and execution of R&D projects , as identified by the management team in collaboration with our clients and collaborators. Performing statistical analysis and data visualisation to extract meaningful insights from eDNA datasets. Identifying patterns, trends, and relationships within large biodiversity datasets through careful exploration and analysis. Support and mentorship of R&D technicians Facilitating ongoing communication to ensure efficient planning and prioritisation of tasks, being proactive to identify blockers and strive to anticipate team needs Contributing to the preparation of grant applications and tenders where relevant Maintaining accurate records on internal sample tracking systems and electronic laboratory notebook systems to ensure traceability and compliance Provision of SOPs, manuals, training documents, white papers and other relevant documents across the wider business, ccommunicating findings clearly and concisely, using appropriate language and visualisations for technical and non-technical audiences Adhering to laboratory protocols and ensure compliance with company policies, health and safety standards (eg. COSHH, risk assessments, and occupational health and safety legal requirements) Attend regular update meetings with the wider Science team Update wider company and management on progress as required, tailoring updates to encourage open dialogue across multiple departments Contribute to scientific publications and outreach activities Why us? At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose. We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey! About you We are looking for a highly analytical and detail-oriented scientist with a strong background in data analysis, ecological statistics, and bioinformatics. BSc in Biological Sciences, Molecular Science, Ecology and Conservation, Soil Science, Zoology or a related field (MSc/PhD advantageous but not essential) Strong knowledge of eDNA-based biodiversity monitoring and ecological data analysis. Proficiency at coding in R for manipulation and exploration of data, and for performing ecological analysis for the development of new metrics Core laboratory skills inc. DNA extraction, PCR, metabarcoding, and DNA sequencing Able to generate and execute experimental plans, and pick up and apply new methods with minimal guidance Strong organisational and time management abilities, with the capacity to manage multiple projects. High level of attention to detail and data accuracy Ability to work effectively under pressure, remaining calm and focused Open to feedback and actively seeks to learn new data analysis methods What's in it for you Competitive Salary Impactful work with a purpose-driven team Flexible work arrangements Opportunities for professional growth Benefits package including salary sacrifice pension scheme prioritising sustainability; life assurance; Health insurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy.
Materials and Analytical Scientist Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £29,490 - £31,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for Materials and Analytical Scientists within Conventional Materials Science Group supporting their Organic Materials Development Team. The team focuses on the development and testing of polymeric materials for adhesives, potting's, resins, encapsulants, and inks for Direct-Ink-Write Additive Manufacturing. This role is ideally suited to a Polymer Chemist or Materials Scientist who enjoys hands-on chemistry experiments and has an interest in the design of experiments and analysis of results. Working within the Conventional Materials Science Group the successful candidate will be required to work with stakeholders and customers across the business to develop and test materials that meet their requirements. Furthermore, this role will allow you to work with many of our external partners across the UK and US, and occasionally, you will be required to travel to these sites to meet our stakeholders. Although the role is predominantly lab based and on site, where possible, you will also be allowed to work from home to carry out training, data analysis, and writing up of reports and presentations. Who are we looking for? We would be interested in hearing from candidates who can demonstrate knowledge or experience in some of the following: Degree (or equivalent) chemistry, materials science, natural science or similar Knowledge of general organic and polymer materials science, or organic chemistry Working knowledge of UK REACH Basic laboratory experience Knowledge of techniques such as rheology, thermal analysis and mechanical testing, etc Knowledge of safety paperwork including COSHH, risk and manual handling assessments Good standard of report writing Successful candidates will typically be responsible for the following: Prepare, analyse, characterise and assess samples using agreed procedures and processes Produce documentation to communicate projects Develop knowledge in a particular scientific or product field and share best practice. Assistance with COSHH Assessor; Risk Assessor; Manual Handling Assessor Lead technical programmes (dependent on prior experience) You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Please note that the interviews will take place during the week commencing 2nd of June 2025. If you are unavailable on these dates, please inform us, and we will do our best to accommodate alternative arrangements where feasible. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston.
