1,051 to 1,075 of 1,656 Machine Learning Jobs in London

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

of a research degree or post-doc, are strongly encouraged to apply. Similarly people with solid quant trading experience (in FX, cash equities, or futures) and practical experience with machine learning techniques are also strongly encouraged. The roles are for the London office, but being based in the Boston office instead is a possibility. These roles can be More ❯

love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. In this role, you will: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision-making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and More ❯

of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we More ❯

solutions that help us achieve our goals - from data gathering, to analytics engineering, to model selection, training and interpretation Conduct experiments and proofs of concept by developing and deploying machine learning models to solve critical growth/efficiency challenges (like lead scoring, delivery forecasting, customer sentiment prediction, etc) Work closely with our Senior Data Engineer to deploy your More ❯

Billund, Denmark or London, UK. Relocation support is not available for this role. Nice to Have: Experience with applied statistics across multiple data sources Passion for advanced data science & machine learning methodologies Experience ingesting owned and 3rd party data sources into a central data platform, and building/maintaining data pipelines including working with and building APIs Experience More ❯

in London, with a willingness to travel as needed We'd Love to See: Passion for innovation and building the future of Enterprise Solutions at Bloomberg Understanding of how machine learning and AI are being applied in financial markets Experience working with Research data or Alternative data sets Fluency in one or more European languages (especially French, Italian More ❯

in London, with a willingness to travel as needed We'd Love to See: Passion for innovation and building the future of Enterprise Solutions at Bloomberg Understanding of how machine learning and AI are being applied in financial markets Experience working with Research data or Alternative data sets Fluency in one or more European languages (especially French, Italian More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting We are seeking a proactive, detail-oriented Payments & Finance Operations Analyst to join our expanding Financial Operations team. More ❯

of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we More ❯

technologies, inventing products and providing services that transform the way customers run their businesses. Kumo's industry-leading product portfolio cuts across a wide range of technologies (such as Machine Learning, Distributed Systems) at high scale, while offering opportunities to build with Native AWS services. The organization combines the culture of a startup, the innovation and creativity of More ❯

our technology-driven solutions leverage industry-standard tools. On the back end, we primarily utilise Node.js and Go for performance-critical services, while Python is employed for AI and machine learning solutions. Our front-end is powered by Angular, which enables the creation of dynamic and responsive user interfaces. Our infrastructure, orchestrated with Kubernetes and Docker, ensures scalability More ❯

optimise backend services using modern, event-driven architecture on AWS Work on new features, APIs, performance tuning, and CI/CD improvements Collaborate closely with Data Science to deploy ML workloads in streaming systems Influence architecture and own key infrastructure components Key Skills: Five years with TypeScript and AWS Strong experience with Lambda, Kinesis, EventBridge, and CDK v2 Strong attention More ❯

to see the impact of their actions, including visibility of daily P&L attribution. The role is broad and not limited to performance optimisation, rearchitecting systems, enabling large-scale ML model training, building out research tooling and much more. About you: Strong experience of software engineering and end-to-end solutions ownership. Proficiency with Python and/or C# (other More ❯

to see the impact of their actions, including visibility of daily P&L attribution. The role is broad and not limited to performance optimisation, rearchitecting systems, enabling large-scale ML model training, building out research tooling and much more. About you: Strong experience of software engineering and end-to-end solutions ownership. Proficiency with Python and/or C# (other More ❯

attribution data to build growth dashboards Identify and prototype automations using AI tools in data workflows Lay the foundation for data governance, lineage, and documentation (Future) Design and prototype ML workflows using cleaned and governed datasets What you'll need 3+ years of experience in a data analytics engineering role Deep fluency in SQL - performance, structure, and readability Business acumen More ❯

and tools like Ansible , Puppet , Foreman , and Terraform . Familiarity with DevOps practices, IaaS/PaaS, monitoring tools (Nagios), and big data/AI tech (Elastic Search, AI/ML). You will be subject to undergoing a level of security clearance, British Nationals only. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the More ❯

An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML, Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to More ❯

and EU MDR regulations for software Experience with software validation, V&V testing, and risk management (ISO 14971) Familiarity with software configuration management, cybersecurity standards, and AI/ML regulatory considerations is a plus Hands-on experience with document control systems (e.g., eQMS), CAPA management, and audit processes Strong analytical and problem-solving skills with a detail-oriented mindset Excellent More ❯

An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML, Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to More ❯

OR equivalent experience. Expertise in full stack app architecture design/modernization and cloud native development (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET). Expertise in AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.). Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that More ❯

MLOps tooling (MLflow, DVC). Work closely with cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI More ❯

MLOps tooling (MLflow, DVC). Work closely with cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI More ❯

Technical Account Manager (TAM) in AWS Enterprise Support, you will play a crucial role in fostering our customers' innovative and transformative endeavors across various technologies, including GenAI, AI/ML, Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security, and more. This is not a sales role; instead, it offers you the opportunity to serve as the More ❯