2,426 to 2,450 of 3,941 Machine Learning Jobs in the UK

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine learning algorithms and computational models, powering the next … wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level systems programming and ML optimization to be part of a team that is reshaping the future of technology. The … Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the ML optimization team, you will be responsible for developing and fine-tuning GPU-level solutions that accelerate machine learning training and inference. This involves working on the More ❯

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine learning algorithms and computational models, powering the next … wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level systems programming and ML optimization to be part of a team that is reshaping the future of technology. The … Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the ML optimization team, you will be responsible for developing and fine-tuning GPU-level solutions that accelerate machine learning training and inference. This involves working on the More ❯

are looking for an exceptional Science Manager to join our Applied Science team and help develop the next generation of edge models, optimize them, and co-design with custom ML hardware based on a revolutionary architecture. Work hard. Have fun. Make history. Key job responsibilities Manage a team of 5+ scientists working on quantize, prune, distill, and finetune Gen AI … in training (preferably pretraining) Gen AI models. Foster collaboration with the compiler team, fellow applied scientists in the finetuning team, hardware architects, and product teams to build the best ML-centric solutions for our devices. Support team publications in open source and represent Amazon at key ML conferences such as NeurIPS, ICLR, and MLSys. BASIC QUALIFICATIONS 3+ years of experience … managing scientists or machine learning engineers. Knowledge of ML, NLP, Information Retrieval, and Analytics. Knowledge of machine learning approaches and algorithms. PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business applications. Experience building complex software systems involving deep learning, machine learning, and computer vision that have been successfully More ❯

your career and the solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate at the intersection of data … science, technology, and business strategy. Key Responsibilities Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics Design and run experiments with generative AI models across text, images, audio, and video Consult on and implement algorithms for content generation Define strategies to embed, scale, and optimize Machine Learning (ML) models in production environments … Stay up-to-date with emerging research and techniques in AI and Machine Learning (ML) Business Impact & Collaboration Understand business requirements and support the development of use cases Run discovery analytics to identify opportunities for innovation Partner with engineers to deploy Machine Learning (ML) algorithms that deliver measurable value Contribute to sales activities by providing data More ❯

a highly motivated Research Scientist to lead work in knowledge and semantics. This role offers the opportunity to lead a specialist R&D team working at the intersection of machine learning, NLP, and graph technologies, contributing to real-world challenges across defence, security, and commercial sectors. Key Responsibilities: Lead a team of researchers and engineers across projects involving … NLP, knowledge graphs, and LLM applications Design and deliver research programmes, collaborating with universities and innovation partners Develop prototypes, proof of concepts, and technical solutions in graph machine learning and semantic technologies Secure funding through successful proposal writing and manage stakeholder engagement Contribute to multi-disciplinary teams including work in reinforcement learning, computer vision, RF & EW, and … minimum of 4 years’ postdoctoral or commercial research experience Proven leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch More ❯

a highly motivated Research Scientist to lead work in knowledge and semantics. This role offers the opportunity to lead a specialist R&D team working at the intersection of machine learning, NLP, and graph technologies, contributing to real-world challenges across defence, security, and commercial sectors. Key Responsibilities: Lead a team of researchers and engineers across projects involving … NLP, knowledge graphs, and LLM applications Design and deliver research programmes, collaborating with universities and innovation partners Develop prototypes, proof of concepts, and technical solutions in graph machine learning and semantic technologies Secure funding through successful proposal writing and manage stakeholder engagement Contribute to multi-disciplinary teams including work in reinforcement learning, computer vision, RF & EW, and … minimum of 4 years' postdoctoral or commercial research experience Proven leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch More ❯

a highly motivated Research Scientist to lead work in knowledge and semantics. This role offers the opportunity to lead a specialist R&D team working at the intersection of machine learning, NLP, and graph technologies, contributing to real-world challenges across defence, security, and commercial sectors. Key Responsibilities: Lead a team of researchers and engineers across projects involving … NLP, knowledge graphs, and LLM applications Design and deliver research programmes, collaborating with universities and innovation partners Develop prototypes, proof of concepts, and technical solutions in graph machine learning and semantic technologies Secure funding through successful proposal writing and manage stakeholder engagement Contribute to multi-disciplinary teams including work in reinforcement learning, computer vision, RF & EW, and … minimum of 4 years' postdoctoral or commercial research experience Proven leadership of R&D teams (minimum of 5 developers) Strong background in NLP, text mining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch More ❯

that the interaction satisfies some criteria . Based on this, a subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference … the requirements for a new use case and work out suitable solutions to the problem. Work with the models part of the team to specify what new or changed ML models are required to provide the foundation of the solution Build on top of the developing model, additional logic to interpret, combine or otherwise enhance the information provided to the … successfully solves the problem, and work to deploy it in a real-life customer environment Qualifications: Essential Strong software engineering and programming skills in Python and ideally in an ML/CV environment ( Numpy , OpenCV) Experience with CI/CD systems , with a test-driven development approach In-depth k nowledg e of Linux operating systems Strong communication skills, both More ❯