May 13, 2025
Full time
Materials and Analytical Scientist Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £29,490 - £31,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for Materials and Analytical Scientists within Conventional Materials Science Group supporting their Organic Materials Development Team. The team focuses on the development and testing of polymeric materials for adhesives, potting's, resins, encapsulants, and inks for Direct-Ink-Write Additive Manufacturing. This role is ideally suited to a Polymer Chemist or Materials Scientist who enjoys hands-on chemistry experiments and has an interest in the design of experiments and analysis of results. Working within the Conventional Materials Science Group the successful candidate will be required to work with stakeholders and customers across the business to develop and test materials that meet their requirements. Furthermore, this role will allow you to work with many of our external partners across the UK and US, and occasionally, you will be required to travel to these sites to meet our stakeholders. Although the role is predominantly lab based and on site, where possible, you will also be allowed to work from home to carry out training, data analysis, and writing up of reports and presentations. Who are we looking for? We would be interested in hearing from candidates who can demonstrate knowledge or experience in some of the following: Degree (or equivalent) chemistry, materials science, natural science or similar Knowledge of general organic and polymer materials science, or organic chemistry Working knowledge of UK REACH Basic laboratory experience Knowledge of techniques such as rheology, thermal analysis and mechanical testing, etc Knowledge of safety paperwork including COSHH, risk and manual handling assessments Good standard of report writing Successful candidates will typically be responsible for the following: Prepare, analyse, characterise and assess samples using agreed procedures and processes Produce documentation to communicate projects Develop knowledge in a particular scientific or product field and share best practice. Assistance with COSHH Assessor; Risk Assessor; Manual Handling Assessor Lead technical programmes (dependent on prior experience) You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Please note that the interviews will take place during the week commencing 2nd of June 2025. If you are unavailable on these dates, please inform us, and we will do our best to accommodate alternative arrangements where feasible. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston.
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.
Position: Senior/Lead Data Scientist - Generative AI Type: Contract (6 months) Full-Time (40 hours/week) Location: Remote/Hybrid About the Role: We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, Deep Learning, and Machine Learning to join an innovation-focused AI Center of Excellence. In this role, you'll help design, develop, and implement cutting-edge AI solutions that drive transformation across the organization. Key Responsibilities: Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like PyTorch or TensorFlow. Support AI governance and ensure responsible, scalable implementation. Mentor junior team members and promote a culture of innovation and knowledge sharing. Ideal Candidate Will Have: Advanced degree (PhD/Master's) in Computer Science, Data Science, or a related field. 7+ years of experience in data science with a focus on Generative AI and NLP. Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow). Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, Azure). Strong problem-solving ability and excellent communication skills. Preferred Qualifications: Experience in regulated industries (e.g., finance, credit). Understanding of AI governance and ethical AI principles. Passion for applying AI to solve real-world business problems. Ready to shape the future of AI in the enterprise? Apply now to join a forward-thinking team at the forefront of innovation. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 12, 2025
Contractor
Position: Senior/Lead Data Scientist - Generative AI Type: Contract (6 months) Full-Time (40 hours/week) Location: Remote/Hybrid About the Role: We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, Deep Learning, and Machine Learning to join an innovation-focused AI Center of Excellence. In this role, you'll help design, develop, and implement cutting-edge AI solutions that drive transformation across the organization. Key Responsibilities: Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like PyTorch or TensorFlow. Support AI governance and ensure responsible, scalable implementation. Mentor junior team members and promote a culture of innovation and knowledge sharing. Ideal Candidate Will Have: Advanced degree (PhD/Master's) in Computer Science, Data Science, or a related field. 7+ years of experience in data science with a focus on Generative AI and NLP. Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow). Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, Azure). Strong problem-solving ability and excellent communication skills. Preferred Qualifications: Experience in regulated industries (e.g., finance, credit). Understanding of AI governance and ethical AI principles. Passion for applying AI to solve real-world business problems. Ready to shape the future of AI in the enterprise? Apply now to join a forward-thinking team at the forefront of innovation. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
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.
Materials and Analytical Scientist Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £29,490 - £31,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for Materials and Analytical Scientists within Conventional Materials Science Group supporting their Organic Materials Development Team. The team focuses on the development and testing of polymeric materials for adhesives, potting's, resins, encapsulants, and inks for Direct-Ink-Write Additive Manufacturing. This role is ideally suited to a Polymer Chemist or Materials Scientist who enjoys hands-on chemistry experiments and has an interest in the design of experiments and analysis of results. Working within the Conventional Materials Science Group the successful candidate will be required to work with stakeholders and customers across the business to develop and test materials that meet their requirements. Furthermore, this role will allow you to work with many of our external partners across the UK and US, and occasionally, you will be required to travel to these sites to meet our stakeholders. Although the role is predominantly lab based and on site, where possible, you will also be allowed to work from home to carry out training, data analysis, and writing up of reports and presentations. Who are we looking for? We would be interested in hearing from candidates who can demonstrate knowledge or experience in some of the following: Degree (or equivalent) chemistry, materials science, natural science or similar Knowledge of general organic and polymer materials science, or organic chemistry Working knowledge of UK REACH Basic laboratory experience Knowledge of techniques such as rheology, thermal analysis and mechanical testing, etc Knowledge of safety paperwork including COSHH, risk and manual handling assessments Good standard of report writing Successful candidates will typically be responsible for the following: Prepare, analyse, characterise and assess samples using agreed procedures and processes Produce documentation to communicate projects Develop knowledge in a particular scientific or product field and share best practice. Assistance with COSHH Assessor; Risk Assessor; Manual Handling Assessor Lead technical programmes (dependent on prior experience) You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Please note that the interviews will take place during the week commencing 2nd of June 2025. If you are unavailable on these dates, please inform us, and we will do our best to accommodate alternative arrangements where feasible. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston.
