21 of 21 Remote/Hybrid Feature Engineering Jobs in London

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 ...

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 ...

bring them to life, owning the journey from concept to deployment and beyond.Own end-to-end delivery of data science solutions—from problem framing, feature engineering, monitoring, evaluation and deploymentDesign and execute hypothesis-driven analysis and statistical testing (e.g., experiment design where applicable, assumption checking, uncertainty quantification … bring them to life, owning the journey from concept to deployment and beyond.Own end-to-end delivery of data science solutions—from problem framing, feature engineering, monitoring, evaluation and deploymentDesign and execute hypothesis-driven analysis and statistical testing (e.g., experiment design where applicable, assumption checking, uncertainty quantification ...

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 ...

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 ...

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/ ...

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 ...

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 ...

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 ...

iterating on models 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 explainability, governance … both technical and non-technical stakeholders.Desirable ExperienceAI 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 such as Spark or Dask.Experience working within regulated or highly secure ...

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 ...

testing, quasi-experimental methods, and stakeholder-facing insight delivery. Key Responsibilities Analytical discovery and opportunity identification. Value case assessment. Data preparation and ETL support. Feature engineering collaboration with Data Scientists. Testing and evaluation of interventions. Experiment execution and results analysis. Presenting outcomes to senior stakeholders. Influencing business decisions ...

rankers.Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.Deep understanding of the GenAI landscape and agentic ...

Strong Python and Pandas. Advanced SQL. Experience working with Azure Data Lake or similar cloud data platforms. Experience working with very large datasets. Strong feature engineering experience. Experience improving production classification models. Excellent understanding of F1 Score, Precision, Recall and model evaluation. Experience working with highly imbalanced datasets. ...

come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments … scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo. What ...

partner with 1,000+ clients.What you will be doingAs a Junior Software Engineer in our London office, your role will encompass:working on engineering projects together with senior team memberstraining and certification to enhance your skills in software engineering, data science, and data architecture.QualificationsNecessary education and experienceEducation … Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms.Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/ ...