Head of Data and Analytics Machine Learning, AI, Python, Business Inteligence, Power BI, Snowflake Opportunity to join a Not-for-Profit organisation who are creating a new Data Division. Currently Data Analysis is reactive. Move towards a proactice data department with the remit to create value from the unique data points this organisation is generating. Responsible for … strategic growth, data governance and line management . Background with BI/Business Intelligence using tools such as Power BI, Tableau, Qlik Experience of launching projects using AI/ML Hands-on skills with SQL, Python and from a Proof of Concept basis, Statistical Analysis (forecasting/Data Science) and genrating models for ML 3 days a week in the More ❯

Are you excited by the challenge of teaching robots how to understand and manipulate the physical world? Do you want to build real systems that use machine learning and perception to grasp and interact in unstructured and unknown environments? Do you thrive in fast-paced, multidisciplinary teams solving hard problems? If so, you'll fit right in at … perform autonomous manipulation in the harshest and most complex environments imaginable. We're looking for a Machine Learning Robotic Manipulation Engineer to lead development of the core ML-based grasping stack for our robotic capture system. In this role, you'll research, design, and implement models and pipelines that enable perception-driven grasp planning-bridging the gap between … computer vision, motion planning, and real-world physical interaction with unknown objects. You'll work closely with Machine Vision, Robotics, Hardware, Systems, and Software teams, to take your models from the lab to orbit-from simulation to flight. If you're passionate about robotics and want to see your work in action, this is the role for you. What More ❯

processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. … journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong … coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image processing techniques. Working knowledge of cloud computing (preferably More ❯

processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. … journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong … coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image processing techniques. Working knowledge of cloud computing (preferably More ❯

integration. Contribute to innovation through research exploration and proposal development. Required Skills: MSc/PhD (or equivalent experience) in Computer Science, Engineering, or related field. Hands-on experience deploying ML models on embedded hardware. Strong background in audio signal processing and machine learning. Proficient in Python and C++ for embedded development. Strong communication and collaboration skills, with experience planning … technical work. Nice to Have: Research publications or open-source contributions in ML/AI. Experience with knowledge distillation, federated learning, or model compression. Familiarity with embedded Linux, multi-threaded programming, and CI tools. If you’re an AI Researcher/Embedded AI Engineer or hold the relevant experience and are interested in this exciting opportunity, please do apply … If you are interested in another other AI/ML and Computer vision roles, please reach out to Oscar Harper at IC Resources. More ❯

and Decision Support capability within a forward-thinking and innovative organisation. This team delivers cutting-edge solutions across a range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language models), knowledge graphs … This includes both traditional computer vision and remote sensing applications. About the Role The successful candidate will bring deep expertise in at least one core area of AI/ML, while also maintaining a broad understanding across multiple domains to support and guide colleagues. The role combines technical leadership with mentoring responsibilities, and involves close collaboration with customers, partners, and … engineering assurance activities to uphold technical excellence across bids and project documentation. Essential Skills and Experience: PhD in a relevant field, with approximately 10+ years' experience in AI/ML roles across industry or academia - ideally with exposure to the Defence sector. Proven leadership of research and development teams (minimum of five team members). Experience in engineering assurance and More ❯

and Decision Support capability within a forward-thinking and innovative organisation. This team delivers cutting-edge solutions across a range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language models), knowledge graphs … This includes both traditional computer vision and remote sensing applications. About the Role The successful candidate will bring deep expertise in at least one core area of AI/ML, while also maintaining a broad understanding across multiple domains to support and guide colleagues. The role combines technical leadership with mentoring responsibilities, and involves close collaboration with customers, partners, and … engineering assurance activities to uphold technical excellence across bids and project documentation. Essential Skills and Experience: PhD in a relevant field, with approximately 10+ years' experience in AI/ML roles across industry or academia - ideally with exposure to the Defence sector. Proven leadership of research and development teams (minimum of five team members). Experience in engineering assurance and More ❯

and Decision Support capability within a forward-thinking and innovative organisation. This team delivers cutting-edge solutions across a range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language models), knowledge graphs … This includes both traditional computer vision and remote sensing applications. About the Role The successful candidate will bring deep expertise in at least one core area of AI/ML, while also maintaining a broad understanding across multiple domains to support and guide colleagues. The role combines technical leadership with mentoring responsibilities, and involves close collaboration with customers, partners, and … engineering assurance activities to uphold technical excellence across bids and project documentation. Essential Skills and Experience: PhD in a relevant field, with approximately 10+ years' experience in AI/ML roles across industry or academia - ideally with exposure to the Defence sector. Proven leadership of research and development teams (minimum of five team members). Experience in engineering assurance and More ❯

