Zero100
What we do: Zero100 is a membership-based intelligence company that connects, informs, and inspires the world's most influential C-Level Operations & Supply Chain Officers - and their teams - to unlock the true potential of the AI and Digital Revolution. Our members use Zero100's research, advisory services, data, and peer community, to sharpen strategy, challenge assumptions, and accelerate progress on their most important transformation priorities from AI adoption and digitization to resilience and decarbonization. With a rapidly expanding headquarters in central London, Zero100's members include Nike, Walmart, Unilever, Pfizer, Google, Honeywell, and General Motors. Recent recognition: 2026 King's Award for Enterprise in the International Trade The Sunday Times Best Places to Work 2025 The Sunday Times 100 (), 2025 LinkedIn Top 25 Start-Ups (), 2025 What you will do: Note that this is a primarily office-based role ( 4 days per week). As a Senior AI Engineer at Zero100, you will play a central role in building and scaling the AI/ML and agentic systems that power our research, product, and member-facing teams. You'll be hands-on across the full stack: designing and operating data pipelines, building production-grade intelligent systems, and prototyping new approaches to enhance our capabilities. This is an end-to-end role where you'll own projects from ideation to production, working collaboratively with a senior engineering lead while having the autonomy to drive work forward independently. You'll partner closely with colleagues in research, product, membership, and revenue operations, thriving in an environment where you can balance engineering rigour with experimentation and help shape our technical foundations as we scale. Responsibilities: Design and build production-grade AI/ML and agentic systems, including agent orchestration, tool integration, and retrieval-augmented generation Develop and operate scalable, reliable data pipelines that serve both AI/ML systems and broader research and analytical needs across the organisation Collaborate with a senior engineering lead to architect and iterate on system designs, while taking ownership of implementation and delivery Build and maintain robust infrastructure with a focus on deployment, monitoring, and long-term maintainability Conduct exploratory prototyping of new AI/ML approaches to inform product direction and system design Work closely with research, product, and member-facing teams to understand data requirements and deliver clean, reusable data products Champion best practices around data architecture, governance (e.g., Unity Catalog), and performance tuning Contribute to engineering standards, documentation, and processes as the team scales Qualifications: 5 years of experience in data and ML engineering roles, ideally in startup or high-growth environments, with a track record of owning end-to-end projects Experience building production-grade data pipelines and AI/ML systems (primarily in Python and SQL) in cloud environments, with an emphasis on scalability, code clarity, and long-term maintainability Hands on experience with Databricks, Spark, especially Delta Lake, Unity Catalog, Mlflow. Experience working with Knowledge Graphs and building Graph Databases. Deep familiarity with cloud platforms, particularly AWS and Google Cloud Experience deploying and monitoring ML models in production, including CI/CD practices, containerization, and API development Ability to deploy Opensource LLMs on local hardware or cloud platforms Strong software engineering fundamentals: version control, testing, code review, and documentation A genuine interest in agentic AI systems and emerging LLM-based architectures and frameworks such as Langchain/Langgraph/Deepagents. Proven ability to manage production infrastructure and data architecture in a fast paced environment Strong communication skills and ability to work with stakeholders to understand needs and explain complex ideas clearly Comfortable with ambiguity and excited to help shape processes, standards, and infrastructure as we scale Benefits: Competitive salary and bonus scheme Unlimited holidays Private healthcare & Life Insurance Enhanced pension Enhanced Parental Leave Policy Custom designed offices in central London with free breakfasts & snacks Zero100 is an Equal Opportunity-Affirmative Action Employer, welcoming applications from individuals of all backgrounds. We embrace diversity and inclusion in our workplace.
