7 of 7 Remote/Hybrid Feature Engineering Jobs in the North of England

classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes Mentoring junior team members and contributing to solution architecture, Preparing and presenting analytical results ...

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 ...

team in Sheffield This role is hands on and suited to someone who can lead by example partner with stakeholders and help shape engineering standards while delivering high-quality software at pace Hybrid working: The places that you work from day to day will vary according to your role … client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Senior full stack engineering capability with a strong frontend foundation ReactJS and TypeScript Strong backend engineering mindset API design integration performance security AIML engineering skills building ...

Requirements Essential Skills Data Science & Data Analytics Data Visualisation & Power BI, including AI-enabled Conversational Insights Data Product Development Exploratory Data Analysis (EDA) & Feature Engineering Model Development & Selection Model Validation & Governance Model Productionisation & Monitoring End-to-End Data Science Model Lifecycle Management Analytics Integration into Business Workflows & Operational … Strong interest in investor behavior, client journeys, and how clients make investment decisions is beneficial. Exposure to AI-enabled solutions, Generative AI, or AI Engineering concepts is an advantage but not a core requirement. Due to the volume of applications received, unfortunately we cannot respond to everyone. ...

solutions from exploration to deployment, turning insights into production-ready models for international clients. You will collaborate with diverse teams, handle data cleaning, feature engineering, and model validation, and contribute to cross-functional projects across US and Europe. #J-18808-Ljbffr ...

science expertise with data storytelling, building Power BI dashboards and driving analytics across business workflows. The role requires data science, analytics, Power BI, EDA, feature engineering, and end-to-end lifecycle management. #J-18808-Ljbffr ...

Data Science and Data Analytics. Advanced Power BI dashboard development and data visualisation. Experience with AI-enabled conversational insights. Exploratory Data Analysis (EDA) and feature engineering. Model development, selection and validation. Model governance, productionisation and monitoring. Experience managing the full end-to-end data science lifecycle. Ability to translate … analysis into actionable business insights. Experience within Wealth Management, Asset Management, Banking or FinTech would be highly advantageous. Exposure to Generative AI or AI Engineering is also beneficial. Contract: 12 months Location: Manchester Working Pattern: Hybrid - Tuesday, Wednesday and Thursday in the office. For more information or to apply ...