Your New Company and Role This is an exciting opportunity to join a forward-thinking organisation delivering cutting-edge automation solutions using AI and machine learning. You'll be part of a collaborative development team focused on enhancing and expanding automation services for high-volume, low-complexity workflows. Your work will involve developing and supporting systems that leverage OCR, Object Detection, and Large Language Models (LLMs) to automate document analysis and decision-making processes. You'll contribute to R&D efforts, integrate solutions into existing platforms, and help drive innovation in digital service delivery. . What You'll Need to Succeed You'll bring strong technical expertise and a proactive, collaborative mindset. Key skills and experience include: Technical Proficiency AI/ML technologies: OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuth Development Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair programming) Infrastructure-as-code and cloud monitoring (e.g., Grafana) Strong communication skills across technical and non-technical audiences Experience supporting production systems and disaster recovery planning You'll also be expected to contribute to mentoring, team events, and continuous improvement of development processes and service quality. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Sep 06, 2025
Contractor
Your New Company and Role This is an exciting opportunity to join a forward-thinking organisation delivering cutting-edge automation solutions using AI and machine learning. You'll be part of a collaborative development team focused on enhancing and expanding automation services for high-volume, low-complexity workflows. Your work will involve developing and supporting systems that leverage OCR, Object Detection, and Large Language Models (LLMs) to automate document analysis and decision-making processes. You'll contribute to R&D efforts, integrate solutions into existing platforms, and help drive innovation in digital service delivery. . What You'll Need to Succeed You'll bring strong technical expertise and a proactive, collaborative mindset. Key skills and experience include: Technical Proficiency AI/ML technologies: OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuth Development Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair programming) Infrastructure-as-code and cloud monitoring (e.g., Grafana) Strong communication skills across technical and non-technical audiences Experience supporting production systems and disaster recovery planning You'll also be expected to contribute to mentoring, team events, and continuous improvement of development processes and service quality. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one Java & React Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies Experience writing software using a test first approach About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Sep 06, 2025
Full time
Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one Java & React Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies Experience writing software using a test first approach About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Job Title: Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. Unfortunately we can't consider candidates that require sponsorship Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Requirements: Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally in a collaborative environment McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Sep 06, 2025
Full time
Job Title: Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. Unfortunately we can't consider candidates that require sponsorship Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Requirements: Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally in a collaborative environment McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Job Title CNC turning Setter / Programmer Location: Tewkesbury Salary: Starting salary 35,490 pa ( 17.50 per hour) - 40,000 ( 20.00 per hour) depending Job Type: Full-time, Permanent. 39-hour week, day shifts 8-5pm, Mon to Thurs, 8-1pm Fridays Colt precision is a growing precision engineering company based in Tewkesbury specialising in orthopaedic medical instrumentation, aerospace and the defence industries . The role: We're a small team with big potential and are looking to some-one who is passionate and self-motivated to grow with us. Located in Tewkesbury, Gloucestershire, we provide a wide range of precision engineered capabilities and a looking for an experienced CNC turning machinist with positive attitude capable of working on their own initiative. Join us and we'll provide an environment where you can be yourself. An inclusive, culture that invests in you, gives you a platform for continuous learning, and access to an incredible breadth and depth of opportunities to grow your career. At Colt our work is varied and interesting, no two days look the same giving you opportunity to continuously learn and improve in a safe and friendly environment. We offer excellent development, a competitive salary, and benefits What you will be doing: In this role, you will be involved in setting and operating a variety of Fanuc controlled CNC lathes Manufacturing parts for the Medical, aerospace and defence industries. With this exciting opportunity you will also get a chance to programme and be involved in lean manufacturing projects helping to shape the future of our business. Essential skills: Time served or apprentice trained Machinist. Experience of Fanuc controls Team Player with good communication skills Problem solving "can do" attitude Desirable skills: Experience of programming Fanuc controls Experience of Doosan fixed head or star sliding head lathes Experience of programming with fusion 360 or similar software Benefits: Employee support assistance Employee cycle scheme. Please click the APPLY button and to submit your CV and Cover Letter. Candidates with experience or relevant job titles of; CNC Programmer, CNC, Operator, CNC Operator, CNC Machinist, Machine Operator, Machinist, Turner, CNC Turner, CNC Operative, CNC Engineer, CNC Miller, Miller, Machine Operative, CNC Setter, Setter, CNC Programming, Machine CNC Turner, CNC Engineering may also be considered for this role.
Sep 06, 2025
Full time
Job Title CNC turning Setter / Programmer Location: Tewkesbury Salary: Starting salary 35,490 pa ( 17.50 per hour) - 40,000 ( 20.00 per hour) depending Job Type: Full-time, Permanent. 39-hour week, day shifts 8-5pm, Mon to Thurs, 8-1pm Fridays Colt precision is a growing precision engineering company based in Tewkesbury specialising in orthopaedic medical instrumentation, aerospace and the defence industries . The role: We're a small team with big potential and are looking to some-one who is passionate and self-motivated to grow with us. Located in Tewkesbury, Gloucestershire, we provide a wide range of precision engineered capabilities and a looking for an experienced CNC turning machinist with positive attitude capable of working on their own initiative. Join us and we'll provide an environment where you can be yourself. An inclusive, culture that invests in you, gives you a platform for continuous learning, and access to an incredible breadth and depth of opportunities to grow your career. At Colt our work is varied and interesting, no two days look the same giving you opportunity to continuously learn and improve in a safe and friendly environment. We offer excellent development, a competitive salary, and benefits What you will be doing: In this role, you will be involved in setting and operating a variety of Fanuc controlled CNC lathes Manufacturing parts for the Medical, aerospace and defence industries. With this exciting opportunity you will also get a chance to programme and be involved in lean manufacturing projects helping to shape the future of our business. Essential skills: Time served or apprentice trained Machinist. Experience of Fanuc controls Team Player with good communication skills Problem solving "can do" attitude Desirable skills: Experience of programming Fanuc controls Experience of Doosan fixed head or star sliding head lathes Experience of programming with fusion 360 or similar software Benefits: Employee support assistance Employee cycle scheme. Please click the APPLY button and to submit your CV and Cover Letter. Candidates with experience or relevant job titles of; CNC Programmer, CNC, Operator, CNC Operator, CNC Machinist, Machine Operator, Machinist, Turner, CNC Turner, CNC Operative, CNC Engineer, CNC Miller, Miller, Machine Operative, CNC Setter, Setter, CNC Programming, Machine CNC Turner, CNC Engineering may also be considered for this role.
Your New Company and Role Join a dynamic digital team focused on delivering intelligent automation solutions using cutting-edge technologies. In this role, you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns Data structures and algorithms for efficient data processing and model optimisation Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: Pandas and NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): Lambda function development with proper event handling and response formatting S3 operations including multipart uploads, presigned URLs, and event notifications CloudWatch logging and metrics for monitoring and debugging Understanding of IAM and security for role-based access and credential management Experience with CDK for infrastructure deployment SQS for message queuing EKS/ECS/Kubernetes for containerised AI deployments API Development : FastAPI for building REST APIs and model serving endpoints Requests library for HTTP client operations and external API integration Authentication/authorisation implementation (JWT, OAuth) Software Development: Making excellent quality AI/ML software collaboratively with other engineers Working effectively under technical leadership while contributing specialised AI/ML expertise Design and implementation of AI/ML solutions using service-based and serverless architecture Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences Development Practices: Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana Experience working in Agile delivery models - Scrum and/or Kanban frameworks Formal XP engineering techniques including TDD and pair programming Working within defined infrastructure-as-code frameworks What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Sep 05, 2025
Contractor
Your New Company and Role Join a dynamic digital team focused on delivering intelligent automation solutions using cutting-edge technologies. In this role, you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns Data structures and algorithms for efficient data processing and model optimisation Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: Pandas and NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): Lambda function development with proper event handling and response formatting S3 operations including multipart uploads, presigned URLs, and event notifications CloudWatch logging and metrics for monitoring and debugging Understanding of IAM and security for role-based access and credential management Experience with CDK for infrastructure deployment SQS for message queuing EKS/ECS/Kubernetes for containerised AI deployments API Development : FastAPI for building REST APIs and model serving endpoints Requests library for HTTP client operations and external API integration Authentication/authorisation implementation (JWT, OAuth) Software Development: Making excellent quality AI/ML software collaboratively with other engineers Working effectively under technical leadership while contributing specialised AI/ML expertise Design and implementation of AI/ML solutions using service-based and serverless architecture Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences Development Practices: Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana Experience working in Agile delivery models - Scrum and/or Kanban frameworks Formal XP engineering techniques including TDD and pair programming Working within defined infrastructure-as-code frameworks What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer - React/UI at JPMorgan Chase as a part of the FICC E-TRADING team, you will serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. This role involves direct interaction with the front office, building a wide range of UI tools. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, leveraging internal libraries such as MTK for components. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on system design concepts and proficient advanced experience Advanced in coding in React, JavaScript/Typescript, and familiar with Redux, Redux Toolkit, and OpenFin. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred Qualifications, Capabilities, and Skills Familiarity with modern front-end technologies and testing frameworks such as Playwright. Exposure to cloud technologies. Java full stack experience would be advantageous. Knowledge of AMPS messaging About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Sep 05, 2025
Full time
Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer - React/UI at JPMorgan Chase as a part of the FICC E-TRADING team, you will serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. This role involves direct interaction with the front office, building a wide range of UI tools. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, leveraging internal libraries such as MTK for components. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on system design concepts and proficient advanced experience Advanced in coding in React, JavaScript/Typescript, and familiar with Redux, Redux Toolkit, and OpenFin. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred Qualifications, Capabilities, and Skills Familiarity with modern front-end technologies and testing frameworks such as Playwright. Exposure to cloud technologies. Java full stack experience would be advantageous. Knowledge of AMPS messaging About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Location: Hybrid - London or Leeds, Yorkshire Are you passionate about building robust, scalable ML solutions and working at the forefront of data-driven innovation? We are looking for a Machine Learning Engineer to join an expanding team working on projects that drive cutting-edge automation and machine learning capabilities across a range of industries. Opportunity to work on innovative ML projects at scale. Collaborative and forward-thinking team environment. Access to the latest cloud and machine learning technologies . Responsibilities Design and implement ML pipelines and automation workflows for seamless CI/CD integration. Build and manage data engineering pipelines using Infrastructure as Code (IaC) principles. Collaborate with solutions architects and IT teams to integrate diverse data feeds into a unified ML platform. Ensure ML systems are secure, reliable, and production-ready , following best practices in MLOps and software engineering. Optimise performance, scalability, and monitoring across all deployed ML solutions. Essential Skills: Proficiency in Python and Unix Scripting (Bash). Solid experience with AWS services (S3, EC2, Lambda, SageMaker, CloudFormation, DynamoDB, etc.). Skilled with Docker and container management. Strong software engineering background : code reviews, version control, optimisation, testing, and logging. Expertise in machine learning libraries such as NumPy, Pandas, TensorFlow, PyTorch, SciPy, and Dask. Proven experience linking data from multiple systems to create scalable solutions. Knowledge of cloud security best practices and experience with DevOps life cycles . Desirable Skills: Knowledge of supervised/unsupervised learning, reinforcement learning, and Bayesian inference. AWS Certification (advantageous). Exposure to Google Cloud Big Data tools or Kafka .
