Machine Learning Research Scientist in London

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit. Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains. You might thrive in this role if you: Significant experience recruitin

About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability. Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often don’t work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure. We’re loo

Reporting to the VP, Product for Diligent Market Intelligence, you will lead the strategy, roadmap and evolution of Stewardship Intelligence—one of DMI’s core data products. Stewardship Intelligence provides meeting , executive compensation, corporate governance and proxy-voting intelligence to institutional asset managers, stewardship and governance professionals, compensation advisers and consultants, and corporate issuers . You will lead both Product Management and Research. This is a domain-led role: substantial experience in stewardship, proxy voting, corporate governance, executive compensation, investor relations or a closely related capital- markets domain is required . You will translate customer and market needs into clear product priorities, improve how research is performed at scale, and ensure that Stewardship Intelligence remains trusted, timely and valuable to its users. Here’s a breakdown of what you’ll do Own and continuously refine the product vision, strategy, roadmap and prioritisation for the Stewardship Intelligence portfolio, covering meeting , executive compensation, corporate governance and proxy-voting intelligence. Lead, develop and organise the Product Management and Research teams, establishing clear priorities, effective ways of working (with an emphasis on AI integration where possible), strong collaboration and a culture of accountability and continuous improvement. Be responsible for improving dataset coverage, methodology , quality, traceability and timeliness, using appropriate process redesign, automation and AI-enabled approaches without compromising accuracy or trust. Partner closely with Engineering and UX to define, build and launch high-quality product experiences and Data-as-a-Service capabilities that make

We're looking for a Senior Business Development Representative to join us in a high-impact commercial role at the forefront of Voice AI. You’ll play a critical part in driving pipeline growth across enterprise and mid-market accounts, working with a genuinely differentiated API product used by technical buyers globally. You’ll operate in a fast-scaling environment, partnering closely with account executives and engaging with senior stakeholders. This role is ideal for someone who combines strong sales instincts with a structured, data-driven approach and is motivated to grow within one of the most exciting and rapidly evolving areas of the tech industry. What you’ll be doing: Building and managing pipeline across a defined territory Identifying and targeting enterprise and mid-market accounts Conducting outbound prospecting using multi-channel approaches (email, phone, LinkedIn) Qualifying inbound and outbound leads to create high-quality opportunities Partnering closely with Account Executives to progress and convert opportunities Tailoring messaging to both technical and commercial stakeholders Using tools like Salesforce, sequencing platforms, and LinkedIn Sales Navigator to manage activity and performance Leveraging AI tools to research accounts and personalise outreach Who we are looking for: Demonstrated success hitting or exceeding targets, with clear evidence of performance and impact Brings a methodical, organised approach to territory management and pipeline building Able to confidently engage both technical buyers (e.g. CTOs) and business leaders with tailored messaging Comfortable selling complex or intangible products such as APIs, platforms, or developer tools Ambitious, coachable, and motivated to develop into more senior commercial roles as the company scales We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for,

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between E

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Machine Learning Engineer on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! As a Machine Learning Engineer (Applied ML), you will: Plan and execute large-group projects that carry through from ideation to production. Bring cross-functional alignment across engineering, product and other disciplines. Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on. Work closely with product teams to develop solutions. Engage in collaborations with our partner organizations. Assist our legal teams with preparation of patents on developed IP. Join us at a pivotal moment, shape what we build and wear multiple hats! You may be a good fit if y

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate a Senior Manager to lead and develop our Game Security team. In this dynamic role you’ll be committed to ensuring our games and services remain secure and enjoyable by protecting against cheaters, vulnerabilities, and exploits. You’ll be responsible for designing and implementing processes to continuously strengthen our game security programme, mitigating threats to the player experience while evolving the efficacy of our enforcement and operations teams. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of London. WHAT WE DO The Game Security team is responsible for protecting our players, our games, and intellectual property from malicious actors. We work across multiple disciplines to detect, deter, and disrupt threats impacting the player experience. We work closely with other teams to enforce, support, and improve security solutions. RESPONSIBILITIES Leverage extensive subject matter expertise to develop and support anti-cheat initiatives and protect the integrity of our live service titles. Lead, mentor, and manage a talented and cross functional team engaged in day-to-day anti-cheat operations for our online titles. Set team priorities, allocate resources effectively, and plan for future growth to meet organisational objectives. Establish and standardise operational processes, tools, and best practices. Contribute to the development and monitoring of key risk and performance indicators in partnership with our analytics and i

