51 to 75 of 2,930 Machine Learning Jobs in London

clustering), and operations research (linear, mixed integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit‐learn, pandas, numpy, gurobi, etc.) to solve real‐life problems and visualise the outcomes (e.g., seaborn) Proficient in working with cloud … platforms (AWS preferred), code versioning (Git), experiment tracking (e.g., MLflow) Experience with cloud‐based ML tools (e.g., SageMaker), data and model versioning (e.g., DVC), CI/CD (e.g., GitHub Actions), workflow orchestration (e.g., Airflow/Dagster) and containerised solutions (e.g., Docker, ECS) nice to have Experience in code testing (unit ...

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 ...

Product teams, and creatives to build intelligent systems that transform live sports data into immersive digital experiences. One day you might be shaping scalable ML pipelines for motion synthesis and trajectory prediction. The next, you could be prototyping cloud‐hosted inference services, reviewing technical approaches, or stepping into the codebase … unblock delivery. You’ll help teams apply cutting‐edge ML techniques, including Transformers, Graph Neural Networks, Diffusion models, and real‐time geometry pipelines, while ensuring solutions remain scalable, maintainable, and production‐ready. Because we believe leadership starts with technical credibility, you’ll stay hands‐on at your core. Around ...

transform their operations—driving measurable, lasting improvements across industries. You’ll be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide. Together, you’ll work on interdisciplinary projects to solve complex business challenges across various sectors. Partnering with … rich environments Ability to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data-driven solutions Experience deploying ML/AI technologies into production or applied business environments is a plus While we advocate using the right tech for the right task, we often ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering … grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment ...

machine learning solutions, from problem framing and data strategy through to modelling, deployment, and iteration in production Design and build scalable ML systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches … shaping detection strategies in partnership with Trust, Policy, and Product Collaborate cross-functionally to translate business and safety goals into effective, production-ready ML systems, influencing trade-offs and priorities Communicate clearly and effectively with both technical and non-technical stakeholders, articulating approaches, trade-offs, and impact Qualifications: Proven track ...

learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply. Responsibilities Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale Take offline models data scientists build and turn them … years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC. Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer on AWS Sagemaker and similar tools. Knowledge and experience with CI/CD tools. Strong hands-on technical skills in automation (Jenkins, GitLab, Docker ...

learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply.**Responsibilities:*** Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale* Take offline models data scientists build and turn them … years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC .* Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer on AWS Sagemaker and similar tools* Knowledge and experience with CI/CD tools. Strong hands-on technical skills in automation (Jenkins, GitLab ...

ML Engineer £750 p/day | Inside IR35 | 6 Months | West London (2 days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity … work with large datasets, cutting-edge ML technologies, and cross-functional teams to build impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support ...

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 … development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. Why you? 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 ...

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine ...

seeking an experienced, technical, and hands-on Autonomy Data Manager to grow and lead a talented team composed of Data Scientists, Data Engineers and ML Ops Engineers, working in the Autonomy team to deliver data driven Planning and Perception solutions. You will lead the team to drive the creation … provide technical guidance in the design, development, deployment, optimization, and evaluation of state-of-the-art data algorithms, data efficiency and pipelines to enable ML model performance with a focus on iteration speed, scalability and overall cost efficiency. Drive a culture of rigorous statistical evaluation to measure, validate and implement ...

Life insurance x4 Company pension contribution 25 days annual leave, plus 1 personal day Option to purchase additional holiday (up to 5 days) Great learning & development resources Enhanced maternity pay, paternity and adoption leave The Role Location: London/Hybrid Type: Full Time Contract type: Permanent Application closing date … efficient. Help shape how machine learning engineering is done at PureGym, creating patterns and standards that can scale as our use of ML grows. The Person You’re an engineer who enjoys the challenge of making machine learning work reliably in the real world. ...

that values creativity, collaboration, and continuous learning. Your contributions will help us redefine what’s possible in financial services. As an Applied Artificial Intelligence & Machine Learning Associate in Operations, you will work within an applied AI team dedicated to transforming customer onboarding and software engineering practices. You will … partner with software engineers, business stakeholders, and machine learning experts to identify and implement efficiency improvements. Your work will directly impact KYC and onboarding operations, as well as the software development lifecycle. You will help foster a culture of innovation and excellence. Job responsibilities Formulates, communicates, and drives ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … building, deploying and operating AI products that deliver measurable business value. The Role As a Customer AI Engineer, you will design, build and deploy machine learning, generative AI and agentic AI solutions that help our clients better understand, serve and grow their customers. This is a hands ...

opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You'll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact. The Company They are a data … partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches. The Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics. Create ...

Senior Machine Learning Research Engineer London On-site SC-3A99D9AAB93D220F96C9 The opportunity Join a cutting-edge humanoid robotics team to develop and implement learning-based algorithms for dynamic locomotion and whole-body control. Work with interdisciplinary engineers to create robust, reusable motion capabilities that enable advanced robot … movement and interaction in real industrial settings. What you could work on Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors Develop motion primitives using learning-based generative models Apply reinforcement learning, imitation learning, and other learning-based approaches ...

seeking Deep Learning Researchers to join our growing team. As a Deep Learning Researcher, you will develop and apply state-of-the-art deep learning techniques at the intersection of AI and markets. You will help accelerate our efforts in areas such as modern neural network architectures … learning research or applied machine learning. For PhD candidates, we expect a record of research contributions in your area published at leading ML venues (e.g., NeurIPS, ICML, ICLR). For Bachelor’s and Master’s candidates, research experience is required but can take other forms, e.g. thesis work ...

analyse data, work with documents and automate research. You'll join the UK core team of around thirty people, working in Python on production ML and LLM systems that sit behind data-dense enterprise products. THE ROLE You'll report to the Head of Engineering and own the machine … partial progress to users. Fine-tune, prompt-engineer and benchmark models, and make considered decisions between hosted foundation models, open-weight models and classical ML on cost, latency and quality. Build and operate ML services and APIs with authentication, role-based access and tenant isolation, so client data is never ...

personalisation experiences that bring people together. As our Principal Machine Learning Engineer, Matching & Recommendations , you’ll help define the technical and ML strategy behind the next generation of Bumble’s recommendation systems. You’ll remain hands‐on while tackling complex problems across retrieval, ranking, personalisation, experimentation … sided marketplace optimisation , partnering across Engineering, Product, Data Science and Analytics to turn ambiguous member problems into scalable ML solutions. You’ll lead through technical influence, raise the bar for ML engineering across the organisation, and help us build systems that optimise not simply for engagement, but for better connections ...

Paddington, United Kingdom Hybrid working from home and Central London Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies. As part … their audio technology research team, you'll be responsible for: Carrying out research on deep learning audio Evaluating and testing AI and ML models Implementing and training models Model research, implementation, training, evaluation and inference Writing reports and research papers With several products already on the market and thousands ...

prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search … prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and training setups ...

Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company … 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning ...

Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company … 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning ...

ensure the intelligence your team buildshasa real effect on the business. Some of the great things you'll be doing: Leading Delivery of ML and AIsystems Lead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference … ambition and delivery reinforce each other Contribute to standards and practices across the wider Data & AI Solutions chapter Technical Leadership Set the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation Take ownership ...