14 of 14 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 ...

/ML and data-driven solutions. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Deploy models … e.g., AWS, GCP, Azure) is desirable. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. Diversity, Inclusion and Wellbeing Tata ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...