26 to 46 of 46 Feature Engineering Jobs in the UK

relevance. Build production-ready Python code and integrate models into user-facing applications. Monitor and refine model performance post-deployment, making improvements based on feedback. Collaborate with product and engineering teams to deliver solutions aligned with business goals. Role Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python … core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions. Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that More ❯

help develop advanced machine learning models that predict and prevent equipment failures in large-scale industrial operations. This is an exciting opportunity to apply data science to real-world engineering challenges , using rich, high-frequency data from complex machinery. Their AI-driven predictive maintenance platform is built on years of operational data and designed to help clients reduce downtime … maintenance strategies. Develop and maintain data pipelines using tools like Apache Airflow for efficient workflows. Use MLflow for experiment tracking, model versioning, and deployment management. Contribute to data cleaning, feature engineering, and model evaluation processes. Collaborate with engineers and data teams to better understand equipment behavior and enhance model performance. What We're Looking For A Bachelor's … degree in Computer Science, Mathematics, Electrical Engineering, or a related field. Strong experience with Python and data science libraries (Pandas, Scikit-learn, etc.). Solid understanding of machine learning concepts and algorithms . Interest in working with real-world industrial or sensor data . Exposure to Apache Airflow and/or MLflow (through coursework or experience) is a plus. More ❯

will help shape our Data & Productivity capability—designing, training, and deploying models with MLflow/AutoML, and integrating them into real business processes. You'll collaborate across disciplines (Data Engineering, Security, Product) and work with services such as Azure Storage, Azure DevOps/GitHub Actions, and Fabric/Power BI to ensure solutions are observable, governed, and production-ready. … AI lifecycle. Experienced in designing, training, registering, and deploying models using Azure Machine Learning (AML), AutoML, and MLflow. Proficient in Python, pandas, and scikit-learn for data science and feature engineering, with a strong focus on rigorous validation and experiment tracking. Skilled in deploying models to real-time REST endpoints and orchestrating batch inference pipelines. Capable of implementing … MLOps practices including CI/CD pipelines, model registry, environment management, and promotion across dev/test/prod stages. Solid understanding of cloud and data engineering principles including storage, compute, and pipeline orchestration. Strong ability to collaborate with subject matter experts to map current-state business processes and translate them into machine learning opportunities with measurable operational impact. More ❯

science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid … and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid … and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid … and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid … and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid … and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid … and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills and a collaborative approach Why Apply? Work on mission-critical UK Government More ❯

experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills and a collaborative approach Why Apply? Work on mission-critical UK Government More ❯

ethical deployment of AI technologies, ensuring strict adherence to data privacy standards and regulations. What we are looking for: A university degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. Proven experience in designing, developing, and deploying machine learning models and AI algorithms. Strong proficiency in programming languages such as Python, R, or Java. Solid … understanding of data processing, feature engineering, and data analytics. Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers. Strong problem-solving skills with attention to detail and the ability to handle complex datasets. Knowledge of data privacy standards, ethical AI practices, and regulatory compliance. Why you will love working with us Competitive More ❯

problems. Work with large scale datasets to extract insights and drive decision making. Collaborate with cross functional teams and external stakeholders to understand requirements and deliver impactful solutions. Apply feature engineering and data transformation techniques to enhance model performance. Communicate complex technical concepts clearly to non technical audiences. What we expect from you: Proficiency in Python and PySpark. … Proven understanding of statistical modelling and data confidence. Hands on experience with machine learning techniques such as classification and regression. Solid foundation in data engineering and reporting. Proven ability to manage and analyse large datasets in accordance with big data best practices. Strong stakeholder management and communication skills. Commercial acumen and ability to translate data insights into business value. More ❯

with cutting-edge digital solutions. Know more about us: Key Responsibilities Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction Optimize models through feature engineering and A/B testing Deploy real-time decision algorithms supporting global business Minimum Qualifications Master's in ML/Stats/CS (exceptional Bachelor's considered More ❯

with cutting-edge digital solutions. Know more about us: Key Responsibilities Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction Optimize models through feature engineering and A/B testing Deploy real-time decision algorithms supporting global business Minimum Qualifications Master's in ML/Stats/CS (exceptional Bachelor's considered More ❯

machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge More ❯

machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge More ❯

or a related field. Proficiency in programming languages such as Python, R, or similar, along with experience with machine learning frameworks. Strong understanding of statistical analysis, data processing, and feature engineering. Experience of working in a Consultancy and being client-facing is beneficial Security Clearance is required for this vacancy. Candidates will need to have DV Clearance. Reasonable Adjustments More ❯

Retail or similar industries with a proven track record of delivering effective business solutions.Experience in application of ML concepts and methodologies (particularly time series modeling, but also regression, classification, feature engineering and selection etc.)Proficiency in SAS, SQL, Python, and other programming languages to communicate effectively with technical teams. Excellent communication and presentation skills, ability to explain complex More ❯

talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. What you'll do Develop … and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test … and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Experience working with Open Banking or Credit Bureau data. Experience working with More ❯