101 to 125 of 184 Machine Learning Jobs in the City of London

Track record working on data-intensive or high-scale systems Exposure to cloud infrastructure (AWS/Azure/GCP), Kubernetes, or similar Understanding of ML/AI systems in production is a strong plus You’re a builder, not just a manager You’re comfortable with ambiguity and pace ...

coding models on a language with no pretraining footprint, including the supervised and reinforcement stages that build competence from zero. Publish in PL and ML venues. Choose the next experiments. Help shape what verified computing looks like in the wild. Who you are You publish at top venues in some … combination of machine learning, programming languages, or formal methods. People who cross between them are who we want most. PhD preferred, equivalent output equally fine. You can talk fluently about both training dynamics and type systems. You do not need expertise in both, but you need real curiosity ...

Architect, design, and develop critical systems for factory automation, real-time data processing, and user experience. Own full-stack development across infrastructure, backend services, machine learning, UX, and real-time monitoring. Work directly with leadership to identify bottlenecks and build software solutions that improve factory operations. Deploy … iterate software rapidly on-site, integrating directly with production processes. Lead projects from conception to deployment, ensuring fault-tolerant systems in demanding environments. Optimize machine tool utilization and manage orchestration across multiple production facilities. What they're looking for 2–6 years of full-stack software development experience, exceptions ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value click apply for full job details ...

Principal Product Data Scientist in London. You will join the Operations Delivery Intelligence directorate, focusing on creating decision-support software using advanced machine learning techniques. The ideal candidate will have a master's degree or extensive experience in data science and strong Python skills. Opportunities for development ...

agent capabilities Iterate continuously based on real-world usage, feedback, and outcomes WHAT WE'RE LOOKING FOR 5+ years of experience in applied AI, machine learning, or software engineering Concrete, hands-on experience building and deploying LLMs and agentic frameworks in production Strong Python engineering skills Strong systems ...

owning your own work & projects Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills Relentless about self-improvement and hold yourself to incredibly ...

trading, analytics or modelling Strong knowledge of Gas, LNG & Power markets Experience with Python (pandas, NumPy) and data-heavy environments Understanding of forecasting/ML workflows Strong stakeholder and Agile delivery skills ...

including work with data platforms, models, or analytics products Strong technical understanding of data systems, analytics, and data governance principles SQL, databricks, AI/ML product experience Ability to collaborate effectively with both technical and non-technical stakeholders Experience with agile methodologies, product lifecycle management, and roadmap planning Customer-focused ...

should have a bachelor’s degree or higher in a STEM subject (or equivalent portfolio/work experience). You must have familiarity with ML frameworks such as scikit-learn, PyTorch and a strong grasp of statistical inference, hypothesis testing and experimental design. In your career so far, you will … have ideally gained hands-on project experience of implementing at least 1 machine learning algorithm and will have the ability to interpret and explain complex analysis in simple terms to stakeholders and team members (expert and non-expert alike). The business has offices across ...

completely re-imagine how they train and deploy their talent pools. You’ll start by helping shape a new generation of engineers — people learning how to build properly across data, AI, and modern systems. But this isn’t about slides or theory. It’s about teaching what actually works … both without compromise. Skills & Experience Required Educated to degree level in a STEM subject; Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine Learning A commercial background in building and delivering data science and AI solutions end to end Ability to lead teach and deploy teams of engineers, data ...

High attention to detail and pride in engineering craft Comfortable operating in ambiguity and moving quickly Bonus points for: Academic or applied experience in machine learning Experience bridging research and production systems What’s on Offer £150,000 depending on experience Meaningful early-stage equity 5% employer pension ...

kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream ...

record of closing deals. Based in the UK with experience selling into UK/EU markets. Strong understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation). Excellent consultative selling, communication, and stakeholder management skills. Experience selling into enterprise, healthcare, research tech, or public sector organisations ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

high‐impact trading and research platforms. Projects vary from core trading system development to front‐office tooling, data‐driven applications, and the use of machine learning across the investment workflow. It’s a fast-moving, highly technical environment where code quality, performance, and reliability matter. The team runs ...

model risk management Experience working outside regulated risk environments Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling What you’ll get in return Up to £90,000 base salary, plus a strong bonus and a comprehensive ...

environments. Key Responsibilities - Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response ...

environments. Key Responsibilities - Monitor and evaluate emerging IAM trends (eg, passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response ...

Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment ...

technology market A track record of consistent billing within a recruitment setting Experience developing and managing hiring partnerships within Software Engineering, Data, Machine Learning or AI markets Strong commercial awareness and ability to sell hiring solutions Ability to operate within a high-performance environment Why Signify? Signify ...

/EU technology market A track record of consistent billing within a recruitment setting Experience developing and managing hiring partnerships within Software Engineering, Data, Machine Learning or AI markets Strong commercial awareness and ability to sell hiring solutions Ability to operate within a high-performance environment Why Signify ...

Antenna Materials Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities Conduct independent and/or collaborative scientific research ...

scratch Comfortable working in fast-paced, evolving environments Interested in startup or high-growth settings Collaborative, pragmatic, and user-focused Interest in AI/ML is a bonus Additional Information London-based role with primarily in-office working Competitive salary Relocation support available for candidates moving to London from within ...

usage, invalid inputs, and latency amplification. Produce and maintain formal testing evidence required for internal release approvals (build and operate gates). Collaborate with ML Engineers to integrate test hooks and observability directly into MCP servers and Skills. Contribute to defining long-term quality assurance standards, testing practices, and governance ...