1 to 25 of 153 Machine Learning Jobs in the City of London

Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists … Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer ...

move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will work across the full ML lifecycle, from designing and developing models through to deploying, scaling and continuously improving production systems. Depending on seniority, you will also have the opportunity … Develop and deploy production-grade Machine Learning solutions , building scalable AI systems that solve complex real-world challenges. Design end-to-end ML architectures , including model development, MLOps pipelines, deployment strategies and continuous optimisation. Collaborate with engineering, data and product teams to deliver robust, production-ready AI solutions ...

seeking a Principal Research Scientist to help define and accelerate our long‐term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for a motivated and detail-oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in our London … office. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify ...

will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable ...

convert business ambition into scalable, AI-driven products. Key Responsibilities Leadership & Team Growth: Mentor, scale, and inspire a world-class team of data and ML engineers, instilling high standards for software execution, operational excellence, and continuous growth. Technical Strategy & Architecture: Define and execute the long-term vision for enterprise data … grade data platforms and machine learning solutions that deliver tangible commercial outcomes. Technical Credibility: Strong foundational depth in modern data architecture and ML deployment, with a passion for getting into the engineering details when necessary. Executive Communication: Exceptional ability to translate complex technical concepts into clear, value-driven ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

+ Bonus + Excellent Benefits We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

and deep learning, acting as a critical bridge between theory and implementation: designing, building, and scaling the complex systems on which our ML research depends. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise … culture that embraces modern ML tooling, including agentic workflows. Key responsibilities include implementing and optimising large neural network models; building robust infrastructure for distributed training, evaluation, and inference; and partnering with ML Scientists to take research from prototype to production-grade systems applied to large, multi-modal biological data, tested ...

high-impact projects across National Security, Government and cutting-edge technology. About the Role This is a great opportunity for someone who enjoys taking ML out of the lab and into production, working across software engineering, machine learning and cloud infrastructure. Responsibilities Building and deploying production-grade ML … software, tools and infrastructure Developing scalable and reusable ML solutions Working closely with engineers, data scientists and clients Contributing to technical architecture and solution design Helping define best practices for deploying ML at scale Advising clients and translating complex ML concepts into practical solutions Qualifications Strong Python and software engineering ...

medicines are discovered and deliver meaningful impact for patients. The opportunity We are seeking an exceptional Machine Learning Scientist who combines strong ML fundamentals with a deep understanding of biological data, to help build the next generation of generative and predictive models of cellular behaviour. Your work will … joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise. We embrace modern ML tooling, including agentic workflows, to accelerate the pace of research iteration. This is an opportunity to push the boundaries of what generative modelling can achieve in complex ...

analytics function is seeking a Data Scientist to join its central Data & AI team. This is an opportunity to help shape the organisation's machine learning and predictive analytics capability, using large-scale operational datasets to deliver actionable insights that support better decision-making. Working closely with technical … business stakeholders, you will develop advanced analytical solutions that identify future risks, opportunities, and outcomes. Key Responsibilities Develop predictive and prescriptive models using machine learning and statistical techniques. Analyse large and complex datasets to identify patterns, trends, risks, and performance opportunities. Work with stakeholders to define business problems ...

Machine Learning Scientist | AI for Energy | Hybrid We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques. If you're passionate about solving complex real-world problems and enjoy working with large-scale … data, we'd love to hear from you. You'll be working with: Time series forecasting and analysis Digital twins Surrogate modelling Deep learning models Real-world energy datasets to optimise performance and decision-making We're looking for someone with: Strong experience in Machine Learning ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates ...

quality measurement Embeddings, reranking, and retrieval orchestration Evaluation datasets, benchmarking, and annotation workflows Advanced programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large-scale datasets, distributed data/ML platforms, and production AI systems. … assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high-trust ...

setting technical direction for advanced analytics, machine learning, experimentation and responsible AI. You will design and deliver end-to-end analytical and ML solutions, including forecasting, causal analysis, A/B testing, model development, LLM evaluation and monitoring, and reusable data science assets. Working closely with data platform … Pandas, scikit-learn and NumPy. Strong programming skills in SQL or Spark SQL Experience in Natural language processing and working and developing LLMs Full ML model lifecycle experience Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong numeracy ...

questions are complex, the data is challenging and the outcomes genuinely matter. You'll work alongside experts from a range of disciplines, using machine learning, AI and advanced analytics to solve problems that have real-world impact. You'll be trusted to explore, experiment and develop practical solutions … science solutions, combining analytical thinking with strong engineering principles to build models that can be relied upon in production. Your work could involve: Developing machine learning models that solve complex operational challenges. Working with structured, unstructured and streaming data to uncover meaningful insights. Designing scalable data pipelines ...

production fraud detection models. Working within our Fraud Intelligence team, you'll analyse large-scale datasets, identify new behavioural signals and optimise machine learning models to improve fraud detection accuracy while reducing false positives. This is a highly practical role suited to someone who enjoys working with complex … data and delivering measurable improvements to live production models. You'll work closely with Machine Learning Engineers and Product teams to continually enhance the intelligence powering our fraud prevention platform. Responsibilities Analyse large-scale fraud and transaction datasets. Engineer new features to improve fraud detection performance. Optimise production ...

Drug Discovery (Osteoporosis Programme) Location: London, UK Company: Relation At Relation, we're building a new kind of TechBio company, combining cutting-edge biology, machine learning, and engineering to discover transformational medicines for patients living with some of the world's most devastating diseases. As we continue … Lead, Lead Optimisation, Candidate Selection, and beyond. Operating across the full programme, you'll bring together interdisciplinary teams—including wet lab biology, machine learning, data science, engineering, and external CRO partners—to ensure projects remain aligned, risks are managed proactively, and delivery stays on track in a fast ...

Research Engineer - AI/ML/LLM We are partnered with a global leader in the semiconductor industry. The team is looking to hire a Research Engineer to contribute to cutting-edge AI projects spanning both applied and fundamental research, with a focus on applying AI to semiconductor design … This is a permanent opportunity based in London or Cambourne, UK. Key responsibilities for this Research Engineer position: Implement and test research ideas across machine learning and AI. Build prototypes and support experiments for team and company projects. Collaborate with researchers to translate theoretical models into practical systems. ...

data governance and access control frameworks for systems Create security-by-design principles for AI model development Design threat models specific to AI/ML systems and attack surfaces Technical Security Standards: Develop and maintain security frameworks and best practices Create secure coding standards for ML engineers and data scientists … systems architecture, or infrastructure security Proven capabilities in designing and architecture large-scale systems Experience in hands-on and applied experience with AI/ML security architecture Deep technical knowledge of: Machine learning systems and workflows AI/ML vulnerabilities and attack vectors (adversarial examples, model extraction, poisoning ...

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. ...

retrieval architectures (lexical, vector, hybrid) Evaluation methodologies for IR and generative AI systems Strong 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 and machine learning platforms Understanding … ranking, recommendation, or retrieval 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 Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience working in content-rich, knowledge-intensive ...

strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior … proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree‐based methods to advanced deep learning architectures. Practical experience with ...

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/data mining algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified … 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 ...