51 to 75 of 439 Machine Learning Jobs in London

we know it can be, focusing on what clients really need and delivering against that every single day. Key Responsibilities Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows. Collaborate with cross-functional teams to integrate AI technologies with other system components. Ensure the scalability, efficiency, and robustness of … effectiveness and providing actionable insights. Requirements Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven … practical experience. Experience Extensive experience in applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcamps. Demonstrated leadership experience in AI and machine learning projects. Note: Successful applicants will receive a coding challenge to evaluate their programming knowledge and skills as outlined in this job description. This step is an essential More ❯

we're looking for people who share that vision. People like you. Requirements What you'll be doing: We're looking for an MLOps Engineer to help ensure our machine learning models run reliably and add value in production. In this role, you'll focus on monitoring, maintaining, and integrating models into products, while also helping data scientists … the machine learning development lifecycle, including model development, deployment, monitoring, and maintenance. Experience with Quantexa would be advantageous. Strong programming skills in Python and experience with common ML libraries. Experience with big data tools, such as Spark Experience with containerization and orchestration technologies like Docker, Helm, and Kubernetes. Familiarity with DevOps tools such as Jenkins, or similar for … workflow automation. It would be great if you also have: Experience deploying machine learning models into production and managing their lifecycle. Experience implementing model governance, including versioning, monitoring, drift detection, and reporting. Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC. Programming skills in Scala. Experience working with ONNX and ONNX Runtime for model optimization and deployment. More ❯

Role Overview Mercor is seeking data scientists to support one of the world's leading AI labs in building robust, high‐performance systems for next‐generation machine learning applications. In this role, you will focus on hands‐on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering … teams to deploy production‐ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‐based questions used to train AI systems. You are a good fit if you: Have … related field in the U.S., Canada, New Zealand, UK or Australia. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Demonstrate excellent verbal and written More ❯

gatewayto an exciting and rewarding digital career. Early careers experience at bp Our digital apprenticeship programs are 2 years long. During this time, youll work on different projects alongside learning day to day operations, to become a rounded professional. Alongside your formal apprenticeship, youll also complete our Elevate training programme which provides a framework of non-technical skills to … software engineers, data managers and business partners. You will be part of a team whos responsibilities include: Building scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocate for data science and best … practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). The data science and machine learning apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such as: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1 For which the provider is More ❯

Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up … the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team … data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. The Experience You'll Need 5+ years of deep experience in modern, cloud-based data engineering More ❯

AI Engineer - Remote We are currently working on an AI Engineer role with a global language and translation company. You will be designing, developing, and deploying cutting-edge machine learning solutions across the company.If you enjoy end-to-end ownership (from experimentation to deployment), working with AWS, Docker, MLflow, TensorFlow/PyTorch, and contributing to innovative projects with … to write and produce production-grade code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning More ❯

to the Head of UK AI & Data Science. You will lead the design and execution of high-impact AI and data science initiatives, working hand-in-hand with embedded ML Engineers to move prototypes into production-ready pilots that deliver measurable business outcomes. This role is focused on delivery and applied impact: you will scope and frame complex business problems … develop advanced models, and collaborate with ML Engineers to ensure solutions are integrated, monitored, and piloted successfully. Once validated, you will work with the central engineering, data, and product teams, who own firm-wide platforms, scaling, and governance, to ensure smooth handoff and enterprise adoption. As the UK's most senior data science IC, you will also mentor and guide … technical direction, represent TWG externally, and ensure all projects align with firm-wide priorities and responsible AI practices. Key Responsibilities: Lead the design and delivery of flagship AI/ML projects that drive measurable value across financial services and adjacent sectors. Act as senior technical authority on advanced methods (generative AI, causal inference, LLM-based analytics, RAG, simulation). Partner More ❯

Start ASAP | Outside IR35 To apply, email: THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You'll be part of … a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems … for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment More ❯

Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder … essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £160,000+ - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems click apply for full job details More ❯

a Software Engineering Graduate: Specialise and Innovate: Specialise in a specific discipline, contributing to groundbreaking technology and enhancing your expertise in areas like C++, Java, Frontend Development, Computer Vision, Machine Learning, QA, and DevOps. Learning and Development: Benefit from a specialised Early Careers Training Programme to develop further your soft skills and technical skills with both in … Java, Python or other programming languages. Mindset: You thrive in an innovative, fun environment, eager to learn, collaborate, and push technological boundaries. Drive to Innovate: A passion for continuous learning and the ability to push the limits of what technology can do in the world of sports. Our Development Team: Our Development team is the heart of Hawk-Eye … Innovations, driving the technology behind all our services. Our expertise spans multiple engineering disciplines, including: Computer Vision Machine Learning Video Content Management and Streaming Cloud Data Platforms Web Technologies Computer Graphics Data Science Quality Assurance/Testing We build end-to-end solutions for sports technology, including real-time tracking, data warehousing, low-latency data streaming, and broadcast More ❯

projects and technologies that get deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen … to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. Youll bring a passion for the intersection of software development with generative … AI and machine learning. Youll also: Solve complex technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in More ❯

