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 work environment with a focus on diversity and inclusion.
- Why this job: Make an impact in the AI revolution with innovative projects.
- Qualifications: 5 years in data and ML engineering, strong Python and SQL skills.
The predicted salary is between 70000 - 90000 € 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.
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.
Senior AI Engineer in London 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 lead impactful projects while collaborating with top-tier clients and industry leaders, making your contributions truly meaningful.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Zero100 on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior AI Engineer role.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python and SQL skills. Make sure you can confidently discuss your experience with data pipelines and AI/ML systems, as these will be key topics during your interview.
✨Tip Number 3
Showcase your projects! Bring examples of your previous work that demonstrate your ability to build production-grade systems. This will help you stand out and show that you can hit the ground running at Zero100.
✨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 being part of the Zero100 team.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI/ML systems and data pipelines, and don’t forget to mention any relevant projects you've owned from start to finish.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills align with our mission at Zero100. Keep it engaging and personal – we want to get to know you!
Showcase Your Technical Skills:Be specific about your technical expertise in Python, SQL, and cloud platforms like AWS or Google Cloud. Mention any hands-on experience with tools like Databricks or Spark, as these are key for us.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Zero100
✨Know Your Stuff
Make sure you brush up on your AI/ML knowledge, especially around production-grade systems and data pipelines. Be ready to discuss your past projects in detail, focusing on your role and the impact of your work.
✨Show Your Collaborative Spirit
Zero100 values teamwork, so be prepared to share examples of how you've worked with cross-functional teams. Highlight your communication skills and how you've navigated complex stakeholder needs in previous roles.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Think through potential challenges in AI/ML projects and be ready to discuss how you would approach them, showcasing your critical thinking.
✨Be Ready to Discuss Trends
Stay updated on the latest trends in AI and digital transformation. Be prepared to share your thoughts on emerging technologies and how they could impact Zero100's mission, showing your genuine interest in the field.