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- 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.
Role: Senior ML Engineer — Agentic AI Platforms
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 employer: TEC PARTNERS LIMITED
Contact Detail:
TEC PARTNERS LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 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 Kubernetes. Practice coding challenges and be ready to discuss your experience with agentic reasoning patterns and RAG architecture.
✨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 experience with Python, LLMs, and AI tools. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Technical Skills: Don’t forget to mention your experience with FastAPI, REST APIs, and Kubernetes. We’re looking for someone who can hit the ground running, so highlight any hands-on experience you have with these technologies.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at TEC PARTNERS LIMITED
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, FastAPI, and REST API development. Brush up on your knowledge of LLMs and agentic reasoning patterns, as these will likely come up during the interview. Being able to discuss your past projects and how you've applied these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to AI tools and orchestration workflows. Think about how you approached these problems and what solutions you implemented. This will demonstrate your hands-on experience and ability to think critically in a fast-paced environment.
✨Understand the Company’s Vision
Research the company’s goals regarding AI infrastructure and how they plan to scale their capabilities. Being able to articulate how your skills align with their vision will set you apart. It shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their mission.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask your interviewers. Inquire about their current projects, team dynamics, and how they measure success in the role. This not only shows your interest but also helps you gauge if the company is the right fit for you.