May 12, 2025
Full time
Materials and Analytical Scientist Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £29,490 - £31,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for Materials and Analytical Scientists within Conventional Materials Science Group supporting their Organic Materials Development Team. The team focuses on the development and testing of polymeric materials for adhesives, potting's, resins, encapsulants, and inks for Direct-Ink-Write Additive Manufacturing. This role is ideally suited to a Polymer Chemist or Materials Scientist who enjoys hands-on chemistry experiments and has an interest in the design of experiments and analysis of results. Working within the Conventional Materials Science Group the successful candidate will be required to work with stakeholders and customers across the business to develop and test materials that meet their requirements. Furthermore, this role will allow you to work with many of our external partners across the UK and US, and occasionally, you will be required to travel to these sites to meet our stakeholders. Although the role is predominantly lab based and on site, where possible, you will also be allowed to work from home to carry out training, data analysis, and writing up of reports and presentations. Who are we looking for? We would be interested in hearing from candidates who can demonstrate knowledge or experience in some of the following: Degree (or equivalent) chemistry, materials science, natural science or similar Knowledge of general organic and polymer materials science, or organic chemistry Working knowledge of UK REACH Basic laboratory experience Knowledge of techniques such as rheology, thermal analysis and mechanical testing, etc Knowledge of safety paperwork including COSHH, risk and manual handling assessments Good standard of report writing Successful candidates will typically be responsible for the following: Prepare, analyse, characterise and assess samples using agreed procedures and processes Produce documentation to communicate projects Develop knowledge in a particular scientific or product field and share best practice. Assistance with COSHH Assessor; Risk Assessor; Manual Handling Assessor Lead technical programmes (dependent on prior experience) You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Please note that the interviews will take place during the week commencing 2nd of June 2025. If you are unavailable on these dates, please inform us, and we will do our best to accommodate alternative arrangements where feasible. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston.
JobTitle: Principal Naval Architect(Weights) Location: Barrow-In-Furness, Brough, Filton, Frimley, Manchester,Portsmouth, Weymouth We offer a range of hybrid andflexible working arrangements - please speak to your recruiterabout the options for this particular role. Salary: Competitive What you'll be doing: Lead the collation strategy for mass properties data todeliver weight and centroid control on multi billion poundsubmarine programmes Responsible for aggregating weight and centroid reports,presenting the status to Chief Naval Architect and generatingmitigation plans Define and manage the mass budgets for submarineprogrammes and its breakdown to systemlevel Support submarine seatrials Create and maintain acomprehensive database of parts massproperties Promote a culture of weightcontrol and work with system engineering to integrate weight as afundamental designconstraint Conduct Research andDevelopment activities, promoting BAE Systems interests at UK andInternational Conferences Perform conceptual parametricestimations for mass distributions and moments of inertia whilstdriving the development of methods and tools for mass propertiesestimation Provide Subject Matter Expert(SME) reviews of weight control methodologies for non-submarineprogrammes within the BAE Systemsgroup Your skills andexperiences: Essential Degree qualified in an Engineering or Mathematicssubject or equivalentexperience Ability to work independentlyand provide technical leadership as part of theteam Experience of weight management Desirable Chartered Engineer or ability to achieve Charteredstatus within a 12-month timeframe Experience of weight control on largeprogrammes Experience working with large, complex Electrical orMechanicalsystems Experience using VBA or Pythonto automate data manipulationtasks Experience of using CADpackages andprogrammes Benefits: You'll receive benefitsincluding a competitive pension scheme, enhanced annual leaveallowance and a Company contributed Share Incentive Plan. You'llalso have access to additional benefits such as flexible working,an employee assistance programme, Cycle2work and employee discounts- you may also be eligible for an annualincentive. The Weight Engineeringteam: The Weight Engineering Team area multi-disciplinary Team of Engineers and Data Scientists whoestimate, collate and present mass properties data for a number ofmulti billion pound submarine programmes. The Weight Engineeringteam are a specialist team who play a critical role in the wholeboat design and assuring whole boat safety. We offer relocationsupport packages across all Submarines roles, subject to meetingeligibility criteria. Why BAE Systems? This is a place where you'll be able to make a realdifference. You'll be part of an inclusive culture that valuesdiversity, rewards integrity, and merit, and where you'll beempowered to fulfil your potential. We welcome candidates from allbackgrounds and particularly from sections of the community who arecurrently underrepresented within our industry, including women,ethnic minorities, people with disabilities and LGBTQ+ individuals.We also want to make sure that our recruitment processes are asinclusive as possible. If you have a disability or health condition(for example dyslexia, autism, an anxiety disorder etc.) that mayaffect your performance in certain assessment types, please speakto your recruiter about potential reasonableadjustments. Please be aware that many roles at BAE Systems aresubject to both security and export control restrictions. Theserestrictions mean that factors such as your nationality, anynationalities you may have previously held, and your place of birthcan restrict the roles you are eligible to perform within theorganisation. All applicants must as a minimum achieve BaselinePersonnel Security Standard. Many roles also require higher levelsof National Security Vetting where applicants must typically have 5to 10 years of continuous residency in the UK depending on thevetting level required for the role, to allow for meaningfulsecurity vettingchecks. ClosingDate: 12th May2025 We reserve the right to close this vacancy early if wereceive sufficient applications for the role. Therefore, if you areinterested, please submit your application as early as possible.
