DeepMind in London, UK, is seeking a Research Scientist (Post-Training) or Research Engineer to push the frontier of agentic tasks in post-training LLMs. You will design scalable experiments and build infrastructure for tool use and RL in Gemini post-training. You will lead from hypothesis to impact, collaborate with researchers and engineers, and communicate results through clear plots and reports.
Sep 06, 2026
Full time
DeepMind in London, UK, is seeking a Research Scientist (Post-Training) or Research Engineer to push the frontier of agentic tasks in post-training LLMs. You will design scalable experiments and build infrastructure for tool use and RL in Gemini post-training. You will lead from hypothesis to impact, collaborate with researchers and engineers, and communicate results through clear plots and reports.
# Research Scientist, Agent Post-Trainingat DeepMind • London, UKBack to jobs1. Home2. Jobs3. UK4. Research Scientist, Agent Post-Training5h agoD Research Scientist, Agent Post-TrainingDeepMind00ResearchFull-timeLondon, UKApply Job Job DescriptionAt Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. In this role, you will push the frontier of agentic tasks in post-training large language models as a Research Scientist or Research Engineer (we are open to both). As part of the Gemini post-training team, you will have the chance to drive the research that makes up the backbone of upcoming releases. You will help bridge research and engineering by designing scalable experiments and building reliable infrastructure for tool use and reinforcement learning. You will value various experience and backgrounds to create extraordinary impact.Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.ResponsibilitiesLead the full research process, from forming hypotheses to delivering direct impact in Gemini post-training.Design effective ablations to systematically validate and iterate on research ideas.Communicate research findings and experimental results through clear plots and reports.Develop reliable infrastructure and utilities to support post-training research and evaluations.Collaborate with other researchers and engineers to accelerate project velocity. Skills Required reinforcement learning (RL) supervised fine-tuning (SFT) agent-based systems JAX Flax TensorFlow PyTorch systems design Tags:UKLondonShare Job:Application planning What to evaluate before applying Visa and relocation signals Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. Primary route to review: Skilled Worker Visa. Salary and location checks No salary range is disclosed on this listing. Location to plan around: London, United Kingdom. This role is not marked as remote. Company context DeepMind has active SoftwareCareers listings in the current job inventory. Use the company profile and apply link to verify the opening.DeepMind profile Interview preparation Experience signal: Minimum qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, a related quantitative field, or equivalent practical experience. 2 years of experience with reinforcement learning (RL), supervised fine-tuning (SFT), or agent-based systems, including modeling or applied infrastructure. 2 years of experience with machine learning frameworks such as JAX, Flax, TensorFlow, or PyTorch, and scaling experiments. Preferred qualifications: PhD in Computer Science, Machine Learning, or a related quantitative field. Publications in reinforcement learning (RL), tool-use, or agentic systems, or applied projects demonstrating infrastructure for agentic setups. Experience balancing research velocity and code quality, including managing technical debt. Ability to investigate complex technical issues and develop high-standard scientific artifacts. Preference for simple, elegant solutions to research problems. Experience with systems design and managing code complexity in large codebases Prepare examples for: reinforcement learning (RL), supervised fine-tuning (SFT), agent-based systems, JAX, Flax. Compare similar roles before applying.