Sep 05, 2025
Full time
Location: Hybrid - London or Leeds, Yorkshire Are you passionate about building robust, scalable ML solutions and working at the forefront of data-driven innovation? We are looking for a Machine Learning Engineer to join an expanding team working on projects that drive cutting-edge automation and machine learning capabilities across a range of industries. Opportunity to work on innovative ML projects at scale. Collaborative and forward-thinking team environment. Access to the latest cloud and machine learning technologies . Responsibilities Design and implement ML pipelines and automation workflows for seamless CI/CD integration. Build and manage data engineering pipelines using Infrastructure as Code (IaC) principles. Collaborate with solutions architects and IT teams to integrate diverse data feeds into a unified ML platform. Ensure ML systems are secure, reliable, and production-ready , following best practices in MLOps and software engineering. Optimise performance, scalability, and monitoring across all deployed ML solutions. Essential Skills: Proficiency in Python and Unix Scripting (Bash). Solid experience with AWS services (S3, EC2, Lambda, SageMaker, CloudFormation, DynamoDB, etc.). Skilled with Docker and container management. Strong software engineering background : code reviews, version control, optimisation, testing, and logging. Expertise in machine learning libraries such as NumPy, Pandas, TensorFlow, PyTorch, SciPy, and Dask. Proven experience linking data from multiple systems to create scalable solutions. Knowledge of cloud security best practices and experience with DevOps life cycles . Desirable Skills: Knowledge of supervised/unsupervised learning, reinforcement learning, and Bayesian inference. AWS Certification (advantageous). Exposure to Google Cloud Big Data tools or Kafka .
Location: Hybrid - London or Leeds, Yorkshire Are you passionate about building robust, scalable ML solutions and working at the forefront of data-driven innovation? We are looking for a Machine Learning Engineer to join an expanding team working on projects that drive cutting-edge automation and machine learning capabilities across a range of industries. Opportunity to work on innovative ML projects at scale. Collaborative and forward-thinking team environment. Access to the latest cloud and machine learning technologies . Responsibilities Design and implement ML pipelines and automation workflows for seamless CI/CD integration. Build and manage data engineering pipelines using Infrastructure as Code (IaC) principles. Collaborate with solutions architects and IT teams to integrate diverse data feeds into a unified ML platform. Ensure ML systems are secure, reliable, and production-ready , following best practices in MLOps and software engineering. Optimise performance, scalability, and monitoring across all deployed ML solutions. Essential Skills: Proficiency in Python and Unix Scripting (Bash). Solid experience with AWS services (S3, EC2, Lambda, SageMaker, CloudFormation, DynamoDB, etc.). Skilled with Docker and container management. Strong software engineering background : code reviews, version control, optimisation, testing, and logging. Expertise in machine learning libraries such as NumPy, Pandas, TensorFlow, PyTorch, SciPy, and Dask. Proven experience linking data from multiple systems to create scalable solutions. Knowledge of cloud security best practices and experience with DevOps life cycles . Desirable Skills: Knowledge of supervised/unsupervised learning, reinforcement learning, and Bayesian inference. AWS Certification (advantageous). Exposure to Google Cloud Big Data tools or Kafka .
Sep 05, 2025
Full time
Location: Hybrid - London or Leeds, Yorkshire Are you passionate about building robust, scalable ML solutions and working at the forefront of data-driven innovation? We are looking for a Machine Learning Engineer to join an expanding team working on projects that drive cutting-edge automation and machine learning capabilities across a range of industries. Opportunity to work on innovative ML projects at scale. Collaborative and forward-thinking team environment. Access to the latest cloud and machine learning technologies . Responsibilities Design and implement ML pipelines and automation workflows for seamless CI/CD integration. Build and manage data engineering pipelines using Infrastructure as Code (IaC) principles. Collaborate with solutions architects and IT teams to integrate diverse data feeds into a unified ML platform. Ensure ML systems are secure, reliable, and production-ready , following best practices in MLOps and software engineering. Optimise performance, scalability, and monitoring across all deployed ML solutions. Essential Skills: Proficiency in Python and Unix Scripting (Bash). Solid experience with AWS services (S3, EC2, Lambda, SageMaker, CloudFormation, DynamoDB, etc.). Skilled with Docker and container management. Strong software engineering background : code reviews, version control, optimisation, testing, and logging. Expertise in machine learning libraries such as NumPy, Pandas, TensorFlow, PyTorch, SciPy, and Dask. Proven experience linking data from multiple systems to create scalable solutions. Knowledge of cloud security best practices and experience with DevOps life cycles . Desirable Skills: Knowledge of supervised/unsupervised learning, reinforcement learning, and Bayesian inference. AWS Certification (advantageous). Exposure to Google Cloud Big Data tools or Kafka .
