101 to 125 of 2,566 Machine Learning Jobs in the UK

Описание: The company is a leading technology innovator focused on developing cutting-edge AI and machine learning solutions for various industries. Задачи: Develop, train, and optimise advanced computer vision and machine learning systems Deploy solutions in constrained edge environments Collaborate with cross-functional teams on project … delivery Contribute to the full lifecycle of machine learning model development. Требования: Proven experience as a Machine Learning Engineer Expertise in computer vision and machine learning techniques Experience with deploying models in edge environments Strong programming skills in relevant languages (e.g., Python) Ability ...

will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable ...

information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA’s Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures … Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously ...

outcomes. You will help shape AI strategies, design innovative solutions, and lead delivery from initial concept through to deployment and optimisation. Leveraging expertise across Machine Learning, Generative AI, Natural Language Processing, Computer Vision, and Advanced Analytics, you will develop solutions that improve decision-making, enhance customer experiences, optimise … aligned to organisational objectives • Lead the delivery of AI solutions from proof of concept through to production deployment and optimisation • Design, build, and implement Machine Learning, Generative AI, Natural Language Processing, and Advanced Analytics solutions • Conduct experimentation and model evaluation to validate approaches and improve solution performance • Translate ...

+ Bonus + Excellent Benefits We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

you. Job Description: As a Solution Architect (Artificial Intelligence), you will play a key role in shaping the design and delivery of AI and machine learning capabilities across the Air Sector. Working closely with technical and business stakeholders, you will define solution architectures that enable scalable, secure … programmes, ensuring solutions align with business objectives, technical standards and emerging AI best practices. Core duties: Lead the design and governance of AI and machine learning solution architectures, ensuring solutions are secure, scalable and cost-effective Architect end-to-end machine learning platforms and pipelines, embedding ...

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Platform Engineer based in United Kingdom. This role offers the opportunity to build and evolve the infrastructure powering advanced AI products used at enterprise scale. … future of AI platform capabilities. The position focuses on automation, reliability, performance optimization, and creating tools that improve how teams build and operate ML systems. You will collaborate closely with researchers and product engineers to transform technical challenges into robust platform solutions. This is an ideal opportunity for a systems ...

Google Cloud Platform Architect - AI/ML We're seeking an experienced AI/ML professional to join a growing GCP Practice team as an GCP AI/ML Practice Architect in a permanent position. In this role, you'll help design, develop, and deliver AI, Machine Learning … working closely with clients and delivery teams to translate business challenges into scalable, production-ready cloud solutions. Key Responsibilities Design and deliver AI/ML solutions leveraging GCP services including Vertex AI, BigQuery ML, AutoML, Gemini, Dataflow, and Cloud Storage. Develop, train, deploy, and integrate machine learning models ...

/ML Engineer (PhD graduate) As an AI/ML Engineer, you'll work on a diverse range of advanced research programmes where no two projects are the same. You'll investigate emerging machine learning techniques, develop novel algorithms and build proof-of-concept systems that address complex … technical challenges. Your responsibilities will include: Researching and evaluating state-of-the-art AI and machine learning techniques. Designing, implementing and training machine learning models for novel applications. Developing proof-of-concept systems and rapid prototypes. Designing experiments, analysing results and translating findings into practical engineering ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment … monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in 2025–2026. Responsibilities Train, evaluate, and deploy machine‐learning models in production. Work across LLMs, computer vision, recommender systems ...

from scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify ...

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...

lead, develop, and empower our Data and AI teams. This role balances leadership with technical excellence; you’ll define how data, analytics, machine learning, and generative AI enable the wider business. You’ll work closely with senior stakeholders, translating business objectives into a clear Data and AI strategy … measure the impact of Data and AI initiatives, data quality, model performance, adoption, and team effectiveness Drive best practices across data engineering, analytics, machine learning, data governance, experimentation, model monitoring, and responsible AI Ensure that AI solutions are robust, explainable, compliant, and aligned to business outcomes Support career ...

Senior through to Staff Machine Learning Engineers. Key Responsibilities Design, build and deploy production machine learning systems Own the full ML lifecycle, from data preparation through to training, evaluation and inference Turn research into reliable, production-ready ML solutions Optimise models for performance, latency, scalability … robust training and inference pipelines Debug complex production issues using real-world data and signals Mentor engineers and help drive engineering standards across the ML function Key Requirements Commercial experience building and deploying production ML systems Strong Python software engineering skills Experience training, fine-tuning or deploying modern machine ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

where every voice matters. The Position The Engineering - AI Enablement group, within Roche's Computational Sciences Center of Excellence, exists to make AI/ML an everyday utility for the scientists driving drug discovery. As a Senior Machine Learning Engineer, you will build, own, and continuously improve … scalable AI/ML systems, applications, and data infrastructure that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments. You will work across a cross-functional ecosystem of computational and research scientists, AI/ML experts, product leaders, and DevOps engineers, spanning ...

London, United Kingdom | Posted on 23/07/2026 Contract Role: Senior AI/ML Research Engineer Contract Location: London Contract Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Contract Classification: Inside IR35 Daily Rate breakdown Traditional Daily Rate: £600 The Senior AI/ML Research … Engineer will be a key member of the GenAI team within the Data & AI organisation, responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability ...

Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for: Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapting quickly to changing fraud and financial … crime trends, ensuring detection systems remain performant over time. Designing ML solutions that scale globally. You should apply if: What we’re doing here excites you: You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‐moving tech company. ...

Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for: Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapting quickly to changing fraud and financial … crime trends, ensuring detection systems remain performant over time. Designing ML solutions that scale globally. You should apply if: What we’re doing here excites you: You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‐moving tech company. ...

Commercial & Investment Bank, where you’ll harness cutting‐edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President – Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront … leading role in the design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning ...

optimise recommendation systems (e.g. personalised product recommendations, ranking, search optimisation) Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models Ensure scalability, performance, and reliability of ML systems within Azure cloud … datasets to extract insights and improve model accuracy Monitor model performance and retrain models to maintain effectiveness over time Contribute to best practices in ML engineering, deployment, and governance YOUR KEY SKILLS: Strong experience as an ML Engineer in a production environment Proven expertise with Azure (e.g. Azure ML, Databricks ...

supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands‐on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co‐define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do: Develop and deploy ML models, translating research into scalable, maintainable code ...

large self-supervised ones, supportingSpeechmaticstowards being the mostaccuratespeech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands-on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do Develop and deploy ML models, translating research into scalable, maintainable code ...

fine‐tuning, tailored to diverse product requirements. You will design and build production‐grade inference systems, working across Swift, Java, and Python to integrate ML capabilities seamlessly into Apple's ecosystem. As a senior technical contributor, you will set engineering standards, mentor engineers, and influence the technical roadmap for generative … features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams ...