At a Glance
- Tasks: Build and scale AI/ML systems while collaborating with diverse teams.
- Company: Join Zero100, a leading intelligence company in central London.
- Benefits: Enjoy competitive salary, unlimited holidays, private healthcare, and more.
- Other info: Dynamic office culture with free breakfasts and snacks.
- Why this job: Make an impact in the AI revolution with top-tier clients like Nike and Google.
- Qualifications: 5 years in data and ML engineering, with strong Python and SQL skills.
The predicted salary is between 80000 - 100000 € per year.
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.
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.
Senior AI Engineer employer: Zero100
Zero100 is an exceptional employer, offering a dynamic work environment in the heart of central London where innovation thrives. With a focus on employee growth, we provide unlimited holidays, private healthcare, and a supportive culture that champions diversity and inclusion. As a Senior AI Engineer, you'll have the opportunity to work on cutting-edge AI/ML projects while enjoying a collaborative atmosphere that encourages experimentation and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Zero100 on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your AI/ML projects. When you get that interview, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Be ready to discuss your thought process! During interviews, they’ll want to know how you approach problem-solving. Practice explaining your past projects and the decisions you made along the way.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Zero100 team.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your hands-on experience with AI/ML systems and data pipelines, as well as any relevant projects you've owned from start to finish.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for Zero100. Share specific examples of your work that demonstrate your ability to thrive in a fast-paced environment.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and cloud platforms like AWS or Google Cloud. We want to see your technical chops, so include any relevant certifications or projects that showcase your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Zero100
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge, especially around production-grade systems. Be ready to discuss your experience with data pipelines, cloud environments, and any hands-on projects you've led. Zero100 values practical experience, so have specific examples at the ready!
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, highlight your teamwork skills. Share stories about how you've collaborated with product, research, or other engineering teams in the past. This will show that you're not just a tech whiz but also a great team player.
✨Demonstrate Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Zero100 is looking for someone who can think on their feet and come up with innovative solutions. Practice explaining your thought process clearly, as they want to see how you approach challenges.
✨Be Ready to Discuss Trends
Stay updated on the latest trends in AI and agentic systems. Be prepared to share your thoughts on emerging technologies and how they could impact Zero100's work. This shows your genuine interest in the field and your proactive approach to staying informed.