1 to 25 of 455 Machine Learning Jobs in Central London

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking … environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer Design ...

objectives. This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. … systems, offering the chance to deliver real-world outcomes at scale. Key Responsibilities Designing, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with ...

access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely … Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine ...

access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely … Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine ...

Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision … problems. The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams ...

products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity … Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy ...

products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity … Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy ...

technology meets genuine purpose. The Role: I’m seeking a Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling … engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. ...

full-stack photonic quantum computing systems. This company focuses on innovative approaches to quantum computing, high performance, and data centre-standard systems for machine learning and generative AI. You will have the opportunity to work in multidisciplinary teams of quantum scientists’, engineers, and mathematicians who are developing hardware … software within quantum- classical systems. We're looking for an experience machine learning engineer, who will thrive in collaborative dynamic environments where learning is continuous and every contribution drives progress towards the next generation of computing. Having knowledge or interest within quantum computing would be desirable. Your ...

Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability. Key Responsibilities Translating data science models … into scalable, production-ready machine learning solutions. Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring. Collaborating with data engineers on data architecture, pipelines and feature stores. Working closely with data scientists to productionise models and improve performance. Deploying, monitoring and maintaining ...

Machine Learning Engineer/ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series … model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search Collaborate with quants to understand pricing model requirements and identify ML opportunities Develop data-driven approaches to complement traditional quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills ...

Machine Learning Engineer In the office ~x2/3 days a week in London About the Company We’re working with a specialist AI consultancy that delivers tailored machine learning systems for organisations operating in high-complexity domains. Their clients span industries such as finance, defence … fast-paced and technically rigorous environment, ideal for someone who enjoys solving practical challenges, contributing to engineering excellence, and building reliable infrastructure around machine learning systems. What You’ll Be Doing Design, build, and maintain machine learning pipelines that are robust, scalable, and suitable for production ...

will be responsible for developing novel generative models aimed at creating functional proteins validated in laboratory settings. Who You Are You are an experienced ML researcher with a strong background in generative modeling. You have contributed substantially to major machine learning efforts—such as open-source libraries, significant … product deployments, or impactful scientific publications. You are an effective ML engineer. You write maintainable, well-tested code, use modern development workflows, and are equally comfortable rapid-prototyping and producing high-quality production systems. You have experience training and running large-scale models on cloud or distributed hardware. You have ...

with a strong focus on innovation and customer-driven R&D. As part of continued growth, they are seeking an experienced Principal Data Science & Machine Learning Researcher to provide leadership and strategic direction. THE BENEFITS: Tiered clearance bonus Leadership role in a growing, well-funded R&D function … future research direction Work on high-impact, technically challenging problems Hybrid/flexible working dependent on project needs THE PRINCIPAL DATA SCIENCE AND MACHINE LEARNING RESEARCHER ROLE: In this role, you will act as a technical and strategic leader across multiple data science and machine learning ...

research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable … latency model deployment. Collaborate cross-functionally with software and product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ...

Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML/AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning … Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment ...

Application Support Request”. Role: MLOps Tech Lead Job Type: Permanent Location: London, UK Are you passionate about driving innovation and best practices in Machine Learning? We have an exciting role for you – MLOps Tech Lead! Careers at TCS: It means more TCS is a purpose-led transformation … that enable the development and deployment of machine learning models and drive engineering excellence and collaborate closely with data scientists, and lead ML engineers, and software engineers to ensure data is clean, accessible, and optimised for large-scale processing and analysis. Your responsibilities: Data Pipeline Development: Lead ...

Working as part of a small, well-funded research group within a growing area of the business, this team delivers innovative data science and machine learning solutions to complex customer problems. THE BENEFITS: Tiered clearance bonus Funded R&D projects and internal seed investment Clear technical growth … progression opportunities Supportive, collaborative team environment Hybrid/flexible working dependent on project needs THE SENIOR DATA SCIENCE AND MACHINE LEARNING RESEARCHER ROLE: You will focus on research-led development, working across short exploratory tasks and longer-term R&D initiatives. You will help shape project direction, translate ...

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP and GenAI. You will: Design, develop and scale NLP and GenAI capabilities to optimise business processes. Build out a robust … GenAI application technology stack, from experimentation through to production. Develop, maintain and improve existing ML pipelines, data transformation workflows and MLOps practices. Create serverless data/ML pipelines in cloud environments (Azure preferred). Work closely with architects, senior developers, product owners and business analysts to shape requirements, solution design ...

security-focused technology organisation is seeking a Senior Machine Learning Engineer to join its AI team. You will design, develop, and deploy ML models and LLM/GenAI solutions to solve real-world national security challenges. This is a highly innovative, collaborative, and impactful environment where you will … apply cutting-edge machine learning methods to unique datasets. Key responsibilities: Lead and contribute to ML projects, including forecasting, classification, anomaly detection, and LLM/GenAI applications. Design experiments, formulate hypotheses, evaluate results, and iterate rapidly to validate approaches. Transition experimental models into production-ready solutions, collaborating with ...

Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to enhance our platform’s capabilities. If you thrive in a collaborative, fast-moving environment and want … data pipelines & machine learning models based on key metrics for scalability, reliability, and real-world impact. Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. Work closely with cross-functional teams to integrate ML models into our SaaS platform ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology … techniques (e.g., lexical search, dense vector search) Comfort working in a fast-moving environment with ambiguous problem spaces A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology … techniques (e.g., lexical search, dense vector search) Comfort working in a fast-moving environment with ambiguous problem spaces A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine ...