1,026 to 1,050 of 2,224 Machine Learning Jobs in London

believe in the transformative power of AI to revolutionize how businesses operate. We're dedicated to creating industry-leading solutions that leverage AI and machine learning to help our clients optimize their workflows, automate processes, and scale efficiently. To make this happen, we're looking for people who More ❯

methods and tools to optimize marketing campaigns and resource allocation. This includes designing and analyzing A/B tests, creating testing methodologies, and applying machine learning techniques to predict outcomes where testing isn't feasible. Collaboration You will work closely with data scientists across Expedia Group, digital marketing More ❯

Python, Ruby, etc. - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field - Experience working directly with business More ❯

with large-scale, high-concurrency systems and ensuring high availability. Previous experience managing globally distributed teams, fostering collaboration across time zones. Experience in building machine learning solutions and data-driven software is a plus. You Have a Passion For: Solving complex data challenges and turning raw data into More ❯

production data from non-production environments with right-sized, production-like data. Since 2018 we have pioneered the generation of production-like data for machine learning and application development across all structured data formats within one platform. Our products are used by some of the world's leading More ❯

production data from non-production environments with right-sized, production-like data. Since 2018 we have pioneered the generation of production-like data for machine learning and application development across all structured data formats within one platform. Our products are used by some of the world's leading More ❯

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 ❯

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 ❯

field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Experience using very large datasets - Strong More ❯

linked to Indexing/Funds. Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud. Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context. Compensation/Benefits Information: LSEG is committed to offering competitive Compensation and Benefits. The More ❯

designing, and deploying critical analytical pipelines supporting high-quality and reusable data assets. Transform data into actionable insights to support data analytics, data science, machine learning, and AI business use cases. Specialize in transforming and preparing unified cross-functional data sets supporting reports and dashboards that visualise complex More ❯

digital products/services). Leverage your domain expertise to showcase how Customer Data Infrastructure enables digital analytics, marketing, product analytics, and AI/ML use cases. Design and deliver bespoke pitches and demos for various prospect stakeholders such as Heads of Data, CTOs, data engineers/analysts/scientists More ❯

e.g. GCP (Dataflow, BigQuery), Azure, or AWS equivalents Jira, Confluence CI/CD and DevSecOps best practices 🎓 Certifications (Preferred) Databricks Certified Professional (Data or ML Engineer), ideally also Architect-level Cloud architecture certification (AWS, Azure, or GCP) Degree or MSc in Computer Science, Software Engineering, or similar More ❯

e.g. GCP (Dataflow, BigQuery), Azure, or AWS equivalents Jira, Confluence CI/CD and DevSecOps best practices 🎓 Certifications (Preferred) Databricks Certified Professional (Data or ML Engineer), ideally also Architect-level Cloud architecture certification (AWS, Azure, or GCP) Degree or MSc in Computer Science, Software Engineering, or similar More ❯

with the pragmatism to deliver high-impact solutions. Experience of understanding of modern tech like Cursor AI, LLMs (ChatGPT, Groq or similar) and Azure ML is a bonus. Communication : Fluent in written and oral English. Role Overview : Head of Artificial Intelligence Technology Team: This team will be expanding gradually, and More ❯

with the pragmatism to deliver high-impact solutions. Experience of understanding of modern tech like Cursor AI, LLMs (ChatGPT, Groq or similar) and Azure ML is a bonus. Communication : Fluent in written and oral English. Role Overview : Head of Artificial Intelligence Technology Team: This team will be expanding gradually, and More ❯

GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictive modelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank holidays), increasing with service • Annual discretionary bonus scheme • Private More ❯

GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictive modelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank holidays), increasing with service • Annual discretionary bonus scheme • Private More ❯

GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictive modelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank holidays), increasing with service • Annual discretionary bonus scheme • Private More ❯

best-practice design patterns Bachelor's or Master's degree in Computer Science or related field (or equivalent experience) Experience in applying AI/ML to solve customer problems would be a bonus Experience with Python3, Django, PostgreSQL, Redis, Rest APIs, or similar modern programming languages and frameworks. Knowledge of More ❯

As a Senior Applied Researcher, your key responsibilities will include: Delivering for customers at scale . You'll build, deploy, monitor and iterate on ML models and systems that scale across 40+ sports and to thousands of simultaneous sports matches. Project leadership . You'll own projects that meet your … view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex AI/ML models and systems in production at scale. A proven track record . You know how to focus on products, delivering impactful AI/ML products … through close collaboration with partners. Nice-to-Haves Sports industry experience . If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Real-time experience . You know how to work with ML models for real-time and low More ❯

in Singapore. AWS is at the forefront of providing a broad set of global cloud-based services including compute, storage, databases, networking, analytics, deep Machine learning, robotics, and enterprise applications, to help organizations move faster, lower IT costs, and scale. This is a dynamic business within and one … we can't achieve. Inclusive Team Culture In AWS Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate More ❯

internal teams. Team Management and Development: Lead, mentor, and develop a team of Product Managers within the Data Cluster. Foster a culture of continuous learning, collaboration, and high performance. Hold team members accountable for their performance and professional growth. Technical Expertise: Bring a deep understanding of data technologies, including … batch processing, stream processing, storage, analytics, machine learning, and AI. Collaborate with Engineering teams to ensure the data platform meets technical requirements and supports product initiatives. Evaluate and implement new technologies and tools to enhance data capabilities. Cross-functional Collaboration: Work closely with Engineering, Design, Data Science, and More ❯

concepts with end-users and refine strategies. Serve as a subject matter expert in the field of Data Science and Advanced Technologies, including AI, Machine Learning, and GenAI. Keep the team updated on the latest industry trends and advancements. Present findings to senior leadership and at company-wide … the technology vision for the business and support the execution of key initiatives. Experience: A solid engineering background, with deep expertise in AI/ML technologies. Practical experience in developing and supporting production systems as either a software developer or data scientist. Proven leadership experience in managing teams to deliver … complex, high-impact solutions, particularly across international and distributed teams. Demonstrated success in implementing and integrating advanced data science technologies, including AI/ML and GenAI, into production environments. Strong cross-functional communication skills, including stakeholder management and the ability to present technical insights at the executive level Proficiency in More ❯

concepts with end-users and refine strategies. Serve as a subject matter expert in the field of Data Science and Advanced Technologies, including AI, Machine Learning, and GenAI. Keep the team updated on the latest industry trends and advancements. Present findings to senior leadership and at company-wide … the technology vision for the business and support the execution of key initiatives. Experience: A solid engineering background, with deep expertise in AI/ML technologies. Practical experience in developing and supporting production systems as either a software developer or data scientist. Proven leadership experience in managing teams to deliver … complex, high-impact solutions, particularly across international and distributed teams. Demonstrated success in implementing and integrating advanced data science technologies, including AI/ML and GenAI, into production environments. Strong cross-functional communication skills, including stakeholder management and the ability to present technical insights at the executive level Proficiency in More ❯