12 of 12 Feature Engineering Jobs in the North of England

sector partners. This post will work particularly closely with a complementary PDRA at Southampton, whose research will focus more strongly on clinically informed acoustic feature engineering, while the Sheffield post has a stronger machine learning and representation learning focus. The role offers opportunities for high-quality publications, open … methods that improve trustworthy and equitable model performance. Contribute to clinically informed acoustic modelling, working closely with the Southampton PDRA, who will lead complementary feature‐engineering research; investigate how engineered physiological features can be combined with learned representations from the Sheffield machine‐learning work. Collaborate with project researchers ...

sector partners. This post will work particularly closely with a complementary PDRA at Southampton, whose research will focus more strongly on clinically informed acoustic feature engineering, while the Sheffield post has a stronger machine learning and representation learning focus. The role offers opportunities for high-quality publications, open … methods that improve trustworthy and equitable model performance. Contribute to clinically informed acoustic modelling, working closely with the Southampton PDRA, who will lead complementary feature-engineering research; investigate how engineered physiological features can be combined with learned representations from the Sheffield machine-learning work. Collaborate with project researchers ...

that makes you unique is welcome; join us and let's build what's next - together! About the Role: The AVP, Data, Analytics & AI Engineering is the executive leader responsible for the strategic vision, architecture, development, and scaling of our enterprise data platforms and AI solutions. This individual will … secure intelligence frameworks that drive automation and strategic decision-making across the entire company. The role bridges the gap between modern cloud data stack engineering and emerging AI paradigms (like LLMOps and Agentic workflows). This individual will ensure that Anaplan engineering standards drive direct, measurable business value ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success … ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base … practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). ...

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 ...

help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Data Engineer to join our Engineering team . This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure, operations and security. Fueled … What you’ll do Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. Leading the way in data transformation by setting up best practices in areas like ...

Frontend (BFF) layers, and core Java backend services; proficiency across all areas is expected, with skill distribution balanced across the team. Key Responsibilities Feature Engineering: Design and enhance user-facing features on web and mobile applications using modern frontend platforms alongside Agentic AI techniques, leveraging tools like Claude … ceremonies, address technical debt, and collaborate within multi-team setups to meet project milestones efficiently. Qualifications & Requirements Bachelor's degree in Computer Science, Software Engineering, a related technical discipline, or equivalent practical background (e.g., reputable coding bootcamp completion). 3+ years of professional full-stack, frontend, or backend development ...

lifetime value Use experimentation, analytics and owner feedback to drive decision-making Improve service delivery across Forge platforms, integrations and ecosystems Partner with Product, Engineering, Data Science, Commercial and Customer Success teams Identify opportunities to create scalable, revenue-generating managed services Monitor service quality, adoption and owner experience performance … expertise Experience building and scaling service-based, marketplace or B2B2C products Strong commercial acumen and data-driven decision-making skills Experience working closely with Engineering, Data and cross-functional teams Excellent stakeholder management, communication and influencing skills Understanding of APIs, integrations and service-based architectures Experience using AI-powered ...