26 to 36 of 36 Feature Engineering Jobs in England

aligned with its parent group 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 our client. 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 ...

Agentic AI/Multi-agent system design Expertise in: NLP, Computer Vision, and Conversational AI Model deployment (MLOps, APIs, cloud platforms) Data processing and feature engineering Expertise in source safing tools like Github/GitLab/Bitbuck Interviews are taking place next week, so if available and interested ...

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 ...

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 ...

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 ...

platforms. Google Cloud Expertise including: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, Cloud Storage, Vertex AI, Cloud Composer, Spanner Knowledge Graph & Semantic Modelling Data Engineering: ETL/ELT pipelines, Real-time streaming architectures, Event-driven platforms, Data observability and governance AI & Data Intelligence: RAG architectures, Vector databases, Embedding frameworks … Semantic search, Feature engineering, AI-ready data platforms Telecom Domain Experience Nice-to-Have Qualifications Experience with Digital Twin platforms Experience with Knowledge Graph implementations Data Mesh architectures LangChain, LangGraph and LlamaIndex Vertex AI and Gemini Vector databases (Pinecone, Weaviate, Milvus, Qdrant) Kubernetes and GKE Autonomous Network ...

work closely with colleagues across the business to grow the impact of ML and AI at Trainline. We're looking for a Machine Learning Engineering Manager to lead a team of 7 ML engineers and data engineers within our Core Experience pillar, which covers Search, Supply and Commerce. Your … systems, using orchestration harnesses such as LangGraph to design multi-step workflows, tool use and human-in-the-loop controlsMake evaluation a first-class engineering discipline for LLM and agent work. That means curated eval sets, LLM-as-judge and human review, tracing, regression testing of prompts and agents ...

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 ...