Sep 06, 2026
Full time
# Research Scientist, Agent Post-Trainingat DeepMind • London, UKBack to jobs1. Home2. Jobs3. UK4. Research Scientist, Agent Post-Training5h agoD Research Scientist, Agent Post-TrainingDeepMind00ResearchFull-timeLondon, UKApply Job Job DescriptionAt Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. In this role, you will push the frontier of agentic tasks in post-training large language models as a Research Scientist or Research Engineer (we are open to both). As part of the Gemini post-training team, you will have the chance to drive the research that makes up the backbone of upcoming releases. You will help bridge research and engineering by designing scalable experiments and building reliable infrastructure for tool use and reinforcement learning. You will value various experience and backgrounds to create extraordinary impact.Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.ResponsibilitiesLead the full research process, from forming hypotheses to delivering direct impact in Gemini post-training.Design effective ablations to systematically validate and iterate on research ideas.Communicate research findings and experimental results through clear plots and reports.Develop reliable infrastructure and utilities to support post-training research and evaluations.Collaborate with other researchers and engineers to accelerate project velocity. Skills Required reinforcement learning (RL) supervised fine-tuning (SFT) agent-based systems JAX Flax TensorFlow PyTorch systems design Tags:UKLondonShare Job:Application planning What to evaluate before applying Visa and relocation signals Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. Primary route to review: Skilled Worker Visa. Salary and location checks No salary range is disclosed on this listing. Location to plan around: London, United Kingdom. This role is not marked as remote. Company context DeepMind has active SoftwareCareers listings in the current job inventory. Use the company profile and apply link to verify the opening.DeepMind profile Interview preparation Experience signal: Minimum qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, a related quantitative field, or equivalent practical experience. 2 years of experience with reinforcement learning (RL), supervised fine-tuning (SFT), or agent-based systems, including modeling or applied infrastructure. 2 years of experience with machine learning frameworks such as JAX, Flax, TensorFlow, or PyTorch, and scaling experiments. Preferred qualifications: PhD in Computer Science, Machine Learning, or a related quantitative field. Publications in reinforcement learning (RL), tool-use, or agentic systems, or applied projects demonstrating infrastructure for agentic setups. Experience balancing research velocity and code quality, including managing technical debt. Ability to investigate complex technical issues and develop high-standard scientific artifacts. Preference for simple, elegant solutions to research problems. Experience with systems design and managing code complexity in large codebases Prepare examples for: reinforcement learning (RL), supervised fine-tuning (SFT), agent-based systems, JAX, Flax. Compare similar roles before applying.
Chainalysis in London is seeking a Senior Intelligence Analyst to deepen attribution for the most complex crypto-ecosystem components, designing AI-enabled automation to scale outputs. You will set analytic standards, shape data collection, and mentor analysts across a globally distributed team. You will contribute analyses feeding products and customers, while advancing Chainalysis certifications. You should bring elite aptitude, 5+ years in analytics, strong writing and communication, and
Sep 06, 2026
Full time
Chainalysis in London is seeking a Senior Intelligence Analyst to deepen attribution for the most complex crypto-ecosystem components, designing AI-enabled automation to scale outputs. You will set analytic standards, shape data collection, and mentor analysts across a globally distributed team. You will contribute analyses feeding products and customers, while advancing Chainalysis certifications. You should bring elite aptitude, 5+ years in analytics, strong writing and communication, and
# Senior Intelligence Analystat Chainalysis • London, United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Senior Intelligence Analyst4h agoC Senior Intelligence AnalystChainalysis31Intelligence AnalysisFull-timeLondon, United Kingdom Visa RelocationApply Job Job DescriptionThe R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.Chainalysis data has helped solve some of the world's highest-profile criminal cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data - connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It's the intelligence data moat beneath every Chainalysis product, and what investigators and law enforcement rely on to follow the money and disrupt crime.As a Senior Intelligence Analyst, you'll deepen it at its hardest edges and act as a force multiplier for the team. You'll collect, analyze, and produce intelligence across the crypto-services ecosystem - but your real leverage is scale: you'll design the AI and automation that multiply the whole team's output, set the analytic standard, shape what we collect, and level up the analysts around you.Who you'll work withYou'll join a fast-moving, globally distributed team of analysts collaborating across time zones - async and in real time. We move fast, hold each other to a high bar, and back each other up across regions - and as a senior member, you'll help set that bar.In this role, you'll:- Own attribution for the most complex, high-stakes parts of the ecosystem, and set the standard for how it's done.