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Product Architect Mastercard powers economies and empowers people in more than 200 countries and territories worldwide. Together with our customers, we are building a sustainable economy where everyone can prosper. Through secure, simple and accessible digital payments, our technology, partnerships and networks help people, businesses and governments reach their full potential. A2A Risk Solutions: Principal Product Architect We are seeking a Principal Product Architect to join our award-winning Account-to-Account (A2A) Risk Solutions team. Our products combine advanced data science and payments expertise to help financial institutions combat fraud and financial crime. This role will be central to designing and scaling Mastercard's global A2A Risk Solutions. Working closely with product, engineering, data science, customers, financial institutions and technology partners, you will define scalable architecture patterns, shape technology strategy and support expansion into new markets. Responsibilities Define and maintain solution architectures that align with business objectives, product requirements and architectural principles. Translate business, customer and market requirements into scalable, secure and resilient technical designs. Lead architecture for A2A fraud and f

Position Overview: We are seeking a strategic, data-driven leader with a deep understanding of sales processes, marketing strategies, and customer success to join the GTM Operations team. The Manager of GTM Operations (EMEA/APAC) is a critical, strategic partner to the VP of Sales in EMEA and APAC. You will foster collaboration and alignment among the entire commercial organization including Sales, Customer Success, Marketing, and Partnerships. The ideal candidate will have a proven track record of building scalable processes and leveraging AI to drive sustained revenue growth. Strong analytical and strategic planning capabilities are essential. Key Responsibilities: Commercial Strategy and Growth Partner with the Sales and Finance to develop and operationalize a commercial growth strategy, ensuring alignment between pipeline and bookings targets, capacity, headcount and budgets Translate complex data into actionable recommendations for Commercial leaders Develop and maintain segmentation models and sales coverage strategies that align to growth objectives, drive focus, and optimize rep productivity Forecasting & Pipeline Management Drive and evolve the sales forecasting framework, implementing a disciplined, data-driven forecast cadence across all theatres and segments Utilize Salesforce, GTM tools and data sets (snowflake) to drive predictability, pipeline conversion, stage hygiene, and deal inspection processes. Leverage AI and machine learning capabilities within the existing data stack (e.g., Snowflake, Salesforce) to enhance forecast accuracy, surface pipeline risk earlier, and automate routine reporting Deliver consistent r

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. As a Member of Technical Staff, you will: Design and write high-performant and scalable software for training. Understand a

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP Media, as part of WPP ET, is undergoing a significant transformation, modernising our ways of working, adopting cloud-native architectures, and prioritising AI and data-driven insights. This role is crucial for infusing AI-first thinking at every level. You will bridge the gap between high-level business strategy and hands-on technological exploration, acting as a catalyst for innovation. We need someone who can work closely with our teams to discover, design, and help deliver a truly reimagined future powered by AI, ensuring solutions align with our enterprise architectural principles and standards. Are you a hands-on technologist with a solid understanding of the media or advertising business, eager to explore and apply cutting-edge AI? This isn't a traditional Enterprise Architect role focused purely on mapping and integration. Instead, we're seeking an aspiring architect who thrives on discovery and practical application. You will be instrumental in exploring how emerging technologies, especially agentic AI, can fundamentally reimagine our business operati

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better, fairer, more trustworthy, and more secure Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole. Please Note: The existing team work in offices in London, Edinburgh, Pa

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful. Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Protection Scientist Engineer, Integrity team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms. You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role is based in our London office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material. In this role, you will: Scope and implement abuse monitoring requirements for new product launches. Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks. Prototype and mature into product