Machine Learning Engineer in London

Machine Learning Engineer in London

London Full-Time 68000 - 85000 € / year (est.) No home office possible
TEC Partners - Technical Recruitment Specialists

At a Glance

  • Tasks: Design and build AI tools and secure API integrations for enterprise systems.
  • Company: Leading AI engineering team in a global organisation based in London.
  • Benefits: Competitive daily rates, flexible work environment, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on innovative AI solutions and career advancement.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: Experience with LLMs, FastAPI, and cross-team collaboration skills.

The predicted salary is between 68000 - 85000 € per year.

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
  • Experience with LLMs, AI agents, and agentic reasoning patterns
  • FastAPI and REST API development
  • RAG and prompt engineering experience
  • Exposure to MCP or similar AI tooling frameworks
  • Ability to work across platform and product engineering teams

Machine Learning Engineer in London employer: TEC Partners - Technical Recruitment Specialists

Join a forward-thinking organisation in London that champions innovation and collaboration, offering a dynamic work culture where your contributions as a Senior ML Engineer will directly impact the development of cutting-edge AI capabilities. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside industry experts in a highly engineering-focused environment. Enjoy the unique advantage of a hybrid work model, allowing you to balance onsite collaboration with remote flexibility, all while being part of a global team dedicated to pushing the boundaries of AI technology.

TEC Partners - Technical Recruitment Specialists

Contact Detail:

TEC Partners - Technical Recruitment Specialists 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 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 FastAPI and REST API development skills. Practice coding challenges and be ready to discuss your experience with RAG and prompt engineering.

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 Machine Learning Engineer in London

Machine Learning Engineering
LLMs (Large Language Models)
AI Agents
Agentic Reasoning Patterns
FastAPI
REST API Development
RAG (Retrieval-Augmented Generation)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with LLMs, AI agents, and any relevant frameworks like FastAPI. 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 background makes you a perfect fit for our team. Let us know what excites you about the role and the company.

Showcase Your Projects:If you've worked on any projects related to AI tools or orchestration workflows, make sure to mention them! We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills in real-world scenarios.

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 to join our team!

How to prepare for a job interview at TEC Partners - Technical Recruitment Specialists

Know Your ML Stuff

Make sure you brush up on your knowledge of LLMs, AI agents, and agentic reasoning patterns. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios. This will show that you’re not just familiar with the theory but can also implement it effectively.

Showcase Your API Skills

Since the role involves FastAPI and REST API development, prepare to talk about your experience with these technologies. Bring examples of projects where you’ve built or integrated APIs, and be ready to explain your thought process and any challenges you faced.

Understand the Bigger Picture

This position is all about building enterprise-grade solutions, so demonstrate your understanding of platform thinking. Discuss how you’ve worked across different teams in the past and how you approach collaboration to ensure successful AI delivery.

Prepare for Technical Questions

Expect some technical questions related to RAG architecture and prompt engineering. Brush up on these topics and think of specific examples from your experience that highlight your problem-solving skills and technical expertise. Being able to articulate your thought process will impress the interviewers.