- Design and lead the AI/automation that scales attribution across the team.- Shape collection strategy - what data we need and how we get it.- Mentor analysts and raise the team's tradecraft.- Contribute analyses and insights that feed our products and customers.- Become a certified cryptocurrency professional across all Chainalysis certifications.We're looking for candidates who have:- Elite potential and a proven track record - exceptional aptitude, judgment, and work ethic. This is a demanding, high-bar role, and you raise everyone around you.- 5+ years of strong analytic or investigative work, including leading hard problems end to end.- Strong research instincts and analytic rigor.- Initiative - you set the agenda: you see what the team should be working on and drive it.- Adaptability - comfortable with ambiguity and energized by a fast-moving space; the threats, the tech, and our tooling are always evolving.- AI-forward instincts - you build automation to scale your work and others'.- Comfort working with data; blockchain forensics experience a plus.- Excellent writing and communication.AI at ChainalysisAI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.About ChainalysisChainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.You belong here.At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here We can't wait to meet you. Skills Required analytical skills investigative skills AI/automation data analysis cryptocurrency forensics writing communication
Sep 06, 2026
Full time
# Senior Intelligence Analystat Chainalysis • London, United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Senior Intelligence Analyst4h agoC Senior Intelligence AnalystChainalysis31Intelligence AnalysisFull-timeLondon, United Kingdom Visa RelocationApply Job Job DescriptionThe R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.Chainalysis data has helped solve some of the world's highest-profile criminal cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data - connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It's the intelligence data moat beneath every Chainalysis product, and what investigators and law enforcement rely on to follow the money and disrupt crime.As a Senior Intelligence Analyst, you'll deepen it at its hardest edges and act as a force multiplier for the team. You'll collect, analyze, and produce intelligence across the crypto-services ecosystem - but your real leverage is scale: you'll design the AI and automation that multiply the whole team's output, set the analytic standard, shape what we collect, and level up the analysts around you.Who you'll work withYou'll join a fast-moving, globally distributed team of analysts collaborating across time zones - async and in real time. We move fast, hold each other to a high bar, and back each other up across regions - and as a senior member, you'll help set that bar.In this role, you'll:- Own attribution for the most complex, high-stakes parts of the ecosystem, and set the standard for how it's done.- Design and lead the AI/automation that scales attribution across the team.- Shape collection strategy - what data we need and how we get it.- Mentor analysts and raise the team's tradecraft.- Contribute analyses and insights that feed our products and customers.- Become a certified cryptocurrency professional across all Chainalysis certifications.We're looking for candidates who have:- Elite potential and a proven track record - exceptional aptitude, judgment, and work ethic. This is a demanding, high-bar role, and you raise everyone around you.- 5+ years of strong analytic or investigative work, including leading hard problems end to end.- Strong research instincts and analytic rigor.- Initiative - you set the agenda: you see what the team should be working on and drive it.- Adaptability - comfortable with ambiguity and energized by a fast-moving space; the threats, the tech, and our tooling are always evolving.- AI-forward instincts - you build automation to scale your work and others'.- Comfort working with data; blockchain forensics experience a plus.- Excellent writing and communication.AI at ChainalysisAI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.About ChainalysisChainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.You belong here.At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here We can't wait to meet you. Skills Required analytical skills investigative skills AI/automation data analysis cryptocurrency forensics writing communication
Research Scientist, Strategic Bets, DeepMind at Google in London, UK - confirm sponsorship on the employer application page. Sponsorship status varies - check the employer application page before applying. Browse more roles in United Kingdom via the country jobs hub. Research Scientist, Strategic Bets, DeepMind The Strategic Bets team at Google DeepMind focuses on high-impact, long-term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. Primary route to review: Skilled Worker Visa. Salary and location checks No salary range is disclosed on this listing. Location to plan around: London, United Kingdom. This role is not marked as remote. Company context Google has active SoftwareCareers listings in the current job inventory. Use the company profile and apply link to verify the opening. Experience signal: Advanced degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research Experience Advanced degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence. Location London, UK Get email alerts for similar United Kingdom roles. Resume tip Tailor your resume for Research roles Practice for United Kingdom tech interviews Warm up with role-specific questions before you talk to the hiring manager. Master these skills to level up your career as a Software Engineer.