Experience: 2+ yrs experience building production-grade AI models Strong proficiency with Python, and familiarity with AI libraries/frameworks Experience with real-time event forecasting. Solid understanding of machine learning techniques, with the ability to select and apply the right models to business problems Proven hands-on experience in developing production-grade machine learning products, preferably in one or more of the following areas: demand prediction, computer vision or optimisations Familiarity with the AWS cloud platform, particularly with AI/ML services such as SageMaker, Lambda, and related data processing tools Strong foundations in mathematics, statistics, and modelling, with a keen ability to interpret data patterns and derive relevant insights Ideally More ❯

Experience: 2+ yrs experience building production-grade AI models Strong proficiency with Python, and familiarity with AI libraries/frameworks Experience with real-time event forecasting. Solid understanding of machine learning techniques, with the ability to select and apply the right models to business problems Proven hands-on experience in developing production-grade machine learning products, preferably in one or more of the following areas: demand prediction, computer vision or optimisations Familiarity with the AWS cloud platform, particularly with AI/ML services such as SageMaker, Lambda, and related data processing tools Strong foundations in mathematics, statistics, and modelling, with a keen ability to interpret data patterns and derive relevant insights Ideally More ❯

Research Scientist - Knowledge & Semantics £60000 - 70000 GBP 10% bonus Hybrid WORKING Location: United Kingdom (East of England) Type: Permanent Research Scientist - Knowledge & Semantics AI Research | NLP, Knowledge Graphs, Graph ML, LLMs | National Security & Defence | Hybrid UK Fantastic opportunity for a curious and motivated researcher to join a leading-edge AI team delivering applied research across national security, defence, and public … sector innovation programmes. You'll be part of a highly collaborative R&D environment, working alongside specialists in natural language processing (NLP), graph machine learning, and large language models (LLMs). This is an ideal role for someone with a strong academic background who's keen to develop impactful, real-world AI solutions. What's on offer: Competitive … you'll bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present More ❯

Head of AI Salary: £110,000-£130,000 + equity/benefits Location: London - 4 days a week in office Manage and lead a dynamic team of Machine Learning … Engineers working on high-impact, computer vision models in the media and gaming space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and … manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in leading projects across Computer Vision Management and leadership experience is required Excellent communication skills with proven experience working with stakeholders Previous startup experience is preferred More ❯

Head of AI Salary: £110,000-£130,000 + equity/benefits Location: London - 4 days a week in office Manage and lead a dynamic team of Machine Learning … Engineers working on high-impact, computer vision models in the media and gaming space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and … manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in leading projects across Computer Vision Management and leadership experience is required Excellent communication skills with proven experience working with stakeholders Previous startup experience is preferred More ❯

point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models.This role will primarily focus on our UK Cards business, but through … all areas of Lendable. Our team keeps up with the latest advancements in the industry through regular journal clubs. Our team's objectives The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations … team and business Key Skills Knowledge of machine learning techniques and their respective pros and cons. Ability to communicate complex topics clearly and concisely Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow. Curiosity, creativity, resourcefulness and a collaborative spirit Interest in problems related to the financial services domain - a knowledge of Credit More ❯

+ 10% bonus A leading defence and intelligence organisation is looking for a Research Scientist to lead cutting-edge work in Knowledge Graphs, NLP, LLM applications , and Graph Machine Learning . Key Responsibilities: Lead and deliver innovative R&D in AI, semantics, and decision support Guide a team of researchers (5+ developers) and manage technical delivery Develop proof … academic and industry partners Present findings to technical and non-technical stakeholders What You'll Need: PhD with 4+ years post-PhD experience Strong Python programming skills Experience with ML frameworks (e.g. PyTorch, TensorFlow) Proven track record in team leadership and proposal writing Expertise in NLP, LLMs, knowledge graphs, or graph ML Desirable Skills: Tools: PyTorch-Geometric, PyKeen, Neo4j Languages … SQL, Cypher Familiarity with causal ML, neuro-symbolic AI, or semantic reasoning Join a team where your research powers real-world innovation across defence, security, and commercial domains. Reference: AMC/JMR/RKS #jamc More ❯

/Python Developer will use their knowledge across Python, cloud technologies (AWS), databases, Kubernetes, Terraform and microservice architecture to design and build key platforms for the business, that utilise Machine Learning and AI to analyse complex medical imaging data. The Company The Senior Software Engineer will join an innovative Machine Learning MedTech company with offices in … working in other regulated industries that require documentation would be applicable Experience of developing applications that process complex data such as imaging or video, especially those that have an ML or AI component would be highly beneficial The list above is important, but not as important as hiring the right person! So if you don't meet all of the More ❯

/Python Developer will use their knowledge across Python, cloud technologies (AWS), databases, Kubernetes, Terraform and microservice architecture to design and build key platforms for the business, that utilise Machine Learning and AI to analyse complex medical imaging data. The Company The Senior Software Engineer will join an innovative Machine Learning MedTech company with offices in … working in other regulated industries that require documentation would be applicable Experience of developing applications that process complex data such as imaging or video, especially those that have an ML or AI component would be highly beneficial The list above is important, but not as important as hiring the right person! So if you don't meet all of the More ❯