326 to 350 of 2,943 Machine Learning Jobs in London

developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part … analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video ...

instrumentation. Proficiency in programming (e.g., Python) for scientific data analysis, automation scripting, or instrument interfacing. Foundational understanding of computational materials science or exposure to machine learning workflows in physical sciences. Familiarity with Laboratory Information Management Systems (LIMS), electronic lab notebooks, or structured research data pipelines. About … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Conduct structural, compositional, and physical property characterization across ...

leading UK technology training provider that is growing its Data Science and AI delivery team on government-facing programmes. You'll deliver GenAI, machine learning and Python training to public sector and enterprise learners. You'll also help shape how the courses are built, rather than just teaching … Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary:£70,000 - £80,000 Home-based, with travel to training centres and client sites (Cheltenham region ...

joining a team with access to cutting‐edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise. We embrace modern ML tooling, including agentic workflows, to accelerate the pace of research iteration. This is an opportunity to push the boundaries of what generative modelling can achieve in complex … fidelity, and utility in guiding real‐world interventions. Communicate findings clearly to colleagues and stakeholders from different disciplines. Professionally, you will have PhD in ML, statistics, computer science, or a related quantitative field. Deep expertise in generative modelling. Strong foundations in probabilistic modelling, representation learning, or neural network architectures ...

cutting-edge technology company specializing in artificial intelligence and machine learning solutions with a focus on computer vision. Our mission is to revolutionize how visual data is processed and interpreted, enabling businesses and individuals to harness the power of AI in innovative and practical ways. We are driven … pushing the boundaries of what AI can achieve while maintaining ethical standards and user-centric design. What the job entails The AI Engineer (ML/Computer Vision) role is pivotal in advancing our AI capabilities by designing, developing, and optimizing machine learning models specifically tailored for computer vision ...

Braunford LLP based in Greater London is seeking a Researcher in Machine Learning to join their dynamic team. The role involves developing and testing innovative machine learning algorithms using real-world data, with a focus on tackling complex quantitative finance problems. Candidates should have a post … graduate degree in machine learning or related fields, exceptional programming skills in Python, and a proven success record in data science competitions. The position offers competitive compensation, annual leave, and various perks such as lunches and a strong work-life balance. #J-18808-Ljbffr ...

threats. The organisation combines cybersecurity expertise, proprietary solutions, and technology partnerships to deliver tailored security services across various sectors. The organisation is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. This role focuses on building and evaluating … agentic systems, improving machine learning models and workflows, analysing performance, and researching security challenges such as adversarial attacks and offers the opportunity to work on cutting-edge AI technologies, influence product development, and collaborate with researchers, engineers, and security specialists. Responsibilities Designing and building evaluation frameworks ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified candidates will have … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets Leading a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment with the support … data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities Support the implementation of advanced analytical and AI-driven solutions where appropriate Stakeholder Engagement Communicate analytical findings clearly ...

intelligent automation platforms The ideal candidate will combine strong expertise in software test engineering with handson experience validating AI models LLM based applications machine learning systems and data driven solutions across the full development lifecycle.Hybrid working :The places that you work from day to day will vary according … that you will be unable to work at home 100% of the time.Your Role:Define and implement end-to-end testing strategies for AI Machine Learning and Generative AI solutionsLead QA activities across AI product development ensuring quality reliability performance security and complianceDesign and execute test plans ...

demand than we can serve, and are looking for exceptional people to take ownership from day one. About The Role As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state‐of‐the‐art models to automate various real world problems in sectors … RAG. Have at least a high level familiarity with the architecture and operation of large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

mechanisms using enterprise identity providers. Collaborate with UX, Product and Business stakeholders to translate requirements into usable solutions. Test and operationalize predictive models and machine learning solutions. Collaborate with business stakeholders to identify opportunities for optimization, forecasting, automation and intelligent decision support. Support the deployment of machine learning models into production environments using MLOps practices. Work with structured, semi-structured and streaming data to generate actionable insights; Contribute to AI-enabled solutions including Generative AI, Agentic AI, NLP, forecasting and optimization where appropriate; Apply Infrastructure-as-Code principles to support repeatable cloud deployments. Build dashboards ...

related biomedical field with strong and demonstrable computational skills developed through research or applied practice. Documented and measurable impact applying computational or AI/ML methods in a vaccine development, infectious disease, or closely adjacent research setting, whether through academic research, industry, or applied public health work. Practical experience applying … substantial self‐directed work, as long as it is concrete and demonstrable. Sufficient coding skills, Python preferred, to work independently with AI/ML pipelines, LLMs, APIs, data analysis pipelines, and agentic workflows. Ideally, experience with version control and collaborative development practices. At least one peer‐reviewed publication ...

