451 to 475 of 2,070 Machine Learning Jobs in the UK

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer … innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create ...

integrity, innovation and a willingness to challenge consensus. The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures and other state-of-the-art frameworks — and the ability to turn that knowledge into high … impact, production-ready solutions. The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with ...

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 ...

built on our Power BI and Microsoft Fabric analytics platform. Over time, the role will expand into other innovative data solutions, including AI- and machine learning-driven insights and other statistical techniques. This role requires close collaboration with product managers, product owners, data engineering, and other internal … capabilities, including personalization. Design, and at times build, analytics content within our Power BI and Microsoft Fabric environment. Identify opportunities to apply AI and machine learning — such as natural language querying, automated insights, or predictive analytics — within the GRC analytics experience. Assist in the upskilling of the Custom ...

11388Location: London, England, GBType: PermanentPosted: 2026-05-29Senior ML Systems Engineers – Vision ML/Visual Data Processing Data PlatformA privately backed AI technology company operating at the intersection of machine learning in the media industry. You will own core ML infrastructure end to end, from data ingestion … large-scale multimodal datasets (video, embeddings, metadata).This is not a research role. The focus is on productionising models, building reliable platforms, and making ML systems fast and scalable in a real production environment. The ideal profile is an ML engineer transitioning from research into platform ownership – someone ...

term, obtain stakeholder buy in, and translate problems in the business into actionable research objectives. You'll collaborate and work with all aspects of ML and cybersecurity, across a large enterprise and complex data problems in size (trillions of events a day), asperity, and the dynamic nature of an active … staff and budget planning, and disseminate key milestones to the business leaders. Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systemsStay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoptionCollaborate with cross-functional teams including security research, engineering ...

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. -- Required: experience training ML models end to end (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/SPH001 ...

time to join us and help shape the future of travel. Introducing the Trainline MLOps Team Our MLOps team helps machine learning (ML) and AI teams across Trainline build, launch and run their products reliably. As a Senior MLOps Engineer, you will help shape how we operate … ML systems, including the infrastructure and tooling behind our internal ML/AI platforms and our customer-facing products. You will work on systems that are already being built and used across Trainline, so your impact will be real and visible. No two weeks look the same ...

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 ...

clients and with the communities in which we work and live. It is personal to all of us." – Julie Sweet, Accenture CEOKey responsibilities · Deploy machine learning models to production and implement measures to monitor their performance · Implement ETL pipelines and orchestrate data flows using batch and streaming technologies … Infrastructure as Code tools (e.g. Terraform or CloudFormation) · Strong understanding of data modelling and system architecture · Demonstrable experience on at least one AI/ML project · Knowledge of common machine learning frameworks and models · A good understanding of approaches to monitoring ML models in production · Experience leading ...

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 ...

clients, understanding their needs, and translating them into effective outcomes. RequirementsKey Responsibilities Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine … deploy AI-powered services Contribute to architecture decisions and technical roadmaps Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning ...

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 ...

phase of growth and help change an industry for the better. About the teamGenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Director, AI ML & Cloud Security Why Us! At GSK, we unite science, technology and talent to get ahead of disease together. We are a global biopharma company with a special … learning security capability GSK deploys. You own the agentic framework that is modernising security services across the Chief Security Office, the AI and ML platform, and the data fabric that that Cyber Architecture and Solutions designs and builds and a managed service vendor operates. You own the AI security ...

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 ...

678Skills: AI Engineering, AI/ML Solution Design, AWS, Agentic AI, Azure, CI/CD Tooling, Cloud Architecture Design, Cloud-native AI Platforms, Docker, GCP, Generative AI, Innovation Leadership, Kubernetes, LangChain, LlamaIndex, MLOps, MLflow, Orchestration Frameworks, RAG Pipelines, Stakeholder ManagementSenior AI Engineer - Consulting Office location to choose from: Glasgow, London … responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks, governance ...

parts of the AI stack and help establish best practices for shipping AI features in enterprise SaaS.What You Will Be DoingDesign and implement ML models to improve document parsing, search, classification, and summarisation. Integrate large language models (LLMs) into core product workflows, with emphasis on reliability, performance, and guardrails against …/OpenSearch, S3).Ensure models meet scalability, security, and compliance requirements for enterprise SaaS deployments. Stay current on advancements in NLP, LLMs, and applied ML; bring innovations into production when appropriate. Contribute to documentation, code reviews, and knowledge sharing across the engineering organisation. Must-Have Requirements5+ years of proven experience ...

Senior ML Platform Engineer - Artificial Intelligence Location London Business Area Engineering and CTO Ref # 10049302 Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery … expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial ...

Looking ForProven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment … numerate discipline. Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early-career data talent,Why Join CapcoDeliver innovative, high-impact data solutions for Tier 1 financial institutions. Work ...

lead development and deployment of cutting-edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. You will lead the bridge between AI research and real-world impact by architecting scalable, production-grade … reinforce our industry leadership in practical, high-stakes AI safety. What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI modelsDesigning and building production-grade ML software, tools, and scalable infrastructureDefining and implementing best practices and standards ...