Job Description: Start date: 17 August 2026 Location: Filton, Bristol Duration : 12.5 months Application: We love your interest in joining Airbus! There is no limit on the number of positions you can apply for, however, please be aware that you can only progress in the selection process for one position at a time . We recommend reviewing all available opportunities and applying to those that best match your experience and aspirations. AI Guidance: We know you might be thinking about using AI to help you in your application - before you do, please read our guidelines on the use of AI for recruitment at Airbus . Apply early to avoid missing out - we may close adverts once we receive sufficient applications. Benefits: Salary: £23,400 35 hours per week Flexible working hours Hybrid working Half day Fridays! 25 days holiday plus bank holidays About us: Are you looking for the ideal start to your career with an exciting, global company? Are you passionate about engineering and love understanding how things work? Are you interested in developing solutions for the future environmentally sustainable aircraft? If so, joining Landing gear within the Airbus Internship Programme could be the ideal start to your career. Landing Gear Engineering is part of the wider Systems Centre of Competence (CoC), providing Airbus Commercial with excellence in Landing Gear definition, integration, industrialisation and in-service support. A complex area of aerospace engineering, Landing Gear engineering comprises control systems, mechanical systems & structures, integrated into the overall aircraft design for the key functions of take off, landing and taxiing. A significant proportion of Landing Gear activities are focused on aircraft programmes including A350XWB, A320 family, A330 family and A380 aircraft, but there is also significant focus on Research & Technology (R&T) for future aircraft development, capability/tool development and data science, as a result work activities are varied and interesting. We are embracing the data revolution, and bringing digital technology and data science to the forefront of what we do in each of our technical disciplines. We collaborate with other business functions to deliver on programmes and maintain technical excellence for Landing Gear topics: Landing systems definition and vendor management for new programmes, incremental developments and to support continuous product development; Integration, evolution, application and maturity of Landing Gear development processes, through state of the art simulations and data analytics technologies; Proactive product support for industrialisation, production and in-service; Execution of product, technology and innovation strategies to deliver Landing Gear related Research and Technology (R&T) for future and current Airbus products. What you will be doing: You will be given the opportunity to work with experienced teams across the Airbus aircraft family, from new development through to in-service aircraft, as well potentially working alongside suppliers, customers and manufacturing assembly. You are expected to contribute to the creation of optimum solutions for the landing gear product, to own projects where possible and to support on-going activities. You will also join our early careers community who support your professional development and to help integrate into life in the vibrant city of Bristol. As an Airbus Intern in a Landing Gear role, you may find yourself: Working in a collaborative team to help build predictive maintenance algorithms which aim to increase both the aircraft availability and reliability using data analytics methods and machine learning methods within our big data platform, Skywise; Consulting with experts during the validation and verification of systems design by defining requirements both at system and equipment level prior to the testing phase, which is completed through the use of models, simulations and test rigs; Developing relationships with in-service and production teams to investigate and evaluate the stress experienced by a damaged component or providing feedback to the Final Assembly Line, enabling efficiency improvements; Building collective knowledge in the team, problem solving, reporting your findings, presenting progress and results to stakeholders, enabling teamwork across functions and sites. We look to tailor the work you will be involved in based on your previous experience, interests and development needs to maximise the value you can add to the business. Requirements: Our placements are open to Undergraduates only . Therefore it is mandatory for candidates to be an undergraduate for the whole duration of the placement. Please inform your graduation date on your application. Your application should include a CV along with a Cover Letter outlining your motivation and suitability for the role. Successful candidates will be able to demonstrate the following: Studying towards a degree in Engineering (or in combination with another) such as Aerospace, Mechanical, Systems and Mechatronics, as well as Mathematics, Physics, Computer Science, Data Science and Analytics; Computer aided design e.g. CATIA; Use of modelling tools such as ADAMS, Matlab Simulink, Fluent; Programming experience in one of the following languages, Python, R, C/C++, Java, Javascript; Knowledge of data analysis/science theory and tools; Inquisitive mindset with good problem solving skills; High level of commitment and proactivity, taking ownership of projects; Willing to learn from mistakes and channel feedback into personal development; Demonstrating tenacity, resilience and perseverance when faced with adversity; Excellent written and verbal communication skills; Ability to work autonomously and as part of a team. SECURITY CLEARANCE: You will be subject to a BPSS (Baseline Personnel Security Standard) check. You may also need to gain UK SC-level Security Clearance or Export Control, depending on the role. Contact Please let us know if you need us to make any adjustments to allow you to access and participate fully in the recruitment process. If you wish to discuss this further please contact us. Any information disclosed will be treated in the strictest confidence. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company s success, reputation and sustainable growth. Company: Airbus Operations Limited Employment Type: Internship - Experience Level: Student Job Family: Fluid & Hydromechanics, Thermal By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
Sep 05, 2025
Full time
Job Description: Start date: 17 August 2026 Location: Filton, Bristol Duration : 12.5 months Application: We love your interest in joining Airbus! There is no limit on the number of positions you can apply for, however, please be aware that you can only progress in the selection process for one position at a time . We recommend reviewing all available opportunities and applying to those that best match your experience and aspirations. AI Guidance: We know you might be thinking about using AI to help you in your application - before you do, please read our guidelines on the use of AI for recruitment at Airbus . Apply early to avoid missing out - we may close adverts once we receive sufficient applications. Benefits: Salary: £23,400 35 hours per week Flexible working hours Hybrid working Half day Fridays! 25 days holiday plus bank holidays About us: Are you looking for the ideal start to your career with an exciting, global company? Are you passionate about engineering and love understanding how things work? Are you interested in developing solutions for the future environmentally sustainable aircraft? If so, joining Landing gear within the Airbus Internship Programme could be the ideal start to your career. Landing Gear Engineering is part of the wider Systems Centre of Competence (CoC), providing Airbus Commercial with excellence in Landing Gear definition, integration, industrialisation and in-service support. A complex area of aerospace engineering, Landing Gear engineering comprises control systems, mechanical systems & structures, integrated into the overall aircraft design for the key functions of take off, landing and taxiing. A significant proportion of Landing Gear activities are focused on aircraft programmes including A350XWB, A320 family, A330 family and A380 aircraft, but there is also significant focus on Research & Technology (R&T) for future aircraft development, capability/tool development and data science, as a result work activities are varied and interesting. We are embracing the data revolution, and bringing digital technology and data science to the forefront of what we do in each of our technical disciplines. We collaborate with other business functions to deliver on programmes and maintain technical excellence for Landing Gear topics: Landing systems definition and vendor management for new programmes, incremental developments and to support continuous product development; Integration, evolution, application and maturity of Landing Gear development processes, through state of the art simulations and data analytics technologies; Proactive product support for industrialisation, production and in-service; Execution of product, technology and innovation strategies to deliver Landing Gear related Research and Technology (R&T) for future and current Airbus products. What you will be doing: You will be given the opportunity to work with experienced teams across the Airbus aircraft family, from new development through to in-service aircraft, as well potentially working alongside suppliers, customers and manufacturing assembly. You are expected to contribute to the creation of optimum solutions for the landing gear product, to own projects where possible and to support on-going activities. You will also join our early careers community who support your professional development and to help integrate into life in the vibrant city of Bristol. As an Airbus Intern in a Landing Gear role, you may find yourself: Working in a collaborative team to help build predictive maintenance algorithms which aim to increase both the aircraft availability and reliability using data analytics methods and machine learning methods within our big data platform, Skywise; Consulting with experts during the validation and verification of systems design by defining requirements both at system and equipment level prior to the testing phase, which is completed through the use of models, simulations and test rigs; Developing relationships with in-service and production teams to investigate and evaluate the stress experienced by a damaged component or providing feedback to the Final Assembly Line, enabling efficiency improvements; Building collective knowledge in the team, problem solving, reporting your findings, presenting progress and results to stakeholders, enabling teamwork across functions and sites. We look to tailor the work you will be involved in based on your previous experience, interests and development needs to maximise the value you can add to the business. Requirements: Our placements are open to Undergraduates only . Therefore it is mandatory for candidates to be an undergraduate for the whole duration of the placement. Please inform your graduation date on your application. Your application should include a CV along with a Cover Letter outlining your motivation and suitability for the role. Successful candidates will be able to demonstrate the following: Studying towards a degree in Engineering (or in combination with another) such as Aerospace, Mechanical, Systems and Mechatronics, as well as Mathematics, Physics, Computer Science, Data Science and Analytics; Computer aided design e.g. CATIA; Use of modelling tools such as ADAMS, Matlab Simulink, Fluent; Programming experience in one of the following languages, Python, R, C/C++, Java, Javascript; Knowledge of data analysis/science theory and tools; Inquisitive mindset with good problem solving skills; High level of commitment and proactivity, taking ownership of projects; Willing to learn from mistakes and channel feedback into personal development; Demonstrating tenacity, resilience and perseverance when faced with adversity; Excellent written and verbal communication skills; Ability to work autonomously and as part of a team. SECURITY CLEARANCE: You will be subject to a BPSS (Baseline Personnel Security Standard) check. You may also need to gain UK SC-level Security Clearance or Export Control, depending on the role. Contact Please let us know if you need us to make any adjustments to allow you to access and participate fully in the recruitment process. If you wish to discuss this further please contact us. Any information disclosed will be treated in the strictest confidence. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company s success, reputation and sustainable growth. Company: Airbus Operations Limited Employment Type: Internship - Experience Level: Student Job Family: Fluid & Hydromechanics, Thermal By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
Manpower is currently seeking an interim SHE capabilities specialist - Digital, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based in Kingston upon Thames, Surrey. This is a full-time temporary role to run until 31/10/2026, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to 48,000 per annum, pro rata, depending upon experience. The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements. Flexibility with working hours as could be required to work with different time zones. Job Description: The ideal candidate will be a member of the SHE capability expertise team Zero Harm to People, focusing on Occupational Safety, Industrial Hygiene, Contractor and Construction Safety, owning the delivery of Digital projects, owner of digital products and solutions in scope, and thus enhancing capability and fostering a strong SHE culture on sites and within and beyond the Unilever organization. Key Responsibilities: Ownership: Owner of select number of digital projects, solutions and/or products of the expertise platform Is the overall subject matter expert of these select solutions and products. Keeps track of progress on delivery within the scope of the expertise platform Ability to learn various digital systems used in SHE and Unilever, understand interactions, able to implement chosen system and manage interactions Leadership Responsible for the delivery of these solutions and products for the Expertise Platform per agreed plan in year. Coordinates training sessions and/or trains users across the globe to successfully implement in year; provides guidance and support Coordinates SMEs to ensure solution/product functions as needed Leads by example; speaks up, encourages safe behaviours and practices, fosters a learning environment Strategy Support the development of the Digital Strategy and Digital Architecture aligned with organizational goals for the expertise platform Support Assessment of Digital Needs analysis by conducting an organizational needs assessment for the expertise platform Support the evaluation of Effectiveness of the tool by tracking against measures of success, user feedback and through various evaluation methods Continuous Improvement Addresses functional issues, makes recommendation and builds improvements based on user feedback; Ensures solutions and products are user friendly, fit for purpose and up to date. Assists in drafting revisions and amendments of functionality and functions Stays up to date with new technologies and opportunities to improve the solution functionality Teamwork: Collaborates within the SMEs and specialists within the SHE capability team and users to ensure the solutions deliver as per plan . Fosters the relationships within SHE and with other functions to ensure smooth functionality of solutions daily Comfortable with and able to work with stakeholders outside of SHE and external expertise to deliver per plan Qualifications: Bachelor's degree in data science, finance, engineering or a related field. (preferred) Experience in SHE, engineering, IT Strong communication, and problem-solving skills. Proven ability to deliver on time in full Experience working in a multicultural environment. Strong knowledge of safety regulations and compliance standards. Proficiency in SHE management systems and tools Excellent communication and presentation skills. Ability to work collaboratively with cross-functional teams and site personnel. Certification in safety training (e.g., OSHA, NEBOSH) is a plus. Kingston working environment: Contractors who are based at Kingston will be eligible to get free parking at a local carpark There is a Unilever Staff Shop located on the Ground Floor next to the main entrance, where Contingent Workers can buy discounted Unilever products. A canteen A Gym is available for use on the Ground Floor (with subscription). Facilities in the gym include cardiovascular equipment, resistance machines, spin bikes, free weights area, boxing equipment and a stretch/matted area. Classes are also available and can be booked directly with the Gym. Shower facilities are available in the changing rooms, along with hairdryers.
