1,176 to 1,200 of 2,918 Machine Learning Jobs in London

Experience in AI strategy, data strategy, analytics, responsible AI, product strategy, consulting or a related field. Solid understanding of generative AI, agentic AI, machine learning, analytics and data management principles. Ability to conduct research and translate complex technical, regulatory and industry developments into practical business insights. Experience influencing ...

practices while mentoring engineers and promoting operational excellence across AI and platform teams. Skills & Experience Significant experience designing, building, and operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments. Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL ...

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 About the role Lendable is revolutionising the credit card industry by making financial tools ...

digital transformation, enterprise technology, AI strategy, or AI leadership roles. Proven track record leading large-scale organisational transformation programmes. Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms. Experience designing enterprise operating models, governance frameworks, and transformation programmes. Strong understanding ...

digital transformation, enterprise technology, AI strategy, or AI leadership roles. Proven track record leading large-scale organizational transformation programs. Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms. Experience designing enterprise operating models, governance frameworks, and transformation programs. Strong understanding ...

Expert level proficiency in Python and SQL. Deep, hands‐on experience with statistical modelling, (quasi) experimentation, multi‐arm bandits, and a wide range of machine learning techniques such as regression, classification and clustering. Product Acumen: Demonstrated ability to define, implement and operationalise crucial product and feature‐level metrics ...

building complex indices that drive positive change in the world. We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools. We are backed by some of the world’s leading tech investors ...

development and continuous improvement of a modern cloud-based data platform. Support the delivery of trusted, scalable and accessible data products that enable analytics, machine learning and AI across the business. We are looking for an experience Lead Data Engineer with expectational hands on knowledge ofDatabricks, Spark ...

compliant use of first and third-party data. Partner with data science and analytics teams to design environments and structures that support advanced analytics, machine learning and AI use cases. Stay connected to developments across the data industry, identifying opportunities to improve the platform, increase efficiency and support ...

Accenture's GenAI-enabled accelerators to work smarter across configuration, testing and documentation Get hands-on with Workday's built-in AI and machine-learning features that support delivery processes Bring AI-driven ideas to your project teams and clients Grow your skills as part of a practice ...

organisation In Bengaluru you lead principal and lead engineers, a solution architect and a QA function. In London you build the team across machine learning, front and back end, cloud and solution architecture and cybersecurity. You hold both locations to one bar and partner with Product Management ...

role sits within the AI & Informatics team in the Digital, Data & Informatics (DDI) division at the Natural History Museum. You’ll work closely with machine-learning researchers and domain experts across UK institutions, but your primary focus will be providing technical leadership for the design, development, deployment ...

forefront of a new era in high-performance computing, developing full-stack photonic quantum systems designed to transform how organisations tackle machine learning, generative AI, and complex optimisation challenges. Headquartered in London, ORCA has delivered eleven on-premises quantum computers worldwide – demonstrating that its technology is not theoretical ...

understanding the impact down to mathematical details. Excellent programming skills with Python. Good working knowledge of SQL and experience querying large datasets. Experience building machine learning models and deploying them into production. Experience shaping projects and translating vague business problems into practical solutions. Experience interacting with senior stakeholders ...

resourceful. We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house : we use new data sources, machine learning and AI to make machines do the heavy lifting In six years, Lendable has built a profitable, market-leading credit card ...

globally, powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. ...

technology vendors to secure favourable SLAs and pricing structures. Championing an AI-first and cloud-first strategy, leveraging Generative AI, Microsoft Copilot, intelligent automation, machine learning, AIOps, and cloud-native platforms to improve service delivery and operational outcomes. Driving large-scale organisational change across the region, building ...

judge, safety/alignment metrics) Inference optimisation (quantization, distillation, vLLM/TensorRT-LLM) Requirements: - PhD or Master's in CS/AI/ML/Physics/Maths or equivalent research experience - Strong hands-on expertise in at least one core area above - Strong Python and PyTorch/distributed training ...

Overview Role: AI Full Stack Engineer (AI & ML Engineer) Location: Fenchurch Street, London Duration: Oct 12, 2026 - Dec 15, 2026 (9 Weeks, 2 Days) Hours: 40 hours/week Rate: 291 PAYE/388 Umbrella Core Technical Stack Programming & APIs: Python, RESTful API development, JSON Schema, Pydantic. AI & LLMs: Gemini ...

understanding of LLMs, RAG, embeddings, vector databases and orchestration Experience taking AI solutions from concept through to production Strong Python and modern AI/ML engineering knowledge Experience with major cloud platforms such as AWS, Azure or GCP Strong architecture and system-design capability Experience communicating complex technical concepts ...

culture. As a Fraud Data Scientist, you will be responsible for developing and improving the organisation's fraud prevention capabilities through advanced analytics and machine learning. Key responsibilities include: Owning fraud analytics and fraud prevention initiatives across the business. Developing fraud detection, fraud scoring, and identity verification models. Enhancing ...

system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical and business stakeholders Ability to translate complex technical concepts ...

Love About This Role Think Big: Build a data platform from the ground up that will scale with a cutting-edge AI and ML product. Own It: Take responsibility for production-grade data systems that directly power targeting, optimisation and measurement. Keep it Simple: Apply pragmatic engineering to deliver reliable ...

related discipline A strong background in skin biology, dermatology, skin ageing, melanoma or a closely related field 5+ years' experience developing bioinformatics and ML solutions Deep experience analysing NGS, DNA methylation and other high-dimensional omics datasets Strong Python skills and experience developing reproducible bioinformatics workflows Experience designing scientific studies ...

fintech or lending environment Hands-on experience building credit scorecards or risk models (application, behavioural, or collections) Proficiency in Python and SQL; experience with ML frameworks (scikit-learn, XGBoost, etc.) Familiarity with Open Banking data, bureau data (Experian, Equifax, TransUnion), or alternative data sources Comfort working in small, fast-moving ...