What we do: Zero100 is a membership-based intelligence company that connects, informs, and inspires the world's most influential C-Level Operations & Supply Chain Officers - and their teams - to unlock the true potential of the AI and Digital Revolution. Our members use Zero100's research, advisory services, data, and peer community, to sharpen strategy, challenge assumptions, and accelerate progress on their most important transformation priorities from AI adoption and digitization to resilience and decarbonization. With a rapidly expanding headquarters in central London, Zero100's members include Nike, Walmart, Unilever, Pfizer, Google, Honeywell, and General Motors. Recent recognition: 2026 King's Award for Enterprise in the International Trade The Sunday Times Best Places to Work 2025 The Sunday Times 100 (), 2025 LinkedIn Top 25 Start-Ups (), 2025 What you will do: Note that this is a primarily office-based role ( 4 days per week). As a Senior AI Engineer at Zero100, you will play a central role in building and scaling the AI/ML and agentic systems that power our research, product, and member-facing teams. You'll be hands-on across the full stack: designing and operating data pipelines, building production-grade intelligent systems, and prototyping new approaches to enhance our capabilities. This is an end-to-end role where you'll own projects from ideation to production, working collaboratively with a senior engineering lead while having the autonomy to drive work forward independently. You'll partner closely with colleagues in research, product, membership, and revenue operations, thriving in an environment where you can balance engineering rigour with experimentation and help shape our technical foundations as we scale. Responsibilities: Design and build production-grade AI/ML and agentic systems, including agent orchestration, tool integration, and retrieval-augmented generation Develop and operate scalable, reliable data pipelines that serve both AI/ML systems and broader research and analytical needs across the organisation Collaborate with a senior engineering lead to architect and iterate on system designs, while taking ownership of implementation and delivery Build and maintain robust infrastructure with a focus on deployment, monitoring, and long-term maintainability Conduct exploratory prototyping of new AI/ML approaches to inform product direction and system design Work closely with research, product, and member-facing teams to understand data requirements and deliver clean, reusable data products Champion best practices around data architecture, governance (e.g., Unity Catalog), and performance tuning Contribute to engineering standards, documentation, and processes as the team scales Qualifications: 5 years of experience in data and ML engineering roles, ideally in startup or high-growth environments, with a track record of owning end-to-end projects Experience building production-grade data pipelines and AI/ML systems (primarily in Python and SQL) in cloud environments, with an emphasis on scalability, code clarity, and long-term maintainability Hands on experience with Databricks, Spark, especially Delta Lake, Unity Catalog, Mlflow. Experience working with Knowledge Graphs and building Graph Databases. Deep familiarity with cloud platforms, particularly AWS and Google Cloud Experience deploying and monitoring ML models in production, including CI/CD practices, containerization, and API development Ability to deploy Opensource LLMs on local hardware or cloud platforms Strong software engineering fundamentals: version control, testing, code review, and documentation A genuine interest in agentic AI systems and emerging LLM-based architectures and frameworks such as Langchain/Langgraph/Deepagents. Proven ability to manage production infrastructure and data architecture in a fast paced environment Strong communication skills and ability to work with stakeholders to understand needs and explain complex ideas clearly Comfortable with ambiguity and excited to help shape processes, standards, and infrastructure as we scale Benefits: Competitive salary and bonus scheme Unlimited holidays Private healthcare & Life Insurance Enhanced pension Enhanced Parental Leave Policy Custom designed offices in central London with free breakfasts & snacks Zero100 is an Equal Opportunity-Affirmative Action Employer, welcoming applications from individuals of all backgrounds. We embrace diversity and inclusion in our workplace.
