24 of 24 Remote/Hybrid Feature Engineering Jobs in the UK

about leveraging cutting‐edge AI to transform financial markets? Do you thrive on building end‐to‐end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands‐on experience, and a desire to make a significant … graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee’s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring, cutting ...

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 ...

where the NHSBSA can take you. We are people connected to care. Job description Job responsibilities In this role, you are accountable for: AI Engineering and development 1. Designing, developing, and deploying AI solutions from prototype to production, ensuring scalability, security, and maintainability.2. Collaborate on feature engineering … model development, and MLOps. Shares expertise and mentors colleagues and engineers. Excellent understanding of model lifecycle, from experimentation to production. Strong grasp of software engineering principles (SOLID, design patterns), dependency injection, and scalable system design. Strong understanding of NLP, embeddings, and semantic search. Awareness of ethical and privacy implications ...

Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across … lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with genuine ML rigour and a healthy scepticism about what models can and can't be trusted to do. Key Responsibilities Partner with ...

Python and SQL skills Experience developing and deploying machine learning models into production environments Excellent understanding of statistical modelling, experimentation, and model evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc. … innovation The Senior Data Scientist role will involve: Developing and deploying machine learning models to solve real-world business challenges Performing exploratory data analysis, feature engineering, model development, and evaluation Building forecasting, classification, segmentation, and predictive modelling solutions Designing and executing statistical analyses and experiments to support strategic ...

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 ...

generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning … business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious ...

Forward Deployed Engineer Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) Very Attractive Salary + Benefits This is a fantastic opportunity for a Senior AI Forward Deployed Engineer to join a leading technology consulting and AI delivery organisation, working directly … deploying Machine Learning systems in production environments is expected as an AI Forward Deployed Engineer, including full end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment. The AI Forward Deployed Engineer will bring strong practical experience in Generative AI and modern AI systems ...

Forward Deployed Engineer Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) Very Attractive Salary + Benefits This is a fantastic opportunity for a Senior AI Forward Deployed Engineer to join a leading technology consulting and AI delivery organisation, working directly … deploying Machine Learning systems in production environments is expected as an AI Forward Deployed Engineer, including full end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment. The AI Forward Deployed Engineer will bring strong practical experience in Generative AI and modern AI systems ...

Overview We are seeking an AI Engineering Lead to sit at the top of our client’s delivery structure. This role bridges strategic leadership and hands‐on delivery, providing day‐to‐day technical direction to a team of consultants and ensuring high‐quality outcomes across multiple client environments. … operationalisation. Act as the senior technical authority for clients, translating complex concepts into clear defined strategies for senior non‐technical stakeholders. Own solution quality: engineering standards, code reviews, model governance, security, and delivery assurance. Provide technical leadership and coaching; build progression frameworks and mentoring for consultants. Drive pre‐sales ...

security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting-edge machine learning research and production-grade security software. To see what our engineering teams … design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Requirements for the C++ AI/ML Software Engineer Strong proficiency in modern ...

queries and manage remediation actions and findings Your skills and experience Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science) 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language … Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience designing evaluation frameworks for LLM use cases (e.g., human-in-the-loop, calibration, guardrails, auditability) Experience with hyperparameter tuning at scale and experimentation frameworks Strong technical experience with ...

Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. … with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across ...

Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. … with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across ...

shape advanced machine learning solutions that directly influence digital campaign performance. You will operate as the technical authority for data science, working closely with engineering to bring models into production and scale their real-world impact. The Company They are a London-based technology business specialising in advertising … optimising campaign performance. Since launching in recent years, they have grown into a collaborative team of around 50, combining expertise across data science, engineering and digital media. Their SaaS platform integrates with major advertising ecosystems, leveraging large-scale datasets to drive smarter decision-making for their clients. The Role ...

solutions to help solve business problems. What you'll do Work with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment. Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure … natural language processing, and deep learning. Create clear and compelling visualisations to communicate complex analytical findings effectively. Collaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations. Collaborate with cross-functional teams to integrate data science solutions into products and services. ...

teams to align architecture with business objectives. Provide technical leadership and governance across AI work streams and delivery teams Drive best practice in AI engineering, model management, and data science operations Evaluate and select appropriate AI frameworks, tools, and cloud services to meet enterprise requirements Support the integration … systems Skills and Experience Proven experience delivering AI solutions at enterprise scale in production environments Strong background in Generative AI — including LLMs, prompt engineering, and model fine-tuning Hands-on experience with Hugging Face (model hub, Transformers, Inference API) Experience with AWS AI services (SageMaker, Bedrock, Rekognition, Comprehend ...

