1 to 25 of 1,094 Permanent Machine Learning Jobs in London

Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists … Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer ...

Applied Machine Learning Scientist London (Hybrid - 2 days per week) £80,000 - £110,000 + Benefits An innovative technology company is building next-generation AI solutions that optimise complex physical systems. Backed by significant recent investment, they're growing their research team to develop machine learning … Physics-informed Machine Learning Simulation Modelling Control Systems Optimisation Graph Neural Networks Distributed or Federated Machine Learning MLOps or Production ML MSc or PhD in a relevant discipline Why Apply? Work on genuinely novel AI research with real-world impact. Join a well-funded technology business ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone … combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer ...

Principal Research Scientist - Machine Learning London, United Kingdom IMC is one of the world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity … apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly ...

Mode of Working: Hybrid Working Hours: 40 hours per week (Full-time) Are you looking to utilise your experience and expertise in AI, Machine Learning, and Advanced Analytics? We have an exciting opportunity for you - AI Engineer – Data & Reporting ! Careers at TCS: It Means More … APIs, SDKs, and microservices that integrate AI, RAG, and machine learning capabilities into enterprise applications. Own the end-to-end AI/ML lifecycle, including problem definition, data exploration, model development, validation, deployment, and monitoring. Develop forecasting models, segmentation strategies, optimisation algorithms, and early warning systems to support ...

MLOps Engineering Manager, you will help shape how we build, deploy and operate machine learning products at scale, working closely with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders across Trainline. Responsibilities Build and lead a new team of MLOps Engineers, creating an environment … product and data teams to bring strong engineering standards into machine learning delivery, while recognising the specific challenges of data, AI and ML systems. Support the productionisation of batch and online machine learning models, including recommendation systems, classification and regression models, large language models and agent ...

manager is more interested in strong Machine Learning Engineers who understand production systems, infrastructure and engineering fundamentals. Candidates who have built traditional ML applications and have been actively developing their knowledge of LLMs will be strongly considered. They are looking for someone who can operate independently, take ownership … team days, with flexibility over the third day This would suit a Senior Machine Learning Engineer who wants genuine ownership of production ML, exposure to both established models and modern generative AI, and the opportunity to solve engineering problems at substantial real‐world scale. Please apply or message ...

Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementation strategy behind our ML‐driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent … guide technical implementation across areas such as trajectory prediction, motion synthesis, real‐time data processing, 2D‐to‐3D geometry pipelines, and cloud‐hosted ML services. You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You’ll fit right ...

seeking a Principal Research Scientist to help define and accelerate our long‐term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

Learning Engineer who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field developing novel algorithms … part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing ...

STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields Commercial experience developing machine learning solutions using Python and modern ML frameworks Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets Experience working with time-series, forecasting … work autonomously within a fast-moving environment Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience Experience deploying ML systems into production environments Exposure to scientific machine learning, simulation, or reinforcement learning Familiarity with cloud infrastructure and scalable ML pipelines ...

Team as a Freelance Machine Learning Operations Engineer – AI Trainer and contribute to building next-generation AI in real-world operations and ML workflows. About Us 10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We are seeking experienced machine learning … content on machine learning operations, model deployment, and workflow optimization Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience Create multiple scenario variations reflecting ...

products. As part of the wider PDT leadership team, you’ll influence roadmap decisions, shape investment priorities, and act as the senior voice for ML and AI across the Cards business. Key Responsibilities Define the vision and direction for machine learning and AI across the Cards business, identifying … opportunities to improve customer experience and commercial performance Lead the performance and evolution of core ML systems including recommendations, ranking, search and personalisation Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability Drive the development of AI-powered product features, including LLM-based and generative ...

organisation. This is the highest individual contributor tier within the field a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML … solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers ...

Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track … with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something ...

fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background in financial … crime and fraud, combined with experience working alongside data science and machine learning teams, this could be the ideal next step in your career. The Role As Head of Detection & Decisioning, you'll be responsible for building and leading a specialist function focused on financial crime detection across ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

Machine Learning Engineer - Multiple Levels Available London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000 Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London. This … career progression. You Will Work With Building and deploying AI and Machine Learning solutions Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation Developing scalable ML pipelines and engineering frameworks AI model training, evaluation, optimisation ...

protein discovery. You will conduct original research while working closely with engineers to translate new ideas into practical tools that accelerate scientific discovery. Our ML team values strong scientific contributions. We are particularly interested in candidates with a track record of publishing at top-tier machine learning conferences … equivalent research experience) in Machine Learning, Computer Science, Computational Biology, Physics, Mathematics, or a related discipline. Strong publication record at premier ML conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR) or equivalent research achievements. Deep understanding of modern deep learning methods, including: Graph Neural Networks (GNNs) Transformer architectures ...

Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits … learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software ...

work on challenging AI projects that deliver real-world impact? Were working with a leading applied AI organisation that combines advanced data science, machine learning, and cutting-edge technology to help organisations make better decisions. Their teams work across sectors including government, healthcare, finance, and retail, solving complex … with experience across data science and machine learning workflows. Solid understanding of machine learning algorithms and statistical modelling. Experience using ML libraries such as scikit-learn, TensorFlow, or PyTorch. Strong knowledge of data preprocessing, feature engineering, and model evaluation. Experience working with large datasets and applying ...

Responsibilities Create state‐of‐the‐art machine learning models to solve real‐world problems and apply them to NLP, speech recognition and analytics, time‐series predictions, or recommendation systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy … Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. The Applied AI ML Director – NLP/LLM and Graphs role will apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time ...

Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real‐world scientific problems. You will drive the development … one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML‐driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems ...

Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...