Zero100
What we do: Zero100 is a membership-based intelligence company that connects, informs, and inspires the world's most influential C-Level Operations & Supply Chain Officers - and their teams - to unlock the true potential of the AI and Digital Revolution for the lasting benefit of business and our planet. Our members use Zero100's research and advisory services to shape their supply chain strategies, and they harness the power of our community to expand their thinking, challenge their assumptions, and accelerate progress on their most important digitization and decarbonization initiatives. With a rapidly expanding headquarters in central London, we're proud to be backed by leading investors and supported by an impressive list of founding members that includes Unilever, Google, The Estee Lauder Companies, Toyota and many others. What you will do: Note that this is a primarily office-based role ( 4 days per week). We are hiring a London-based Senior Analyst, Data & Insights to deliver high-quality, evidence-based analysis that helps the world's top operations and supply chain leaders make better decisions. Your work will directly inform the research, presentations, and advisory services we deliver to our members, translating complex datasets into clear, decision-oriented narratives for C-suite audiences. We're looking for someone with strong analytical fundamentals who has developed practical working habits with AI tools and understands where they genuinely improve analytical workflows - and where they don't. You should know what good analysis looks like well enough to recognize when AI-generated output is useful, when it needs refinement or validation, and when it shouldn't be relied upon. We're looking for someone who sees these tools as part of a rigorous analytical workflow, not a substitute for structured thinking, sound judgment, or domain understanding. The right candidate has experience translating data into insights for senior or executive stakeholders, not just building dashboards, but crafting narratives that drive decisions. A consulting-like mindset (comfort with ambiguity, structured thinking, ability to work across diverse problem spaces) is important. You're a strong collaborator who can partner effectively with researchers, understand what customers need, and deliver work that improves customer workflows. As you grow into the role, there will be meaningful opportunity to shape what we investigate, bring forward original insights, and engage directly with customers. Beyond the day job, we are looking for candidates who share our enthusiasm about the potential for Zero100 to have a positive impact on the supply chain profession and (more broadly) the planet. Responsibilities: Deliver data analysis in partnership with the Research team, producing visualizations and data points that feed into customer-facing deliverables (slides, reports, presentations). Transform complex datasets into clear, insight-driven narratives tailored for executive audiences. Scope data needs for new analyses, partnering with data engineering on pipeline work and leading on transformation, analysis, visualization, and storytelling. Ensure quality and integrity of all insights delivered, maintaining a high bar for accuracy and clarity. Synthesize across structured and unstructured sources - survey data, executive interview transcripts, operational datasets, and qualitative research notes - to develop insights that wouldn't surface from any single source alone. Leverage AI tools (including our internal LLM) to accelerate analysis, explore data, and push the boundaries of how insights are generated. Collaborate closely with research, design, and customer-facing teams to understand stakeholder needs and deliver work that exceeds expectations. Over time, identify opportunities to proactively surface new insights, propose new lines of inquiry, and contribute to the evolution of our data products. Requirements: 5-7 years of experience in data analysis, insights, or a related field, with demonstrated ability to translate data into narratives for senior/executive audiences. Strong analytical fundamentals: SQL required, Python preferred, comfort working in environments like Databricks. Experience producing data visualizations and charts (Excel/Google Sheets, or directly from analytical tools) with an eye for clarity and storytelling, not just aesthetics. Working fluency with AI-assisted analysis and workflow tools. You understand where these tools genuinely improve analytical work, where they fall short, and how to use them to enhance (not replace) rigorous thinking and judgment. Structured thinking and comfort with ambiguity. You can take an ambiguous business question, determine what information matters, structure an analytical approach, and translate complex or incomplete inputs into a clear, defensible point of view. You are comfortable navigating uncertainty, forming hypotheses, and iterating toward an answer without needing perfectly defined requirements from the outset. Strong collaboration skills. You work well embedded within a research team and can navigate a matrixed, geographically distributed organization. Excellent written and verbal communication skills. Familiarity with operations or supply chain is a plus, but curiosity and fast learning matter more Benefits: Competitive salary and bonus scheme Unlimited holidays Private healthcare & Life Insurance Enhanced pension Enhanced Parental Leave Policy Custom designed offices in central London with free breakfasts & snacks Zero100 is an Equal Opportunity-Affirmative Action Employer, welcoming applications from individuals of all backgrounds. We embrace diversity and inclusion in our workplace.