Sep 05, 2025
Seasonal
Manpower is currently seeking an interim SHE capabilities specialist - Digital, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based in Kingston upon Thames, Surrey. This is a full-time temporary role to run until 31/10/2026, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to 48,000 per annum, pro rata, depending upon experience. The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements. Flexibility with working hours as could be required to work with different time zones. Job Description: The ideal candidate will be a member of the SHE capability expertise team Zero Harm to People, focusing on Occupational Safety, Industrial Hygiene, Contractor and Construction Safety, owning the delivery of Digital projects, owner of digital products and solutions in scope, and thus enhancing capability and fostering a strong SHE culture on sites and within and beyond the Unilever organization. Key Responsibilities: Ownership: Owner of select number of digital projects, solutions and/or products of the expertise platform Is the overall subject matter expert of these select solutions and products. Keeps track of progress on delivery within the scope of the expertise platform Ability to learn various digital systems used in SHE and Unilever, understand interactions, able to implement chosen system and manage interactions Leadership Responsible for the delivery of these solutions and products for the Expertise Platform per agreed plan in year. Coordinates training sessions and/or trains users across the globe to successfully implement in year; provides guidance and support Coordinates SMEs to ensure solution/product functions as needed Leads by example; speaks up, encourages safe behaviours and practices, fosters a learning environment Strategy Support the development of the Digital Strategy and Digital Architecture aligned with organizational goals for the expertise platform Support Assessment of Digital Needs analysis by conducting an organizational needs assessment for the expertise platform Support the evaluation of Effectiveness of the tool by tracking against measures of success, user feedback and through various evaluation methods Continuous Improvement Addresses functional issues, makes recommendation and builds improvements based on user feedback; Ensures solutions and products are user friendly, fit for purpose and up to date. Assists in drafting revisions and amendments of functionality and functions Stays up to date with new technologies and opportunities to improve the solution functionality Teamwork: Collaborates within the SMEs and specialists within the SHE capability team and users to ensure the solutions deliver as per plan . Fosters the relationships within SHE and with other functions to ensure smooth functionality of solutions daily Comfortable with and able to work with stakeholders outside of SHE and external expertise to deliver per plan Qualifications: Bachelor's degree in data science, finance, engineering or a related field. (preferred) Experience in SHE, engineering, IT Strong communication, and problem-solving skills. Proven ability to deliver on time in full Experience working in a multicultural environment. Strong knowledge of safety regulations and compliance standards. Proficiency in SHE management systems and tools Excellent communication and presentation skills. Ability to work collaboratively with cross-functional teams and site personnel. Certification in safety training (e.g., OSHA, NEBOSH) is a plus. Kingston working environment: Contractors who are based at Kingston will be eligible to get free parking at a local carpark There is a Unilever Staff Shop located on the Ground Floor next to the main entrance, where Contingent Workers can buy discounted Unilever products. A canteen A Gym is available for use on the Ground Floor (with subscription). Facilities in the gym include cardiovascular equipment, resistance machines, spin bikes, free weights area, boxing equipment and a stretch/matted area. Classes are also available and can be booked directly with the Gym. Shower facilities are available in the changing rooms, along with hairdryers.
Our client, a leading company in the Defence & Security sector, is currently seeking a data-driven and passionate Data Scientist with SC or eDV clearance to join their team. This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact. Key Responsibilities: Leading client projects and providing subject matter expertise. Working in scrum-like environments for iterative and 'fail-fast' work and innovation. Assessing clients' business and technical needs to identify opportunities for data science usage. Solving problems using data science techniques and in a scientifically robust fashion. Identifying relevant data sources and leveraging them to meet client needs. Modelling various forms of data for efficient data science use. Investigating and analysing data to uncover meaningful insights. Applying statistical and evidence-based techniques to inform insights and actions. Communicating technical content appropriately both internally and to customers. Building maintainable code using existing or novel data science techniques. Designing, evaluating, and implementing data science and machine learning techniques. Developing scalable models and algorithms for deployment in production environments. Applying ethical principles in handling data. Delivering high-quality work to agreed timelines and taking the initiative. Supporting client engagements, including pitches and presentations. Contributing to the company strategy and helping to shape the future. Job Requirements: DV Cleared (2023, 2024, 2025) or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). Understanding of coding best practices, design patterns, and versioning. Strong interpersonal skills and the ability to communicate effectively with clients and colleagues. Benefits: Joining a dynamic and agile organisation. Opportunities for professional growth and development. Working in an environment that values transparency, fairness, and daring. Collaborative and respectful work environment. Hybrid working model with 2-3 days in the office or on a client site. If you are a skilled Data Scientist with the necessary clearance and a passion for technology and problem-solving, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team.
Sep 05, 2025
Full time
Our client, a leading company in the Defence & Security sector, is currently seeking a data-driven and passionate Data Scientist with SC or eDV clearance to join their team. This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact. Key Responsibilities: Leading client projects and providing subject matter expertise. Working in scrum-like environments for iterative and 'fail-fast' work and innovation. Assessing clients' business and technical needs to identify opportunities for data science usage. Solving problems using data science techniques and in a scientifically robust fashion. Identifying relevant data sources and leveraging them to meet client needs. Modelling various forms of data for efficient data science use. Investigating and analysing data to uncover meaningful insights. Applying statistical and evidence-based techniques to inform insights and actions. Communicating technical content appropriately both internally and to customers. Building maintainable code using existing or novel data science techniques. Designing, evaluating, and implementing data science and machine learning techniques. Developing scalable models and algorithms for deployment in production environments. Applying ethical principles in handling data. Delivering high-quality work to agreed timelines and taking the initiative. Supporting client engagements, including pitches and presentations. Contributing to the company strategy and helping to shape the future. Job Requirements: DV Cleared (2023, 2024, 2025) or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). Understanding of coding best practices, design patterns, and versioning. Strong interpersonal skills and the ability to communicate effectively with clients and colleagues. Benefits: Joining a dynamic and agile organisation. Opportunities for professional growth and development. Working in an environment that values transparency, fairness, and daring. Collaborative and respectful work environment. Hybrid working model with 2-3 days in the office or on a client site. If you are a skilled Data Scientist with the necessary clearance and a passion for technology and problem-solving, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team.
Data Scientist - GCP 500- 550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers to build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data and AI. This is a fantastic opportunity to contribute to an industry-leading team, solving real-world problems with cutting-edge tools over an initial 6-month contract .
Sep 05, 2025
Contractor
Data Scientist - GCP 500- 550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers to build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data and AI. This is a fantastic opportunity to contribute to an industry-leading team, solving real-world problems with cutting-edge tools over an initial 6-month contract .
Backend Integration Developer Modern PHP, APIs, Cloud Hybrid: Two days in our client's London office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing platform. By Wednesday, you could be writing a PHP 8.2 script to automate image processing for a new exhibition launch. Friday afternoon? Testing out an AI tool to help curators search archive materials faster. That s the reality of life as a Backend Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable developer to join a nationally respected cultural institution with an ambitious digital vision. You ll work on varied and meaningful projects; from API-driven integrations to AI experimentation - helping to shape a modern, secure, and scalable technology environment. You ll operate in a multi-platform environment: Windows is predominant, but production Linux systems are crucial to the role. Backend Integration Developer Key Skills what we re looking for You don t need to have Backend Integration Developer on your CV to be a great fit. If you ve worked in backend development, software engineering, or API management and you re confident with modern PHP and Linux we d love to hear from you. Essential: Strong skills in backend development and systems integration. Modern PHP (v8+) experience, ideally including PHP 8.2+ or above. Proficiency in Linux server environments, with Windows server familiarity. Experience developing and managing APIs. Familiarity with MySQL and at least one search platform such as Elasticsearch or SOLR. Knowledge of Git, version control, and CI/CD pipelines. Strong problem-solving skills and ability to work independently. Useful to have: Python and JavaScript (Node.js) for automation or backend logic. Experience with other OO programming languages. Familiarity with cloud platforms, especially Microsoft Azure. Containerisation tools such as Docker. Automation tools like Ansible. Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you ll be doing: As a Backend Integration Developer, you ll work across backend systems, APIs, and digital platforms to deliver seamless integrations, improve performance, and support new digital capabilities. This is a hands-on, varied role where you ll contribute ideas, explore new technologies, and make a visible impact. Develop, integrate, and maintain APIs across multiple platforms and services. Write and optimise backend code, with a focus on PHP and automation scripts. Support server infrastructure across Linux (production) and Windows (development and other services) environments. Improve deployment workflows, CI/CD pipelines, and automated testing. Contribute to AI-related projects and innovation initiatives. Enhance search functionality and digital content delivery. Collaborate with internal teams to deliver secure, high-performing solutions. Maintain clear technical documentation and troubleshooting guides. Why join? Work on high-profile, mission-driven projects that reach millions. Be part of preserving and sharing a legacy that spans generations, using technology to connect people with history in new and meaningful ways. Exposure to a wide tech stack, from PHP and Python to AI and cloud tools. Hybrid working pattern with a collaborative, supportive team. Strong focus on professional development and learning. Salary & Benefits: £50-60,000 (dependent on experience) 25 days annual leave (rising to 30 after 5 years) plus public holidays Exceptional pension contributions (16.7% 24.3%) Free access to partner museum exhibitions Enhanced parental benefits and family-friendly policies Cycle-to-work and season ticket loan schemes Healthcare membership options Ready to bring your backend and integration skills to an organisation with purpose? Apply now for a confidential conversation about this unique opportunity. Please note: Shortlisted candidates will receive the official job description later in the process. It will carry a different job title to the one advertised, but the scope and responsibilities remain exactly as described here.