May 12, 2025
Full time
JobTitle: Principal Naval Architect(Weights) Location: Barrow-In-Furness, Brough, Filton, Frimley, Manchester,Portsmouth, Weymouth We offer a range of hybrid andflexible working arrangements - please speak to your recruiterabout the options for this particular role. Salary: Competitive What you'll be doing: Lead the collation strategy for mass properties data todeliver weight and centroid control on multi billion poundsubmarine programmes Responsible for aggregating weight and centroid reports,presenting the status to Chief Naval Architect and generatingmitigation plans Define and manage the mass budgets for submarineprogrammes and its breakdown to systemlevel Support submarine seatrials Create and maintain acomprehensive database of parts massproperties Promote a culture of weightcontrol and work with system engineering to integrate weight as afundamental designconstraint Conduct Research andDevelopment activities, promoting BAE Systems interests at UK andInternational Conferences Perform conceptual parametricestimations for mass distributions and moments of inertia whilstdriving the development of methods and tools for mass propertiesestimation Provide Subject Matter Expert(SME) reviews of weight control methodologies for non-submarineprogrammes within the BAE Systemsgroup Your skills andexperiences: Essential Degree qualified in an Engineering or Mathematicssubject or equivalentexperience Ability to work independentlyand provide technical leadership as part of theteam Experience of weight management Desirable Chartered Engineer or ability to achieve Charteredstatus within a 12-month timeframe Experience of weight control on largeprogrammes Experience working with large, complex Electrical orMechanicalsystems Experience using VBA or Pythonto automate data manipulationtasks Experience of using CADpackages andprogrammes Benefits: You'll receive benefitsincluding a competitive pension scheme, enhanced annual leaveallowance and a Company contributed Share Incentive Plan. You'llalso have access to additional benefits such as flexible working,an employee assistance programme, Cycle2work and employee discounts- you may also be eligible for an annualincentive. The Weight Engineeringteam: The Weight Engineering Team area multi-disciplinary Team of Engineers and Data Scientists whoestimate, collate and present mass properties data for a number ofmulti billion pound submarine programmes. The Weight Engineeringteam are a specialist team who play a critical role in the wholeboat design and assuring whole boat safety. We offer relocationsupport packages across all Submarines roles, subject to meetingeligibility criteria. Why BAE Systems? This is a place where you'll be able to make a realdifference. You'll be part of an inclusive culture that valuesdiversity, rewards integrity, and merit, and where you'll beempowered to fulfil your potential. We welcome candidates from allbackgrounds and particularly from sections of the community who arecurrently underrepresented within our industry, including women,ethnic minorities, people with disabilities and LGBTQ+ individuals.We also want to make sure that our recruitment processes are asinclusive as possible. If you have a disability or health condition(for example dyslexia, autism, an anxiety disorder etc.) that mayaffect your performance in certain assessment types, please speakto your recruiter about potential reasonableadjustments. Please be aware that many roles at BAE Systems aresubject to both security and export control restrictions. Theserestrictions mean that factors such as your nationality, anynationalities you may have previously held, and your place of birthcan restrict the roles you are eligible to perform within theorganisation. All applicants must as a minimum achieve BaselinePersonnel Security Standard. Many roles also require higher levelsof National Security Vetting where applicants must typically have 5to 10 years of continuous residency in the UK depending on thevetting level required for the role, to allow for meaningfulsecurity vettingchecks. ClosingDate: 12th May2025 We reserve the right to close this vacancy early if wereceive sufficient applications for the role. Therefore, if you areinterested, please submit your application as early as possible.