Aug 30, 2026
Full time
Research Scientist, Strategic Bets, DeepMind at Google in London, UK - confirm sponsorship on the employer application page. Sponsorship status varies - check the employer application page before applying. Browse more roles in United Kingdom via the country jobs hub. Research Scientist, Strategic Bets, DeepMind The Strategic Bets team at Google DeepMind focuses on high-impact, long-term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. Primary route to review: Skilled Worker Visa. Salary and location checks No salary range is disclosed on this listing. Location to plan around: London, United Kingdom. This role is not marked as remote. Company context Google has active SoftwareCareers listings in the current job inventory. Use the company profile and apply link to verify the opening. Experience signal: Advanced degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research Experience Advanced degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence. Location London, UK Get email alerts for similar United Kingdom roles. Resume tip Tailor your resume for Research roles Practice for United Kingdom tech interviews Warm up with role-specific questions before you talk to the hiring manager. Master these skills to level up your career as a Software Engineer.
# Business Strategy Developer - Internationalat Elastic • United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Business Strategy Developer - International3h agoE Business Strategy Developer - InternationalElastic10EngineeringFull-timeUnited Kingdom Visa RelocationApply Job Job DescriptionElastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.What is The RoleAt Elastic, we move fast - and we're looking for someone who can help us move smarter. As a Business Development Consultant for Elastic International, you'll work at the intersection of strategy and execution, partnering with senior leaders to shape how we grow across our international markets. You will help turn complex business challenges into clear plans with measurable outcomes.What You Will Be DoingShape strategy that sticks. Partner directly with executives to design short- and long-term business plans, refine business models, and develop go-to-market strategies that are grounded in data and built to scale.Connect the dots across the business. Collaborate with cross-functional teams - from Sales and Marketing to Product and Finance - to align goals, remove friction, and drive strategic initiatives from concept to execution.Make the numbers talk. Conduct financial analyses, business valuations, and profitability assessments that turn strategy into something we can actually fund, build, and defend.Define what success looks like. Establish KPIs that give us an honest read on progress, and have the judgment to recommend pivots when the data calls for it.Drive growth. Develop and implement initiatives that tangibly move the needle on revenue and operational efficiency - not just slides, but outcomes.What You Bring2-5 years of experience in a consulting firm or a SaaS corporate sales strategy function - you know how to structure ambiguous problems and communicate findings to senior stakeholdersStrong quantitative and financial modelling skills - you're comfortable in a spreadsheet and can tell a story with dataStrategic clarity and the ability to operate at both the 30,000-foot level and in the weeds when neededA solid grasp of the technology market - you understand enterprise software, SaaS dynamics, and what drives growth in this spaceYou don't need to have all the answers yet - curiosity and drive matter as much as experience hereAn MBA or equivalent advanced degree from a top business school is a plus, but your thinking matters more than your pedigreeAdditional Information - We Take Care of Our PeopleAs a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.Competitive pay based on the work you do here and not your previous salaryHealth coverage for you and your family in many locationsAbility to craft your calendar with flexible locations and schedules for many rolesGenerous number of vacation days each yearIncrease your impact - We match up to $2000 (or local currency equivalent) for financial donations and serviceUp to 40 hours each year to use toward volunteer projects you loveEmbracing parenthood with minimum of 16 weeks of parental leaveDifferent people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate\ . We will reply to your request within 24 business hours of submission.Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.Please see here for our Privacy Statement.
