1 to 25 of 199 Permanent Feature Engineering Jobs in the UK

Predictive Analytics to join NTT DATA UK’s Data Practice. You will contribute hands-on across the model development lifecycle, from data understanding and feature engineering through to model training, evaluation, deployment support and ongoing improvement. Experience with Generative/Agentic AI, LLMs and AI-enabled products … classification, recommendation, optimisation, clustering and anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Compare model approaches, select appropriate metrics and explain technical trade-offs clearly. Build reusable notebooks, scripts ...

delivering innovative analytical products that improve the efficiency, scalability and quality of Reward's insight capability Operating at the intersection of Insight Solutions, Analytical Engineering, Data Engineering, Software Engineering and Data Product, the role rapidly develops proof-of-concept applications, automation and configurable analytical solutions that solve … problems Successful solutions are embedded within the Insight team to deliver immediate value before being transitioned into long-term business platforms through collaboration with Engineering and Product teams The Consumer Insights Tech Lead combines strong engineering expertise with commercial understanding to accelerate innovation, reduce manual effort, standardise analytical ...

solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME‐level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...

Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment, A/B testing, and performance monitoring Partner with Engineering, Product, Business, and Finance stakeholders to define technical requirements … requirements into executable milestones Provide technical guidance to junior data scientists and analysts Requirements 5+ years of applied experience in Data Science or ML Engineering Track record of delivering production-ready models that drive measurable business value Strong expertise in Python and SQL Deep familiarity with pandas, NumPy, scikit ...

Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The AI/ML Senior Manager role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technicalspecialism … ofAI and Machine Learning solutions directly embedded into business processes. We support clients acrossa number ofindustries and offer deepexpertisein AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements ...

solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...

workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands-on work with model architectures, feature engineering, model optimisation, performance debugging, schema-aligned data preparation, and ML-driven interfaces. This is a role for engineers who want to build real models, ship … real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise ...

# AI Data Scientist - Autonomous NetworkAbingdon, LondonApply for this job* Permanent* Experienced Professionals* Products & Systems Engineering* ID 517610-en\_GB## **Your Role**This role focuses on applying data science, statistics, machine learning, graph analytics, and KPI engineering to enable autonomous network intelligence. The AI Data Scientist will work … network operations.**Key Responsibilities*** Analyse large-scale telecom network datasets across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service domains.* Develop KPI engineering models for network performance, service quality, fault behaviour, customer impact, capacity, and resilience.* Build statistical and machine learning models for anomaly detection, fault prediction ...

spaces at Klarna. You will build best-in-class machine learning systems from the ground up, owning the complete pipeline from raw data through feature engineering, model design, training, and real-time production deployment. A central part of this role is converting some of Klarna's existing rules … detection, and behavioural signals into production where they create real impact. Who you are End-to-end ML ownership across the full stack: data engineering, feature development, model design, training, low-latency production deployment, monitoring, and retraining. Strong instinct for when a model is ready for production ...

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 ...

record of 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 … 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 ...

Stylist, search relevance, style discovery and intelligent product experiences across the customer journey. You'll work closely with Machine Learning Scientists, Software Engineers, Engineering Leaders and Product Managers, providing technical leadership across Search & Discovery while remaining hands-on with architecture, system design and engineering decisions. This … highly influential role where you'll help shape the future of machine learning engineering at ASOS while mentoring others and driving engineering excellence across the organisation. Technical Architecture & System Design Own the end-to-end technical architecture for machine learning systems powering personalised fashion experiences, including outfit discovery ...

with Data Analysts, Data Scientists, and cross-functional digital teams, supporting analytics use cases and occasionally contributing to light data-science activities such as feature engineering, exploratory analysis, or model operationalisation. Key Responsibilities : Develop concepts through the solution lifecycle, ensuring scalability and optimisation whilst considering cost. Oversee … client requirements. Quality, Governance & Operational Excellence Work closely with Data Analysts and Data Scientists to support analytical projects providing support for work such as feature engineering, and big data-analysis activities. Collaborate with project managers, architects, and technical teams to ensure seamless integration of data solutions within wider ...

