51 to 75 of 203 Feature Engineering Jobs in the UK

serving, and generative AI applications across product and operations. Lead the design of a modern data platform built for AI workloads, including vector stores, feature stores, and infrastructure that supports LLM integration and AI-powered analytics. Partner with Product, Engineering, and Data Science teams to define data models … ensure high-quality, reliable data delivery across the organization. Define and enforce data and software engineering best practices, including version control, data quality standards, documentation, and testing frameworks. Mentor and coach junior and mid-level data engineers, fostering a culture of technical excellence and continuous growth. Evaluate, adopt ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies Develop and maintain complex data … pipelines, including data ingestion, feature engineering, validation, and quality monitoring Translate research prototypes and novel ideas into performant, well-tested, production-ready code Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle Supervise, understand, and remediate subtle data quality issues across both research ...

other project and practice data, translating technical capability into tools and workflows that practitioners can use. This is a digitally transformative, hands‐on engineering role focused on building, deploying, maintaining, and optimizing machine learning systems and data pipelines, working with large‐scale datasets to power production‐ready intelligent systems … internal applications, dashboards, and Gensler IP. Own the production ML lifecycle on Azure — deployment, monitoring, versioning, retraining, rollback, and incident response — including model registries, feature stores, evaluation frameworks, and benchmarking. Implement CI/CD, testing, reproducibility, and deployment standards for model and data workflows. Extend and mature cloud data ...

will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. ResponsibilitiesPartner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategiesDevelop and maintain complex data pipelines, including … data ingestion, feature engineering, validation, and quality monitoringTranslate research prototypes and novel ideas into performant, well-tested, production-ready codeBuild extensible tools and frameworks that accelerate the model development and experimentation lifecycleSupervise, understand, and remediate subtle data quality issues across both research and production environmentsProactively lead projects from ...

Machine Learning Engineer (Mid to Principal) Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Greg Daly Compensation: £50,000 - £95,000/year We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise … protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 200 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe’s fastest-growing engineering businesses. About the role ...

Analysis: Develop, train and evaluate models using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns … statistical techniques. Comfortable working with probabilistic models, uncertainty estimation and Bayesian inference. Model Development: Understanding of the full model training pipeline, including data preparation, feature selection, model selection and model validation. Experience: Hands-on experience building and evaluating models in a data science or quantitative context. Python & SQL: Comfortable ...

with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize our operations, refine our marketing efforts, and enhance the customer experience. You will not only build … powerful models but also help uphold the engineering rigor and standards of our data team. You Will: Build from Scratch: Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ...

products. These capabilities will support R&D products, AI applications, client intelligence and firm-wide decision support. This is a hands-on hybrid data-engineering and applied-data-science role, with particular responsibility for building data products in Microsoft Fabric and Databricks. You will work with Data Programme colleagues … data assets using agreed patterns, without duplicating enterprise platform responsibilities. You will join a small, hands-on multidisciplinary team working collaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. Key Responsibilities Partner with the Data Programme, data owners and system teams to assess, access and combine priority internal ...

offer . About the role: Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How we work … securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. System Design & Operation: Proven experience designing and operating CI/ ...

offer . About the role: Join us as a Senior Full-Stack Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. The Account Integrity … securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large ...

roadmaps, align on requirements, and deliver data‐led transformations Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management Provide technical leadership and mentorship through code reviews, design … reviews, best practices, and upskilling across data science and engineering partners Communicate with technical and non‐technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans Maintain strong documentation for approaches, model cards, runbooks, and operational procedures Required Qualifications, Capabilities, and Skills Master’s degree in a quantitative ...

roadmaps, align on requirements, and deliver data-led transformations Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management Provide technical leadership and mentorship through code reviews, design … reviews, best practices, and upskilling across data science and engineering partners Communicate with technical and non-technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans Maintain strong documentation for approaches, model cards, runbooks, and operational procedures Required Qualifications, Capabilities, and Skills Master’s degree in a quantitative ...

offer. Job DescriptionAbout the role: Join us as a Senior Full-Stack Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. The Account Integrity … securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large ...

models (predictive, classification, recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams to translate analytical results into actionable insights, Qualifications We don’t expect ...

complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

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 the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products … uses these insights to drive improvements to coding hygiene and system architecture Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem ...

distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About You5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. Deep understanding … Bayesian statistics, plus supervised and unsupervised modelling techniques. Proven experience modelling complex interactions (e.g., cluster or network effects).Expertise in model explainability to tune feature engineering and understand feature interactions. Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders. Proficient ...

level of experience and qualifications by reading the full overview of this opportunity below. You’ll be central to delivering a robust, high-performing engineering foundation that powers analytics, operational data flows, and future AI capabilities across our global events and digital products. This role is primarily focused … engineering excellence, developing high-quality pipelines, modelling data in line with our Medallion Architecture, and ensuring our Databricks platform is secure, governed, and production ready. Key Responsibilities Design, build, and optimise scalable data pipelines using Databricks, Delta Live Tables, Synapse, and Delta Lake. Develop ingestion, transformation, and orchestration workflows ...