Aug 27, 2026
Full time
# Business Strategy Developer - Internationalat Elastic • United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Business Strategy Developer - International3h agoE Business Strategy Developer - InternationalElastic10EngineeringFull-timeUnited Kingdom Visa RelocationApply Job Job DescriptionElastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.What is The RoleAt Elastic, we move fast - and we're looking for someone who can help us move smarter. As a Business Development Consultant for Elastic International, you'll work at the intersection of strategy and execution, partnering with senior leaders to shape how we grow across our international markets. You will help turn complex business challenges into clear plans with measurable outcomes.What You Will Be DoingShape strategy that sticks. Partner directly with executives to design short- and long-term business plans, refine business models, and develop go-to-market strategies that are grounded in data and built to scale.Connect the dots across the business. Collaborate with cross-functional teams - from Sales and Marketing to Product and Finance - to align goals, remove friction, and drive strategic initiatives from concept to execution.Make the numbers talk. Conduct financial analyses, business valuations, and profitability assessments that turn strategy into something we can actually fund, build, and defend.Define what success looks like. Establish KPIs that give us an honest read on progress, and have the judgment to recommend pivots when the data calls for it.Drive growth. Develop and implement initiatives that tangibly move the needle on revenue and operational efficiency - not just slides, but outcomes.What You Bring2-5 years of experience in a consulting firm or a SaaS corporate sales strategy function - you know how to structure ambiguous problems and communicate findings to senior stakeholdersStrong quantitative and financial modelling skills - you're comfortable in a spreadsheet and can tell a story with dataStrategic clarity and the ability to operate at both the 30,000-foot level and in the weeds when neededA solid grasp of the technology market - you understand enterprise software, SaaS dynamics, and what drives growth in this spaceYou don't need to have all the answers yet - curiosity and drive matter as much as experience hereAn MBA or equivalent advanced degree from a top business school is a plus, but your thinking matters more than your pedigreeAdditional Information - We Take Care of Our PeopleAs a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.Competitive pay based on the work you do here and not your previous salaryHealth coverage for you and your family in many locationsAbility to craft your calendar with flexible locations and schedules for many rolesGenerous number of vacation days each yearIncrease your impact - We match up to $2000 (or local currency equivalent) for financial donations and serviceUp to 40 hours each year to use toward volunteer projects you loveEmbracing parenthood with minimum of 16 weeks of parental leaveDifferent people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate\ . We will reply to your request within 24 business hours of submission.Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.Please see here for our Privacy Statement.
# Data Science Manager - Delivery Teamat Deliveroo • London - The River Building HQBack to jobs1. Home2. Jobs3. United Kingdom4. Data Science Manager - Delivery Team-D Data Science Manager - Delivery TeamDeliveroo20Science & AnalyticsFull-timeLondon - The River Building HQApply Job Job DescriptionJoin Deliveroo's Data Science organisation, which powers decision-making across product, commercial and operational teams through experimentation, causal inference, and applied machine learning. We are hiring a Data Science Manager to join our Delivery team, responsible for ensuring optimal rider supply to meet consumer demand locally, while maintaining speed, reliability, and network efficiency. You will lead a team focusing on areas like rider pay, incentives, supply and demand, load management, and network economics. This role is highly specific to Deliveroo's marketplace and requires balancing multiple interconnected outcomes across riders, consumers, and the wider delivery network. This London-based role involves reporting to a Senior Data Science Manager and partnering closely with Operations, Product, Machine Learning, and Engineering teams. You'll own the analytical direction and impact within Delivery, leading and developing a team of 4-6 data scientists. Your team will work across critical areas such as rider pay, incentives and surge pricing, rider supply and fleet sizing, balancing supply and consumer demand, load management, and understanding rider behaviour. You will identify high-value problems, guide analytical approaches, and ensure work leads to clear operational, product, and commercial decisions. Applying systems thinking is key, as changes can have network-wide effects, requiring you to support informed trade-offs. This