226 to 250 of 987 Machine Learning Jobs in the UK excluding London

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving … forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across ...

expand into new customer segments, and build the underwriting capability needed to scale into Europe. We're looking for a senior ML leader to help shape that next phase. You'll lead a high-calibre team of ML scientists and help define Borrowing's ML roadmap across UK growth … advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that 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 ...

already out there. Responsibilities Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … deliverables. Publish, contributing to papers, technical reports, and conference talks that put Oxfida's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. Knowledge ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. xehkeey -- Required: experience training ML models … from data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/ ...

complex, high-performance engineering systems. You will join a specialist image processing team, working on cutting-edge technologies that combine imaging, computer vision, machine learning and signal processing. Your work will help shape technical solutions, influence design decisions and turn innovative research into practical engineering applications. What … will be doing Researching, developing and evaluating image processing and computer vision algorithms. Applying AI and deep learning techniques to complex technical challenges. Developing solutions for image segmentation, object detection, tracking and classification. Exploring techniques such as optical flow, pose estimation, particle filtering and computational imaging. Working with MATLAB ...

ML/LLM Research Engineer, National Security £80,000 to £90,000 + 10% bonus for DV clearance Manchester | Hybrid/Secure Site Working | Permanent Ncounter is supporting a growing technology consultancy looking for an experienced ML Research Engineer to join a specialist team working across AI, machine learning … into their architecture, behaviour or security A strong mathematical or STEM background, with MSc or PhD-level research particularly attractive Exposure to AI/ML security, model safety, explainability or similar areas would be beneficial Broader ML engineering skills, allowing you to move between research-led and more traditional engineering ...

mentoring and developing a multidisciplinary team of software, platform and DevOps engineers. Defining technical architecture and engineering standards across cloud-native applications, AI/ML platforms and supporting infrastructure. Overseeing the design, development and deployment of production-grade solutions into customer environments. Providing technical leadership across DevOps, CI/… including architecture, infrastructure automation and production operations. Software Engineering: Python, APIs, modern development frameworks, Git, automated testing and software delivery best practices. AI/ML/MLOps: Experience supporting or delivering machine learning platforms, model deployment, ML pipelines or production AI applications. Architecture: Designing scalable, secure and reliable ...

databases and user-facing applications. • Maintain reliable, scalable software architecture and integrate machinery, embedded controllers and applications. • Develop tools to collect, process and present machine and sensor data. • Maintain clear documentation, version control and sound development practices. Cloud Infrastructure & DevOps • Take hands-on ownership of cloud infrastructure, particularly AWS. … reliable infrastructure for future commercial deployment. Engineering Data, Simulation & Computational Modelling • Develop simulation, optimisation, computational modelling and Digital Twin tools for autonomous machinery. • Model machine performance, operating sequences, capacity and efficiency. • Analyse machine, sensor and operational data and test engineering concepts before physical implementation. • Work with robotics ...

wider business strategyDesigning and delivering data-centric solutions in collaboration with colleagues across disciplinesLeading the technical delivery of research and applied AI/ML work on both customer and internal projectsProviding technical leadership across multiple projectsManaging and developing more junior members of the SRG teamDelivering AI, ML and data science … solutions to a broad range of defence problemsAbout YouSeveral years' experience delivering novel ML solutions to customers and internal stakeholdersProven experience as a Senior/Principal Data Scientist with ability to guide and coach the teamExcellent Python coding practice, including ML libraries such as HuggingFace, TensorFlow and PyTorchExperience building robust ...

join an innovative technology team. This is an opportunity to work on complex, data-driven products that combine software engineering, cloud technologies and machine learning. You'll be involved in designing and building applications, APIs and data pipelines that help transform large volumes of complex data into meaningful, actionable … Agile development practices. Desirable Skills Experience working with time-series, geospatial, sensor or other complex datasets. Exposure to machine learning or deploying ML models into production. Familiarity with frontend technologies such as React and TypeScript. Experience with infrastructure as code, such as Terraform or CloudFormation. AWS certifications would ...

Reviewing technical literature and summarising relevant methods and evidence Designing controlled experiments and defining clear evaluation criteria Preparing data and developing proof-of-concept machine learning models Analysing results, limitations, uncertainty and potential sources of bias Documenting methods and communicating findings through reports, demonstrations and reviews Working with … experienced researchers and engineers on live research challenges Training The programme is delivered through a virtual learning model, combining: Live virtual lecturers Online learning resources Self-directed learning activities After the apprenticeship you will role off into the business as an AI Researcher. Apprenticeship Standard Machine ...

find below JD for ML engineer/Architect: Perform designing, implementing and maintaining systems that detect, investigate and mitigate financial crimes primarily be focused on model development and associated data science activities Engineers/data science backgrounds with transaction monitoring background The role combines transaction monitoring domain expertise with technical … skills in Data Science, Machine Learning, PySpark programming. Experience in designing and deploying AI/ML products, hands-on and as a manager Develop and maintain AI driven monitoring engines that scrutinize financial transactions in real time. Identify suspicious pattern, anomalies or deviations indicative or money laundering ...

ownership of architecting, building, and deploying modern data pipelines in Snowflake, dbt and Dagster You will lead the designing of scalable data models and machine learning models Key Responsibilities Pipeline & Architecture Ownership: Design and implement automated, modular transformation pipelines in a modern cloud data warehouse … following a clean, tiered physical data architecture (from raw ingestion to governed marts). Experience with machine learning models - Needs experience with ML development life cycle within Snowflake (Martech experience highly desirable) Governance & Security: Implement enterprise-grade data security standards, including automated quality testing, role-based access control ...

help scale and productionise machine learning solutions. You'll be responsible for building robust deployment pipelines, improving model monitoring, and ensuring ML systems are reliable, secure, and performant in production. Key Responsibilities Build and maintain ML deployment pipelines. Develop CI/CD processes for machine learning ...

across cloud, on-premises, hybrid and restricted environments. Who you'll work withAs a member of our AI Lab, you'll collaborate with senior machine learning engineers, software developers, platform engineers, and security and infrastructure specialists as well as scientific domain experts across Viridien. Learn more about … work and the team on our website, in a recent blog post featuring one of our senior machine learning engineers and from our Voices of Viridien. What you'll work onContribute to design and implementation of production architectures for agentic AI, LLM and vision-language applications. Adapt agent ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...