101 to 125 of 203 Feature Engineering Jobs in the UK

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 … What you’ll do Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. Leading the way in data transformation by setting up best practices in areas like ...

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 … What you’ll do Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. Leading the way in data transformation by setting up best practices in areas like ...

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 … What you’ll do Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. Leading the way in data transformation by setting up best practices in areas like ...

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 … What you’ll do Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. Leading the way in data transformation by setting up best practices in areas like ...

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 … What you’ll do Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. Leading the way in data transformation by setting up best practices in areas like ...

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 … What you’ll do Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. Leading the way in data transformation by setting up best practices in areas like ...

projects end to end, from problem discovery and technical design through to delivery and measuring impact. Collaborate with Product, Compliance, Operations and other engineering teams while maintaining high standards for reliability, testing and code quality. QualificationsWe are fully aware that it is uncommon for a candidate to have … deep understanding of JDBC and database internals. Experience with CI/CD pipelines and Distributed and Concurrent SystemsExperience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plusExperience working with relational and non-relational databases, query ...

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 ...

payments and banking operations. Job Responsibilities: Deliver machine learning and AI solutions for payments and banking operations, from discovery to production rollout Apply agentic engineering practices to build LLM-powered workflows and evaluate their quality, safety, and reliability Contribute to deployment workflows including containerization, CI/CD, automated testing … consumers Partner with product, operations, risk and control, and technology teams to clarify requirements and deliver data-led improvements Build reusable components such as feature engineering pipelines, evaluation harnesses, and orchestration patterns Participate in code and design reviews; contribute to best practices, documentation, and team standards Communicate with ...

scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual‐contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities Define and own the AI architecture vision for Protégé in PatentSight+, ensuring … driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape ...

evaluate, and improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance … reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. Partner with engineering teams to deploy and scale machine learning systems in production. Produce clear technical documentation and share expertise through mentorship, design reviews, and technical leadership. ...

customers in more than 120 markets. ## **Role overview:** This is along-term **fixed-term contract** designed to support Planet’s AI-first engineering scale-up project. We're hiring a Data Scientist to join Planet's AI team and lead our commercial data science work. You'll partner … tests and quasi-experiments for commercial initiatives. Bring statistical rigour to business decisions.* **Productionisation** — Take models from notebook to production. Own the full lifecycle: feature engineering, training, deployment, monitoring, retraining.* **Stakeholder partnership** — Translate ambiguous commercial questions into well-scoped analytical problems. Communicate findings clearly to non-technical audiences. ...

post-quantum cryptography. You will lead the architecture behind: continuous trust decisioning shared signals and federation (CAEP/RISC/SET) streaming pipelines and feature stores behavioural intelligence systems Identity Assurance Graphs AI-agent and workload identity evaluation You’ll work across Ditto Verify, Authenticate, and Protect, combining identity … someone with: 10+ years in security, identity, fraud, risk, or trust architecture deep experience with real-time event-driven and streaming systems strong data-engineering and feature-engineering expertise experience building adaptive trust, behavioural intelligence, or signal-fusion platforms practical experience integrating AI/LLM systems into ...

routing, scheduling, and resource allocation, and improving performance using solvers such as Gurobi Apply machine learning techniques to support decision systems, including predictive modeling, feature engineering, and generating inputs for optimization models, while ensuring strong integration between ML and optimization frameworks Translate business requirements into structured analytical … levels, or cost. Why TechBlocks Work directly with Fortune 500 executives and digital transformation leaders. Be part of a fast-growing, AI-native software engineering firm redefining global delivery through our GCC-as-a-Service model. Collaborate with global teams in Canada, the U.S., and India on cutting-edge ...

Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible AI, governance, and security best practices. ...

Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible AI, governance, and security best practices. ...

ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions. Manage ...

security, identity and compliance (Entra ID, RBAC, network isolation, data protection). Strong experience designing LLM‐based solutions, including Retrieval‐Augmented Generation (RAG), prompt engineering strategies and agent‐based architectures, leveraging frameworks such as Semantic Kernel, LangChain, and Microsoft Agent Framework. Deep practical experience with classical Machine Learning, including … supervised and unsupervised learning, feature engineering, model selection, training pipelines, evaluation frameworks and production lifecycle management, equivalent in depth to GenAI expertise. Proven ability to assess client use cases and make well‐reasoned architectural decisions between classical ML and Generative AI approaches; and articulate clearly why. Strong experience ...

Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel. Introducing the Embedded Data Engineering in ML Team At the heart of our Data and ML teams, embedded Data Engineers create the pipelines and tables that power business critical … Machine Learning Engineers and Data Scientists to build reliable datasets for ML use cases. You'll also have access to Trainline's wider Data Engineering, Data Platform, and analytics community, working alongside other embedded Data Engineers in ML, including senior and principal engineers. In this role as the Embedded ...

with minimal supervision, and implement rigorous validation automation (such as backtesting and slice-based evaluation) to prevent data leakage, over-fitting, and production regressions. Engineering Partnership & Handovers: Collaborate closely with Engineering Leads to ensure compute/GPU infrastructure supports model requirements. Clearly define model failure modes, edge cases … build robust fallback systems. Applied Debugging & Guardrails: Diagnose complex algorithmic bugs and implement automated checks for "Silent Failures" (e.g., concept drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions. Career Multiplier: Formally mentor mid-level and associate ML scientists, reviewing their ...

coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. **Key Responsibilities:** * Define and own the AI architecture vision for Protégé in PatentSight+, ensuring … driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics.* Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production.* Partner with Product Management to assess technical feasibility and shape ...

Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Job Responsibilities Design and deliver creative software solutions, including development and technical troubleshooting; think beyond conventional approaches to build solutions and break down complex technical problems. Develop secure, high … quality production code; review and debug code written by others to ensure reliability, performance, and maintainability. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause ...

have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs ...

have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs ...

Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet … intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry ...