26 to 50 of 102 Feature Engineering Jobs in the UK

statistical arbitrage strategies. The position will collaborate closely with the Portfolio Manager and other team members, contributing across all stages — from data processing and feature engineering to backtesting and live deployment.Key ResponsibilitiesResearch, design, and implement predictive signals and features across global equities.Work with large, diverse datasets; develop robust … feature engineering and point in time (PIT) data cleaning pipelines.Collaborate with team members to implement research infrastructure, backtesting frameworks, and analytical tools.Build frameworks and tools for performance attribution and ongoing live strategy monitoring.Requirements2–8 years of experience in quant equities, with a primary focus on alpha research.Familiarity with ...

committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed … multi-scale image resolutions. The work may also involve applying topological data analysis (TDA) to assist with the design, construction and deployment of new feature engineering and optimisation strategies for the machine-learning (ML) modelling of cellular data. More generally, this role offers a great opportunity ...

agentic workflows.Evaluate emerging AI technologies and recommend practical applications across the organisation.Data Science & AnalyticsPerform advanced statistical analysis and modelling across large-scale operational and engineering datasets.Develop feature engineering, experimentation and model evaluation frameworks.Create insights and recommendations that drive decision making for senior stakeholders.Build and maintain reproducible data … science workflows and pipelines.Product DeliveryPartner with engineering and product teams to transition solutions from proof-of-concept into production.Define success metrics and measurement frameworks for AI products.Support model monitoring, governance and continuous improvement activities.Contribute to AI product roadmaps and prioritisation discussions.Collaboration & InnovationWork with subject matter experts from Engineering ...

across health and safety, sustainability and ethical behaviour. As a Data Scientist, you'll join a growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications … Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely with Engineering and Product teams in a collaborative Agile environment, turning complex data and technology into solutions that deliver tangible business value. The role will include ...

business, building for scale and performance from the ground up.Ensure the data layer is structured to support AI and LLM use cases — including feature pipelines, evaluation datasets and the clean, well-documented data that reliable AI products depend on.Partner with cross-functional teams across marketing, finance, operations and product … seeing those improvements through.Who you areAI & LLM awareness priorityA working understanding of how AI and LLM-powered products consume data — including familiarity with feature engineering, evaluation pipelines and the data quality standards these systems require.Experience contributing to or supporting AI/ML workflows, whether through building feature ...

before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including … technical concepts to both technical and non-technical stakeholders. Desirable Experience AI agents and agentic workflows. Vector databases such as Pinecone, Weaviate, or pgvector. Feature stores including Feast or AWS Feature Store. Docker, Kubernetes, or Amazon ECS. Infrastructure as Code using Terraform or CloudFormation. Big data processing technologies ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with AI/ML Engineering expertise to join us, working in fast-paced teams with talented colleagues across the UK and Deloitte’s wider delivery network.We encourage consideration … with some flexibilities, please do discuss it with us.Your roleAs a practitioner in AI & Data, you are responsible for delivering AI/ML Engineering on client projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.AI/ ...

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 … Generative AI, AI-assisted code generation, automated testing, code review acceleration, agentic workflows, and development process optimisation. This role involves providing technical leadership, engineering expertise, and tooling oversight across the software delivery lifecycle, helping teams apply AI responsibly to modernise platforms, improve code quality, streamline delivery, and enhance developer ...

with some flexibility, please do discuss it with us.Your roleAs a practitioner in AI&D, you are responsible for delivering AI/ML Engineering on client projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.AI/… understand business requirements and translate them into robust AI solutions.Design, develop, and implement end-to-end AI pipelines, including data acquisition, pre-processing, feature engineering, model training, evaluation, and deployment.Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation ...

Date published 13-Aug-2026 Req # 23230 Job description Connect to your IndustryDeloitte’s AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our client’s lead and win through the transition to a low‐carbon, digitally … strategies aligned with their energy transition and operational efficiency goals.Lead the design, development, and implementation of advanced AI pipelines, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale.Oversee the development and operationalisation of state-of-the-art AI models, including large language models ...

live decisioning frameworksUse value-based decisioning logic — incorporating CLV and long-term customer value into prioritisation, not just short-term conversionMeasurement frameworks and optimisationDefine feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioningArchitect real-time decisioning solutions integrating with … offerings#LI-EU SNGCR01 Required — Technical SkillsAdvanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing)Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window managementAgentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflowsMachine Learning — model development, training, evaluation ...

Join the team that powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology … based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

increasingly sophisticated threat landscape. The Security Data and AI lab within the Chief Security Office is at the forefront of this transformation - engineering data platforms and AI-driven capabilities that enable intelligent, proactive defence.We're looking for a Lead Data Engineer to shape and lead the lab’s data … engineering capability. This is a senior role combining deep technical expertise with leadership, influencing direction and delivering high-impact outcomes across a complex enterprise environment. You’ll operate at the intersection of data engineering, security and AI, defining and driving the data engineering strategy and roadmap, owning ...

increasingly sophisticated threat landscape. The Security Data and AI lab within the Chief Security Office is at the forefront of this transformation - engineering data platforms and AI-driven capabilities that enable intelligent, proactive defence.We're looking for a Lead Data Engineer to shape and lead the lab’s data … engineering capability. This is a senior role combining deep technical expertise with leadership, influencing direction and delivering high-impact outcomes across a complex enterprise environment. You’ll operate at the intersection of data engineering, security and AI, defining and driving the data engineering strategy and roadmap, owning ...