What we do: Zero100 is a membership-based intelligence company that connects, informs, and inspires the world's most influential C-Level Operations & Supply Chain Officers - and their teams - to unlock the true potential of the AI and Digital Revolution for the lasting benefit of business and our planet. Our members use Zero100's research and advisory services to shape their supply chain strategies, and they harness the power of our community to expand their thinking, challenge their assumptions, and accelerate progress on their most important digitization and decarbonization initiatives. With a rapidly expanding headquarters in central London, we're proud to be backed by leading investors and supported by an impressive list of founding members that includes Unilever, Google, The Estee Lauder Companies, Toyota and many others. What you will do: Note that this is a primarily office-based role ( 4 days per week). We are hiring a London-based Senior Analyst, Data & Insights to deliver high-quality, evidence-based analysis that helps the world's top operations and supply chain leaders make better decisions. Your work will directly inform the research, presentations, and advisory services we deliver to our members, translating complex datasets into clear, decision-oriented narratives for C-suite audiences. We're looking for someone with strong analytical fundamentals who has developed practical working habits with AI tools and understands where they genuinely improve analytical workflows - and where they don't. You should know what good analysis looks like well enough to recognize when AI-generated output is useful, when it needs refinement or validation, and when it shouldn't be relied upon. We're looking for someone who sees these tools as part of a rigorous analytical workflow, not a substitute for structured thinking, sound judgment, or domain understanding. The right candidate has experience translating data into insights for senior or executive stakeholders, not just building dashboards, but crafting narratives that drive decisions. A consulting-like mindset (comfort with ambiguity, structured thinking, ability to work across diverse problem spaces) is important. You're a strong collaborator who can partner effectively with researchers, understand what customers need, and deliver work that improves customer workflows. As you grow into the role, there will be meaningful opportunity to shape what we investigate, bring forward original insights, and engage directly with customers. Beyond the day job, we are looking for candidates who share our enthusiasm about the potential for Zero100 to have a positive impact on the supply chain profession and (more broadly) the planet. Responsibilities: Deliver data analysis in partnership with the Research team, producing visualizations and data points that feed into customer-facing deliverables (slides, reports, presentations). Transform complex datasets into clear, insight-driven narratives tailored for executive audiences. Scope data needs for new analyses, partnering with data engineering on pipeline work and leading on transformation, analysis, visualization, and storytelling. Ensure quality and integrity of all insights delivered, maintaining a high bar for accuracy and clarity. Synthesize across structured and unstructured sources - survey data, executive interview transcripts, operational datasets, and qualitative research notes - to develop insights that wouldn't surface from any single source alone. Leverage AI tools (including our internal LLM) to accelerate analysis, explore data, and push the boundaries of how insights are generated. Collaborate closely with research, design, and customer-facing teams to understand stakeholder needs and deliver work that exceeds expectations. Over time, identify opportunities to proactively surface new insights, propose new lines of inquiry, and contribute to the evolution of our data products. Requirements: 5-7 years of experience in data analysis, insights, or a related field, with demonstrated ability to translate data into narratives for senior/executive audiences. Strong analytical fundamentals: SQL required, Python preferred, comfort working in environments like Databricks. Experience producing data visualizations and charts (Excel/Google Sheets, or directly from analytical tools) with an eye for clarity and storytelling, not just aesthetics. Working fluency with AI-assisted analysis and workflow tools. You understand where these tools genuinely improve analytical work, where they fall short, and how to use them to enhance (not replace) rigorous thinking and judgment. Structured thinking and comfort with ambiguity. You can take an ambiguous business question, determine what information matters, structure an analytical approach, and translate complex or incomplete inputs into a clear, defensible point of view. You are comfortable navigating uncertainty, forming hypotheses, and iterating toward an answer without needing perfectly defined requirements from the outset. Strong collaboration skills. You work well embedded within a research team and can navigate a matrixed, geographically distributed organization. Excellent written and verbal communication skills. Familiarity with operations or supply chain is a plus, but curiosity and fast learning matter more Benefits: Competitive salary and bonus scheme Unlimited holidays Private healthcare & Life Insurance Enhanced pension Enhanced Parental Leave Policy Custom designed offices in central London with free breakfasts & snacks Zero100 is an Equal Opportunity-Affirmative Action Employer, welcoming applications from individuals of all backgrounds. We embrace diversity and inclusion in our workplace.