26 to 37 of 37 Feature Engineering Jobs in the UK excluding London

visualisations, making actionable and business focused recommendations for improvement. Work collaboratively within the team and share best practices. About You Masters+ in Statistics, Engineering, Mathematics or Computer Sciences. 3+ year's work experience in a Data Science role. Proven experience using Python and Deep Learning required. Experience with GenAI … dynamic environment. Communicate clearly and concisely to both technical and non-technical audience. Good understanding of machine learning models and data science process (feature engineering, modelling, etc.) required. Proficient in using code or analytical tools for modelling, visualisation, data manipulation and processing. Preferred Experience: Experience using API frameworks ...

coherent, 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 technical … patterns for AI-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 ...

research-only environment. You'll work on real business problems, build machine learning models that drive decision-making, and collaborate closely with engineering teams to see your work deployed and used at scale. What you'll be doing: Partnering with stakeholders to turn business challenges into Data Science solutions … looking for: Commercial experience as a Data Scientist Strong Python and SQL skills Hands-on experience building Machine Learning models Expertise in feature engineering, model evaluation and model selection Experience working with large datasets Exposure to Azure, AWS or GCP Strong stakeholder management and communication skills Experience taking ...

Data Science team of a large, established financial services business. The company has invested in its data platform and is building a dedicated ML Engineering capability to get more models into production. You'll work on real business problems, using large and varied datasets to develop models that … initial experimentation. You should be comfortable with: Python and common data science libraries. SQL and working with large datasets. Statistical modelling and machine learning. Feature engineering, model selection and evaluation. Writing clear, maintainable and testable code. Git-based development workflows. Working in a cloud environment such as Azure ...

risk of mental health problems prior to first contact with services. The role is highly collaborative and will involve close working with clinical, engineering, and operational colleagues across CADRE's partner institutions, as well as with academic and NHS co-investigators. Although employed by Cambridgeshire and Peterborough NHS Foundation … attached job description and person specification for full details of responsibilities. Working with data prepared and quality-assured by the CADRE data engineering team, the postholder will contribute to longitudinal analyses of the cohort, including: Describing the cohort at index event (first contact with health, education, or social care ...

come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments … scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo. What ...

driven choices made through the analysis of actuarial experience, profitability drivers, trends and capital requirements. Working alongside Actuarial, Data Science, Business Intelligence and Data Engineering teams, the position focuses on developing and enhancing analytical models, data processes and insights that help deliver scalable solutions and drive commercial value across … business. Key Actions Support the ownership, maintenance and continuous development of actuarial data assets, including feature engineering processes and experience analysis models used across the Life business Analyse lapse, claims, retention and business mix experience to identify trends, monitor performance and provide insights that support strategic decision making ...

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 ...

typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work.Your team … code quality and deployments.Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation.Actively define and evolve PA’s data engineering standards and practices, ensuring we maintain a shared, modern and robust approach.Lead and influence technical discussions with client stakeholders to achieve the collective ...

technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards.You will contribute to the strategic … governance and compliance framework.This is a highly hands‐on, highly technical, principal‐level role that combines architectural vision with deep practical expertise in ML engineering and AWS-native MLOps.Key ResponsibilitiesTechnical Leadership & ArchitectureDefine the end‐to‐end ML architecture for the matching platform, including data pipelines, model training workflows, inference ...

domain.Demonstrated expertise in developing and implementing machine learning modelsProgramming skills in languages, tools and frameworks commonly used in data scienceExperience in data preprocessing and feature engineeringComputer science skills to support the overall development of the data science serviceFluent EnglishUK Driving LicenceYou're comfortable working well in teams or independently ...

uplift modelling capabilities across the team. Key Skills (Essential): To excel in this role, you should possess: Python Expertise: Strong experience in model development, feature engineering, and statistical modelling. SQL Proficiency: Confident in extracting and transforming large datasets effectively. Credit-Risk Modelling Experience: Proven track record in building ...