51 to 75 of 1,905 Machine Learning Jobs in the UK excluding London

that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for medical image analysis, working with a highly skilled team at the intersection of AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing … data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker … this position seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound … into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run … Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. Ability to write clean, maintainable, and well-tested code in a More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound … into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run … Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. Ability to write clean, maintainable, and well-tested code in a More ❯

in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture, direction, and delivery of advanced AI and Machine Learning initiatives. What youll do … Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate cutting-edge research into production-ready ML solutions, leveraging our graph-structured emissions models to understand complex supply chain relationships. You'll engage with technical stakeholders across industries, building scalable ML systems that drive decarbonisation at global … industrial and economic data into our database and to generate training data for our models Collaborate with climate mitigation scientists and process engineers to translate domain expertise into scalable ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools … to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical documentation and present ML methodology insights to both internal teams and external stakeholders Required Qualifications Master's or PhD in Computer Science, Machine Learning, Data Science, or related field More ❯

process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate cutting-edge research into production-ready ML solutions, leveraging our graph-structured emissions models to understand complex supply chain relationships. You'll engage with technical stakeholders across industries, building scalable ML systems that drive decarbonisation at global … industrial and economic data into our database and to generate training data for our models Collaborate with climate mitigation scientists and process engineers to translate domain expertise into scalable ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools … to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical documentation and present ML methodology insights to both internal teams and external stakeholders Required Qualifications Master's or PhD in Computer Science, Machine Learning, Data Science, or related field More ❯

for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost … love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support real-time ML … improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and More ❯

customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting … have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings. Design … scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML More ❯

customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting … have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings. Design … scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML More ❯

customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting … have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings. Design … scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML More ❯

re looking for an experienced C++/Python Developer with strong GPU integration experience to support the integration of a Python-based application into GPU kernels, helping accelerate complex ML workloads and workflows. This is a hands-on contract role for someone who thrives at the intersection of high-performance C++ development , machine learning , and infrastructure automation - working … memory management. Build and maintain containerised development and deployment workflows using Docker. Develop APIs and integrate with existing machine learning pipelines and back-end systems. Collaborate with ML engineers and DevOps teams to streamline model deployment and runtime performance. (Desirable) Integrate large language models (LLMs) such as ChatGPT or similar into products and services. Skills & Experience Required Essential … . Strong knowledge of GPU programming , memory management , and performance optimisation . Experience dockerising applications and working with container-based workflows. Experience building and integrating APIs for data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience with LLM integration More ❯

Senior Machine Learning Pricing Analyst - Nottingham/Hybrid - £60,000 - £70,000 This is an excellent opportunity within a growing commercial business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost … analysis to assist the business to drive growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates … with a commercial focus. Continuously evaluate and improve analytical methods using the latest AI and data science tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing problems. Strong communication skills, modelling ability, and familiarity with data visualisation tools such as More ❯

AI Engineer Up to £90,000 Salary Southern England x2 days per month OVERVIEW Xcede’s Data-driven Insurance client with an excellent Data Science, ML Engineering and MLOps team is hiring for an AI Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative … AI with multiple LLM-based projects in production across the company. In this role you will be responsible for building and deploying production level ML models for a breadth of interesting commercial projects. The role is end to end focused. Your responsibilities as a Machine Learning Engineer will include but not be limited to: Developing and deploying predictive … a particular focus on LLMs and RAGs. Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models. Building production level Machine Learning models and be hands on in deployment. Evaluating and select appropriate machine learning techniques and algorithms for solving commercial challenges. YOUR SKILLS & EXPERIENCE A successful More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models … the best and brightest minds from across tech and finance to help us achieve our aim. Senior AI Engineer We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient … in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the research team to design, develop, implement, and train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models … the best and brightest minds from across tech and finance to help us achieve our aim. Senior AI Engineer We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient … in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the research team to design, develop, implement, and train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models … the best and brightest minds from across tech and finance to help us achieve our aim. Senior AI Engineer We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient … in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the research team to design, develop, implement, and train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and More ❯

Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference Aug 11, 2021 Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference I am looking for researchers to my new team in Manchester, UK, funded by the UKRI Turing AI World-Leading Researcher Fellowship programme "Human-AI Research Teams - Steering AI in Experimental … . Closing date of call: September 6, 2021. The research is fundamental research in probabilistic modelling and Bayesian inference, applied to the exciting problems of how do we steer machine learning systems. Particularly challenging is to steer when we cannot (yet) precisely specify our goal, and ultimately we would like to have machine learning systems that … link to the application portal: Because we are there Great university, with fluent collaboration with outstanding groups of application fields It is the place to be right now for machine learning. New Fundamental AI Research Centre with several new academics is being launched, on top of the already wide AI activity including Turing Institute partnership with 27 Turing Fellows More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

to enhance vehicle performance, optimize race strategies, and advance driver safety in the high-speed world of motorsports. The ideal candidate will have a strong background in AI and machine learning, with a keen interest in applying these technologies to revolutionize racing. Role Responsibilities: Develop and implement AI models to analyse real-time and historical race data, improving … vehicle performance and strategic decision-making. Collaborate with engineering teams to integrate AI-driven solutions into vehicle design and race operations. Utilize machine learning algorithms to predict race outcomes, optimize pit stop strategies, and enhance driver performance. Stay abreast of the latest advancements in AI and motorsport technologies, applying innovative solutions to maintain Lola's competitive edge. Create … reliability and effectiveness in race conditions. Contribute to wider application of AI across the business Technical Skills required: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying AI models, preferably within high-performance or real-time environments. Proficiency in programming languages such as Python More ❯

to enhance vehicle performance, optimize race strategies, and advance driver safety in the high-speed world of motorsports. The ideal candidate will have a strong background in AI and machine learning, with a keen interest in applying these technologies to revolutionize racing. Role Responsibilities: Develop and implement AI models to analyse real-time and historical race data, improving … vehicle performance and strategic decision-making. Collaborate with engineering teams to integrate AI-driven solutions into vehicle design and race operations. Utilize machine learning algorithms to predict race outcomes, optimize pit stop strategies, and enhance driver performance. Stay abreast of the latest advancements in AI and motorsport technologies, applying innovative solutions to maintain Lola's competitive edge. Create … reliability and effectiveness in race conditions. Contribute to wider application of AI across the business Technical Skills required: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying AI models, preferably within high-performance or real-time environments. Proficiency in programming languages such as Python More ❯