Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build AI tools and secure API integrations for enterprise systems.
- Company: Leading AI engineering team in a dynamic, collaborative environment.
- Benefits: Competitive daily rates, flexible work arrangements, and opportunities for professional growth.
- Other info: Join a modern engineering team focused on governance and scalability.
- Why this job: Shape the future of enterprise AI and work with cutting-edge technologies.
- Qualifications: Strong Python skills and experience with LLMs and AI tooling frameworks.
The predicted salary is between 72000 - 108000 £ per year.
Location: London (3 days a week onsite)
Rates: Up to £900 p/d DOE (Inside IR35)
I'm looking for an experienced ML Engineer to join a central AI engineering function responsible for building and scaling enterprise-grade agentic AI capabilities across a global organisation. This team owns the core AI enablement platform used internally to support AI agents, orchestration workflows, knowledge retrieval, and secure tool integration at scale. The environment is highly engineering-focused, combining platform thinking with hands-on AI delivery.
The role will involve designing and building MCP servers, AI tools, orchestration skills, and secure API integrations that expose enterprise systems safely to LLM-powered agents. You'll also contribute to agent planning, tool-calling frameworks, RAG architecture, and the broader developer experience for internal AI platform adoption.
Key requirements:
- Strong Python engineering experience
- Experience with LLMs, AI agents, and agentic reasoning patterns
- FastAPI and REST API development
- RAG and prompt engineering experience
- Kubernetes/containerisation knowledge
- Exposure to MCP or similar AI tooling frameworks
- Ability to work across platform and product engineering teams
This is an opportunity to help shape the future of enterprise AI infrastructure within a large-scale, modern engineering environment focused on governance, scalability, and production-quality AI systems. If interested, please reach out to Fintan at TEC Partners.
ML Engineer in London employer: Tec Partners
Contact Detail:
Tec Partners Recruiting Team
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 LLMs and AI tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and API development skills. Practice coding challenges and be ready to discuss your experience with Kubernetes and containerisation – these are hot topics!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python engineering experience and any relevant work with LLMs and AI agents. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 with FastAPI, REST APIs, and Kubernetes makes you a great fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any projects involving RAG architecture or prompt engineering, make sure to mention them! We love seeing practical examples of your work, so include links or descriptions that demonstrate your hands-on experience.
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 don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Tec Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with LLMs and AI agents. Prepare to explain how you've used FastAPI and REST API development in past projects, as well as any hands-on experience with Kubernetes or containerisation.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think about how you would approach designing and building MCP servers or integrating secure APIs. Practising common ML engineering problems can help you articulate your thought process clearly.
✨Understand the Bigger Picture
Familiarise yourself with the company's AI enablement platform and how it supports enterprise systems. Be ready to discuss how your role as a Senior ML Engineer fits into the broader goals of the organisation, especially regarding governance and scalability.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the team dynamics, the challenges they face in AI delivery, or how they envision the future of their AI infrastructure. This not only demonstrates your enthusiasm but also helps you gauge if it's the right fit for you.