Theoretical Scientist Closing Date: 4th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Package: Junior Physicists (recent graduates): £28,420 - £37,000 (depending on your suitability, qualifications, and level of experience) Experienced Physicists (PHD or graduates with post-graduate experience): £36,640 - £47,500 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE has an exciting Theoretical Scientist role to support our deterrence programmes as we expand our mission space. This role will develop the right candidate with their scientific career, offering exciting opportunities to develop our radiation detection and uncertainty quantification capabilities. The Radiation Science Group is tasked with supporting the hardness and vulnerability aspects of our deterrence mission space, identifying, assessing, and understanding threats to the deterrent and looking to the future and the next generation of systems. The group uses a model-based engineering approach to support core missions, with the models being underpinned by science lead activities, i.e., developing and validating new models and codes, verifying them through experiments and assessing the certainty associated with the methods. The role therefore encompasses skills from experimental, theoretical and computation branches of physics and is a great opportunity for the right candidate with a passion for physics. This role would support the whole group by independently assessing the experimental and modelling activities undertaken and seeking to increase our confidence in our overarching assessments. The expectation is the right candidate would be trained and grow into this role, developing knowledge in statistical analysis and coding/modelling languages (e.g. Python, C, C++, Matlab, MCNP, Geant4). Broad understanding of various physics concepts including material properties, radiation field analysis, electronic systems, electromagnetic phenomena and a strong mathematics or statistics background preferred but not essential. Key Responsibilities Owning the development of the areas and expanding the capabilities in accordance with programme needs. Using appropriate software and data capture tools to record data and suitable analyses. Providing suggestions for improvements for team workflows with a view to being able to expand this to all workflows within the group. Optimising experimental and trial designs and supporting (potentially leading) the delivery teams. Working safely, securely, and cleanly to the appropriate quality standards. Analysing scientific data to assess confidence and uncertainties in the data and the methods used to obtain the data. Who are we looking for? Whilst not to be considered a check list, candidates should be able to demonstrate some of the following: Essential - Degree level knowledge in Physics, Mathematics or statistics Desirable - post-graduate qualifications connected with working on radiation detection and/or statistical methods. Strong communication skills, verbal and written, excellent team working ability, proactive, and highly organised. Willing to travel and work at other UK and overseas sites as required. You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
May 12, 2025
Full time
Theoretical Scientist Closing Date: 4th June 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. Package: Junior Physicists (recent graduates): £28,420 - £37,000 (depending on your suitability, qualifications, and level of experience) Experienced Physicists (PHD or graduates with post-graduate experience): £36,640 - £47,500 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE has an exciting Theoretical Scientist role to support our deterrence programmes as we expand our mission space. This role will develop the right candidate with their scientific career, offering exciting opportunities to develop our radiation detection and uncertainty quantification capabilities. The Radiation Science Group is tasked with supporting the hardness and vulnerability aspects of our deterrence mission space, identifying, assessing, and understanding threats to the deterrent and looking to the future and the next generation of systems. The group uses a model-based engineering approach to support core missions, with the models being underpinned by science lead activities, i.e., developing and validating new models and codes, verifying them through experiments and assessing the certainty associated with the methods. The role therefore encompasses skills from experimental, theoretical and computation branches of physics and is a great opportunity for the right candidate with a passion for physics. This role would support the whole group by independently assessing the experimental and modelling activities undertaken and seeking to increase our confidence in our overarching assessments. The expectation is the right candidate would be trained and grow into this role, developing knowledge in statistical analysis and coding/modelling languages (e.g. Python, C, C++, Matlab, MCNP, Geant4). Broad understanding of various physics concepts including material properties, radiation field analysis, electronic systems, electromagnetic phenomena and a strong mathematics or statistics background preferred but not essential. Key Responsibilities Owning the development of the areas and expanding the capabilities in accordance with programme needs. Using appropriate software and data capture tools to record data and suitable analyses. Providing suggestions for improvements for team workflows with a view to being able to expand this to all workflows within the group. Optimising experimental and trial designs and supporting (potentially leading) the delivery