1 to 25 of 44 Remote/Hybrid Feature Engineering Jobs in London

transformation programmes Technology & Transformation helps organisations unlock the full value of their data through modern platforms, cloud technologies, and AI. Within Deloitte's Engineering, AI & Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics … trusted foundations that power intelligent decision-making.We're looking for practitioners with a passion for building scalable, high-performance data platforms, strong data engineering fundamentals, and hands-on experience across modern cloud and data ecosystem.Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise ...

transformation programmes? Technology & Transformation helps organisations unlock the full value of their data through modern platforms, cloud technologies, and AI. Within Deloitte's Engineering, AI & Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics … trusted foundations that power intelligent decision‐making. We're looking for practitioners with a passion for building scalable, high-performance data platforms, strong data engineering fundamentals, and hands‐on experience across modern cloud and data ecosystem. Connect to your career at Deloitte Deloitte drives progress. Using our vast range ...

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 ...

Basic informationLocationLondonBusiness LineTechnology & TransformationJob TypePermanent/FTCDate published18-Sep-2026Req #25087Job descriptionConnect to your IndustryDo you want to lead the engineering delivery and shape the solution architect of some of the UK's largest and most ambitious Data & AI programmes Within Technology & Transformation organisations are increasingly relying on modern … business value. As a Senior Databricks Data & AI Engineer/Technical Lead, you'll provide the technical leadership that enables these transformations—leading engineering teams, shaping solution architecture, and delivering enterprise-scale data, machine learning, and AI solutions on the Databricks Data Intelligence Platform.Working alongside some of the industry ...

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 ...

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 ...

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 ...

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 ...

experimenting with new estimators, models, and features to boost payment performance across our merchants portfolio. 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 Responsibilities Contribute … 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 ...

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 … 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 ...

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/ ...

experienced Databricks architects who combine deep technical expertise with strategic thinking and delivery leadership. You'll work alongside exceptional data, AI, cloud, and engineering specialists to define enterprise architectures that enable organisations to modernise their data estates and accelerate AI adoption. We are seeking an experienced Databricks Architect … will: Lead the architecture and technical strategy for large-scale Databricks Data & AI transformation programmes. Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such ...

experienced Databricks architects who combine deep technical expertise with strategic thinking and delivery leadership. You'll work alongside exceptional data, AI, cloud, and engineering specialists to define enterprise architectures that enable organisations to modernise their data estates and accelerate AI adoption.We are seeking an experienced Databricks Architect and Delivery … mobilisation, delivery planning, resourcing, dependency management, financial oversight, commercial management, risk and issue management, and stakeholder reporting.Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads.Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such ...

experienced Databricks architects who combine deep technical expertise with strategic thinking and delivery leadership. You'll work alongside exceptional data, AI, cloud, and engineering specialists to define enterprise architectures that enable organisations to modernise their data estates and accelerate AI adoption. We are seeking an experienced Databricks Architect … delivery planning, resourcing, dependency management, financial oversight, commercial management, risk and issue management, and stakeholder reporting. Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such ...

seeking to hire experienced Lead GenAI System Architect(s) in the AI Institute, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will be working with clients and other third parties, as well as Deloitte teams from across the Firm. You will have … deliver transformative AI and Generative AI strategies aligned with business 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 ...

experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. You will lead the development of data pipelines, vector … integration with enterprise applications.* Monitor, evaluate, and enhance model performance, scalability, reliability, and accuracy in production environments.* Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into effective AI solutions.* Contribute to prompt engineering, AI workflow development, and end-to-end solution implementation.* Support deployment ...

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 ...

with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize our operations, refine our marketing efforts, and enhance the customer experience. You will not only build … powerful models but also help uphold the engineering rigor and standards of our data team. You Will: Build from Scratch: Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ...

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.Build and maintain scalable and efficient AI models using machine learning, deep learning, and other advanced analytics techniques.Stay abreast … want to help solve some of the biggest tech and transformational challenges around, join us. Together, we’ll make an impact that matters. Engineering, AI and DataWe lead transformation at the heart of our clients; re-engineering the core of our clients’ organisations, helping to unleash growth ...

using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems.Mentor junior team members and utilise model explainability methods to drive feature performance improvements.About You5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems.Deep understanding of frequentist … Bayesian statistics, plus supervised and unsupervised modelling techniques.Proven experience modelling complex interactions (e.g., cluster or network effects).Expertise in model explainability to tune feature engineering and understand feature interactions.Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders.Proficient in leveraging LLMs ...

distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About You5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. Deep understanding … Bayesian statistics, plus supervised and unsupervised modelling techniques. Proven experience modelling complex interactions (e.g., cluster or network effects).Expertise in model explainability to tune feature engineering and understand feature interactions. Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders. Proficient ...

distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About You 5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. Deep … statistics, plus supervised and unsupervised modelling techniques. Proven experience modelling complex interactions (e.g., cluster or network effects). Expertise in model explainability to tune feature engineering and understand feature interactions. Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders. Proficient ...

that turn real customer signals into timely actions and measurable outcomes allowing customers to amplify consumer voice for LLM visibility advantage. Partner across Product, Engineering, CS, and Commercial to make the human signal visible, actionable, and compounding in the product. Establish experimentation and measurement foundations: design how we test … into simple, trusted narratives that guide product and commercial decisions. Productionize and scale thoughtfully: ship durable data and model workflows in collaboration with the engineering team, ensure quality and monitoring, and document decisions so the system is reliable, explainable, and easy to evolve. What you’ll bring Track record ...