26 to 50 of 229 Machine Learning Jobs in the City of London

hands-on technical leadership role combining AI engineering, solution architecture, project delivery and people management. You will lead multidisciplinary teams to take AI and machine learning solutions from concept through to production, ensuring they are scalable, secure, reliable and deliver measurable value. Your initial work will focus … stakeholders while guiding teams across software engineering, data engineering and cloud/platform engineering. Key Responsibilities Lead multidisciplinary teams delivering production-grade AI and machine learning solutions. Own technical direction, architecture and engineering standards across AI projects. Design and deliver solutions involving generative AI, large language models (LLMs ...

developing your knowledge and skills in an area that interests you, whilst working towards your apprenticeship qualification with one of our learning providers. WHY JOIN THIS SCHEME? Data Science isevolvingtheway the BBCoperates. Our data scientists help us to better understand thecustomersweserve,and the content served to them,turningraw data … valuable insightsand products to better serve audience needs. Whether audiences arewatching on BBC iPlayer,listening on BBC Sounds,reading BBC News and BBC Sportarticlesor learning on BBC Bitesize,behind the scenes data scientists are at work...fancy being one of them?! Want to find out more? Watch recordings from ...

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 ...

looking for a Data Scientist to join our OTCR Transformation Programme in London, where you will leverage advanced analytics, machine learning, and data visualisation to deliver actionable insights that support strategic risk decisions. This is an opportunity to work on high-impact transformation initiatives, collaborate with senior stakeholders … Analysis and Modelling Perform exploratory data analysis to identify trends, anomalies and insights across internal and external datasets. Develop and implement predictive models using machine learning, statistical methods and natural language processing, where appropriate. Apply quantitative analysis to support scenario assessments, thematic reviews and stress testing. Ensure model ...

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 ...

Machine Learning Engineer 6 Month Contract £550 to £700 per day Inside IR35 Fully Remote The Opportunity A leading FTSE 100 organisation is seeking a Machine Learning Engineer to join its growing AI and data function click apply for full job details ...

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. ...

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 ...

Research Fellow in Machine Learning and Spatial Statistics Research Fellow, Dept. of Statistics and Dept. of Computer Science, University of Warwick An enthusiastic individual is sought as a postdoctoral research fellow to work in the area of machine learning and spatial statistics. The post … Register Foundation funded project ‘Air Quality Sensor Networks’. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design, and issues in spatiotemporal inference such as non-stationarity and non-separability. Requirements include a PhD or equivalent qualification in Statistics, Computer ...

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 ...

production while maintaining a strong emphasis on engineering discipline, system performance, and high-quality software craft. Key Responsibilities: Develop and maintain data-and-ML-driven, cloud-based applications. Build and maintain robust APIs and data contracts for data science teams and broader Ocado systems. Manage cloud deployments and continuously improve … Rigorous testing and delivery discipline, encompassing integration testing and modern CI/CD practices. Hands-on MLOps experience, specifically in packaging, serving, and monitoring ML models in production. Demonstrated track record of collaborating effectively with data scientists and cross-functional engineering teams. Practical experience using AI coding agents on production ...

Type: Full-time | Permanent Salary: Up to £110k total compensation About Us We're an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker … looking for an AI Infrastructure Lead - someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business. The Role As our first senior AI hire, you'll take ownership of designing and building the foundation ...

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 … components or workstreams and ensuring they are scalable, secure, resilient and aligned to business objectives. Design and build AI applications and platform components, integrating machine learning, generative AI and agentic AI capabilities with enterprise systems such as CRM, CDP, CMS, DAM and cloud data platforms. Contribute to architectural ...

prioritize requirements for AI-powered product capabilities and workflows. Partner closely with Engineering and Data Science teams to evaluate, operationalize, and enhance AI, Machine Learning, and Generative AI solutions. Manage product backlogs, write user stories, define acceptance criteria, and ensure delivery aligns with customer and business objectives. Participate … agile delivery environments. Strong analytical skills and ability to prioritize competing customer, business, and technical requirements. Experience delivering AI-powered products or capabilities, including Machine Learning, Generative AI, intelligent automation, conversational AI, or related technologies. Experience with Agile product ownership, backlog management, sprint planning, and product discovery practices. ...

research strategy, roadmap and build-versus-buy decisions across LLMs, vision models and agentic systems Build and lead a team of AI Researchers and ML Engineers while remaining hands-on with the most complex technical challenges Drive model training, fine-tuning, distillation, agent development and evaluation frameworks Develop AI systems … Research, Applied AI or Machine Learning Engineering Strong hands-on expertise with LLM fine-tuning, agentic AI systems, model evaluation and production ML infrastructure Experience developing and deploying AI systems within highly regulated industries Deep understanding of model quality, benchmarking, explainability, governance and continuous improvement frameworks Background ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

Those who haven't been awarded their PhD yet will also be considered. Strong software development skills including Python and its various AI/ML focused libraries, version control (git) and Linux. A research mindset, able to plan and carry out a programme of research independently or collaboratively and produce … Network Security, AI Security, Cyber-Physical Systems Security, Systems Assurance, Software Assurance, Formal Verification, National Security, Security, Artificial Intelligence, AI, Machine Learning, ML, AI Agents, Agentic AI, Recommend for £250 - see www.ecmselection.co.uk/tell-a-friend for details. #J-18808-Ljbffr ...

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 ...

GenAI and agentic AI We're looking for: Advanced Python, including NumPy, Pandas and Scikit-learn, with hands-on experience building, training and deploying ML models Strong practical knowledge of GenAI, including prompt engineering, LLM optimisation, multimodal AI and agentic AI systems Experience using machine learning, statistical modelling … Java Experience with Spark, Databricks or similar distributed data platforms, and exposure to MLOps Experience of AWS, Azure or GCP AI/ML services, ideally with vendor certifications An MSc or PhD in Data Science, AI, Computer Science, Maths or a related field, or NVIDIA Deep Learning Institute certifications ...

with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO Key responsibilities Deploy machine learning models to production and implement measures to monitor their performance Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based … Infrastructure as Code tools (e.g. Terraform or CloudFormation) Strong understanding of data modelling and system architecture Demonstrable experience on at least one AI/ML project Knowledge of common machine learning frameworks and models A good understanding of approaches to monitoring ML models in production Experience leading ...

retrieval architectures (lexical, vector, hybrid) Evaluation methodologies for IR and generative AI systems Advanced programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design … search, ranking, or recommendation systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Publications or applied research contributions in NLP, IR, search, or generative AI Experience building AI systems in regulated, high‐trust ...

motivated by applying their work to the world’s most consequential decisions. What you’ll do Train large-scale models. Apply frontier ML methods in supervised learning and natural language processing to develop state-of-the-art simulations of individuals, subgroups, and populations. Ground models in data. Develop innovative … success in deploying trained models in a commercial setting where they generated revenue. Research literacy to navigate and push forward the frontier of ML research and its applications in behavioural science. Python-strong: our simulation engine is Python-based, and this role lives in Python day-to-day. Nice ...