22 of 22 Permanent Feature Engineering Jobs in the UK excluding London

working across the full ML lifecycle—from design through to production—in a modern, AWS-based environment. You'll be part of an engineering and data team tackling projects like LLM development, intelligent automation, semantic search, and recommendation systems. There's real scope here to influence how MLOps … doing: Building and deploying ML models and LLM applications Fine-tuning large language models for specific use cases Working with prompt engineering and RAG systems Creating end-to-end ML pipelines—ingestion, feature engineering, deployment Developing LLM-powered tools: chatbots, automation, content generation Implementing MLOps practices: versioning ...

models (e.g., classical ML, deep learning, computer vision, NLP/LLMs, time‐series). Build robust training and evaluation pipelines, including data preprocessing, feature engineering, augmentation, and experiment tracking. Ensure Responsible AI practices: model robustness, safety, explainability (e.g., SHAP/LIME), bias assessment, and alignment with MOD/… least one area: deep neural networks, computer vision, or time‐series analytics. High‐quality technical documentation and stakeholder communication. Collaboration within cross‐functional engineering teams. Required Skills: Strong Python programming skills; proficiency with modern software engineering practices (testing, code quality, CI). Expertise in ML/DL algorithms ...

analytics while collaborating with cross-functional teams as part of the BTS Data & Analytics team. You will work closely with key stakeholders in Engineering, Product, GTM, and other groups to help build scalable data solutions that support key metrics, reporting, and insights. You will assist in ensuring teams have … learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams. Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions ...

advisory or product facing role Education A Bachelor or Master degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics or Engineering or Equivalent experience that shows you can deliver results Technical skills Core skills Strong Python and SQL, with clean, maintainable code Solid understanding … fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector databases such as FAISS, Pinecone ...

Responsibilities Develop, train, and evaluate machine learning models to solve real-world business problems. Support the full ML lifecycle—from data exploration and feature engineering to deployment and monitoring. Work with large datasets using modern data tooling and cloud platforms. Implement scalable ML pipelines and contribute to automation … initiatives. Collaborate with cross-functional teams to translate client requirements into technical solutions. Stay updated with the latest advancements in ML, AI, and data engineering practices. About You A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related STEM field. Strong ...

real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we want to hear from … TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance ...

excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. … real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect opportunity ...

will be responsible for designing, building, and maintaining data pipelines and infrastructure that enable the development and deployment of machine learning models and drive engineering excellence and collaborate closely with data scientists, and lead ML engineers, and software engineers to ensure data is clean, accessible, and optimised for large … systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data augmentation. Automation: Implement automation tools and frameworks (CI/CD) to streamline the deployment and monitoring of machine learning models ...

enhance regulation. Who we are looking for Smart Data Foundry (SDF) is hiring a Senior Data Scientist with deep experience in data exploration, feature engineering, data visualisation and expertise in developing statistical techniques to analyse data and help discover new insight. This role will report to the Chief ...

ability to gut them and work with them past just surface-level functionality. Experience with the full model development lifecycle, from data preprocessing and feature engineering to model validation. Degree in Computer Science, Machine Learning, Computational Chemistry, or equivalent industry experience. Nice To Haves Prior experience in computational ...

discovery and design of AI strategies, governance models and platform architectures aligned to business outcomes. • Design end-to-end AI solutions, including data ingestion, feature engineering, ML/GenAI models, MLOps and deployment. • Support pre-sales activity, including solution shaping, technical validation, demos and customer presentations. • Bridge multiple … Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability ...

Senior Data Scientist to take a leading role across a portfolio of technically demanding projects. You’ll operate end-to-end - shaping problem definitions, engineering data pipelines, developing advanced models, and ensuring outputs are robust, explainable and deployable in real-world settings. This is a hands-on role … impact. Key Responsibilities Translating complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. ...

collaborate closely with marketing and sales while ensuring we meet high standards for data privacy and compliance. Expect a wide variety of engineering challenges, including: Building and maintaining data pipelines using Python and SQL Developing internal tools and REST APIs Integrating with third-party APIs Feature engineering … someone who thrives in a dynamic, sometimes unstructured environment and enjoys full ownership of their work. What We're Looking For Essential Strong Python engineering experience Solid SQL skills Comfortable working autonomously in a fast-moving environment Bonus Points For Expertise with SQLAlchemy, scikit-learn, pandas, PostgreSQL Experience building ...

Qualifications and Experience PhD with at least 2 years of relevant experience, or MSc with at least 5 years of relevant experience, in biomedical engineering, health data science, machine learning, or a closely related field Strong understanding of cardiovascular diseases, clinical risk factors, and healthcare workflows Proven experience working … with real world healthcare data, including EHRs and wearable devices Expertise in handling missing data, outliers, and feature engineering in medical datasets Strong experience in time series analysis for physiological signals such as ECG or PPG Proficiency in Python for data analysis, hypothesis testing, and machine learning Experience ...

linked data science solutions. Working closely with data engineers to define data requirements and pipelines. Performing exploratory data analysis and recreating key business KPIs. Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards. Developing, deploying and maintaining machine learning models. Evaluating project impact through experimentation ...

extensive work experience in the related field. Good understanding of cardiovascular diseases, risk factors and clinical workflows. Expertise in handling missing data, outliers and feature engineering. Experience in processing Health data from various sources (EHR, Wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG). Skilled ...

ground up alongside experienced founders. The role You will: Build production-ready, pythonic data pipelines Create data models to organise raw behavioural data Support feature engineering for machine learning workflows Handle ETL processes and data ingestion across clients Identify and resolve data quality issues Work closely with senior … technical leadership What we're looking for Outstanding Python skills 4+ years in data engineering Experience with data cleansing and ETL pipelines Strong event-level/behavioural data experience Able to work independently and make smart technical decisions Nice to have: pandas/polars dbt Django or backend exposure ...

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 ...

Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams ...

Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams ...

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 ...

trading across venues and instruments. Collaborate on real-time risk, monitoring, and control infrastructure. Qualifications Education Postgraduate degree in Mathematics, Computer Science, Physics, or Engineering from a top university. Experience & Domain Knowledge 2–5 years of experience owning the full lifecycle of a trading strategy: idea generation → research → modelling … liquidity, and order-book dynamics. Experience in an HFT, proprietary trading, or systematic trading environment. Technical Skills Strong Python skills for research, modelling, data engineering, and production workflows. Applied ML/DL experience in real-time time-series prediction and feature engineering. Ability to write clean, reliable, performance ...