1 to 25 of 39 Permanent Feature Engineering Jobs in the UK excluding London

Data & Defence Engineering Roles Engineer to Managing Consultant | Defence, National Security & Critical Infrastructure London, Newcastle, Manchester, Glasgow We are supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics solutions across Defence, National Security, and critical government programmes. The focus … Consultant levels. All roles remain technically hands-on, with scope for leadership depending on experience. The Role You will work as part of multidisciplinary engineering teams delivering AI, data platforms, and analytics solutions in secure environments. Depending on level, you will either contribute directly to engineering delivery ...

this role, you will take ownership of complex models and pipelines, influence technical direction, and mentor less experienced team members while working closely with engineering and product teams. What You'll Do Design, build, and deploy scalable ML and AI solutions for production environments. Lead model development, evaluation … frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience working with LLMs, NLP, computer vision, or recommendation systems. Solid understanding of data pipelines, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, or GCP) and ML deployment strategies. Strong communication skills and experience mentoring or leading ...

this role, you will take ownership of complex models and pipelines, influence technical direction, and mentor less experienced team members while working closely with engineering and product teams. What You'll Do Design, build, and deploy scalable ML and AI solutions for production environments. Lead model development, evaluation … frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience working with LLMs, NLP, computer vision, or recommendation systems. Solid understanding of data pipelines, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, or GCP) and ML deployment strategies. Strong communication skills and experience mentoring or leading ...

annum Job Type: Full-time, Permanent About The Role We are looking for a talented and motivated Graduate AI Engineer to join our growing engineering team in Cambridge. This is an excellent opportunity for a recent graduate to work on real-world AI and machine learning problems, contributing … driven solutions while developing your technical and professional skills. Key Responsibilities Design, develop, and implement machine learning and AI models Assist in data preparation, feature engineering, and model evaluation Write clean, maintainable, and well-documented code Deploy and monitor models in production environments Collaborate with cross-functional teams ...

Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems. Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets. Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python ...

frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. •Knowledge of cloud architecture, data engineering, and security best practices. •Design and implement ML pipelines on Azure Machine Learning. •Own end-to-end model lifecycle: data ingestion, feature engineering ...

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 ...

Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience in ML/AI (feature engineering, MLOps, model monitoring), automation frameworks (RPA/BPM/runbooks), and security/compliance. Proven leadership in large-scale digital transformation, operating ...

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 ...

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 ...

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 ...

scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise … correction. Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning. Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data. System Observability & Reliability: Implement evaluation ...

scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise … correction. Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning. Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data. System Observability & Reliability: Implement evaluation ...

scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise … correction. Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning. Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data. System Observability & Reliability: Implement evaluation ...

Supporting Credit Card growth, including new acquisition scorecards as volume increases through upcoming Experian integration Owning the entire modelling process - from data extraction and feature engineering through to deployment (no separate engineering hand-off) REQUIREMENTS Strong data science/modelling experience using ML techniques Background in Financial ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...

validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response Comfortable owning … improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail Comfortable working independently, making architectural decisions, and maintaining high code quality UK-based and available for support during core market hours when needed Desirable Skills Experience ...