AI Developer - Azure, ML, AI Foundry £Market Rate (Inside IR35) Hybrid/South West London 6 months I am currently recruiting for an AI Developer with expertise in the Microsoft ecosystem, particularly Azure AI services and AI Foundry, to help design, develop, and deploy advanced AI solutions utilising your skills in building scalable AI applications, integrating with enterprise systems, and … leveraging Microsoft's AI tools to deliver business value. Key requirements: Technical Expertise in Azure AI services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure Data Factory. Solid programming skills (Python/C#,/.NET) Experience with Azure DevOps, CI/CD pipelines, and GitHub Actions. Knowledge of … containerization (tools ie Docker) and orchestration (ie Kubernetes on Azure). Good awareness of Data & AI - understanding of ML lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/ More ❯

Senior AI & Machine Learning Instructor - Apprenticeship & Commercial Delivery Remote (UK) £55,000 - £70,000 DOE Full-time, 9am-5pm (occasional global sessions) Join a world-leading digital educator shaping the next generation of Machine Learning Engineers click apply for full job details More ❯

Who are we? Hi We are Ravelin We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime We are a friendly bunch and pride ourselves in … also be looking to drive innovation in the Integration Engineer role, to improve repeatability and scalability. In this role, you will be working closely with our internal data engineering, machine learning and fraud analysis teams, being a bridge between them and our clients. Responsibilities Act as a leader in establishing and developing best practices for Integration Engineers. Support … you're most productive, with flexibility and support. Comprehensive BUPA Health Insurance — Stay covered with top-tier medical care for your peace of mind. £1,000 Annual Wellness and Learning Budget — Prioritise your health, well-being and learning needs with funds for fitness, mental health, and more. Monthly Wellbeing and Learning Day — Take every last Friday of More ❯

be solving real-world problems from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas … the UK or equivalent Strong coding ability in at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not More ❯

Develop and champion best practices, striving towards excellence and raising the bar within the department. Research methods of data anomaly detection using broad range of techniques, including statistical and Machine Learning Qualifications 5+ years relevant experience in Data Engineering, Software Development, or Data Quality Strong leadership skills with the ability to lead and mentor a team of data … devices Experience in basic Machine Learning techniques is a big plus Experience in basic Generative AI or natural language processing also a big plus Strong interest in ML/AI/Gen AI is important for this role Experience with working in large scale SQL Understanding of pillars of Data Quality: Completeness, Timeliness, Validity, Uniqueness, Consistency, Accuracy (or More ❯

Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively … Engineer with a strong interest and practical experience in applied AI or machine learning Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.) Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production Solid understanding of cloud technologies, containerisation and building scalable AI … applications Ability to integrate AI/ML models into real-world applications, focusing on usability and performance Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus Experience or strong interest in energy markets and trading strategies Understanding of More ❯

group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the … the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions … feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts More ❯

the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. The Role You’ll play a key part in improving and building machine learning models and … data pipelines that power the platform. This is a hands-on, proactive role focused on continuous improvement across modelling, automation, and client-facing insights. You will work on: Enhancing ML pipelines: validation, classification, clustering, predictive models, neural networks, optimisation. Automating and streamlining data refresh processes. Producing client presentations and providing pricing insights. R&D on new modelling and optimisation approaches. … Bring Degree in a STEM field (Maths, CS, Engineering). Experience in data science or consulting. Strong Python/Pandas skills. Entrepreneurial mindset and proactive problem-solving. Hands-on machine learning experience. Nice to have: large datasets, data engineering, pricing/optimisation, client presentations, banking/FS experience, plus any of: PySpark, Azure, SQL, HTML/CSS/ More ❯

a core trade planning system Integrating our high and low frequency systems for more optimal trading Re-architecting systems to provide a seamless path from research to production for machine learning models Enabling large-scale distributed training of machine learning models Contributing back to open source projects Who are we looking for? The ideal candidate will … deliver to demonstrably drive business results The ability to proactively identify where we can improve and implement long term, scalable solutions to drive business outcomes. A proactive approach to learning, staying ahead of the technology curve and identifying how we can adopt new technologies in the ways we work Balanced judgement, with the ability to evaluate different approaches and More ❯

industry standards, emerging methodologies, and empirical research. Design and implement end-to-end data solutions, working with diverse datasets (internal and third-party) to derive actionable insights. Apply advanced machine learning and statistical modeling techniques to solve complex problems. Collaborate with data scientists, data engineers, and pricing teams to enhance analytics practices across the organization. Contribute to the … track record of developing predictive and prescriptive analytics to inform business decisions. Proficiency in analytical tools and programming languages such as Python, R, and SQL. A keen interest in machine learning techniques, from linear models to deep learning. A degree in a STEM field (preferred but not essential). Experience in finance, insurance, or e-commerce (advantageous but More ❯

include producing production level code with appropriate testing, maintaining projects, developing new tools, resolving issues, as well as identifying & using new technology options/techniques in the AI/ML space. In order to be suitable for this role you must have proven experience working in a Python Developer, Web Developer, Full Stack Developer, Software Engineer, Application Developer, Machine Learning Engineer, Programmer, or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools More ❯

include producing production level code with appropriate testing, maintaining projects, developing new tools, resolving issues, as well as identifying & using new technology options/techniques in the AI/ML space. In order to be suitable for this role you must have proven experience working in a Python Developer, Web Developer, Full Stack Developer, Software Engineer, Application Developer, Machine Learning Engineer, Programmer, or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools More ❯

labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing … suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday More ❯