26 to 50 of 2,703 Machine Learning Jobs in England

About the Job ML Research PhD Expert Location: Remote Engagement Type: Hourly Contract Compensation: $60–$100/hour About the Opportunity This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR . You will contribute to advanced … learning, and problem-solving capabilities of next-generation AI systems. The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. Ideal Qualifications • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely ...

About the Job ML Research PhD Expert Location: Remote Engagement Type: Hourly Contract Compensation: $60–$100/hour About the Opportunity This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR . You will contribute to advanced … learning, and problem-solving capabilities of next-generation AI systems. The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. Ideal Qualifications • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely ...

products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility Take an active role … ML community, helping foster a culture of rigorous learning and experimentation We'd love to hear from you if you have An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experience Considerable experience productionising machine learning models, with strength in an area ...

+ Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high ...

Overview Machine Learning Research Engineer – NLP/LLM Expert. A brilliant opportunity for a machine learning research engineer to work on researching and investigating new concepts for industry-leading machine-learning software in Cambridge, UK. Ideally suited to those with a Ph.D. relating … cutting-edge machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We are committed to an inclusive ...

Near Real‐Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first‐class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model … experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases). Experience with ML/distributed ML frameworks like Ray, Spark‐MLlib, TensorFlow etc. Experience with real‐time scoring/evaluation of models with low latency constraints. Great coding ...

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...

Senior Machine Learning Engineer Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously … secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting‐edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised ...

build scalable, secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations … iterating on models before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including ...

Months long The Company They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where … advanced machine learning and AI solutions that drive measurable business outcomes. Develop, optimise, and deploy machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques ...

specific line between engineering and research teams. We operate as one cohesive unit, sharing tech stack, knowledge, and objectives. Our focus spans from fundamental ML research to commercial‐grade software development, offering diverse learning and impact opportunities. Your main responsibilities Work in the machine learning team … great fit looks like You have 2 or more years of experience as a machine learning engineer. You are familiar with several ML techniques, and have both theoretical ML knowledge and experience implementing different types of solutions. You are proficient in Python and have a good understanding ...

Senior Machine Learning Scientist London (Remote) The Company They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical … teams the opportunity to work on real-world AI challenges while delivering measurable business impact. The Role Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end. Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents ...

pipelines that support clinical-trial and real-world evidence programmes. This role sits within the Machine Learning function and works closely with ML Engineers, Data Scientists, Clinical Scientists and Imaging Specialists to ensure that research ideas are translated into reproducible model development workflows and clinically useful outputs. What … workflows. Work with clinical and scientific stakeholders to ensure model objectives are clinically meaningful. Train large models across GPUs and compute nodes, working with ML Engineers to improve performance and scalability. Work proactively, communicate progress clearly and identify risks early. Strong experience in machine learning research, with experience ...

Machine Learning or equivalent research/industry experience. Experience in scripting languages and pipelining tools. Experience in programming. Published work in a ML conference on the subject of robustness or image or video generation or classification. Quantitative experience in maths and statistics. Preferred qualifications: Experience in applying machine … robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, we will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID , and we are actively pursuing other ...

learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models. It now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle, from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation ML Infrastructure team builds scalable AI/ML infrastructure to accelerate the Simulator team in sustainably innovating and building state of the art simulations of realistic environments … control systems, and weather etc. We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and distributed training will ...

products. As part of the wider PDT leadership team, you’ll influence roadmap decisions, shape investment priorities, and act as the senior voice for ML and AI across the Cards business. Key Responsibilities Define the vision and direction for machine learning and AI across the Cards business, identifying … opportunities to improve customer experience and commercial performance Lead the performance and evolution of core ML systems including recommendations, ranking, search and personalisation Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability Drive the development of AI-powered product features, including LLM-based and generative ...

Machine Learning Consultant - Must have an Active DV Clearance - Hybrid Location: Bristol, London, Manchester or Cambridge Salary: £45,000 - £70,000 (DOE) Join one of the UK's leading Defence & Security practices, working on high impact programmes that support national security and help government organisations unlock value from … data, AI and machine learning. You will work alongside clients to solve complex challenges using cutting-edge AI, machine learning and data science techniques. You'll be involved throughout the project lifecycle, from understanding user needs and developing prototypes through to deploying scalable, enterprise-grade solutions. What ...

Machine Learning Engineer/Data Scientist (SC Cleared) Location: Hybrid (2-3 days per week onsite Victoria, London) Rate: £570 per day (Inside IR35) Security Clearance: Active SC Clearance is essential We're looking for an experienced Machine Learning Engineer/Data Scientist to take ownership … live supervised machine learning models already running in production within a government environment. This is not a greenfield data science role. You'll be responsible for assessing, operating, and governing existing models that support operational decision-making. The focus is on understanding how models have been built, evaluating ...

Senior Machine Learning Engineer Location: London Hybrid | Salary: £60-£80ph – Outside IR35 Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning … with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly ...

projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure Working with clients to take them on the journey, upskilling along … loop and can take ownership after you roll off the project Performing maturity assessments across clients’ Cloud/AI environments and recommending improvements Building ML strategy blueprints and advising clients on the different technology options Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations ...

financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers. At Hometrack, we are looking for an experienced Senior Machine Learning Engineer, to translate POC model code from data science and analytics into robust pipelines and live APIs. Responsibilities Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and monitoring their performance over time. Work closely with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services. Develop automated workflows for model retraining, testing ...

skills to fuel our technological advancements. We are seeking a Senior Data Scientist to join Primark’s Data Science & Measurement team, delivering advanced analytics, machine learning and experimentation solutions that drive measurable business value. Working with stakeholders across key business functions, you will solve complex commercial challenges using … data scientist with strong technical expertise, commercial awareness and a passion for turning data into actionable business outcomes. What you’ll do Advanced Analytics & Machine Learning Delivery: Lead the design, development and deployment of machine learning, optimisation and measurement solutions that solve complex business challenges ...

company to ensure the delivery of the applications is efficient Key stakeholder engagement Drive modern engineering practice Exposure to AI, Data platforms and machine learning Reduce strategic dependency Translate business needs into coherent technical strategy. Requirements: Knowledge of Cloud, APIs, CI/CD, Automation and Platform engineering Experience … security Stakeholder engagement experience Ability to govern architecture and engineering practices Government or highly regulated environment industry experience Exposure to data platforms and machine learning This is an urgent vacancy, so if you would like to be considered then please apply quoting reference AR(phone number removed). ...

machine learning workflows at scale. Working with high-volume data from proprietary sensors and devices, you will design and operate production-grade ML systems, ensuring strong experiment tracking, model lifecycle management, and scalable deployment across multiple healthcare domains. What You’ll Deliver in the First 6–12 Months … Build and productionize reusable MLOps components supporting scalable and reliable ML workflows. Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility. Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements. Deliver reliable production inference workflows powering real-world outcomes for Neko members. Partner ...