teams. Working safely, securely, and cleanly to the appropriate quality standards. Analysing scientific data to assess confidence and uncertainties in the data and the methods used to obtain the data. Who are we looking for? Whilst not to be considered a check list, candidates should be able to demonstrate some of the following: Essential - Degree level knowledge in Physics, Mathematics or statistics Desirable - post-graduate qualifications connected with working on radiation detection and/or statistical methods. Strong communication skills, verbal and written, excellent team working ability, proactive, and highly organised. Willing to travel and work at other UK and overseas sites as required. You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Role Overview: The Data Scientist - GenAI Focus drives the development and implementation of Generative AI initiatives identified through the AI Incubator process. This role involves fine-tuning, deploying, and scaling GenAI models for commercial applications, such as knowledge base creation, recommendation systems, and retrieval-augmented generation (RAG). Key Responsibilities: Develop and deploy GenAI models tailored for commercial applications. Implement RAG techniques and other generative AI strategies to enhance business processes. Ensure production-grade deployment using MLOps and LLMOps best practices. Collaborate with cross-functional teams to align AI initiatives with business goals. Stay updated on advancements in Generative AI and large language model frameworks. Qualifications: Master's degree in Artificial Intelligence, Computer Science, or a related field; a PhD is preferred. Expertise in Generative AI and large language models (e.g., Hugging Face, OpenAI APIs). Experience with MLOps and LLMOps for scalable model deployment. Proficiency in Python and cloud-based data platforms (e.g., Databricks, Azure). Excellent communication skills for engaging with technical and non-technical stakeholders. Application If this role is of interest to you please upload a recent copy of your CV and a member of the Talent Acquisition team will be in touch. We believe that equal opportunities means inclusion, diversity and fair treatment for all. As we have expanded recently into alcohol ready to drink Jack Daniel's and Coca-Cola we recognise that some people prefer not to participate in alcohol related sales, interactions, or promotions. If that's true for you - please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio. We aim to make our recruitment process as comfortable and accessible as possible and would appreciate it if you would advise us of any particular requirements, adjustments or requests you may have to help us ensure that your experience is enjoyable. Job Information: Hiring Manager: Muhammad Shakir Hussain Recruiter: Robin Meyer Grade: G3 Location: Pan EU : Spain:Cataluna : Barcelona Pan EU : Spain:Madrid : Madrid Pan EU : United Kingdom:CCEP Site Locations : Uxbridge We are Coca-Cola Europacific Partners (CCEP) - a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world's most loved drinks. We are a global business and one of the leading consumer goods companies in the world.
May 12, 2025
Full time
Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Role Overview: The Data Scientist - GenAI Focus drives the development and implementation of Generative AI initiatives identified through the AI Incubator process. This role involves fine-tuning, deploying, and scaling GenAI models for commercial applications, such as knowledge base creation, recommendation systems, and retrieval-augmented generation (RAG). Key Responsibilities: Develop and deploy GenAI models tailored for commercial applications. Implement RAG techniques and other generative AI strategies to enhance business processes. Ensure production-grade deployment using MLOps and LLMOps best practices. Collaborate with cross-functional teams to align AI initiatives with business goals. Stay updated on advancements in Generative AI and large language model frameworks. Qualifications: Master's degree in Artificial Intelligence, Computer Science, or a related field; a PhD is preferred. Expertise in Generative AI and large language models (e.g., Hugging Face, OpenAI APIs). Experience with MLOps and LLMOps for scalable model deployment. Proficiency in Python and cloud-based data platforms (e.g., Databricks, Azure). Excellent communication skills for engaging with technical and non-technical stakeholders. Application If this role is of interest to you please upload a recent copy of your CV and a member of the Talent Acquisition team will be in touch. We believe that equal opportunities means inclusion, diversity and fair treatment for all. As we have expanded recently into alcohol ready to drink Jack Daniel's and Coca-Cola we recognise that some people prefer not to participate in alcohol related sales, interactions, or promotions. If that's true for you - please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio. We aim to make our recruitment process as comfortable and accessible as possible and would appreciate it if you would advise us of any particular requirements, adjustments or requests you may have to help us ensure that your experience is enjoyable. Job Information: Hiring Manager: Muhammad Shakir Hussain Recruiter: Robin Meyer Grade: G3 Location: Pan EU : Spain:Cataluna : Barcelona Pan EU : Spain:Madrid : Madrid Pan EU : United Kingdom:CCEP Site Locations : Uxbridge We are Coca-Cola Europacific Partners (CCEP) - a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world's most loved drinks. We are a global business and one of the leading consumer goods companies in the world.
