26 to 37 of 37 Feature Engineering Jobs in the UK

topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring ...

topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring ...

topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring ...

Function focused on embedding AI into the core of how products are designed, engineered, delivered, and supported. This is not a traditional 'AI feature engineering' role. You'll help shape AI-native ways of working across the business - designing agentic workflows, integrations, and orchestration layers that connect teams … systems, and stages of the product lifecycle. The focus is on building intelligent systems that reduce friction, surface context, automate workflows, and improve how engineering, QA, delivery, sales, and product teams operate together. What you'll be doing: Designing and building agentic AI workflows across multiple business functions Building ...

Must-haves 3+ years experience in data science Strong Python and SQL skills Experience building and evaluating predictive models Understanding of data modelling and feature engineering Ability to translate data into clear commercial insight and recommendations Confident communicator - comfortable working directly with clients Consultancy or client-facing experience ...

Must-haves 3+ years experience in data science Strong Python and SQL skills Experience building and evaluating predictive models Understanding of data modelling and feature engineering Ability to translate data into clear commercial insight and recommendations Confident communicator - comfortable working directly with clients Consultancy or client-facing experience ...

ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models … using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift, and retraining Drive clear documentation, traceability, and governance appropriate for a regulated environment This role requires someone ...

model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/models: Optimize data workflows ...

architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and loaddata from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems intocentralized data platforms. Performance Tuning of AI/models: Optimize data workflows ...

experimentation strategy for the product area — designing A/B tests and multi-armed bandit experiments that generate genuine learning about AI feature performance, not just validate existing assumptions Drive the feedback loop strategy — defining how member behaviour is captured, modelled, and fed back into AI ranking systems … context, using results to change direction rather than confirm instinct Technically credible AI and ML fluency — able to read a model card, challenge a feature engineering decision, write testable acceptance criteria for ML features, and explain confidence intervals to non-technical stakeholders, without overstepping into engineering decisions ...

into data, surface anomalies, communicate findings frequently, and drive actions across teams. Good to have FinTech/payments and Fraud experience. Experience with feature engineering and model monitoring. Familiarity with Airflow/DBT/Git/Snowflake and production data platforms. If you care about protecting customers ...

Function focused on embedding AI into the core of how products are designed, engineered, delivered, and supported. This is not a traditional 'AI feature engineering' role click apply for full job details ...