At a Glance
- Tasks: Design and build cutting-edge AI tools and secure integrations for enterprise systems.
- Company: Join a leading tech firm shaping the future of AI infrastructure.
- Benefits: Competitive daily rates, flexible work arrangements, and a focus on professional growth.
- Other info: Collaborative culture with opportunities to work across diverse engineering teams.
- Why this job: Be at the forefront of AI innovation and make a real impact in a dynamic environment.
- Qualifications: Strong Python skills and experience with LLMs and AI tooling frameworks.
The predicted salary is between 72000 - 108000 £ 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:
- 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 employer: Tec Partners Recruitment Ltd
Join a forward-thinking organisation in London as a Senior ML Engineer, where you'll be part of a dynamic team dedicated to pioneering enterprise-grade AI solutions. With a strong emphasis on engineering excellence and innovation, the company fosters a collaborative work culture that encourages professional growth and development. Enjoy the unique advantage of working in a vibrant city while contributing to cutting-edge projects that shape the future of AI technology.
Contact Details:
Tec Partners Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer
✨Tip Number 1
Network like a pro! Connect with folks in the AI and ML space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 technical interviews by brushing up on your knowledge of Kubernetes and containerisation. Practice coding challenges related to AI tools and orchestration workflows to demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace ML Engineer
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 excited about the opportunity to work on agentic AI platforms. We love seeing passion and enthusiasm, so let us know what drives you in this field.
Showcase Your Projects:If you've worked on any projects involving FastAPI, REST APIs, or Kubernetes, make sure to mention them! We’re keen to see practical examples of your experience, especially those that demonstrate your ability to build and scale AI capabilities.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Tec Partners Recruitment Ltd
✨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. Be prepared to dive deep into FastAPI and REST API development, as well as your knowledge of Kubernetes and containerisation. The more confident you are in these areas, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. Think about how you've approached similar problems in the past, especially around RAG architecture and prompt engineering. Use specific examples to demonstrate your thought process and how you arrived at your solutions.
✨Understand the Company’s Vision
Research the company’s AI initiatives and their approach to agentic AI capabilities. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the role and can contribute to shaping the future of their enterprise AI infrastructure.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the team dynamics, the engineering environment, and how they measure success in AI projects. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you.
