1 to 25 of 60 Machine Learning Jobs in the City of London

back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for a Staff Machine Learning Engineer who's eager to push the state of the art in the aerospace industry. This position is responsible for designing, building … and testing machine learning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal detection & characterization. This position will be headquartered at our Westminster, Colorado offices and is primarily an on … Space provides mission and flight optimization, mission design, mission systems engineering. With its technology solutions Advanced Space provides its customers with trusted AI/ML/autonomy expertise, flight-demonstrated applications, and analysis at scale. Advanced Space offers Mission Solutions with unique turn-key missions, data and capabilities purchases and More ❯

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯

Principal Machine Learning Engineer Paying between £100,000-£140,000 Hybrid in Central London La Fosse is partnered with a leading insurance company who are looking for an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible impact on profitability, sales, customer experience, and operational efficiency. What You'll … business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the Property & Casualty (P&C) insurance industry is a plus. Relevant experience in the insurance More ❯

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯

graduates, starting in 2025/early 2026. The ideal candidate will have a PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics. You will be developing skills in advanced quantitative techniques across a range of data types, markets and asset classes, in … innovative ideas, aid with research, design and implementation. Key Responsibilities: Analysing and evaluating financial and alternative datasets Researching existing and developing new techniques in machine learning Researching, developing and implementing quantitative trading signals/models Developing and maintaining modelling infrastructure Supporting production trading operations Qualifications: Have a PhD … in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics. Strong programming skills in Python. Excellent problem-solving skills and attention to detail. Strong analytical and mathematical background. Ability to work independently and as part of a team. Preferred Qualifications: Experience with data analysis More ❯

graduates, starting in 2025/early 2026. The ideal candidate will have a PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics. You will be developing skills in advanced quantitative techniques across a range of data types, markets and asset classes, in … innovative ideas, aid with research, design and implementation. Key Responsibilities: Analysing and evaluating financial and alternative datasets Researching existing and developing new techniques in machine learning Researching, developing and implementing quantitative trading signals/models Developing and maintaining modelling infrastructure Supporting production trading operations Qualifications: Have a PhD … in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics. Strong programming skills in Python. Excellent problem-solving skills and attention to detail. Strong analytical and mathematical background. Ability to work independently and as part of a team. Preferred Qualifications: Experience with data analysis More ❯

team to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced … Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. Experience of delivering Data More ❯

team to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced … Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. Experience of delivering Data More ❯

industry are looking for a highly skilled and experienced Security Architect with a strong specialisation in Artificial Intelligence (AI) and Machine Learning (ML) security. The role involves significant influence across the organisation, with customers and peers, regarding the strategic contribution of AI/ML security to business objectives. … experience. Current Security Professional Certification (CISSP, CISM). Proven understanding of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Deep understanding of AI/ML concepts, algorithms, models, regulations and controls. Extensive technical experience in AI/ML Security Architecture Proven threat modelling, risk analysis, and architectural validations In-depth … machine learning mitigation. Comprehensive understanding of ethical AI and governance. Proven AI security tool implementation and management. Extensive experience with AI/ML data privacy regulations (GDPR, CCPA). Strong DevSecOps expertise for AI/ML pipelines. Good strategic risk analysis and problem-solving. Good communication and stakeholder More ❯

I am recruiting for an experienced Security Architect with a strong specialisation in Artificial Intelligence (AI) and Machine Learning (ML) security. This is a hybrid role - 2 days in London, 3 days remote. This role does fall inside IR35 so you will need to work through an umbrella … the duration of the contract. The role involves significant influence across the organisation, with customers and peers, regarding the strategic contribution of AI/ML security to business objectives. You will apply a wide range of complex technical and professional security activities in diverse AI/ML contexts, driving the … development and execution of AI/ML security strategies. A key aspect of the role is contributing to the formulation of AI/ML security policies, standards and strategies, ensuring alignment with overall business and technology strategies. You will have several years experience of strategic cyber security. A current Security More ❯

work structure to help the customers, take on new technologies and develop business outclass. The Data Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of … background delivering data products Experience managing and establishing governance Strong understanding of Azure products such as Databricks Good background in Machine Learning (ML) analytics and deploying products Proven ability to mentor teams and lead continuous improvement in the data environment Excellent communication skills, attention to detail and self More ❯

disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. … You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform … system robustness and cost efficiency. Key skills and experience: ** Prior Senior Data Scientist with Machine Learning experience ** Strong understanding and experience with ML models and ML observability tools ** Strong Python and SQL experience ** Spark/Apache Airflow ** ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) ** Experience More ❯

a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience More ❯

optimisation models to predict pricing in real-time auctions Auditing current workflows and launching your own projects Working alongside product and engineering to deploy machine learning in production Developing live models that influence critical commercial outcomes Collaborating within a fast-moving, start-up-style environment You Strong experience … applying machine learning in real-time systems Background in programmatic advertising, MSPs, or ad-tech strongly preferred Proficient in Python Able to own technical strategy and execution end-to-end Comfortable working independently and creatively Experience working in a lean, startup-like environment Apply Now You can apply More ❯

optimisation models to predict pricing in real-time auctions Auditing current workflows and launching your own projects Working alongside product and engineering to deploy machine learning in production Developing live models that influence critical commercial outcomes Collaborating within a fast-moving, start-up-style environment You Strong experience … applying machine learning in real-time systems Background in programmatic advertising, MSPs, or ad-tech strongly preferred Proficient in Python Able to own technical strategy and execution end-to-end Comfortable working independently and creatively Experience working in a lean, startup-like environment Apply Now You can apply More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

a real impact, helping shape the company's technological foundations from the ground up. Working in an interdisciplinary environment -spanning physics, chemistry, biology, and machine learning-you'll continuously grow your skills while contributing to meaningful innovation. What We're Looking For: 2-4 years of hands-on … Experience in an Agile development environment Degree (BSc, MSc, or PhD) in Computer Science, Engineering , or a related field Bonus points for knowledge in machine learning, AI , data engineering , or DevOps/containerization GCS is acting as an Employment Agency in relation to this vacancy. More ❯

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Early-Stage Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help … on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and … in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for More ❯

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Early-Stage Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help … on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and … in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for More ❯

Medical Claims Analytics Expansion: Developing advanced methodologies for analyzing medical claims data, including cost trends, risk segmentation, and provider performance metrics. Utilizing AI and machine learning for predictive analytics to forecast claims trends, identify high-risk claims, and optimize provider performance, providing deeper insights for improved decision-making. … data-driven recommendations to inform decision-making. Project Management: Skilled in managing multiple projects, prioritizing tasks, and meeting deadlines while ensuring effective execution. Continuous Learning & Adaptability: Committed to staying updated on industry trends and emerging analytics practices to drive innovation. More ❯

R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity to More ❯

R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity to More ❯

with bold investments in modern technology. With a strong in-house development culture and agile delivery mindset, the business is pushing boundaries in AI, machine learning, and high-performance, low-latency trading infrastructure. The 300-person technology team operates in a Scrumban framework and covers Cloud, DevOps, Cybersecurity More ❯