Senior AI Engineer
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 our 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 (#43), 2025
LinkedIn Top 25 Start-Ups (#12), 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
Requirements
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 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 our 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 (#43), 2025
LinkedIn Top 25 Start-Ups (#12), 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
Requirements
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.
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