is a hands-on management role with a significant portion of time dedicated to direct technical contribution, such as investigating market changes and interpreting experiments. You will maintain high analytical standards and support team development through coaching and feedback.Delivery is central to Deliveroo's customer proposition, directly impacting rider supply, order speed, and marketplace efficiency. In this role, you will tackle distinctive and highly interconnected problems in network economics, logistics, and rider operations. You will have substantial autonomy to shape the team's roadmap, influence senior stakeholders, and develop a strong data science team. You will apply experimentation, causal inference, and systems thinking to decisions affecting Deliveroo's growth, service quality, and network efficiency. We seek someone comfortable with ambiguity, capable of creating structure, and aligning teams around crucial problems. Skills Required Experimentation Causal Inference Stakeholder Management Systems Thinking Line Management Data Science Analytical Problem Solving Roadmap Shaping Delegation Coaching Feedback
Aug 26, 2026
Full time
# Data Science Manager - Delivery Teamat Deliveroo • London - The River Building HQBack to jobs1. Home2. Jobs3. United Kingdom4. Data Science Manager - Delivery Team-D Data Science Manager - Delivery TeamDeliveroo20Science & AnalyticsFull-timeLondon - The River Building HQApply Job Job DescriptionJoin Deliveroo's Data Science organisation, which powers decision-making across product, commercial and operational teams through experimentation, causal inference, and applied machine learning. We are hiring a Data Science Manager to join our Delivery team, responsible for ensuring optimal rider supply to meet consumer demand locally, while maintaining speed, reliability, and network efficiency. You will lead a team focusing on areas like rider pay, incentives, supply and demand, load management, and network economics. This role is highly specific to Deliveroo's marketplace and requires balancing multiple interconnected outcomes across riders, consumers, and the wider delivery network. This London-based role involves reporting to a Senior Data Science Manager and partnering closely with Operations, Product, Machine Learning, and Engineering teams. You'll own the analytical direction and impact within Delivery, leading and developing a team of 4-6 data scientists. Your team will work across critical areas such as rider pay, incentives and surge pricing, rider supply and fleet sizing, balancing supply and consumer demand, load management, and understanding rider behaviour. You will identify high-value problems, guide analytical approaches, and ensure work leads to clear operational, product, and commercial decisions. Applying systems thinking is key, as changes can have network-wide effects, requiring you to support informed trade-offs. This is a hands-on management role with a significant portion of time dedicated to direct technical contribution, such as investigating market changes and interpreting experiments. You will maintain high analytical standards and support team development through coaching and feedback.Delivery is central to Deliveroo's customer proposition, directly impacting rider supply, order speed, and marketplace efficiency. In this role, you will tackle distinctive and highly interconnected problems in network economics, logistics, and rider operations. You will have substantial autonomy to shape the team's roadmap, influence senior stakeholders, and develop a strong data science team. You will apply experimentation, causal inference, and systems thinking to decisions affecting Deliveroo's growth, service quality, and network efficiency. We seek someone comfortable with ambiguity, capable of creating structure, and aligning teams around crucial problems. Skills Required Experimentation Causal Inference Stakeholder Management Systems Thinking Line Management Data Science Analytical Problem Solving Roadmap Shaping Delegation Coaching Feedback
Deliveroo is seeking a Data Science Manager for the Delivery team in London to lead analytics driving rider supply, speed, reliability, and network efficiency. You will own the analytical direction and oversee a team of 4-6 data scientists, balancing rider pay, incentives, and demand with impact across the marketplace. The role reports to a Senior Data Science Manager and partners with Operations, Product, Machine Learning and Engineering to deliver measurable decisions and improvements.
Aug 26, 2026
Full time
Deliveroo is seeking a Data Science Manager for the Delivery team in London to lead analytics driving rider supply, speed, reliability, and network efficiency. You will own the analytical direction and oversee a team of 4-6 data scientists, balancing rider pay, incentives, and demand with impact across the marketplace. The role reports to a Senior Data Science Manager and partners with Operations, Product, Machine Learning and Engineering to deliver measurable decisions and improvements.
