1 to 25 of 340 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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 ...

adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound … science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based approaches) Other information If you feel that you would be a strong addition to our team ...

Project: Minimum 6 months (May be extended based on client feedback and requirement) Joining: Immediate Added date: Fri, 07-Jan-2022 Data Science/ML/AI Technical Code Writer for Blogs Job Location: Work from Home Qualification: Knows DS/ML/AI and has implemented projects Employment Type … going to be the input for a blog on our website Be a Technical writer whose code would be used by the company for learning content in our blogs Have originality in content and be creative at the same time Plagiarism of any form is not accepted Full Stack ...

harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high … ensure our solutions are maintainable and scalable. Skills & Experience Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready ...

increased demand for machine learning and AI model development and validation services. The Assistant Manager role will appeal to data scientists and ML engineers with a minimum of two years’ post-graduate experience who are ready to take responsibility for model development, tool-building, and technical validation across … towards experience) Expertise in development of machine learning models (not purely pipelines or dashboards) Strong Python programming skills, including use of key ML libraries/packages Practical experience with one or more cloud compute platforms (Azure, AWS, or Google Cloud) Demonstrable exposure to LLMs, agentic frameworks, or technical ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

accommodating any needs you might have. Role Depop is looking for a Staff Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a multi-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational … evolve them as shared systems Partner closely with senior stakeholders across the business to define problems, and lead the design of general-purpose, scalable ML solutions that power features like content understanding, moderation, and personalisation Lead the end-to-end lifecycle of large-scale experiments, from hypothesis generation through evaluation ...

Senior through to Staff Machine Learning Engineers. Key Responsibilities Design, build and deploy production machine learning systems Own the full ML lifecycle, from data preparation through to training, evaluation and inference Turn research into reliable, production-ready ML solutions Optimise models for performance, latency, scalability … robust training and inference pipelines Debug complex production issues using real-world data and signals Mentor engineers and help drive engineering standards across the ML function Key Requirements Commercial experience building and deploying production ML systems Strong Python software engineering skills Experience training, fine-tuning or deploying modern machine ...

Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You will leverage your experience in developing and deploying advanced ML models for: Automatically and accurately detecting suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapting quickly to changing fraud and financial … crime trends, ensuring detection systems remain performant over time. Designing ML solutions that scale globally. You should apply if: What we’re doing here excites you: You have a track record of deploying advanced ML models tackling real business problems with demonstrable impact, preferably in a fast‐moving tech company. ...

these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model … build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with ...

Role: Lead and develop the Machine Learning & AI function, setting the vision and roadmap to scale impact across the business. Own all ML-powered systems including recommendations, ranking, search, personalisation, and promotion algorithms. Shape the company’s customer-facing AI strategy, exploring innovative features such as LLM-powered … standards for modelling approaches, evaluation, deployment, and monitoring. Collaborate closely with Product, Engineering, Data Science, and MLOps to ensure seamless deployment and scalability of ML models. Build and lead a high-performing team of approximately six Machine Learning Scientists, fostering their professional growth and technical excellence. Promote best ...

supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands‐on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co‐define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do: Develop and deploy ML models, translating research into scalable, maintainable code ...

manage, and route content reliably at global scale. We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content … with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design ...