Sep 05, 2025
Full time
Backend Integration Developer Modern PHP, APIs, Cloud Hybrid: Two days in our client's London office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing platform. By Wednesday, you could be writing a PHP 8.2 script to automate image processing for a new exhibition launch. Friday afternoon? Testing out an AI tool to help curators search archive materials faster. That s the reality of life as a Backend Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable developer to join a nationally respected cultural institution with an ambitious digital vision. You ll work on varied and meaningful projects; from API-driven integrations to AI experimentation - helping to shape a modern, secure, and scalable technology environment. You ll operate in a multi-platform environment: Windows is predominant, but production Linux systems are crucial to the role. Backend Integration Developer Key Skills what we re looking for You don t need to have Backend Integration Developer on your CV to be a great fit. If you ve worked in backend development, software engineering, or API management and you re confident with modern PHP and Linux we d love to hear from you. Essential: Strong skills in backend development and systems integration. Modern PHP (v8+) experience, ideally including PHP 8.2+ or above. Proficiency in Linux server environments, with Windows server familiarity. Experience developing and managing APIs. Familiarity with MySQL and at least one search platform such as Elasticsearch or SOLR. Knowledge of Git, version control, and CI/CD pipelines. Strong problem-solving skills and ability to work independently. Useful to have: Python and JavaScript (Node.js) for automation or backend logic. Experience with other OO programming languages. Familiarity with cloud platforms, especially Microsoft Azure. Containerisation tools such as Docker. Automation tools like Ansible. Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you ll be doing: As a Backend Integration Developer, you ll work across backend systems, APIs, and digital platforms to deliver seamless integrations, improve performance, and support new digital capabilities. This is a hands-on, varied role where you ll contribute ideas, explore new technologies, and make a visible impact. Develop, integrate, and maintain APIs across multiple platforms and services. Write and optimise backend code, with a focus on PHP and automation scripts. Support server infrastructure across Linux (production) and Windows (development and other services) environments. Improve deployment workflows, CI/CD pipelines, and automated testing. Contribute to AI-related projects and innovation initiatives. Enhance search functionality and digital content delivery. Collaborate with internal teams to deliver secure, high-performing solutions. Maintain clear technical documentation and troubleshooting guides. Why join? Work on high-profile, mission-driven projects that reach millions. Be part of preserving and sharing a legacy that spans generations, using technology to connect people with history in new and meaningful ways. Exposure to a wide tech stack, from PHP and Python to AI and cloud tools. Hybrid working pattern with a collaborative, supportive team. Strong focus on professional development and learning. Salary & Benefits: £50-60,000 (dependent on experience) 25 days annual leave (rising to 30 after 5 years) plus public holidays Exceptional pension contributions (16.7% 24.3%) Free access to partner museum exhibitions Enhanced parental benefits and family-friendly policies Cycle-to-work and season ticket loan schemes Healthcare membership options Ready to bring your backend and integration skills to an organisation with purpose? Apply now for a confidential conversation about this unique opportunity. Please note: Shortlisted candidates will receive the official job description later in the process. It will carry a different job title to the one advertised, but the scope and responsibilities remain exactly as described here.
AI Engineer (Mid-Level) - Hybrid (UK-based) - 45,000 - 50,000 + Benefits + Great personal and skills development. We are looking for a Mid-Level AI Engineer, who is passionate about the future of AI and how it can transform the way that we work. We are working with an established Marketing Agency who are looking for a curious, hands on AI Engineer to join their growing team and help them explore, test and embed new AI tools into their creative and operational workflows, build their AI Infrastructure and work on projects / deployments for their clients. This is an exciting opportunity for someone who loves experimenting with the latest AI technologies, building practical solutions, and helping teams unlock new possibilities with smarter tools. The ideal candudate will have the ability to take ideas, test them quickly, and turn them into useful solutions that make a difference. You will be joining a forward thinking agency that embraces experimentation and supports continuous learning. Their office is based in London and we do require some time in office, however this can be flexible - weekly or a couple of days per month. Your role will invlove: Exploring and evaluating emerging AI platforms and tools. Designing and maintaining internal AI resources such as prompt libraries, guides, and playbooks. Building and customising AI powered assistants, dashboards, or prototypes to support real world workflows. Working closely with creative, operational teams and their clients to understand how AI can add value in practical ways. Writing clear documentation and how to guides to make AI adoption easy for non technical users. Sharing learnings, wins, and use cases across the business to champion best practice. What we need you to have: Previous experience working with AI or machine learning tools, ideally in a hands on engineering role. Strong interest in generative AI and its creative or business applications. Ability to translate technical workflows into clear, simple documentation for a wider audience. A curious, systems oriented mindset, you enjoy solving problems and experimenting with new tools. Beneficial (not essential) Basic coding skills (e.g., Python, JavaScript) or experience with no-code/low-code platforms. Knowledge of automation tools such as Zapier, Make, or Airtable. Experience working on creative or digital projects alongside cross-functional teams. What is on offer Competitive salary Opportunity to shape how AI is used across a growing business. Annual bonus (up to 18%) and yearly pay review. Health insurance, wellbeing budget, and yearly training allowance. 25 days holiday (plus bank holidays). Hybrid working and regular team socials/events. This role is perfect for someone who is mid-level in their AI career, confident enough to experiment and deliver projects independently, but excited to keep learning and growing. If you are curious, collaborative, and love making AI practical and impactful, we would love to hear from you. Client is ready to interview, apply now for immediate consideration!
Sep 05, 2025
Full time
AI Engineer (Mid-Level) - Hybrid (UK-based) - 45,000 - 50,000 + Benefits + Great personal and skills development. We are looking for a Mid-Level AI Engineer, who is passionate about the future of AI and how it can transform the way that we work. We are working with an established Marketing Agency who are looking for a curious, hands on AI Engineer to join their growing team and help them explore, test and embed new AI tools into their creative and operational workflows, build their AI Infrastructure and work on projects / deployments for their clients. This is an exciting opportunity for someone who loves experimenting with the latest AI technologies, building practical solutions, and helping teams unlock new possibilities with smarter tools. The ideal candudate will have the ability to take ideas, test them quickly, and turn them into useful solutions that make a difference. You will be joining a forward thinking agency that embraces experimentation and supports continuous learning. Their office is based in London and we do require some time in office, however this can be flexible - weekly or a couple of days per month. Your role will invlove: Exploring and evaluating emerging AI platforms and tools. Designing and maintaining internal AI resources such as prompt libraries, guides, and playbooks. Building and customising AI powered assistants, dashboards, or prototypes to support real world workflows. Working closely with creative, operational teams and their clients to understand how AI can add value in practical ways. Writing clear documentation and how to guides to make AI adoption easy for non technical users. Sharing learnings, wins, and use cases across the business to champion best practice. What we need you to have: Previous experience working with AI or machine learning tools, ideally in a hands on engineering role. Strong interest in generative AI and its creative or business applications. Ability to translate technical workflows into clear, simple documentation for a wider audience. A curious, systems oriented mindset, you enjoy solving problems and experimenting with new tools. Beneficial (not essential) Basic coding skills (e.g., Python, JavaScript) or experience with no-code/low-code platforms. Knowledge of automation tools such as Zapier, Make, or Airtable. Experience working on creative or digital projects alongside cross-functional teams. What is on offer Competitive salary Opportunity to shape how AI is used across a growing business. Annual bonus (up to 18%) and yearly pay review. Health insurance, wellbeing budget, and yearly training allowance. 25 days holiday (plus bank holidays). Hybrid working and regular team socials/events. This role is perfect for someone who is mid-level in their AI career, confident enough to experiment and deliver projects independently, but excited to keep learning and growing. If you are curious, collaborative, and love making AI practical and impactful, we would love to hear from you. Client is ready to interview, apply now for immediate consideration!
