22 of 22 Permanent Feature Engineering Jobs in the UK excluding London

choose us? BRUSH Group provides the energy solutions that help power our built world . From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development … analytical expertise with strong commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement—and will be accountable for demonstrating measurable operational or commercial value. The role ...

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 ...

integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices … quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working ...

high-scale production systems. You will partner closely with the Head of Data Science to harden existing production models, build reliable data and feature pipelines, and own the full MLOps lifecycle from deployment through to monitoring, incident response and continuous improvement. Alongside delivery, you will establish observability standards, lead … Responsibilities Scale and harden existing deep learning models from R&D into reliable, observable production systems Build and maintain reproducible pipelines for training data, feature generation and embeddings Own reliability, monitoring and incident response for ML models and agents in production, including CI/CD, versioning, canary deployment ...

approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert on advanced AI research used … groups to ensure research outputs are trustworthy, human-centred, explainable and suitable for future operational use. Build reproducible research pipelines, including data preprocessing, feature engineering, model training, experiment tracking, evaluation and technical reporting. Ensure Responsible AI practices are embedded throughout the research lifecycle, including robustness, safety, explainability, transparency ...

Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring Partner with Product, Engineering, and commercial teams to deliver scalable analytical solutions Translate complex findings into … with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations ...

colleagues, so this role suits someone with a varied background who enjoys rolling up their sleeves, whether that means data wrangling, statistical analysis, pipeline engineering or production troubleshooting. You will also bring a pragmatic, delivery-focused mindset: knowing when something is good enough to ship and when it needs … further refinement. Key Responsibilities Build and train ML models hands-on, from exploratory analysis and feature engineering through to validated, production-ready solutions Design and maintain reliable, reproducible pipelines for training data, feature generation and embeddings Develop evaluation frameworks and metrics for LLM and agent-based systems ...

logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling ...

experience building data science solutions in Python and working with data in SQL Experience across the full data science lifecycle, including problem framing, feature engineering, model evaluation, implementation and monitoring Power BI experience, including data modelling, DAX, visualisation design and dashboard performance Strong analytical problem-solving, with ...

develop, deploy, and optimise machine learning models that drive business outcomes. Key Responsibilities Design, build, and deploy machine learning models. Develop scalable data and feature engineering pipelines. Optimise model performance and production readiness. Work with large datasets to solve complex business challenges. Collaborate with Data Scientists, Engineers … skills. Experience building and deploying ML models in production. Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch). Data engineering and pipeline development experience. Cloud experience (AWS, Azure, or GCP). Strong understanding of software engineering best practices. Experience working in agile environments. Contract ...

hear from you. Benefits of the programme: Earn a salary while studying for your qualification Gain hands-on experience in a real AI and engineering environment Receive job-specific training and development Achieve a recognised Level 6 qualification Secure a permanent role from the start of your apprenticeship Have … knowledge, practical skills and professional behaviours needed to design, build, test and deploy dependable AI-enabled solutions. Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into ...

hear from you. Benefits of the programme: Earn a salary while studying for your qualification Gain hands-on experience in a real AI and engineering environment Receive job-specific training and development Achieve a recognised Level 6 qualification Secure a permanent role from the start of your apprenticeship Have … knowledge, practical skills and professional behaviours needed to design, build, test and deploy dependable AI-enabled solutions. Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into ...

scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring … driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape ...

business objectives Building prototypes and proof-of-concepts using Databricks and modern data platforms Translating business requirements into technical product specifications Designing data structures, feature sets, scoring methodologies, and model outputs Evaluating emerging AI technologies and analytical techniques for commercial application Supporting the launch and performance optimisation of data … predictive models, machine learning solutions, or advanced analytics products Ability to work with large-scale transactional, behavioural, or marketing datasets Understanding of data modelling, feature engineering, and analytical best practices Experience using Databricks or similar modern analytics platforms Knowledge of cloud-based data environments, ideally within Azure ecosystems ...

analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you'll influence architecture, engineering approaches and the delivery of high-impact data capabilities. What You'll Be Doing Designing and developing modern data platforms and pipelines Building scalable … across data services Working closely with clients and multidisciplinary teams to solve complex data challenges What We're Looking For Commercial experience delivering Data Engineering solutions Strong Python and SQL skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines ...

with common ML/data science frameworks. Experience developing models for threat detection and anomaly detection . Experience with security risk analytics . Strong feature engineering experience. Experience working with cyber security data, logs or telemetry . Experience working with threat intelligence data . Experience with graph analytics … cloud AI certification. CISSP, Security+ or equivalent security certification. Graph technology certification. Data platform certification. Experience working directly with security analysts and cyber security engineering teams. Experience supporting responsible AI adoption within security operations. ...

lending lifecycle. Key responsibilities include: Leading end-to-end validation of credit risk, machine learning and decisioning models Assessing model methodology, assumptions, data quality, feature engineering and target definitions Evaluating model performance, calibration, stability and robustness across different portfolios and customer segments Designing and maintaining model calibration ...

closely with data acquisition and commercial teams to assess potential data investments. Applying techniques such as time series analysis, correlation analysis, hypothesis testing, and feature engineering. Identifying new opportunities to create valuable data products and customer insights. Managing and developing members of the Data Research team while raising technical … Proven experience evaluating, validating, and extracting value from new and unstructured datasets. Strong Python skills and a solid statistical background. Experience with data discovery, feature engineering, and transforming messy datasets into scalable analytical assets. Demonstrable experience leading open-ended research projects from concept through to business recommendation. Experience ...

working with large-scale customer, transactional, behavioural, or marketing datasets Understanding of machine learning techniques and analytical product development Knowledge of data modelling and feature engineering principles Ability to communicate complex analytical concepts to non-technical audiences Experience working directly with clients or customer-facing stakeholders Strong problem ...

with Data Scientists and wider technology teams to productionise models. Develop high quality Python code and support CI/CD processes. Create and optimise feature engineering and data preparation workflows. Monitor model performance and ensure ongoing reliability. Produce clear technical documentation and knowledge sharing materials. Engage with technical … learning solutions into production environments. Understanding of data processing, transformation and pipeline development. Experience building and maintaining end to end ML workflows. Solid software engineering and coding best practices. Exposure to modern AI and deep learning approaches including NLP and large language model related technologies. Reasonable Adjustments: Respect ...

doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring frameworks and performance dashboards Explore new data sources, challenger models and A/B testing to improve ...

Build data solutions for complex Defence challenges while broadening your technical experience across varied consultancy projects. Develop your skills across modern data engineering technologies and production environments. What you will need Hands-on data engineering experience. Strong SQL and Python programming skills. Experience building production data pipelines. Understanding … varied Defence consultancy projects with different technical challenges. Your experience Strong experience working with SQL and large datasets. Python programming and sound software engineering practices. Exposure to Spark, Databricks, AWS, Azure or Google Cloud Platform. Experience with data orchestration tools such as Airflow. Understanding of data modelling, data quality ...