276 to 300 of 932 Machine Learning Jobs in London

Platform Engineering Lead – London An AI-first organisation is applying frontier machine learning to help unlock deeper scientific insights, accelerate breakthroughs, and bring life-changing medicines to patients faster. Their mission is ambitious: to transform drug discovery and, ultimately, solve all disease. This is a rare opportunity to join an interdisciplinary team at the cutting edge of AI … the Head of Engineering to set long-term technical strategy Mentor team members and foster engineering best practices What We’re Looking For Essential: Proven track record building complex, ML-focused platforms Strong proficiency in Python Experience leading cross-team engineering efforts or overseeing multiple teams Ability to manage ambiguity and drive clarity across projects Comfortable integrating open-source and … third-party software Experience working closely with machine learning teams Nice to Have: Background in biotech, pharma, or AI-driven drug discovery Experience in both large organisations (with structured processes and metrics) and smaller/startup environments (delivering with limited resources) Knowledge of observability and reliability practices for product platforms Security or compliance experience Why Join? Be part More ❯

etc. Exposure to infrastructure-as-code tools like Terraform or containerization technologies such as Docker. Familiarity with Typescript to understand and work with existing codebases. Interest in aspects of machine learning operations (MLOps), integrating models, and developing data-driven products. Additional Notes What The More ❯

Job Title: Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require … Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001 … . Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Requirements: Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding More ❯

Job Title: Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require … Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001 … . Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Requirements: Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding More ❯

objectives into a strategic technical vision. Knowledge Essential Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of technology trends through pro-active horizon scanning, and understands how to assess More ❯

Role: ML & Cloud Infrastructure Engineer Salary: £140,000 - £160,000 + Equity Location: London - Hybrid (3-5 days a week) Our client is pioneering a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is to transform how industries from robotics and AR/VR to gaming and film create and interact with … 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform and practices in a fast-moving startup environment. The … role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents, ensuring reliability and performance Working closely with ML engineers and researchers to More ❯

Job Title: AI Engineer Job Description: We are looking for an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business … teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and More ❯

Job Title: AI Engineer Job Description: We are looking for an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business … teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and More ❯

Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies … like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting LLM's for different domains the better (although this isn't a must have) so someone who has worked in More ❯

Cloud & ML Infrastructure Engineer About Us We're a fast-growing startup building breakthrough AI technology at the intersection of 3D, computer vision, and spatial computing. Our work is shaping the way industries - from robotics and AR/VR to gaming and film - create and interact with immersive content. We thrive on bold ideas, fearless problem-solving, and a culture … be part of a team pushing the boundaries of what's possible in AI, we'd love to hear from you. The Role We're looking for a Cloud & ML Infrastructure Engineer to join our team. You'll play a key role in designing, building, and maintaining scalable systems that power cutting-edge machine learning workloads. From cloud … infrastructure to distributed training environments, you'll help lay the foundation for delivering next-generation AI solutions. Responsibilities Design, deploy, and maintain scalable, high-performance cloud-based infrastructure for ML workloads and APIs. Manage cloud platforms (AWS, Azure, GCP) including ML nodes for local development and distributed training. Install, configure, and monitor servers, ensuring smooth system performance. Optimize shared and More ❯

Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. … Experience working in AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement in AI communities. Proficiency in … and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training activities. Able to adjust training content and style based on industry, participant skill levels, and learning environments. To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment More ❯

Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. … Experience working in AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement in AI communities. Proficiency in … and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training activities. Able to adjust training content and style based on industry, participant skill levels, and learning environments. To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment More ❯

Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. … Experience working in AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement in AI communities. Proficiency in … and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training activities. Able to adjust training content and style based on industry, participant skill levels, and learning environments. To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment More ❯

Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. … Experience working in AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement in AI communities. Proficiency in … and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training activities. Able to adjust training content and style based on industry, participant skill levels, and learning environments. To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment More ❯

Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor's or Master's in Computer Science, Linguistics, AI, or related fields. … Experience working in AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (eg, Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement in AI communities. Proficiency in … and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training activities. Able to adjust training content and style based on industry, participant skill levels, and learning environments. To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment More ❯

Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency More ❯

expected behavior. Technical Skills & Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science … pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP … Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … with on-premise technologies from microsoft, ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds … as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

for AI agents similar to MLEBench and BFCL. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. More ❯

for AI agents similar to MLEBench and BFCL. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. More ❯