26 to 41 of 41 Feature Engineering Jobs in the UK excluding London

role. Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. Senior Analytics Engineer - Analytics Engineering Our story - continued commitment to doing the right thing 2005 seems like a long time ago. Simply Business – a small company with … Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities. The Senior Analytics Engineer is a senior technical role responsible for thedesign and development of robust analytical data models. ...

role. Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. Senior Analytics Engineer - Analytics Engineering Our story - continued commitment to doing the right thing 2005 seems like a long time ago. Simply Business a small company with … Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities. The Senior Analytics Engineer is a senior technical role responsible for thedesign and development of robust analytical data models. ...

business goalsEffective communication and collaboration skills, with demonstrated experience working across cross-functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learningDevelop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systemsCollaborate with data scientists and machine learning engineers to ensure ...

goals Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams Education Bachelor s degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems Collaborate with data scientists and machine learning engineers ...

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. ...

that reflect risk assessment outcomes and model performance. Qualifications A bit about you: Proven track record of deploying models from scratch, including data preprocessing, feature engineering, model selection, evaluation, and monitoring. Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering ...

that reflect risk assessment outcomes and model performance. Qualifications A bit about you: Proven track record of deploying models from scratch, including data preprocessing, feature engineering, model selection, evaluation, and monitoring. Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering ...

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 ...

using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets to extract insights and train algorithms Perform feature engineering to improve model accuracy Design ML pipelines and automate model deployment Collaborate with software engineers to integrate models into applications Use MLOps ...

then scale into production Shape problem definitions with stakeholders in ambiguous environments Bring best practices from adjacent industries into a high-performance setting Data Engineering & Architecture Design/maintain pipelines integrating telemetry/timing, video/image, event operations, and digital/commercial engagement data Develop APIs/services … secure-by-design delivery with cyber teams What we're looking for Essentials 5-10 years' experience in data science/AI/ML engineering Strong Python Production ML deployment experience (end-to-end) Strong SQL + modern data warehouse experience Cloud familiarity + containerisation/orchestration Streaming data ...

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. … maintain the machine learning models which define our competitive advantage in the financial services market. \n \n Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. \n \n Analyse tabular and non-tabular data, such as text, logs ...

complex real-world environment. You'll be involved in: ·Developing machine learning models to improve forecasting and operational planning ·Applying time-series analysis and feature engineering techniques across large datasets ·Building and improving discrete event simulation models to test different scenarios ·Identifying trends, patterns and potential operational constraints … Python experience beneficial) ·SQL and working with large datasets ·Ability to explain technical findings clearly to different audiences A background within transport, logistics, aviation, engineering, manufacturing, supply chain or similar operational environments would be highly advantageous. This would suit a Data Scientist who enjoys modelling how things work, testing ...

Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams ...

major growth phase and help build the firm's long-term technology platform.The company combines the stability of an established investment business with the engineering culture of a high-performing technology organization. Engineers work in small, highly autonomous teams with significant ownership over critical systems. Senior hires are expected … data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing up toolchains ...

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. ...