1,251 to 1,275 of 2,193 Machine Learning Jobs in London

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance More ❯

one software programming language experience Experience working with end user or developer communities Experience in infrastructure architecture, database architecture and networking Experience working with Machine Learning and GenAI tools and architectures, agentic workflows, model training and inference optimization techniques and Large Language Models Amazon is an equal opportunities More ❯

or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred • Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies • Knowledge of security and compliance standards (e.g., HIPAA, GDPR) • Expertise in performance optimization and cost management for cloud environments More ❯

Vision: Collaborating with technical and non-technical stakeholders to define and enforce best practices, ensuring the architecture supports data-driven decision-making across analytics, machine learning, and BI. About you You’ll bring strong expertise in: Azure Data Factory: Experience working at scale is highly valued. Python: Advanced More ❯

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the More ❯

Vision: Collaborating with technical and non-technical stakeholders to define and enforce best practices, ensuring the architecture supports data-driven decision-making across analytics, machine learning, and BI. About you You’ll bring strong expertise in: Azure Data Factory: Experience working at scale is highly valued. Python: Advanced More ❯

we're working on technology that will transform purchasing and bring savings and efficiency for a digital, intelligent, and sustainable future. Through artificial intelligence, machine learning, and predictive analytics, Amazon Business (AB) brings automation and insights to provide a procurement solution to enable pioneering leaders to have a More ❯

and Technology Highly motivated, attention to detail, adaptable, and eager to learn Preferred Qualifications, Capabilities, and Skills Good knowledge of statistics and/or machine learning, programming skills in Python Interest in market microstructures and quantitative systematic trading across asset classes Strategic and creative thinking when faced with More ❯

using storytelling techniques to effectively communicate insights and recommendations. Stay up to date with the latest advancements, trends, and research in AI, data science, machine learning, and related technologies. Document experimental methodologies, findings, and insights to ensure transparency, reproducibility, and knowledge sharing within the team and across the More ❯

and business continuity capabilities. • Collaborate on optimizing risk data pipelines ensuring accurate global and regional risk insights. • Integrate advanced analytics, predictive modeling, AI, and machine learning to enhance risk assessment accuracy, streamline processes, and support real-time monitoring. • Collaborate closely with global and regional stakeholders, engineers, analysts, and More ❯

operational systems, and simplify deployment among our fleet of customer installations. Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence. What you will be doing: Collaborating with other Engineers in the team, developing and implementing More ❯

and Adobe Target. Ensure experiments are operationally sound, statistically rigorous, and aligned with business objectives. Develop audience strategies using both rule-based segmentation and machine learning models to identify high-value customer groups. Share key learnings and success stories to scale impact across British Airways. Contribute to a More ❯

Candidates must be able to think and operate at all levels (both strategically and tactically) - A Bachelors Degree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) - Knowledge of SQL is mandatory - Expert in SQL/Redshift is preferred - Ability to progress autonomously in More ❯

robotics or automation industries. Familiarity with industry standards (e.g., ISO 26262, IEC 61508, SOTIF, ASPICE, MISRA, ISO 21434) and certification processes. Knowledge of AI, machine learning, or advanced sensor technologies is a plus. Benefits High competitive salary. 23 working days of vacation per year. Flexible working hours. Opportunity More ❯

robotics or automation industries. Familiarity with industry standards (e.g., ISO 26262, IEC 61508, SOTIF, ASPICE, MISRA, ISO 21434) and certification processes. Knowledge of AI, machine learning, or advanced sensor technologies is a plus. Benefits High competitive salary. 23 working days of vacation per year. Flexible working hours. Opportunity More ❯

robotics or automation industries. Familiarity with industry standards (e.g., ISO 26262, IEC 61508, SOTIF, ASPICE, MISRA, ISO 21434) and certification processes. Knowledge of AI, machine learning, or advanced sensor technologies is a plus. Benefits High competitive salary. 23 working days of vacation per year. Flexible working hours. Opportunity More ❯

robotics or automation industries. Familiarity with industry standards (e.g., ISO 26262, IEC 61508, SOTIF, ASPICE, MISRA, ISO 21434) and certification processes. Knowledge of AI, machine learning, or advanced sensor technologies is a plus. Benefits High competitive salary. 23 working days of vacation per year. Flexible working hours. Opportunity More ❯

You will collaborate with Supply Chain and Delivery Experience teams to optimize network speed and enhance customer experience. The role involves data analysis, statistics, machine learning, and usage of AWS services. We are looking for someone who thrives in a fast-paced environment, demonstrates strong project management capabilities More ❯

will create and share best practices, technical content and reference architectures, for a variety of use cases. e.g. High Performance Computing (HPC), Artificial Intelligence, Machine Learning, Serverless and Container based architectures, Analytics and Big Data, DevOps or Security. You will have the support to grow your expertise in More ❯

highly skilled team of 20+ data scientists globally with opportunities to learn and develop. What Will You Be Doing? Use simple analytics, causal inference, machine learning or any other techniques to understand our user behaviour and assess effectiveness of multiple marketing channels. Build or improve existing forecasting models. More ❯

Your role will consist of: Defining the overall technical direction and strategy for your team Mentoring and nurturing front and back software engineers and machine learning engineers, helping them grow in their career Being responsible for technical decisions taken by the team Working alongside the engineers to design More ❯

of The Economist's business. From helping us to define the right KPIs and commercial model, to identifying opportunities to innovate using AI and machine learning, this is more than just another B2B analysis role. You will be working closely with a wide range of stakeholders including; senior More ❯

of The Economist's business. From helping us to define the right KPIs and commercial model, to identifying opportunities to innovate using AI and machine learning, this is more than just another B2B analysis role. You will be working closely with a wide range of stakeholders including; senior More ❯

tools such as Docker, Kubernetes, Ansible, or Terraform Prior experience working with or delivering projects for in the defence industry Exposure to AI/ML is a plus, but not essential Comfortable working in Agile teams and secure environments This is an excellent opportunity for someone with a background in More ❯

tools such as Docker, Kubernetes, Ansible, or Terraform Prior experience working with or delivering projects for in the defence industry Exposure to AI/ML is a plus, but not essential Comfortable working in Agile teams and secure environments This is an excellent opportunity for someone with a background in More ❯