DeepMind in London is seeking a Research Scientist in Robotics to advance foundational models and real-world robot applications. You will design, implement and evaluate large models for robotic agents, while collaborating across teams and contributing to open research. This role emphasizes scalable ML, reinforcement learning, and real-world robot integration. You will work with state-of-the-art robotics platforms, prototype applications, and cutting-edge datasets to push the boundaries of AI
Aug 21, 2026
Full time
DeepMind in London is seeking a Research Scientist in Robotics to advance foundational models and real-world robot applications. You will design, implement and evaluate large models for robotic agents, while collaborating across teams and contributing to open research. This role emphasizes scalable ML, reinforcement learning, and real-world robot integration. You will work with state-of-the-art robotics platforms, prototype applications, and cutting-edge datasets to push the boundaries of AI
# Research Scientist, Robotics, DeepMindat DeepMind • London, UKBack to jobs1. Home2. Jobs3. UK4. Research Scientist, Robotics, DeepMind-D Research Scientist, Robotics, DeepMindDeepMind20Research ScientistFull-timeLondon, UKApply Job Job DescriptionAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. We are looking for creative thinkers with strong algorithm-design and programming skills that want to build the next generation of AI agents for and grounded in the physical world. In this role, you will work in collaborative teams to invent algorithms and innovate on large foundation models such as Gemini Robotics. You will design prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots /robot simulation and training setups are valued. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities. Write software to implement research ideas and iterate quickly. Work effectively with a large collaborative team with changing agendas to meet ambitious research goals. Develop methodologies and design and conduct experiments for incorporating scalable data sources, especially human data with or without capture devices into our robotics foundation models. Leverage your broader expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more. Skills Required reinforcement learning imitation learning multimodal generative modeling training and inference vision models vision-language models video multimodal models simulators real-world robots dexterous manipulation multimodal sensing tactile sensing force sensing system implementation large real world data capture methodologies dataset design experimentation human action data vision-language-actions (VLAs) whole-arm manipulators (WAMs) algorithm design programming AI agents Gemini Robotics prototype applications robot simulation scalable machine learning multimodal foundation models robotics foundation models learning from simulation learning from demonstrations transformers video generation robot control humanoid robots machine learning deep learning data mining natural language processing hardware performance analysis software performance analysis compilers core search
Aug 21, 2026
Full time
# Research Scientist, Robotics, DeepMindat DeepMind • London, UKBack to jobs1. Home2. Jobs3. UK4. Research Scientist, Robotics, DeepMind-D Research Scientist, Robotics, DeepMindDeepMind20Research ScientistFull-timeLondon, UKApply Job Job DescriptionAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. We are looking for creative thinkers with strong algorithm-design and programming skills that want to build the next generation of AI agents for and grounded in the physical world. In this role, you will work in collaborative teams to invent algorithms and innovate on large foundation models such as Gemini Robotics. You will design prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots /robot simulation and training setups are valued. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities. Write software to implement research ideas and iterate quickly. Work effectively with a large collaborative team with changing agendas to meet ambitious research goals. Develop methodologies and design and conduct experiments for incorporating scalable data sources, especially human data with or without capture devices into our robotics foundation models. Leverage your broader expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more. Skills Required reinforcement learning imitation learning multimodal generative modeling training and inference vision models vision-language models video multimodal models simulators real-world robots dexterous manipulation multimodal sensing tactile sensing force sensing system implementation large real world data capture methodologies dataset design experimentation human action data vision-language-actions (VLAs) whole-arm manipulators (WAMs) algorithm design programming AI agents Gemini Robotics prototype applications robot simulation scalable machine learning multimodal foundation models robotics foundation models learning from simulation learning from demonstrations transformers video generation robot control humanoid robots machine learning deep learning data mining natural language processing hardware performance analysis software performance analysis compilers core search