At a Glance
- Tasks: Design and build AI platforms, develop secure APIs, and collaborate with engineering teams.
- Company: Leading tech firm in London focused on innovative AI solutions.
- Benefits: Competitive daily rate, flexible working arrangements, and opportunities for skill development.
- Other info: Dynamic contract role with potential for growth in a fast-paced environment.
- Why this job: Join a cutting-edge project and shape the future of AI technology.
- Qualifications: Strong Python skills, experience with LLMs, and knowledge of REST APIs.
The predicted salary is between 68000 - 85000 € per year.
This programme delivers a production‑grade enterprise agentic AI platform, with MCP as the extensibility layer.
Responsibilities:
- Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
- Implement Skills that combine tools, data, and reasoning into structured, repeatable, and governed workflows.
- Contribute to the internal AI assistant’s agentic framework, including planning, tool invocation, and orchestration logic.
- Develop secure API wrappers for systems that lack appropriate authentication, authorisation, or entitlement mechanisms.
- Work closely with product engineering teams in a “build-for” model, transferring knowledge and establishing reusable engineering patterns.
- Shape the developer experience for MCP and Skills, including templates, contribution standards, and documentation.
- Collaborate with Quality Engineering and SRE teams to ensure solutions meet requirements for reliability, governance, and operational readiness.
Skills & Experience Required:
- Strong Python development experience in production environments.
- Hands‑on experience with LLMs, agent frameworks, and agentic reasoning patterns.
- Practical understanding of Model Context Protocol (MCP), including tool and server design patterns.
- Experience building REST APIs, ideally using FastAPI.
- Familiarity with prompt engineering and retrieval‑augmented generation (RAG) architectures.
- Experience with containerisation and Kubernetes‑based deployment environments.
- Ability to operate across platform, product, and governance boundaries in large enterprise settings.
ML Engineer in London employer: Cititec
As a leading technology firm based in London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our ML Engineers to thrive. With competitive daily rates and a focus on cutting-edge AI solutions, we offer exceptional growth opportunities through collaboration with top-tier product engineering teams and access to the latest tools and technologies. Join us to be part of a forward-thinking environment where your contributions directly impact the development of enterprise-grade AI platforms.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, and API development. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with containerisation and Kubernetes. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that ML Engineer role!
We think you need these skills to ace ML Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Engineer role. Highlight your Python development experience and any hands-on work with LLMs or agent frameworks. We want to see how your skills match up with what we're looking for!
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 experience aligns with our needs. We love seeing enthusiasm and a clear understanding of the role.
Showcase Relevant Projects:If you've worked on projects involving REST APIs, containerisation, or Kubernetes, make sure to mention them. We appreciate practical examples that demonstrate your skills in action, especially in production environments.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Cititec
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with LLMs and agent frameworks. Be prepared to explain how you've implemented these technologies in production environments, as this will show your practical understanding of the role.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios related to tool design and server patterns. Think about how you would approach building secure API wrappers or implementing workflows, and articulate your thought process clearly.
✨Collaborate Like a Pro
Since the role involves working closely with product engineering teams, highlight any past experiences where you’ve successfully collaborated across different teams. Share examples of how you’ve contributed to knowledge transfer and established reusable engineering patterns.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s AI platform and its future direction. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.