advanced ranking models for Depop’s entire app, covering personalised recommendations, search results and other surfaces. Collaborate closely with cross-functional partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes. Lead the end-to-end lifecycle of ML projects: from ideation … data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration. Drive innovation in ranking by researching and integrating emerging ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy. Mentor, coach, and set technical direction within the Ranking ML team ...

expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested … Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time ...

models (e.g., clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation ...

real-time capability Strong understanding of how to assess and enable data readiness for AI use cases, including data availability, data quality and feature engineering considerations Experience analysing decision-making workflows, identifying where data should better inform operational and strategic decisions Ability to establish and promote canonical data ...

will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy … Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services ...

SeniorAIEngineerManchester Agrowingtechnology-ledbusinessisseekinga SeniorAIEngineer toplayapivotalroleinshapinganddeliveringitsAIstrategy.Thisisasenior-level,hands-onpositionresponsiblefordesigning,building,anddeployingenterprise-gradeAIsolutionsthatdrivemeasurablebusinessvalueacrosstheorganisation. WorkingcloselywithIT,Data,Engineering,andseniorbusinessstakeholders,youwillleadthedevelopmentandimplementationofadvancedAIsolutions,leveragingLargeLanguageModels(LLMs),Retrieval-AugmentedGeneration(RAG),AIAgents,MachineLearning,andAzureAIservices.Youwillprovidetechnicalleadership,establishbestpractices,andhelpbuildtheorganisationslong-termAIcapability. ThebusinessisinvestingheavilyinAIandislookingforsomeonewhocancombinedeeptechnicalexpertisewithstrategicthinking,takingsolutionsfromconceptthroughtoproductiondeploymentandadoption. TheidealcandidatewillhaveastrongfoundationinAIEngineeringcombinedwitharobustDataSciencebackground,enablingthemtodevelop,evaluate,andoptimiseAIsolutionsthatdelivermeasurablebusinessoutcomes. ThisrolewouldsuitanexperiencedAIprofessionalwhoenjoyssolvingcomplexbusinesschallenges,mentoringothers,influencingtechnicaldirection,anddeliveringinnovativeAIsolutionsatscale. RolePurpose AsaSeniorAIEngineer,youwillleadthedesign,development,deployment,andoptimisationofenterpriseAIsolutions,ensuringtheyaresecure,scalable,maintainable,andalignedtobusinessobjectives. YouwillactasasubjectmatterexpertforAItechnologies,helpingtodefinearchitecture … Strongunderstandingofenterprisecloudarchitecture,includingVNets,EntraID,APIGateways,networking,andsecureintegrations. ExperiencedeployingandmanagingAIworkloadswithinproductionenvironments. StrongSQLanddataengineeringskills,workingwithbothstructuredandunstructureddatasets. AbilitytotranslatecomplexdatasetsintoactionableinsightsandAI-drivenbusinesssolutions. ExperienceimplementingAIgovernance,security,monitoring,andoperationalbestpractices. Excellentcommunication,leadership,stakeholdermanagement,andproblem-solvingskills. HighlyDesirable StrongDataSciencebackground,withexperienceinstatisticalmodelling,predictiveanalytics,featureengineering,experimentation,andmodelevaluation. ExperienceapplyingDataSciencemethodologiestosolvecomplexbusinessproblemsandidentifyopportunitiesforAIadoption. ExperiencewithGenAIOps,LLMOps,MLOps,andAIobservabilityplatforms. ExposuretoComputerVision,OCR,VoiceAI,ConversationalAI,ormultimodalAIsolutions. Experienceworkingwithinoperational,retail,automotive,logistics,orcustomer-centricorganisations. KnowledgeofResponsibleAI,AIgovernanceframeworks,andregulatoryconsiderations. PreviousexperienceleadingAIinitiatives,mentoringengineers,orhelpingdefineAIstrategyandroadmap. ExperiencebuildingorcontributingtoanAICentreofExcellenceorinternalAIcapabilityfunction. ...

features across the Avatars and Generative Media domain. You will collaborate closely with product and design teams to address user challenges and iterate on feature development. The successful candidate will enjoy a competitive salary starting at £130,000, a stock option plan, and the flexibility to work remotely from ...