1 to 25 of 54 Permanent Feature Engineering Jobs in the UK excluding London

looking for a Senior Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook … ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake ...

looking for a Senior Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook … ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake ...

looking for a Senior Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook … ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake ...

About The Role Why choose us? BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation … analytical expertise with strong commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement and will be accountable for demonstrating measurable operational or commercial value. The role ...

deliver measurable commercial value. You'll be working on business critical projects from day one, identifying opportunities and shaping hypotheses through to data exploration, feature engineering, model development, and deployment. Working with large and complex datasets, you'll use Python, PySpark, SQL, and Azure Databricks to develop robust … measurable commercial outcomes Explore, profile, and analyse large and complex datasets to identify trends, opportunities, and features that improve model performance Apply statistical techniques, feature engineering, and model tuning to create robust and scalable analytical solutions Collaborate with Data Engineers and ML Engineers to operationalise models and embed ...

delivering successful, production‐scale machine learning solutions (ideally on AWS SageMaker). You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large‐scale matching platform. This is a hands‐on lead role requiring recent expertise in building, deploying … success designing and delivering enterprise‐scale ML platforms and products (ideally using AWS SageMaker). Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement. Experience building reliable, low‐latency inference services and operating ML workloads at scale. Proven ...

full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do. What … development and deployment of machine learning models and analytical solutions , from data exploration through to production. Making day-to-day technical decisions on feature engineering, model selection, analytical techniques and data requirements within agreed team standards. Resolving technical challenges during model development and deployment, seeking guidance from ...

full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do.**What … development and deployment of machine learning models and analytical solutions**, from data exploration through to production.- **Making day-to-day technical decisions** on feature engineering, model selection, analytical techniques and data requirements within agreed team standards.- **Resolving technical challenges** during model development and deployment, seeking guidance from ...

integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices … quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working ...

Senior AI Engineer (Autonomy & Machine Learning) ALTEN is a global engineering and technology consultancy operating across over 35 countries worldwide. We partner with industry leaders across sectors including Aeronautics, Aerospace, Defence, Naval, Automotive, Energy, Rail, IT and many more to deliver innovative engineering solutions that drive technological advancement … edge artificial intelligence and machine learning capabilities that support high‐impact programmes across the defence and aerospace sectors. Working as part of a multidisciplinary engineering team, you’ll design, build and deploy robust AI solutions, helping customers unlock the value of their data while driving innovation across advanced autonomy ...

Senior AI Engineer (Autonomy & Machine Learning) ALTEN is a global engineering and technology consultancy operating across over 35 countries worldwide. We partner with industry leaders across sectors including Aeronautics, Aerospace, Defence, Naval, Automotive, Energy, Rail, IT and many more to deliver innovative engineering solutions that drive technological advancement … edge artificial intelligence and machine learning capabilities that support high‐impact programmes across the defence and aerospace sectors. Working as part of a multidisciplinary engineering team, you’ll design, build and deploy robust AI solutions, helping customers unlock the value of their data while driving innovation across advanced autonomy ...

Description Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code … Senior AI Software Engineer, you will play a key role in designing, developing, and implementing intelligent software solutions that drive innovation, improve engineering productivity, and deliver measurable business value. You will work closely with AI Architects, Data Engineers, Data Scientists, Product teams, and Engineering colleagues to build scalable ...

into one unit that will drive cutting-edge development in a number of critical areas for the business. The role sits within the Data Engineering team and reports to the Head of Data Engineering. The team’s remit is to drive innovation & revenue through the development & delivery of revenue … generating/client-facing data engineering solutions used across the agency. The Senior Data and ML Engineer will be part of a growing team that delivers highly impactful data solutions across our extensive client portfolio and also the agency’s own product offerings. We seek individuals who are proactive ...

classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes Mentoring junior team members and contributing to solution architecture, Preparing and presenting analytical results ...

solutions, not point solutions. Process modelers remain the process experts and co‐own the models. You bring the AI modeling and engineering that makes building, deploying and using models 10x more efficient. You bring deep, hands‐on AI/engineering expertise and the judgement to turn ambiguous technical … first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI‐Native Engineering Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

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 ...

analytics team & Tech partners in research to define the knowledge system, the agentic layer across the enterprise. You bring deep, hands‐on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production‐grade systems, while mentoring the engineers around you. Key Responsibilities PoC/… first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI‐Native Engineering Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

team in Sheffield This role is hands on and suited to someone who can lead by example partner with stakeholders and help shape engineering standards while delivering high-quality software at pace Hybrid working: The places that you work from day to day will vary according to your role … client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Senior full stack engineering capability with a strong frontend foundation ReactJS and TypeScript Strong backend engineering mindset API design integration performance security AIML engineering skills building ...

business teams. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non‐technical business partners. Major Job Responsibilities and Related Duties: Collection, cleaning, and pre‐processing of data for solving business … findings. Collaborate with stakeholders to define requirements and deliverables. Ownership of documentation related to datasets, model selection, training experiments, and inference workflows. Collaborate with engineering teams to integrate ML models into production systems. Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring ...

with minimal oversight. It's not solo delivery: you'll be working closely with a dynamic team spanning ML, MLOps and software engineering, and should be happy to contribute at every level, from early-stage research through to production support. Role & Core Responsibilities Own the delivery of medium-sized … issues and model degradation as a priority. Research new ML applications and improve pre-existing models, sharing findings with the wider ML, MLOps and engineering team. Collaborate closely with product, MLOps and engineering teams to define and prepare new ML applications, contributing meaningfully to planning and grooming. Proactively ...

Your Impact Customer Onboarding & Engine Customization: Lead the technical deployment of our engines for new clients. Partner closely with customers, Customer Success, Product, and Engineering to adapt and customize ML models, ensuring they accurately reflect client‐specific business logic, operational guardrails, and unique data nuances. Analytic Engine Development: Design … implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold‐start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from ...

making embedded inside the teams instead of wasting time in wider forums, to reduce time to impact. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you. Key Responsibilities PoC/… first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI-Native Engineering Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

will work hand in hand with the automation business and tech teams across R&D and manufacturing. You bring deep, hands‐on AI/engineering expertise in Physical AI and the judgement to turn ambiguous technical problems into shipped, production‐grade systems, while mentoring the engineers around you. … first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI‐Native Engineering: Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking.You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the design, development, validation and deployment support … science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams to make data science outputs scalable, maintainable and usable. Communicate ...

logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling ...