26 to 50 of 309 Machine Learning Jobs in Central London

actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud … models in production with efficient use of compute. Develop and maintain cloud-native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high-performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

diverse portfolio of data, products and services. LSEG's Data & Analytics division has a long history of using classical machine learning (ML) techniques, and we're also at the forefront of using GenerativeAI to build intuitive solutions that use the wealth of information in our documentation, datasets … exceptional leader to help build and scale an organization to deliver on this promise. You'll solve customer problems using a combination of classical ML and GenAI technologies, delivering products that both delight our external customers, and help internal customers do their jobs effortlessly. We are not a PoC shop ...

this role, you will: Lead and develop a team of analytics managers and senior analysts, creating an environment of collaboration, accountability, and continuous learning Partner with VP/SVP-level stakeholders within B2B’s Commercial Operations and Partner Experience team to influence organizational strategy, translating complex business challenges into … delivery of multi-year analytics roadmaps and programs, ensuring alignment with business objectives and measurable impact Guide teams in applying advanced analytics techniques, machine learning concepts, and statistical methods to create meaningful change for our B2B partners Establish best practices for analytics engineering, model development, and data visualization ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning ...

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 … Role As a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

support the full transformation journey - from planning strategy, process and operating model design through solution architecture, implementation, adoption and value realisation - embedding predictive analytics, machine learning and AI to improve forecast quality, scenario modelling and management insight. Why this role This role is for a planning transformation manager … Anaplan, Pigment, CCH Tagetik, Oracle EPM or OneStream - and experience leading a workstream through design, build, integration, testing, deployment and stabilisation. Predictive planning and machine-learning awareness. An understanding of how predictive forecasting, trend analysis, anomaly detection and machine learning can support planning, together with ...

support the full transformation journey - from planning strategy, process and operating model design through solution architecture, implementation, adoption and value realisation - embedding predictive analytics, machine learning and AI to improve forecast quality, scenario modelling and management insight. Our work is particularly relevant to capital-intensive Products and Resources …/or Resources organisations, ideally where planning is influenced by demand, production, assets, projects, workforce, supply chain or capital expenditure. Predictive planning and machine-learning awareness An understanding of how predictive forecasting, trend analysis, anomaly detection and machine learning can support planning, together with the curiosity ...

Responsibilities Design, train, and evaluate reinforcement learning agents for control problems in data centre environments. Translate messy, real-world telemetry into well-posed ML problems, including state and action design, reward engineering, and constraint handling for safety-critical operation. Sanity-check model behaviour against physical first principles and catch … Strong working knowledge of reinforcement learning, including practical experience training and debugging deep RL agents on non-trivial problems Solid Python and modern ML tooling (PyTorch or JAX, NumPy, common RL libraries) Comfort working with time-series sensor data, including the realities of missingness, drift, calibration issues, and noisy ...

data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts … patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas ...

Senior Machine Learning Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most engineers think of when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building … driven architectures. Confidence leading system design discussions and making pragmatic architectural trade-offs. Strong cloud experience, ideally within Azure. Experience deploying, monitoring and maintaining ML or LLM models in production. Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management. Hands-on experience orchestrating LLM workflows using frameworks such as LangChain. ...

Share Senior Research Engineer, ML Lead, Health Frontiers Google London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Share Senior Research Engineer, ML Lead, Health Frontiers Bachelor’s degree or equivalent practical experience. 5 years of experience … training dynamics). Domain knowledge for health or fitness, combined with experience in scientific study design and causal inference. Record of influential research, deployed ML systems, open-source contributions, or technical leadership in an advanced ML organization. About the job The Health Intelligence team is focused on developing frontier technologies ...

Requirements Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains. Commercial or academic experience applying ML techniques to real-world problems. Experience leading high-quality research projects including publishing research to top-tier reviewed journals. Strong academics including a relevant … dental plans, 10% employer pension contributions and an extensive structured professional development programme. Keywords Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi-Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack ...

Lead Applied Scientist - AI & Machine Learning London (Hybrid - 2-3 Days per Week in the Office) Salary: £95,000 - £120,000 + Bonus + Excellent Benefits Are you an experienced AI and Data Science leader looking to shape the future of Generative AI and Machine Learning ...

leading UK technology training provider that is growing its Data Science and AI delivery team on government-facing programmes. You'll deliver GenAI, machine learning and Python training to public sector and enterprise learners. You'll also help shape how the courses are built, rather than just teaching … Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary: £70,000 - £80,000 Home-based, with travel to training centres and client sites (Cheltenham region ...

leading UK technology training provider that is growing its Data Science and AI delivery team on government-facing programmes. You'll deliver GenAI, machine learning and Python training to public sector and enterprise learners. You'll also help shape how the courses are built, rather than just teaching … Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary:£70,000 - £80,000 Home-based, with travel to training centres and client sites (Cheltenham region ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified candidates will have … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus is on creating analytical solutions that solve real world business … Data Science, Mathematics, Computer Science, Statistics, Analytics, Physics, or a related field. 3+years of experience in an analytics driven role (i.e., Data Scientist, ML Engineer, Data Analyst, etc.) Business experience in the insurance or financial services industry is preferred but not a must. Programming experience in Python with an understanding ...

research, road-mapping, and engineering work to deliver world models. When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously. Artificial intelligence will be one of humanity … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, Machine Learning ...

ensure teams have the resources and organisational support required to deliver. The position is particularly well suited to someone coming from AI/ML research, research engineering, technical project management or technical program management who wants to move closer to project/program leadership. What you’ll be doing Coordinate … translated into execution. It could also be an excellent career move for a technically strong Master’s/PhD graduate, research engineer or ML professional looking to move from pure research or engineering into project, program or product management without losing their connection to AI. #J-18808-Ljbffr ...

client is a leading British bank. Join us at our client as an Integrated Financial Crime Model Developer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. You will work within the Integrated Financial Crime portfolio … robustness, accuracy and performance of existing models. To be successful in this role, you will have experience in the following areas: Strong experience in machine learning and advanced analytics. Advanced Python skills for data processing and model development. Proven experience working with Databricks. Solid software engineering practices, including ...

support the full transformation journey - from planning strategy, process and operating model design through solution architecture, implementation, adoption and value realisation - embedding predictive analytics, machine learning and AI to improve forecast quality, scenario modelling and management insight. Our work is particularly relevant to capital-intensive Products and Resources … models, master data, driver‐based forecasting, forecast accuracy and bias, predictive forecasting, anomaly detection, scenario generation and automated performance insight. You can identify where machine learning and AI add value and define the transparency, validation, controls and human oversight required for responsible use. End‐to‐end delivery ...

agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security … strategy — adaptation, fine-tuning, and dynamic cost/quality/latency-aware routing Set the standards for high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer — knowledge graphs, ontologies, vector search, and semantic retrieval — grounding the solution ...