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- Tasks: Design and build AI platforms, develop secure APIs, and enhance developer experiences.
- Company: Leading tech firm in London focused on innovative AI solutions.
- Benefits: Competitive daily rate, flexible working arrangements, and a chance to work with cutting-edge technology.
- Other info: Exciting 6-month contract with opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of AI with your skills.
- Qualifications: Strong Python skills, experience with LLMs, and knowledge of REST APIs required.
The predicted salary is between 68000 - 85000 ÂŁ 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.
Machine Learning Engineer in London employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning 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. Be ready to discuss your experience with containerisation, Kubernetes, and any relevant frameworks. Practice common interview questions to boost your confidence!
✨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. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning 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 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. Don’t forget to mention your familiarity with MCP and REST APIs – we love that stuff!
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's building secure API wrappers or working with containerisation, we want to see what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
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 this role involves working closely with product engineering teams, highlight your experience in collaborative environments. Share examples of how you've contributed to team projects, especially in shaping developer experiences or establishing reusable engineering patterns.
✨Ask Smart Questions
Prepare insightful questions about the company's AI platform and its future direction. This not only shows your interest but also gives you a chance to demonstrate your knowledge of MCP and RAG architectures, making you stand out as a candidate who’s genuinely engaged.