Senior Data Scientist, you will design, build and validate AI and machine learning models that help tackle some of the hardest problems in discovering and developing new treatments. You will turn large language models, retrieval systems and agentic AI into reliable products for colleagues across Research & Development … vector databases, embedding pipelines and knowledge bases that support RAG and document understanding. Work closely with partners and collaborators to turn AI/ML algorithms and models into products, and create the technical documentation, runbooks and training materials that keep them well used and maintained. Stay current on GenAI ...

related biomedical field with strong and demonstrable computational skills developed through research or applied practice.* Documented and measurable impact applying computational or AI/ML methods in a vaccine development, infectious disease, or closely adjacent research setting, whether through academic research, industry, or applied public health work.* Practical experience applying … substantial self-directed work, as long as it is concrete and demonstrable.* Sufficient coding skills, Python preferred, to work independently with AI/ML pipelines, LLMs, APIs, data analysis pipelines, and agentic workflows. Ideally, experience with version control and collaborative development practices.* At least one peer-reviewed publication ...

computer scientists—all united by a passion for solving complex commercial problems with data and algorithms. We leverage cutting‐edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision‐making and drive competitive advantage. If you thrive in intellectually challenging environments and want … data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine ...

retained by one of the most exciting AI platform businesses in Europe. They need an Enterprise AE who can sell complex AI and ML propositions to data, technology and operations leaders in enterprise accounts. What You’ll Be Doing Running complex enterprise sales cycles of 3–12 months from self … conferences across the UK What We’re Looking For 4+ years enterprise technology sales with a strong new business track record Experience selling AI, ML, data analytics or BI platforms Proven record of new logo wins in complex, multi-stakeholder sales environments Genuine intellectual curiosity and passion for AI technology ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

it. Loyalty – We stand by each other and our mission. Job Summary Movar is seeking a Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors … data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate with data engineers to ensure solutions are scalable and production-ready. Engage with business ...

themselves.We are seeking an AI Data Operation Specialist to join our team to lead quality initiatives in content moderation—leveraging both human labeling and machine learning models, including Large Language Models (LLMs). This role plays a critical part in upholding content quality across TikTok Live platform. … Business, Data Science, Computer Science, Information Technology, Communications, or a related field 3+ years of experience in AI data operation, leveraging AI and ML for content quality management, product operations, or a related analytics role, preferably in tech, digital content, or platform moderation environments Proficiency in data analysis and visualization ...

Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling approaches that guide the discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with … performance indicators and success metrics for predictive modelling initiatives to demonstrate business impact. Mentor junior data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team. Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer. Communicate complex ...

seeking an AI Data Operation Specialist to join our team to lead quality initiatives in content moderation—leveraging both human labeling and machine learning models, including Large Language Models (LLMs). This role plays a critical part in upholding content quality across TikTok Live platform. The ideal candidate … Business, Data Science, Computer Science, Information Technology, Communications, or a related field 3+ years of experience in AI data operation, leveraging AI and ML for content quality management, product operations, or a related analytics role, preferably in tech, digital content, or platform moderation environments Proficiency in data analysis and visualization ...

leading pharmaceutical, agricultural, and industrial research organisations. We believe that breakthroughs in biology will increasingly come from the combination of large-scale biological data, machine learning, and mechanistic understanding. Our mission is to build the tools that enable scientists to make those breakthroughs faster. About the Role … help them design and optimise antibodies, peptides, and other protein therapeutics. At the same time, you will work closely with our Research and ML teams to turn our foundation models into robust, end-to-end protein design and optimisation pipelines, combining models for generation, structure prediction, sequence design, scoring, developability ...