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.
- Benefits: Competitive daily rates, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovative AI solutions.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience with LLMs, FastAPI, and cross-team collaboration.
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 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.
Contact Detail:
TEC Partners - Technical Recruitment Specialists Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨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 knowledge of FastAPI, REST APIs, and RAG architecture. Practise coding challenges and be ready to discuss your past experiences with agentic reasoning patterns.
✨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
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 Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LLMs and FastAPI. Brush up on your knowledge of agentic reasoning patterns and RAG architecture, as these will likely come up during technical discussions.
✨Showcase Your Hands-On Experience
Prepare to discuss specific projects where you've designed and built AI tools or worked with secure API integrations. Use concrete examples to demonstrate your problem-solving skills and how you’ve contributed to previous teams.
✨Understand the Company’s AI Vision
Research the company’s approach to AI and their current projects. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and can contribute to their mission.
✨Prepare for Collaborative Scenarios
Since the role involves working across platform and product engineering teams, be ready to discuss how you’ve successfully collaborated in the past. Think of examples where you’ve navigated challenges in teamwork and how you ensured smooth communication.
