1 to 25 of 147 Permanent Feature Engineering Jobs in the UK excluding London

delivering successful, production‐scale machine learning solutions (ideally on AWS SageMaker). You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large‐scale matching platform. This is a hands‐on lead role requiring recent expertise in building, deploying … success designing and delivering enterprise‐scale ML platforms and products (ideally using AWS SageMaker). Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement. Experience building reliable, low‐latency inference services and operating ML workloads at scale. Proven ...

production environments. Key Responsibilities Design, develop, and optimise machine learning models for personalisation and recommendation use cases. Build and maintain scalable data pipelines for feature engineering, model training, and inference. Deploy, monitor, and improve ML models in production environments. Develop recommendation engines, ranking models, and user segmentation solutions. … Design and analyse A/B tests and offline experiments to measure model effectiveness. Work closely with Product, Engineering, Data, and Business teams to deliver impactful solutions. Research and evaluate emerging machine learning and deep learning techniques. Ensure models remain reliable, scalable, and aligned with business objectives. Required Skills ...

science tools. Work closely with the Senior Data Architect and Development Team to ensure seamless integration of analytics reporting and models. Data Wrangling, EDA & Feature Engineering: Ensure the quality of data used for model development through meticulous data checking and cleaning practices. Process and transform raw, unstructured data … with demonstrable data science experience. Experience in the fundamentals of data science, including but not limited to: Data visualisation Exploratory Data Analysis Data Wrangling Feature Engineering Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled in advanced ...

systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you’ll take models from idea through to serving at scale, working in Spark, Python, and Java. … automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work ...

full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do. What … development and deployment of machine learning models and analytical solutions , from data exploration through to production. Making day-to-day technical decisions on feature engineering, model selection, analytical techniques and data requirements within agreed team standards. Resolving technical challenges during model development and deployment, seeking guidance from ...

full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do.**What … development and deployment of machine learning models and analytical solutions**, from data exploration through to production.- **Making day-to-day technical decisions** on feature engineering, model selection, analytical techniques and data requirements within agreed team standards.- **Resolving technical challenges** during model development and deployment, seeking guidance from ...

sector partners. This post will work particularly closely with a complementary PDRA at Southampton, whose research will focus more strongly on clinically informed acoustic feature engineering, while the Sheffield post has a stronger machine learning and representation learning focus. The role offers opportunities for high-quality publications, open … methods that improve trustworthy and equitable model performance. Contribute to clinically informed acoustic modelling, working closely with the Southampton PDRA, who will lead complementary feature‐engineering research; investigate how engineered physiological features can be combined with learned representations from the Sheffield machine‐learning work. Collaborate with project researchers ...

sector partners. This post will work particularly closely with a complementary PDRA at Southampton, whose research will focus more strongly on clinically informed acoustic feature engineering, while the Sheffield post has a stronger machine learning and representation learning focus. The role offers opportunities for high-quality publications, open … methods that improve trustworthy and equitable model performance. Contribute to clinically informed acoustic modelling, working closely with the Southampton PDRA, who will lead complementary feature-engineering research; investigate how engineered physiological features can be combined with learned representations from the Sheffield machine-learning work. Collaborate with project researchers ...

that makes you unique is welcome; join us and let's build what's next - together! About the Role: The AVP, Data, Analytics & AI Engineering is the executive leader responsible for the strategic vision, architecture, development, and scaling of our enterprise data platforms and AI solutions. This individual will … secure intelligence frameworks that drive automation and strategic decision-making across the entire company. The role bridges the gap between modern cloud data stack engineering and emerging AI paradigms (like LLMOps and Agentic workflows). This individual will ensure that Anaplan engineering standards drive direct, measurable business value ...

experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing and experimentation to improve model performance Collaborate with cross … solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation Python/ML Frameworks Large-scale Structured & Unstructured Data To be Considered: Please either apply ...

across health and safety, sustainability and ethical behaviour. As a Data Scientist, you'll join a growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications … Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely with Engineering and Product teams in a collaborative Agile environment, turning complex data and technology into solutions that deliver tangible business value. The role will include ...

work alongside a talented group of engineers and scientists supporting the industrialisation of Li-ion batteries and cells. Reporting to the Head of Product Engineering this position will support the capture and analysis of data generated from the production and test of UKBIC baseline and customer products. The purpose … quality data across its facilities and is developing the associated data pipelines into Siemens Insights Hub. This role will act as the Product Engineering owner and internal customer for analytics capability development, working closely with the Data Engineer and Manufacturing Systems Integration Engineer to define data structures, traceability requirements ...

26013776Posted: 2026-09-14Location: BURGESS HILL, WEST SUSSEX, United KingdomJob Function: Engineering & ArchitectureSchedule: Full timeShift: DayWorkplace: HybridCareer Area: TechnologyCompany: American ExpressDescriptionYou Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team … intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You'll collaborate with engineering, product, data, security, risk, and business partners to help deliver enterprise AI solutions responsibly, reliably, and securely. ResponsibilitiesResponsibilities & What Type of Work to ExpectSupport ...

seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. Youll collaborate with product, engineering, and business teams to transform data into actionable insights and high … models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams to integrate models ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. In this role, you will lead … development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices across the team, and help foster a collaborative, data-driven culture within the organisation. Lead the development ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. In this role, you will lead … development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices across the team, and help foster a collaborative, data-driven culture within the organisation. Lead the development ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. In this role, you will lead … development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices across the team, and help foster a collaborative, data-driven culture within the organisation. Lead the development ...