Specialists in providing engineered above ground drainage and water supply systems, Polypipe Building Services leverages offsite fabrication to design and deliver solutions to mechanical and public health engineers, M&E contractors as well as local authorities. Polypipe Building Services houses well-known industry brand Terrain and has been delivering systems to commercial, high rise residential, healthcare, education and leisure projects for over 50 years. Role Overview: The main purpose of the Extrusion Production Technician role is to manufacture extruded products and must ensure that production standards relating to safety, quality, outputs and cost are met. The Trainee Production Technician will learn and gain knowledge to enable complete product / tool changeovers on Extrusion machines, process start-up and shut-down together with quality checks including first off approval and routine periodic checks. Key Responsibilities: Ensure all agreed safe methods of working are followed at all times and, if any, report near misses or Big Six hazards in order to prevent potential accidents. Ensure that production plans are met on time and in full at the required cost and quality levels. Complete product / tool changeovers, including the die head, calibrators and all associated downstream equipment are completed in a safe manner within the expected changeover time. Ensure that product first off and routine quality checks are completed and that products meet the required dimensional and visual specifications. Start-up and shut-down of the various extrusion processes. Ensure both extrusion tool / calibrator and equipment are maintained to the highest standards within the bounds of the Production Technician responsibilities. Maintain high levels of housekeeping within the factory areas, including the cleaning of machines and removal of unwanted materials. Participate in improvement activities such as SMED, Kaizen Teams (continuous improvement) and 6S activities. Ensure all relevant data is captured and entered onto appropriate systems (e.g. scrap, production outputs, tooling problems, downtime, material reconciliation, quality, overweight etc) Ensure all waste products are separated into their designated containers Skills & Requirements: Experience of working in a hands-on and fast paced manufacturing department Able to work under own initiative, and have a willing, pro-active and positive approach to learning and development Committed and reliable with an excellent timekeeping/attendance record Working Hours & Benefits: Monday - Friday, 3 rotating shifts, 6:00am-2:00pm, 2:00pm-10:00pm, 10:00pm-6:00am Shift Premium paid on top of basic salary 25 days holiday entitlement Save as you earn Sharesave Scheme Cycle to work scheme Contributory pension scheme - matched up to 8% Life assurance (linked to pension scheme membership) Free flu vouchers Various health & wellbeing initiatives including complimentary occupational health on-site physiotherapy and counselling services Staff discount on all Genuit Group products Free on-site parking
Sep 05, 2025
Full time
Specialists in providing engineered above ground drainage and water supply systems, Polypipe Building Services leverages offsite fabrication to design and deliver solutions to mechanical and public health engineers, M&E contractors as well as local authorities. Polypipe Building Services houses well-known industry brand Terrain and has been delivering systems to commercial, high rise residential, healthcare, education and leisure projects for over 50 years. Role Overview: The main purpose of the Extrusion Production Technician role is to manufacture extruded products and must ensure that production standards relating to safety, quality, outputs and cost are met. The Trainee Production Technician will learn and gain knowledge to enable complete product / tool changeovers on Extrusion machines, process start-up and shut-down together with quality checks including first off approval and routine periodic checks. Key Responsibilities: Ensure all agreed safe methods of working are followed at all times and, if any, report near misses or Big Six hazards in order to prevent potential accidents. Ensure that production plans are met on time and in full at the required cost and quality levels. Complete product / tool changeovers, including the die head, calibrators and all associated downstream equipment are completed in a safe manner within the expected changeover time. Ensure that product first off and routine quality checks are completed and that products meet the required dimensional and visual specifications. Start-up and shut-down of the various extrusion processes. Ensure both extrusion tool / calibrator and equipment are maintained to the highest standards within the bounds of the Production Technician responsibilities. Maintain high levels of housekeeping within the factory areas, including the cleaning of machines and removal of unwanted materials. Participate in improvement activities such as SMED, Kaizen Teams (continuous improvement) and 6S activities. Ensure all relevant data is captured and entered onto appropriate systems (e.g. scrap, production outputs, tooling problems, downtime, material reconciliation, quality, overweight etc) Ensure all waste products are separated into their designated containers Skills & Requirements: Experience of working in a hands-on and fast paced manufacturing department Able to work under own initiative, and have a willing, pro-active and positive approach to learning and development Committed and reliable with an excellent timekeeping/attendance record Working Hours & Benefits: Monday - Friday, 3 rotating shifts, 6:00am-2:00pm, 2:00pm-10:00pm, 10:00pm-6:00am Shift Premium paid on top of basic salary 25 days holiday entitlement Save as you earn Sharesave Scheme Cycle to work scheme Contributory pension scheme - matched up to 8% Life assurance (linked to pension scheme membership) Free flu vouchers Various health & wellbeing initiatives including complimentary occupational health on-site physiotherapy and counselling services Staff discount on all Genuit Group products Free on-site parking
We're looking for an experienced AI Consultant / Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems. If you're passionate about AI, thrive in fast-moving environments, and love building innovative solutions from scratch, this could be the perfect role for you. What you'll be doing Building and refining LLM-based agents, including retrieval-augmented generation and data retrieval systems. Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases. Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results. Staying ahead of open-source AI trends and integrating the best tools into the tech stack. Prototyping, testing, and refining AI applications to improve accuracy and performance. Writing clean, modular Python code and performing rapid data processing and feature engineering. Identifying and prioritising opportunities for AI implementation based on business needs and feedback. Translating complex technical concepts into clear, accessible explanations for stakeholders. What we're looking for Essential: Strong experience with Gen AI, NLP, and machine learning. Proven ability to create, train, and fine-tune LLMs/SLMs. Skills in prompt engineering and RAG (retrieval-augmented generation). Solid background in Python, Java, and database technologies (SQL/NoSQL). Experience in crawling/web scraping and API development. Experience with on-premise AI development (local LLMs, model deployment, open-source frameworks). Desirable: Strong knowledge of data structures, algorithms, and solution architecture. Broad understanding of machine learning algorithms and principles. What's on offer Salary: 60,000 - 70,000 DOE 25 days' annual leave + bank holidays Discretionary bonus scheme Defined contribution pension (up to 8.5% employer contribution) Private medical insurance & health cover options Flexible benefits allowance (e.g. dental, gym, travel insurance, holiday buy/sell) Life assurance & income protection Hybrid working with some on-site collaboration in Surrey
Sep 05, 2025
Full time
We're looking for an experienced AI Consultant / Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems. If you're passionate about AI, thrive in fast-moving environments, and love building innovative solutions from scratch, this could be the perfect role for you. What you'll be doing Building and refining LLM-based agents, including retrieval-augmented generation and data retrieval systems. Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases. Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results. Staying ahead of open-source AI trends and integrating the best tools into the tech stack. Prototyping, testing, and refining AI applications to improve accuracy and performance. Writing clean, modular Python code and performing rapid data processing and feature engineering. Identifying and prioritising opportunities for AI implementation based on business needs and feedback. Translating complex technical concepts into clear, accessible explanations for stakeholders. What we're looking for Essential: Strong experience with Gen AI, NLP, and machine learning. Proven ability to create, train, and fine-tune LLMs/SLMs. Skills in prompt engineering and RAG (retrieval-augmented generation). Solid background in Python, Java, and database technologies (SQL/NoSQL). Experience in crawling/web scraping and API development. Experience with on-premise AI development (local LLMs, model deployment, open-source frameworks). Desirable: Strong knowledge of data structures, algorithms, and solution architecture. Broad understanding of machine learning algorithms and principles. What's on offer Salary: 60,000 - 70,000 DOE 25 days' annual leave + bank holidays Discretionary bonus scheme Defined contribution pension (up to 8.5% employer contribution) Private medical insurance & health cover options Flexible benefits allowance (e.g. dental, gym, travel insurance, holiday buy/sell) Life assurance & income protection Hybrid working with some on-site collaboration in Surrey
Nexperia is one of the world s leaders in essential semiconductors and aspires to become a $10b turnover business by 2030. This ambition can be achieved through our next-generation technologies, ongoing improvement in manufacturing sustainability, state-of-the-art facilities, and, most importantly, investing in our people. We are expanding our site IT Management team following a recent promotion by hiring a Factory IT Manager to lead IT-related operations in a high-volume, fast-paced semiconductor manufacturing site. What our Factory IT Manager will do: Nexperia Manchester employs over 1000 people across Production, Engineering, and site support services, working together to produce over 14,000 semiconductors each week. Reporting to the Head of Front-end Manufacturing IT, the Factory IT Manager will lead and manage all IT operations within the wafer fabrication facility. This includes tool interfaces, factory automation, manufacturing execution systems, and data infrastructure. As well as being responsible for ensuring 24/7 uptime of the factory IT systems, you will also drive transformation initiatives, whilst maintaining cybersecurity and compliance within the factory environment. This position offers a rare opportunity to make an impact within IT operations at one of the UK s largest semiconductor manufacturing sites, whilst inspiring a growing team of IT professionals. Key responsibilities will also include: Leading and managing all IT operations within the wafer fabrication facility, including tool interfaces, factory automation, Manufacturing Execution Systems, and Data Infrastructure Collaborating with Fab Operations, including Engineering and Production teams, to support production demand and optimize system uptime Ensuring the reliability, availability, and performance of IT systems critical to fab manufacturing processes (e.g., MES, SPC, APC, Factory Bus, SECS/GEM interfaces, Plant Maintenance) Managing and coordinating factory IT projects, including upgrades, migrations, new tool integration, and system improvements Developing and implementing IT standards, procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships, service contracts, and Factory IT support staff or contractors on-site, including a dedicated Factory Systems Support team (CIM), Operational Technology Engineers, Data Engineers, and Web Developer Monitoring and reporting on system performance, availability, and incident response metrics Providing leadership in incident management and root cause analysis for system-related issues, while also ensuring effective change control procedures for all changes introduced to the factory (ITIL) Managing and leading a team of eight IT professionals with growth plans What the Factory IT Manager will need: Essential requirements: Bachelor s degree in Computer Science, Information Technology, Electrical Engineering, related field, or relevant industrial experience 7+ years of IT experience in a manufacturing or semiconductor environment, with at least 3 years in a leadership role In-depth knowledge of factory manufacturing systems, including MES (e.g., FACTORYworks, Camstar, or proprietary), Tool Automation, SECS/GEM protocols, Plant Maintenance (Xsite), APC/SPC systems Experience in managing mission-critical IT infrastructure in a 24/7 operational environment Strong understanding of IT networking, databases (SQL, Oracle), server (Windows, Linux), storage systems, and virtualization Familiarity with cybersecurity frameworks and regulatory compliance relevant to semiconductor manufacturing Excellent problem-solving, project management, and communication skills Ability to lead cross-functional teams and manage multiple priorities in a high-pressure environment Ability to work on-site full-time with occasional travel to other sites Ability to work in the United Kingdom without the need for visa sponsorship Desirable requirements: Knowledge of Industry 4.0 technologies and implementation experience ITIL or relevant technical certifications Prior experience in a Semiconductor Wafer Fab is a strong plus, but not essential What your benefits will include: Remuneration & Reward Base salary of £60,000-£90,000 (DOE), Annual Incentive Plan of up to 24% , excellent contributory pension scheme of up to 9% , Electric Vehicle Salary Sacrifice Scheme, recognition rewards scheme, income protection, 12 x salary life assurance, long term incentive plans (DOE) and more. Health & Wellbeing 33 days annual leave including bank holidays, flexible benefits scheme, enhanced sick pay, on-site medical centre, virtual GP benefit, subsidised canteen, employee assistance programme, retail and entertainment reductions, and a variety of sports and social clubs. Professional Development Possibility for funded academic support up to PhD level, employee goal setting and development plans, huge growth potential both internally and globally within the business, opportunity to contribute and work with cutting-edge technologies. Corporate Social Responsibility & Sustainability A global commitment to becoming carbon neutral by 2035, working with suppliers who embrace and comply with the Nexperia Supplier Code of Conduct, and paid time off for every employee to support charitable work. Diversity, Equity, and Inclusion Corporate members of Neurodiversity in Business and a Disability Confident Employer. Dedicated Employee Resource Groups for Neuroinclusion, the LGBTQ+ community, and Women in Nexperia, with a commitment to increase women in management positions to 30% by 2030. Be Part of Something Bigger.
