101 to 125 of 896 Machine Learning Jobs in London

enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class … Specification: Required: PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: reinforcement learning, Bayesian optimisation, AI agents, LLMs, VLMs. Proficiency in … Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast-paced, research-oriented environment with ambiguous and evolving goals. Excellent problem-solving, collaboration, and communication skills. Ability to lead a team of junior researchers and engineers. Passion for bridging fundamental AI research with impactful applications. What we offer More ❯

join our Product Listings team-focused on unlocking smarter, more scalable advertising through automation and optimisation. This is a hybrid role combining deep data science expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale to help optimise product bidding and maximise profit … across platforms like Google Shopping. Expect to work across the full ML lifecycle-from exploring large, messy datasets and engineering features, to evaluating models offline and running experiments to validate impact. At the same time, you'll build, deploy and monitor models in production: setting up retraining workflows, pipeline orchestration, and performance alerts. You will be supported in this by … your tech lead and colleagues from the wider Data Science chapter at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have tooling and More ❯

days/week in office) Up to £110k Shares Benefits A fast-growing Data & AI 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 projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll 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 we’re 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, and building multi-agent More ❯

teams to deliver high-quality, production-ready machine learning solutions. You'll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business. The Opportunity As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from … ensuring that models are deployed efficiently, monitored effectively, and continuously improved. This is a hands-on role where you'll influence the tools, frameworks, and culture that define how ML is delivered. You'll champion automation, testing, and reliability, helping to establish a best in class environment for experimentation and production at scale. Skills and Experience Solid track record of … building and deploying machine learning solutions in production environments Strong experience working with Python Proficiency in Azure Experience designing and maintaining CI/CD pipelines for ML workflows Familiarity with monitoring, testing, and automation in ML systems Senior MLOps Engineer More ❯

processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with … in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or … with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯

processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with … in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or … with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯

processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with … in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or … with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯

processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with … in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or … with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯

You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI … tools and best practices. Stay current with the latest AI and machine learning advancements. What You'll Bring Proven experience in AI and machine learning with a strong project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud More ❯

You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI … tools and best practices. Stay current with the latest AI and machine learning advancements. What You'll Bring Proven experience in AI and machine learning with a strong project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud More ❯

expertise in computer vision to design and deploy models that solve complex, real-world image challenges. This is a hands-on role where you'll experiment, build, and scale machine learning solutions, working closely with product and engineering teams in a fast-moving, high-growth environment. Key Responsibilities Develop and deploy computer vision models, with a focus on … image classification and quality scoring Apply machine learning techniques such as supervised learning and anomaly detection to visual data problems Work with large-scale, complex image datasets to create production-ready solutions Collaborate cross-functionally to ensure models are effectively integrated and deliver measurable impact Key Skills & Experience Proven experience with computer vision, particularly image classification and … quality assessment Strong grounding in machine learning and statistics Proficiency in Python and SQL Track record of building and deploying production-ready models Ability to thrive in fast-paced, scaling environments What We Offer Equity package, with performance-based bonuses Private healthcare Pension contribution This role is an excellent opportunity for a computer vision specialist looking to make More ❯

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

Infrastructure, they are now investing heavily in AI. Your new role.. You’ll be designing, developing and delivering training programs focused Conversational AI. You’ll be crafting interactive, engaging learning experiences for your participants, conducting hands-on workshops and training sessions. As an AI evangelist, you’ll ensure you’re up to date with all the latest advancements in … learning and natural language processing tech. What you’ll bring... You’ll have excellent prior experience in creating and delivering engaging training modules across either Generative AI, ML or Conversational AI. Experience delivering technical training to diverse audiences, ideally within a corporate or academic setting. Strong experience across AI and ML (Machine Learning). Technical knowledge … of Python and other AI/ML frameworks. The ability to simplify complex concepts for learners. Salary and benefits Salary is £50,000 basic. The role is hybrid – 2 or 3 days a week in central London and other days WFH. Benefits include – private health and dental care, 25 days holiday, birthday leave, life assurance x4 your salary, 100s of More ❯

solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in … and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable … deliver projects on time, to high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to More ❯

selling products - we want to solve problems and change lives through Monzo ️ Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our … customers' problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You'll work closely with the Product and Engineering in an agile product environment. You'll champion the use of data … how to build confidence with senior leaders across the business You have strong product knowledge and have built data products previously You have experience working with teams that build ML models and you understand how to build the right data set for ML models The interview process: Our interview process involves 3 main stages. We promise not to ask you More ❯

AI Research Engineer (LLM Python) London/WFH to £95k Do you have experience with Machine Learning, AI research and Python engineering? You could be progressing your career at a 'Tech for Good' start-up that is using AI models to help people focus on healthy living to extend their life, making personalised health risk assessments and connecting … most of the time, meeting up with colleagues in the London office once a week. About you: You have achieved a BSc or Masters degree in Computer Science, AI, Machine Learning or closely related discipline You have experience in Machine Learning, AI research or engineering roles You have strong Python programming skills You're comfortable running More ❯

AI Research Engineer (LLM Python) London/WFH to £95k Do you have experience with Machine Learning, AI research and Python engineering? You could be progressing your career at a "Tech for Good" start-up that is using AI models to help people focus on healthy living to extend their life, making personalised health risk assessments and connecting … most of the time, meeting up with colleagues in the London office once a week. About you: You have achieved a BSc or Masters degree in Computer Science, AI, Machine Learning or closely related discipline You have experience in Machine Learning, AI research or engineering roles You have strong Python programming skills You're comfortable running More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight … from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than 3 months) and willing to do so More ❯

understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight … from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than 3 months) and willing to do so More ❯

Director of Data Science/Machine Learning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with … portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance More ❯

Director of Data Science/Machine Learning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with … portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance More ❯

Director of Data Science/Machine Learning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with … portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance More ❯