1 to 25 of 52 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 ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG … and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy … workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using 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 ❯

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 ❯

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 ❯

and designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning … gather the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU 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 ❯

disciplinary senior squad of about 6 members, including Principal and Senior Software Engineers, Data Engineers, and Data Scientists. Your main responsibilities will include supporting machine learning teams in deploying and maintaining models in production, ensuring reliability, scalability, and … adherence to best practices. You will optimize model performance, mitigate risks, and refine deployment pipelines to meet governance and regulatory standards. Collaboration with the ML platform team will be essential, especially advocating for effective use of tools like feature stores and model registries. This role acts as a bridge between … robustness and cost efficiency. Key skills and experience: Prior experience as a Senior Data Scientist with Machine Learning expertise Strong understanding of ML models and observability tools Proficiency in Python and SQL Experience with Spark and Apache Airflow Knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-Learn) Experience with More ❯

services. Experience a dynamic workplace where your ideas are valued, and you contribute to a market-leading position. Embrace a culture that encourages continuous learning, problem-solving, and impactful collaboration. People are at the heart of everything we do, so we are proud to embrace a culture of inclusion … Develop a High-Performing Team: Lead and mentor data analysts and engineers, fostering a collaborative and innovative environment Stay Ahead of Trends: Explore AI, machine learning, and predictive analytics to enhance decision-making and operational efficiency What You Can Offer Proven experience in a similar role, having a … developing lean, high-performing in-house and off-shore technology teams, with strong people management skills We're Also Keen On Familiarity with AI, machine learning, and predictive analytics, applying them to business challenges Background in education technology, recruitment technology, or a related sectors Relevant degree (Data Science More ❯

services. Experience a dynamic workplace where your ideas are valued, and you contribute to a market-leading position. Embrace a culture that encourages continuous learning, problem-solving, and impactful collaboration. People are at the heart of everything we do, so we are proud to embrace a culture of inclusion … Develop a High-Performing Team: Lead and mentor data analysts and engineers, fostering a collaborative and innovative environment Stay Ahead of Trends: Explore AI, machine learning, and predictive analytics to enhance decision-making and operational efficiency What You Can Offer Proven experience in a similar role, having a … developing lean, high-performing in-house and off-shore technology teams, with strong people management skills We're Also Keen On Familiarity with AI, machine learning, and predictive analytics, applying them to business challenges Background in education technology, recruitment technology, or a related sectors Relevant degree (Data Science More ❯

services. Experience a dynamic workplace where your ideas are valued, and you contribute to a market-leading position. Embrace a culture that encourages continuous learning, problem-solving, and impactful collaboration. People are at the heart of everything we do, so we are proud to embrace a culture of inclusion … Develop a High-Performing Team: Lead and mentor data analysts and engineers, fostering a collaborative and innovative environment Stay Ahead of Trends: Explore AI, machine learning, and predictive analytics to enhance decision-making and operational efficiency What You Can Offer Proven experience in a similar role, having a … developing lean, high-performing in-house and off-shore technology teams, with strong people management skills We're Also Keen On Familiarity with AI, machine learning, and predictive analytics, applying them to business challenges Background in education technology, recruitment technology, or a related sectors Relevant degree (Data Science 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 ❯

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 ❯

framework, React, Angular etc. A strong understanding of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and More ❯

Experienced with CI/CD for data workflows, version control (e.g., Git), and automation in data engineering. Desirable: Experience with Apache Spark Familiarity with machine learning frameworks and libraries Understanding of data governance and compliance Strong problem-solving and analytical skills Excellent communication and interpersonal skills Package: Up … to 110K basic salary Hybrid working: 4 days onsite London Learning and development programmes Vitality Health Care Unum Dental Life Assurance & Income Protection Car scheme Cycle to Work Retail discounts 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 ❯

in Agile environments with cross-functional teams Excellent communication and stakeholder engagement skills Working knowledge of Python and associated libraries for data processing and machine learning Comfortable with task estimation and dependency mapping Desirable Skills Familiarity with Hadoop , Jenkins , or Java AWS or Azure certifications Experience leading technical More ❯

framework, React, Angular etc. A strong understanding of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and More ❯

etc. DevOps experience - CI/CD, Test Automation, Containerization - tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech More ❯

meaningful, complex challenges with creativity and precision. Key Responsibilities: Lead the development of scalable analytics tools across secure cloud and on-premise environments. Apply machine learning and AI creatively to solve problems in the intelligence and public sector space. Work with large-scale structured, unstructured, and geospatial datasets. … Key Requirements: 6-8 years of hands-on experience in Data Science, ideally in applied or product-driven environments. Strong background in maths, statistics, ML, and working with big data. Excellent Python skills, plus experience with SQL and Tableau. Proven ability to build analytical platforms, not just run analysis. Eligible More ❯

functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills More ❯