1 to 25 of 103 Feature Engineering Jobs in the UK

Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing … that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity ...

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 ...

live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.Team OverviewWe’re building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works … projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management.We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale ...

Management 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 with … 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 Manager in SAIL, you will own and lead consultancy engagements ...

systems: devices that operate autonomously, make decisions in real time, and remain reliable under the constraints that define actual field deployment. The Challenge The engineering challenge is significant. You will be responsible for the complete lifecycle of machine learning models that run on embedded devices. This means: From Sensor … transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded systems. A model that requires 512MB of RAM will ...

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 ...

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 ...

Principal, AI/ML Engineer leads the design, delivery and continuous improvement of AI and ML solutions within their area of responsibility, aligning engineering activities to the Bank’s broader AI strategy and long-term objectives. The role combines strong technical leadership with a clear focus on delivery outcomes … operates with a clear understanding of the wider technology landscape, contributing to strategic direction while taking accountability for translating this into practical, high-quality engineering outcomes across squads. Leads the definition and execution of AI/ML engineering direction across one or more squads, ensuring alignment with ...

models that support energy planning, forecasting and strategic decision-making. Alongside technical delivery, you will manage stakeholder relationships, guide cross-functional teams across data, engineering and business domains, mentor junior data scientists, and ensure projects are delivered to a high standard using modern software engineering and MLOps practices. … while applying sound human judgement, responsible AI principles and appropriate governance throughout the model lifecycle.What You'll DoUtilise Python for advanced data analysis, exploration, feature engineering and data processing to uncover insights, trends and patterns, leveraging approved AI tools where appropriate to accelerate analysis and improve efficiency while ...

ontologies, taxonomies, citations, metadata, and content from every scientific discipline.Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI.Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question … preprocessing, inference, experimentation, monitoring, and continuous improvement.Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems.Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences.RequirementsExperience ...

taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization … inference, experimentation, monitoring, and continuous improvement. Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems. Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical ...

looking for, even if you’re not 100% sure, we would love to hear from you.Role Purpose As an Analytics Engineer in the Telematics Engineering team, you’ll play a key role in transforming raw telematics data into high-quality, productionised features that power pricing, underwriting, and data science … workstreams.Sitting at the intersection of data engineering and analytics, you’ll design, build, and maintain scalable data models and pipelines that enable teams across Hastings to unlock value from telematics data.You’ll work closely with Data Engineers, Analysts, and Data Scientists, within a modern data platform (Snowflake, Azure ...

looking for, even if you’re not 100% sure, we would love to hear from you.Role Purpose As an Analytics Engineer in the Telematics Engineering team, you’ll play a key role in transforming raw telematics data into high-quality, productionised features that power pricing, underwriting, and data science … workstreams.Sitting at the intersection of data engineering and analytics, you’ll design, build, and maintain scalable data models and pipelines that enable teams across Hastings to unlock value from telematics data.You’ll work closely with Data Engineers, Analysts, and Data Scientists, within a modern data platform (Snowflake, Azure ...

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 ...

build and deploy high-performance models at scale.What you’ll doLead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.Collaborate with product and engineering peers to turn complex data into real-time … into practical product solutions and communicate these ideas clearly to non-technical peers.You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.You lead by example, writing clean, high-quality code and raising the team ...

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 with ...

well-positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engage them.Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience … pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can work effectively with engineering, product, data science, and commercial stakeholders across Roku. The successful candidate will display a balance of hard and soft skills, including the ability to respond ...

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 ...

OVERVIEW:This role exists to provide technical leadership within the data engineering team, setting the standard for engineering excellence while remaining deeply hands-on. The Lead Data Engineer drives the design and delivery of scalable, resilient data platforms and pipelines that underpin Gymshark's ambition … Technical Leadership: Own and drive the technical design and architecture of data pipelines, data models, and platform components across the team. Set and enforce engineering standards: code quality, testing, observability, security, and documentation, ensuring the whole team operates to them Lead technical discovery, design sessions, and code reviews, providing ...

world.As a Principal Data Engineer you will set the medium to long term technical direction for our data infrastructure. You will partner with Engineering, Data Science, Product and SRE leadership on cross-tribe initiatives, coach engineers at every level, and tackle the data problems that no single team … solve alone. You will also represent ComplyAdvantage at engineering and industry events.Your impact will shape the data foundations on which ComplyAdvantage's AI, screening and monitoring products are built. Your work will directly affect how quickly and accurately our customers can detect money laundering, terrorist financing, sanctions evasion ...

with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability.Key ResponsibilitiesContribute to the research … with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks.Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products.Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical ...

range of publicly available data sources.ROLE/RESPONSIBILITIESPerform rigorous and innovative research to discover systematic anomalies in global macro markets (futures, FX, etc.)Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in mid frequency trading spacePerform feature combination … production implementationMaintain and improve portfolio trading in a production environmentContribute to the analysis framework for scalable researchREQUIREMENTSBackground in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics2-6 years of signal research experience in macro trading as part of a trading teamSpecialization in swaps, fixed income ...

will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job OverviewThe Engineering AI Enterprise Architect is a senior AI technical authority responsible for the safe, consistent and scalable use of AI across a global engineering organisation.The … role owns the Engineering AI solution design framework, including the architecture principles, reusable patterns, technical standards and production expectations used by business units to design AI models, agents, workflows and solution concepts. It helps identify common AI capabilities, reduce duplication and ensure local solutions are positioned for broader enterprise ...

need any reasonable adjustments throughout the recruitment process Job DescriptionContribute to building and evolving the platform (infrastructure + reusable abstractions) that standardises data engineering workloads (batch/streaming pipelines, data processing) and traditional ML workflows (feature engineering, training, batch/real-time serving) across teams Implement platform … enable adoption of platform capabilities across ASOS Tech Contribute to documentation, standards, and best practices across the platform QualificationsExperience in Data Platforms, Data Engineering, Cloud Engineering, or ML Platform Engineering roles, with exposure to Azure Strong hands-on experience with Python and Apache Spark Experience with Azure ...