production environments. Key Responsibilities Design, develop, and optimise machine learning models for personalisation and recommendation use cases. Build and maintain scalable data pipelines for feature engineering, model training, and inference. Deploy, monitor, and improve ML models in production environments. Develop recommendation engines, ranking models, and user segmentation solutions. … Design and analyse A/B tests and offline experiments to measure model effectiveness. Work closely with Product, Engineering, Data, and Business teams to deliver impactful solutions. Research and evaluate emerging machine learning and deep learning techniques. Ensure models remain reliable, scalable, and aligned with business objectives. Required Skills ...

surface risks automatically, so validation keeps pace with how fast first-line teams ship. The scope spans the full model lifecycle: data integrity and feature engineering, conceptual soundness, deployment design across Docker, Jenkins, and AWS, and the monitoring and drift detection that keeps a model honest after launch. … metrics, and fraud capture rate — and weigh each against its real business trade-off. You'll review transaction datasets exceeding 100 million records and feature pipelines with hundreds of features for representativeness, leakage risk, and bias. You'll evaluate drift detection, retraining strategies, and production monitoring practices to confirm ...

with hybrid working, and bonus of up to 15%. You will have the chance to make a lasting contribution to the data engineering capability as the client goes through a pivotal growth period. Please note, this is a hybrid role where you will need … processes into Snowflake while ensuring the quality, reliability and usability of our data. You'll also work closely with our Data Scientists, supporting feature engineering and helping to make sure the data they need is accurate, accessible and fit for purpose. Key Responsibilities Support the migration and consolidation ...

build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud … scorecards. You will own the full lifecycle of these models, from raw data through to production deployment, working closely with engineering to operationalize your work at scale. You will also help monitor model performance, impact, and acceptance rates through dashboards you help build, and you will partner closely with ...

machine learning models at scale that create measurable impact for the business Own the end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance Shape technical direction for your area, making well-reasoned architectural and modelling decisions that … open-source data libraries such as Pandas, NumPy and Scikit-learn A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker ...

science tools. Work closely with the Senior Data Architect and Development Team to ensure seamless integration of analytics reporting and models. Data Wrangling, EDA & Feature Engineering: Ensure the quality of data used for model development through meticulous data checking and cleaning practices. Process and transform raw, unstructured data … with demonstrable data science experience. Experience in the fundamentals of data science, including but not limited to: Data visualisation Exploratory Data Analysis Data Wrangling Feature Engineering Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled in advanced ...

deliver machine learning models at scale that create measurable impact for the businessOwn the end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenanceShape technical direction for your area, making well-reasoned architectural and modelling decisions that stand … Python and open-source data libraries such as Pandas, NumPy and Scikit-learnA solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniquesExperience with Spark, agile delivery methods and CI/CD practicesFamiliarity with DevOps and MLOps tools and practices, such as Docker, Terraform ...

/or AI solutions at scale that drive measurable impact for TrainlineOwn the full end-to-endmachine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenancePartner with stakeholders to propose innovative data products that leverage Trainline's extensive … FlowHave experience with agile delivery methodologies and CI/CD processes and toolsHave a broad of understanding of data extraction, data manipulation and feature engineering techniquesAre familiar with statistical methodologiesHave great communication skillsNice to have: Experience with transport industry and/or geographical information systems (GIS)Experience with ...

help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Data Engineer to join our Engineering team. This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure, operations, and security. Fueled … with a significant impact on the company’s growth. What you’ll do Shape the architecture of data products designed for: data analytics forecasting feature engineering customer behavior analysis integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization data governance consistent ...

systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you’ll take models from idea through to serving at scale, working in Spark, Python, and Java. … automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work ...

bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior insights integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization governance consistent reliable … Explore open-source tools Engage with the broader tech community Help keep Prima at the cutting edge What we’re looking for Software & Data Engineering Strong expertise in Python Passion for writing: clean reliable production-grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data ...

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 ...