1 to 25 of 1,799 Remote Machine Learning Jobs in the UK

planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Machine Learning (ML) Engineer II, you will be responsible for developing AI Labs' machine learning platform and creating production-ready AI-based solutions for key impact … libraries according to the technology and product roadmaps. You will work collaboratively with application engineering, product, and business stakeholders to develop principled and innovative ML solutions from research to POC to production. You will also serve as an expert within Parexel, driving AI education and providing expert guidance to other … parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back-end/server-side software to support AI solution development and More ❯

speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE … Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible … for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting … datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized … science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a 'data engineer'. You have worked More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions … that utilize customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out … to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

pipelines, transforming experimental models into scalable, production-ready systems while closely collaborating with the Product Design and Engineering (PDE) team to create impactful ML-driven products in the healthcare setting. In addition to optimizing infrastructure, automating workflows, and ensuring seamless integration from model development to deployment, you will play … mission of saving lives. Key Responsibilities: Ownership of Machine Learning Infrastructure: Develop, deploy, and maintain scalable pipelines for both Circadia's proprietary ML models and off-the-shelf solutions. Optimize model training and inference workflows to handle large-scale, real-time data efficiently. Design robust model monitoring systems … to track performance, detect drift, and ensure reliability. Implement infrastructure to support the experimentation and productionization of ML models cost-effectively in AWS and Snowflake. Building and Deploying ML-Driven Products: Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products. More ❯

causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines , machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place … our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a motivated and high-achieving Lead Machine Learning Engineer to join our Product team in London. In this leadership role, you will spearhead the development of our Causal AI platform … a plus). Experience in developing Large Language Models (LLMs) is advantageous. In-depth understanding of computer architecture and its implications on AI/ML performance. Comprehensive knowledge of the software development life cycle, including best practices in version control, testing, and deployment. Proven ability to lead and mentor teams More ❯

Job Title: Machine Learning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machine learning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is … of mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies. Job Description: We are seeking a highly skilled Machine Learning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject … strictest confidence, and we will always speak to you before discussing your CV with any potential employer. Keywords: PhD, AI, Cambridge, Adecco, LLM, NLP, ML More ❯

mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯

mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯

mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯

end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and … collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering … machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, Git actions More ❯

turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation … and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring: You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. … PhD in related subjects. Extensive machine learning research background and experiences. Academic publications in machine learning related conferences or journals. ML product development experiences for content discovery on large scale customer-facing clients/devices. Team overview: Global Product We're the Global Product. We're More ❯

Revolutionising Healthcare Through Machine Learning. The field of machine learning has advanced far beyond the futuristic ideas portrayed in Sci-Fi films like Robocop and Transformers. Today, machine learning represents a groundbreaking tool in healthcare and pharmaceuticals, offering solutions to transform patient outcomes and advance … the industry. This is your opportunity to join a brand-new Machine Learning team within one of Europe's fastest-growing AI start-ups. Their mission? To develop cutting-edge AI solutions that tackle the unique challenges in healthcare and pharma, delivering scalable innovations that improve drug development … diagnostics, and treatment delivery. Based in vibrant offices in Barcelona or Madrid, you'll work at the forefront of machine learning, creating tools for model training and evaluation that power transformative healthcare applications. Collaborating closely with Data Scientists and Engineers, you'll produce advanced AI solutions while optimizing More ❯

At Speechmatics, we are searching for a Director of Machine Learning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machine learning for speech, our mission is to Understand Every Voice-a vision that … steer our innovation in Conversational AI and guide us on the path to achieving and surpassing the "Speech-first Turing Test." As Director of ML, this is your chance to make an impact on a global scale. You will lead and inspire world-class teams of researchers and machine learning engineers, driving breakthroughs that will shape the future of AI-driven speech technology. What you'll be doing: Shape and articulate a forward-looking vision for Machine Learning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯

At Speechmatics, we are searching for a Director of Machine Learning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machine learning for speech, our mission is to Understand Every Voice-a vision that … steer our innovation in Conversational AI and guide us on the path to achieving and surpassing the "Speech-first Turing Test." As Director of ML, this is your chance to make an impact on a global scale. You will lead and inspire world-class teams of researchers and machine learning engineers, driving breakthroughs that will shape the future of AI-driven speech technology. What you'll be doing: Shape and articulate a forward-looking vision for Machine Learning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million … will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the … As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising. Candidates must be able to work with data in Python, and have an understanding of statistical concepts More ❯

work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million … will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the … As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising. Candidates must be able to work with data in Python, and have an understanding of statistical concepts More ❯

gas emissions), while maximising quality (minimising lost parcels and maximising on-time delivery). As we scale our network, we will increasingly rely on machine learning to drive these properties. Some typical use cases include Identifying couriers having a tough time on the road, so that our operations … delivered to a safe place will be lost or stolen before its recipient can take possession of it. We're looking for an exceptional machine learning engineer to join our engineering team. In this role, you can expect to Build our machine learning engineering discipline from … with fellow technologists (data scientists, backend and mobile engineers) as well as with members of our operations teams Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. You might be a great fit for this role if You have deep More ❯

, multi-agent systems, and simulation at scale? We want to hear from you! At Locus Robotics, we're developing advanced simulation tools and ML systems to optimize the behavior of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL … to drive innovation in logistics, robotics, and beyond. You'll collaborate with a highly skilled team of engineers and data scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML … machine learning models with existing infrastructure and data pipelines. Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization. Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage machine learning workloads More ❯