Make your mark for patients We are looking for a Senior Scientist - Antibody Production who is highly motivated, curious and meticulous to join us in our Antibody Production team, based in our office in Slough, Berkshire, UK. About the role You will form part of a multi-disciplinary team generating antibody and antibody related proteins to support new drug candidate discovery and development. As a laboratory-based research scientist, you will be responsible for key aspects in the production, characterisation, logistics management and long-term storage of high-quality antibodies. You will therefore contribute to the progression of molecules from the earliest stages of drug discovery all the way to drug candidate. Who you'll work with You will work in the Antibody and Novel Therapeutics department alongside some of the world's very best antibody communities and antibody experts within a diverse, engaged and scientifically vibrant team all working towards the same goal. What you'll do Purify, analyse and share/store high-purity antibodies destined for use in pre-clinical projects and in supporting studies for later stage/clinical antibody projects. Liaise with project leads and antibody engineers to understand, capture and prioritise antibody reagent requests. Be the owner of and curate a purified antibody reagent database and liaise with colleagues requiring samples and information across Research and Early Clinical Development. Generate, analyse, interrogate, and document data using electronic lab notebooks and sample management/registration systems. Communicate data through project presentations and written reports, including more formal documentation when related to clinical phase projects or external collaborators and service providers. Innovate or identify and implement new and relevant technologies for capacity or technology expansion. Interested? For this role we're looking for the following education, experience and skills A BSc graduate with a demonstrable knowledge of and experience with proteins and antibodies (MSc/PhD or industrial experience in a relevant biological discipline may be advantageous). Experienced in purification techniques and use of purification platforms (e.g. Affinity chromatography, IEX, HIC, SEC, AKTA). Detailed, broad knowledge and experience of antibody purification methods: chromatography, resins, buffer condition and the impact of production scale. Practical experience with analytical assays for characterisation, purity and biophysical understanding of proteins/antibodies. Are you ready to 'go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don't just complete tasks, we create value. We aren't afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equitable opportunities to do their best work. We 'go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow and have the freedom to carve your own career path to achieve your full potential. UCB and its subsidiaries encourage diversity and inclusion in the workplace; we are an Equal Opportunity Employer. We do not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on . Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
May 12, 2025
Full time
Make your mark for patients We are looking for a Senior Scientist - Antibody Production who is highly motivated, curious and meticulous to join us in our Antibody Production team, based in our office in Slough, Berkshire, UK. About the role You will form part of a multi-disciplinary team generating antibody and antibody related proteins to support new drug candidate discovery and development. As a laboratory-based research scientist, you will be responsible for key aspects in the production, characterisation, logistics management and long-term storage of high-quality antibodies. You will therefore contribute to the progression of molecules from the earliest stages of drug discovery all the way to drug candidate. Who you'll work with You will work in the Antibody and Novel Therapeutics department alongside some of the world's very best antibody communities and antibody experts within a diverse, engaged and scientifically vibrant team all working towards the same goal. What you'll do Purify, analyse and share/store high-purity antibodies destined for use in pre-clinical projects and in supporting studies for later stage/clinical antibody projects. Liaise with project leads and antibody engineers to understand, capture and prioritise antibody reagent requests. Be the owner of and curate a purified antibody reagent database and liaise with colleagues requiring samples and information across Research and Early Clinical Development. Generate, analyse, interrogate, and document data using electronic lab notebooks and sample management/registration systems. Communicate data through project presentations and written reports, including more formal documentation when related to clinical phase projects or external collaborators and service providers. Innovate or identify and implement new and relevant technologies for capacity or technology expansion. Interested? For this role we're looking for the following education, experience and skills A BSc graduate with a demonstrable knowledge of and experience with proteins and antibodies (MSc/PhD or industrial experience in a relevant biological discipline may be advantageous). Experienced in purification techniques and use of purification platforms (e.g. Affinity chromatography, IEX, HIC, SEC, AKTA). Detailed, broad knowledge and experience of antibody purification methods: chromatography, resins, buffer condition and the impact of production scale. Practical experience with analytical assays for characterisation, purity and biophysical understanding of proteins/antibodies. Are you ready to 'go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don't just complete tasks, we create value. We aren't afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equitable opportunities to do their best work. We 'go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow and have the freedom to carve your own career path to achieve your full potential. UCB and its subsidiaries encourage diversity and inclusion in the workplace; we are an Equal Opportunity Employer. We do not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on . Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