Sep 05, 2025
Full time
Nexperia is one of the world s leaders in essential semiconductors and aspires to become a $10b turnover business by 2030. This ambition can be achieved through our next-generation technologies, ongoing improvement in manufacturing sustainability, state-of-the-art facilities, and, most importantly, investing in our people. We are expanding our site IT Management team following a recent promotion by hiring a Factory IT Manager to lead IT-related operations in a high-volume, fast-paced semiconductor manufacturing site. What our Factory IT Manager will do: Nexperia Manchester employs over 1000 people across Production, Engineering, and site support services, working together to produce over 14,000 semiconductors each week. Reporting to the Head of Front-end Manufacturing IT, the Factory IT Manager will lead and manage all IT operations within the wafer fabrication facility. This includes tool interfaces, factory automation, manufacturing execution systems, and data infrastructure. As well as being responsible for ensuring 24/7 uptime of the factory IT systems, you will also drive transformation initiatives, whilst maintaining cybersecurity and compliance within the factory environment. This position offers a rare opportunity to make an impact within IT operations at one of the UK s largest semiconductor manufacturing sites, whilst inspiring a growing team of IT professionals. Key responsibilities will also include: Leading and managing all IT operations within the wafer fabrication facility, including tool interfaces, factory automation, Manufacturing Execution Systems, and Data Infrastructure Collaborating with Fab Operations, including Engineering and Production teams, to support production demand and optimize system uptime Ensuring the reliability, availability, and performance of IT systems critical to fab manufacturing processes (e.g., MES, SPC, APC, Factory Bus, SECS/GEM interfaces, Plant Maintenance) Managing and coordinating factory IT projects, including upgrades, migrations, new tool integration, and system improvements Developing and implementing IT standards, procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships, service contracts, and Factory IT support staff or contractors on-site, including a dedicated Factory Systems Support team (CIM), Operational Technology Engineers, Data Engineers, and Web Developer Monitoring and reporting on system performance, availability, and incident response metrics Providing leadership in incident management and root cause analysis for system-related issues, while also ensuring effective change control procedures for all changes introduced to the factory (ITIL) Managing and leading a team of eight IT professionals with growth plans What the Factory IT Manager will need: Essential requirements: Bachelor s degree in Computer Science, Information Technology, Electrical Engineering, related field, or relevant industrial experience 7+ years of IT experience in a manufacturing or semiconductor environment, with at least 3 years in a leadership role In-depth knowledge of factory manufacturing systems, including MES (e.g., FACTORYworks, Camstar, or proprietary), Tool Automation, SECS/GEM protocols, Plant Maintenance (Xsite), APC/SPC systems Experience in managing mission-critical IT infrastructure in a 24/7 operational environment Strong understanding of IT networking, databases (SQL, Oracle), server (Windows, Linux), storage systems, and virtualization Familiarity with cybersecurity frameworks and regulatory compliance relevant to semiconductor manufacturing Excellent problem-solving, project management, and communication skills Ability to lead cross-functional teams and manage multiple priorities in a high-pressure environment Ability to work on-site full-time with occasional travel to other sites Ability to work in the United Kingdom without the need for visa sponsorship Desirable requirements: Knowledge of Industry 4.0 technologies and implementation experience ITIL or relevant technical certifications Prior experience in a Semiconductor Wafer Fab is a strong plus, but not essential What your benefits will include: Remuneration & Reward Base salary of £60,000-£90,000 (DOE), Annual Incentive Plan of up to 24% , excellent contributory pension scheme of up to 9% , Electric Vehicle Salary Sacrifice Scheme, recognition rewards scheme, income protection, 12 x salary life assurance, long term incentive plans (DOE) and more. Health & Wellbeing 33 days annual leave including bank holidays, flexible benefits scheme, enhanced sick pay, on-site medical centre, virtual GP benefit, subsidised canteen, employee assistance programme, retail and entertainment reductions, and a variety of sports and social clubs. Professional Development Possibility for funded academic support up to PhD level, employee goal setting and development plans, huge growth potential both internally and globally within the business, opportunity to contribute and work with cutting-edge technologies. Corporate Social Responsibility & Sustainability A global commitment to becoming carbon neutral by 2035, working with suppliers who embrace and comply with the Nexperia Supplier Code of Conduct, and paid time off for every employee to support charitable work. Diversity, Equity, and Inclusion Corporate members of Neurodiversity in Business and a Disability Confident Employer. Dedicated Employee Resource Groups for Neuroinclusion, the LGBTQ+ community, and Women in Nexperia, with a commitment to increase women in management positions to 30% by 2030. Be Part of Something Bigger.
Role Title: Data Scientist ML Engineer Duration: contract to run until 28/11/2025 Location: Birmingham/Sheffield, Hybrid 2-3 days onsite Rate: TBC Key Skills/ requirements Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling - proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like Splunk , PowerBi that help to visually encode data All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Sep 05, 2025
Contractor
Role Title: Data Scientist ML Engineer Duration: contract to run until 28/11/2025 Location: Birmingham/Sheffield, Hybrid 2-3 days onsite Rate: TBC Key Skills/ requirements Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling - proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like Splunk , PowerBi that help to visually encode data All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Contract Type: Outside IR35 Day Rate: 375 - 400 per day Senior LLM & Multi-Agent Systems Engineer Location: Flexible (UK or Europe preferred) Type: Permanent / Contract Industry: AI, NLP, and Applied Machine Learning We are seeking a highly experienced AI engineer with deep expertise in large language models (LLMs) , multi-agent systems , and emerging prompt and context engineering practices . The ideal candidate will be fluent in the latest industry developments, capable of recalling and applying detailed model specifications, and confident in designing, optimising, and deploying advanced LLM-based architectures for production use. You will work on building scalable, intelligent systems that leverage agentic workflows, advanced reasoning techniques, and multi-agent communication architectures , integrating them into robust, performant, and explainable AI pipelines. Key Responsibilities Architect and implement LLM-based systems with advanced reasoning capabilities, including context engineering, role-based prompting, and multi-agent orchestration. Select and integrate appropriate frameworks and tools (e.g. LangChain, LangGraph, AutoGen, CrewAI, Agno, Smallagons, OpenHands) for specific use cases. Design, optimise, and evaluate tokenisation, embedding, and vector store strategies - including trade-offs between embedding dimensions, indexing performance, and retrieval costs. Implement advanced multi-agent architectures for collaborative AI workflows, selecting the appropriate communication protocols and frameworks. Integrate reasoning methods (e.g. probabilistic reasoning, causal reasoning, knowledge graph integration) into LLM pipelines to improve reliability and explainability. Keep pace with the latest developments in LLM research, frameworks, and best practices, proactively applying them to ongoing projects. Work closely with product and engineering teams to align AI system design with business objectives. Conduct rigorous evaluation of LLM performance, context window trade-offs, and hallucination mitigation techniques. Essential Skills & Experience Proven track record designing and deploying production-grade LLM solutions . Expert understanding of context engineering and prompt design patterns for multi-modal, multi-agent environments. Strong knowledge of multi-agent frameworks (CrewAI, AutoGen, LangGraph, Agno, OpenHands, etc.) and when to use them. In-depth knowledge of tokenisation strategies (e.g. BPE, SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their performance implications. Familiarity with knowledge graphs (e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and retrieval-augmented generation (RAG) techniques. Comfort with rapid technical recall for industry benchmarks, model parameters, and framework capabilities.
