751 to 775 of 808 Data Science Jobs in London

develop and execute strategies to build the corresponding products across a complex ad tech and machine learning technology stack.Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build the products used by billions of people and businesses every day. We are looking for extremely entrepreneurial Product Managers who know how to move … of broader organizational strategies and goals Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry Incorporate data, research, and market analysis to inform product strategies and roadmaps Drive product development with teams of world-class engineers and designers, while maintaining team health Work closely with cross … product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones Experience delivering technical presentations Experience analyzing complex, large-scale data sets and making decisions based on data Technical experience with analytical tools, methodologies, and design Displaying leadership, organizational and execution skill Experience gathering requirements across wide-ranging product More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

understanding and experience with algorithmic trading, ideally in capacity of designing execution algorithms. Expertise in transaction cost analysis, and a good understanding of drivers of trading costs Experience with data analysis languages such as R or Python. Good understanding of data science. Excellent communication skills and ability to present complex technical ideas to clients Good relationship with the More ❯

I'm lookout for a Senior Software Developer who enjoys wrangling geospatial data, shaping technical direction, and mentoring junior devs without making them cry (ideally). You’ll be helping design, build, and scale systems that literally protect people and businesses from chaos. You won’t need to wear a cape—but if you have one, that’s fine … too.You’ll also be a key part of aligning tech wizardry with real-world results, working with data scientists, product folks, and the occasional confused stakeholder who doesn’t understand how time zones work.Responsibilities: Lead the design and development of complex features and systems. Bonus points for building things that still work after three updates and one pivot. Make … scribble on a whiteboard” to “live in production and surprisingly stable.” Mentor other engineers like a wise coding sensei (but with fewer riddles). Collaborate with product, operations, and data teams without resorting to interpretive dance. Refactor legacy code without crying. Or while crying—we don’t judge. Monitor systems like a hawk with a dashboard. Link engineering strategy More ❯

An exciting research and analytics company in London is looking for a Data Scientist to join the team on a contract basis. Location: London Office policy: 1 day per week in the office Contract length: 3 month's, with potential to go permanent Start date: 03/11/2025 Salary: £70,000-£75,000 (pro rata for FTC … The Job Analyse app, web, and in-home data to measure campaign effectiveness at impression and outcome level. Lead on brand lift measurement, showing how advertising works and refining the signals that prove campaign impact. Apply regression analysis, MMM techniques and work with AI/LLMs where relevant. Collaborate closely with engineering and product teams to integrate data … systems. Translate insights into clear, actionable recommendations for ad tech clients and internal stakeholders. Present findings to non-technical stakeholders, focusing on outcome metrics and campaign improvement. You Experienced Data Scientist with a background in fraud, methodology, and campaign/brand measurement. Strong technical skills across Python, regression modelling and MMM. Confident working with large datasets and combining app More ❯

grade code—and knows how to work where performance meets precision. What You'll Work On: Architect tools and infrastructure for quantitative research and trading strategy development. Build robust data pipelines ingesting terabytes of market and alt data with sub-second latency Design elegant APIs to connect researchers, trading systems, and execution engines Automate everything: backtesting, model deployment … a high-performance, production-grade setting. Strong fundamentals in software engineering: testing, version control, CI/CD, clean architecture Passion for building internal tools, research frameworks, or working on data-heavy systems Bonus: Exposure to pandas, NumPy, asyncio, Cython, or PyArrow. Familiarity with C++ is a plus Bonus++: Experience working with quants, data scientists, or in trading environments More ❯

why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to … We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and … Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g. More ❯

from the ground up, focusing on confidentiality and secure architecture. This role will also support integration efforts with platforms such as Filament and AI databases, enabling seamless collaboration and data access across systems. Key Responsibilities: - Design and build a new SharePoint site from scratch for document management and AI training content. - Develop custom workflows, libraries, and metadata structures to … Copilot APIs. - Implement intelligent indexing and retrieval mechanisms to support AI-driven search and insights. - Ensure robust security, access control, and compliance across all SharePoint content. - Collaborate with data scientists and AI engineers to enable seamless data exchange and training workflows. - Provide technical support, documentation, and training to internal teams. - Monitor site performance, conduct regular maintenance, and apply More ❯

s entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … labs, EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives at … Passion for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world’s largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

s entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … labs, EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives at … Passion for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world’s largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

s entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … labs, EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives at … Passion for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world’s largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

s entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … labs, EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives at … Passion for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world’s largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

s entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … labs, EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives at … Passion for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world's largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs), Large More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs), Large More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs), Large More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs), Large More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs), Large More ❯

Scientist II to play a key part in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research … in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at More ❯

Scientist II to play a key part in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research … in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at More ❯

screenings, coordinate interviews, and assess candidates' technical skills and cultural fit. Employer Branding: Promote RedCloud's employer brand through participation in industry events, networking opportunities, and creative outreach initiatives. Data-Driven Approach: Track and analyse recruitment metrics to continuously improve our processes and make informed hiring decisions. Diversity and Inclusion: Ensure that our recruitment practices support our commitment to … environment. Skills Strong ability to source and engage with top technical talent across various channels. Deep understanding of technical roles and the specific skills required (e.g., software engineers, DevOps, data scientists). Excellent communication and interpersonal skills, with the ability to build strong relationships with candidates and stakeholders. Proven ability to manage multiple roles and priorities simultaneously in a More ❯

values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. As a Director, Product Management Consumer Products at Publicis … ability to prioritize multiple demands and obtain buy-in from stakeholders • Practice in workshop facilitation to cultivate ideation • Ability to define financials, ROI, KPIs, and forecasts, with success leveraging data to make decisions about product feature increments • Proven track record of working with senior client stakeholder and diverse teams as a servant leader and steward of economic and customer More ❯