You will need to login before you can apply for a job. Product Manager, Forecasting & Supply Chain Technologies, Amazon Fresh View more categories View less categories Sector Project and Program Management, Supply Chain and Procurement, Technology Role Manager Contract Type Permanent Hours Full Time DESCRIPTION Amazon is seeking a talented Product Manager to shape the future of inventory management, availability, and shrink reduction for Amazon Fresh & Grocery Partnerships across EU and APAC. Amazon Fresh is our premium grocery delivery service, offering customers same-day delivery of fresh produce, meat, dairy, and essentials. As part of the Product Strategy and Tools (PST) team, you will develop and execute strategies for critical inventory health metrics that impact customer experience and profitability. You will own key metrics to ensure product availability while minimizing waste and loss. Collaborating closely with tech, data, and business teams, you will manage the roadmap and delivery of key products and technologies across regions. This role combines strategic planning with hands-on execution-you'll need to understand grocery operations nuances and translate complex technical solutions into practical business value. You will interact with senior leaders to identify, prioritize, deliver, and scale features to meet business goals, considering local nuances across countries and businesses. Key job responsibilities Own the product roadmap and delivery for inventory management tools and systems, including forecasting, buying, and health optimization. Drive improvements in metrics such as stock availability, shrink reduction, and product availability. Lead cross-functional teams to launch new inventory management capabilities. Build and maintain relationships with senior stakeholders across Business, Operations, and Tech. Partner with teams to develop and improve key systems, models, and tools. Drive adoption of new tools and processes across multiple geographies and business units. About the team The PST (Product Strategy & Tools) team unlocks value and enables decision-making at the intersection of Business, Technology, and Operations for Amazon Fresh & Grocery Partnerships. It comprises over 50 product and program managers, business intelligence engineers, and data scientists, along with 40+ associates in India, Romania, and Shanghai as part of our offshoring program. PST tackles the biggest cross-country challenges, drives efficient initiatives, and standardizes workflows to improve business performance, increase productivity, and enhance customer satisfaction. BASIC QUALIFICATIONS Bachelor's degree or equivalent Experience in stock management, product management, program management, or technology Experience working with cross-functional teams and senior stakeholders Ability to influence leaders through data-driven insights PREFERRED QUALIFICATIONS Experience owning and defining roadmap strategies Experience delivering end-to-end products Amazon is an equal opportunities employer. We value diversity and make recruiting decisions based on experience and skills. We prioritize privacy and data security; please see our Privacy Notice for details. If you need workplace accommodations during the application process, visit our accommodations page for more information.
May 12, 2025
Full time
You will need to login before you can apply for a job. Product Manager, Forecasting & Supply Chain Technologies, Amazon Fresh View more categories View less categories Sector Project and Program Management, Supply Chain and Procurement, Technology Role Manager Contract Type Permanent Hours Full Time DESCRIPTION Amazon is seeking a talented Product Manager to shape the future of inventory management, availability, and shrink reduction for Amazon Fresh & Grocery Partnerships across EU and APAC. Amazon Fresh is our premium grocery delivery service, offering customers same-day delivery of fresh produce, meat, dairy, and essentials. As part of the Product Strategy and Tools (PST) team, you will develop and execute strategies for critical inventory health metrics that impact customer experience and profitability. You will own key metrics to ensure product availability while minimizing waste and loss. Collaborating closely with tech, data, and business teams, you will manage the roadmap and delivery of key products and technologies across regions. This role combines strategic planning with hands-on execution-you'll need to understand grocery operations nuances and translate complex technical solutions into practical business value. You will interact with senior leaders to identify, prioritize, deliver, and scale features to meet business goals, considering local nuances across countries and businesses. Key job responsibilities Own the product roadmap and delivery for inventory management tools and systems, including forecasting, buying, and health optimization. Drive improvements in metrics such as stock availability, shrink reduction, and product availability. Lead cross-functional teams to launch new inventory management capabilities. Build and maintain relationships with senior stakeholders across Business, Operations, and Tech. Partner with teams to develop and improve key systems, models, and tools. Drive adoption of new tools and processes across multiple geographies and business units. About the team The PST (Product Strategy & Tools) team unlocks value and enables decision-making at the intersection of Business, Technology, and Operations for Amazon Fresh & Grocery Partnerships. It comprises over 50 product and program managers, business intelligence engineers, and data scientists, along with 40+ associates in India, Romania, and Shanghai as part of our offshoring program. PST tackles the biggest cross-country challenges, drives efficient initiatives, and standardizes workflows to improve business performance, increase productivity, and enhance customer satisfaction. BASIC QUALIFICATIONS Bachelor's degree or equivalent Experience in stock management, product management, program management, or technology Experience working with cross-functional teams and senior stakeholders Ability to influence leaders through data-driven insights PREFERRED QUALIFICATIONS Experience owning and defining roadmap strategies Experience delivering end-to-end products Amazon is an equal opportunities employer. We value diversity and make recruiting decisions based on experience and skills. We prioritize privacy and data security; please see our Privacy Notice for details. If you need workplace accommodations during the application process, visit our accommodations page for more information.