Sep 05, 2025
Contractor
Contract Type: Outside IR35 Day Rate: 375 - 400 per day Senior LLM & Multi-Agent Systems Engineer Location: Flexible (UK or Europe preferred) Type: Permanent / Contract Industry: AI, NLP, and Applied Machine Learning We are seeking a highly experienced AI engineer with deep expertise in large language models (LLMs) , multi-agent systems , and emerging prompt and context engineering practices . The ideal candidate will be fluent in the latest industry developments, capable of recalling and applying detailed model specifications, and confident in designing, optimising, and deploying advanced LLM-based architectures for production use. You will work on building scalable, intelligent systems that leverage agentic workflows, advanced reasoning techniques, and multi-agent communication architectures , integrating them into robust, performant, and explainable AI pipelines. Key Responsibilities Architect and implement LLM-based systems with advanced reasoning capabilities, including context engineering, role-based prompting, and multi-agent orchestration. Select and integrate appropriate frameworks and tools (e.g. LangChain, LangGraph, AutoGen, CrewAI, Agno, Smallagons, OpenHands) for specific use cases. Design, optimise, and evaluate tokenisation, embedding, and vector store strategies - including trade-offs between embedding dimensions, indexing performance, and retrieval costs. Implement advanced multi-agent architectures for collaborative AI workflows, selecting the appropriate communication protocols and frameworks. Integrate reasoning methods (e.g. probabilistic reasoning, causal reasoning, knowledge graph integration) into LLM pipelines to improve reliability and explainability. Keep pace with the latest developments in LLM research, frameworks, and best practices, proactively applying them to ongoing projects. Work closely with product and engineering teams to align AI system design with business objectives. Conduct rigorous evaluation of LLM performance, context window trade-offs, and hallucination mitigation techniques. Essential Skills & Experience Proven track record designing and deploying production-grade LLM solutions . Expert understanding of context engineering and prompt design patterns for multi-modal, multi-agent environments. Strong knowledge of multi-agent frameworks (CrewAI, AutoGen, LangGraph, Agno, OpenHands, etc.) and when to use them. In-depth knowledge of tokenisation strategies (e.g. BPE, SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their performance implications. Familiarity with knowledge graphs (e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and retrieval-augmented generation (RAG) techniques. Comfort with rapid technical recall for industry benchmarks, model parameters, and framework capabilities.
Backend Integration Developer Modern PHP, APIs, Cloud Hybrid: Two days in our client's Duxford office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing platform. By Wednesday, you could be writing a PHP 8.2 script to automate image processing for a new exhibition launch. Friday afternoon? Testing out an AI tool to help curators search archive materials faster. That s the reality of life as a Backend Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable developer to join a nationally respected cultural institution with an ambitious digital vision. You ll work on varied and meaningful projects; from API-driven integrations to AI experimentation - helping to shape a modern, secure, and scalable technology environment. You ll operate in a multi-platform environment: Windows is predominant, but production Linux systems are crucial to the role. Backend Integration Developer Key Skills what we re looking for You don t need to have Backend Integration Developer on your CV to be a great fit. If you ve worked in backend development, software engineering, or API management and you re confident with modern PHP and Linux we d love to hear from you. Essential: Strong skills in backend development and systems integration. Modern PHP (v8+) experience, ideally including PHP 8.2+ or above. Proficiency in Linux server environments, with Windows server familiarity. Experience developing and managing APIs. Familiarity with MySQL and at least one search platform such as Elasticsearch or SOLR. Knowledge of Git, version control, and CI/CD pipelines. Strong problem-solving skills and ability to work independently. Useful to have: Python and JavaScript (Node.js) for automation or backend logic. Experience with other OO programming languages. Familiarity with cloud platforms, especially Microsoft Azure. Containerisation tools such as Docker. Automation tools like Ansible. Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you ll be doing: As a Backend Integration Developer, you ll work across backend systems, APIs, and digital platforms to deliver seamless integrations, improve performance, and support new digital capabilities. This is a hands-on, varied role where you ll contribute ideas, explore new technologies, and make a visible impact. Develop, integrate, and maintain APIs across multiple platforms and services. Write and optimise backend code, with a focus on PHP and automation scripts. Support server infrastructure across Linux (production) and Windows (development and other services) environments. Improve deployment workflows, CI/CD pipelines, and automated testing. Contribute to AI-related projects and innovation initiatives. Enhance search functionality and digital content delivery. Collaborate with internal teams to deliver secure, high-performing solutions. Maintain clear technical documentation and troubleshooting guides. Why join? Work on high-profile, mission-driven projects that reach millions. Be part of preserving and sharing a legacy that spans generations, using technology to connect people with history in new and meaningful ways. Exposure to a wide tech stack, from PHP and Python to AI and cloud tools. Hybrid working pattern with a collaborative, supportive team. Strong focus on professional development and learning. Salary & Benefits: £50-60,000 (dependent on experience) 25 days annual leave (rising to 30 after 5 years) plus public holidays Exceptional pension contributions (16.7% 24.3%) Free access to partner museum exhibitions Enhanced parental benefits and family-friendly policies Cycle-to-work and season ticket loan schemes Healthcare membership options Ready to bring your backend and integration skills to an organisation with purpose? Apply now for a confidential conversation about this unique opportunity. Please note: Shortlisted candidates will receive the official job description later in the process. It will carry a different job title to the one advertised, but the scope and responsibilities remain exactly as described here.
Sep 05, 2025
Full time
Backend Integration Developer Modern PHP, APIs, Cloud Hybrid: Two days in our client's Duxford office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing platform. By Wednesday, you could be writing a PHP 8.2 script to automate image processing for a new exhibition launch. Friday afternoon? Testing out an AI tool to help curators search archive materials faster. That s the reality of life as a Backend Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable developer to join a nationally respected cultural institution with an ambitious digital vision. You ll work on varied and meaningful projects; from API-driven integrations to AI experimentation - helping to shape a modern, secure, and scalable technology environment. You ll operate in a multi-platform environment: Windows is predominant, but production Linux systems are crucial to the role. Backend Integration Developer Key Skills what we re looking for You don t need to have Backend Integration Developer on your CV to be a great fit. If you ve worked in backend development, software engineering, or API management and you re confident with modern PHP and Linux we d love to hear from you. Essential: Strong skills in backend development and systems integration. Modern PHP (v8+) experience, ideally including PHP 8.2+ or above. Proficiency in Linux server environments, with Windows server familiarity. Experience developing and managing APIs. Familiarity with MySQL and at least one search platform such as Elasticsearch or SOLR. Knowledge of Git, version control, and CI/CD pipelines. Strong problem-solving skills and ability to work independently. Useful to have: Python and JavaScript (Node.js) for automation or backend logic. Experience with other OO programming languages. Familiarity with cloud platforms, especially Microsoft Azure. Containerisation tools such as Docker. Automation tools like Ansible. Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you ll be doing: As a Backend Integration Developer, you ll work across backend systems, APIs, and digital platforms to deliver seamless integrations, improve performance, and support new digital capabilities. This is a hands-on, varied role where you ll contribute ideas, explore new technologies, and make a visible impact. Develop, integrate, and maintain APIs across multiple platforms and services. Write and optimise backend code, with a focus on PHP and automation scripts. Support server infrastructure across Linux (production) and Windows (development and other services) environments. Improve deployment workflows, CI/CD pipelines, and automated testing. Contribute to AI-related projects and innovation initiatives. Enhance search functionality and digital content delivery. Collaborate with internal teams to deliver secure, high-performing solutions. Maintain clear technical documentation and troubleshooting guides. Why join? Work on high-profile, mission-driven projects that reach millions. Be part of preserving and sharing a legacy that spans generations, using technology to connect people with history in new and meaningful ways. Exposure to a wide tech stack, from PHP and Python to AI and cloud tools. Hybrid working pattern with a collaborative, supportive team. Strong focus on professional development and learning. Salary & Benefits: £50-60,000 (dependent on experience) 25 days annual leave (rising to 30 after 5 years) plus public holidays Exceptional pension contributions (16.7% 24.3%) Free access to partner museum exhibitions Enhanced parental benefits and family-friendly policies Cycle-to-work and season ticket loan schemes Healthcare membership options Ready to bring your backend and integration skills to an organisation with purpose? Apply now for a confidential conversation about this unique opportunity. Please note: Shortlisted candidates will receive the official job description later in the process. It will carry a different job title to the one advertised, but the scope and responsibilities remain exactly as described here.
