At a Glance
- Tasks: Design and build cutting-edge AI tools and secure API integrations.
- Company: Join a leading tech firm shaping the future of enterprise AI.
- Benefits: Competitive daily rates, flexible work environment, and growth opportunities.
- Other info: Collaborative team culture focused on modern engineering practices.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong Python skills and experience with LLMs and AI agents required.
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.
Senior ML Engineer - Agentic AI Platforms. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a forward-thinking organisation in London that prioritises innovation and employee development, offering a collaborative work culture where your contributions directly impact the future of enterprise AI. With competitive rates and a focus on hands-on engineering, you'll have the opportunity to grow your skills while working alongside industry experts in a dynamic environment that values creativity and technical excellence.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Agentic AI Platforms. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, or any cool AI tools you've built. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications of agentic AI. Be ready to discuss your experience with FastAPI, REST APIs, and Kubernetes – they’ll want to see you know your stuff!
✨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 take that extra step.
We think you need these skills to ace Senior ML Engineer - Agentic AI Platforms. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong Python engineering experience and any work you've done with LLMs and AI agents. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your experience with FastAPI, REST API development, and Kubernetes can contribute to our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems in AI or platform engineering. We love seeing how you approach challenges, especially in areas like RAG architecture and tool-calling frameworks.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for this exciting opportunity to shape the future of enterprise AI infrastructure!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨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 APIs 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. Use examples from your previous work to illustrate your problem-solving process.
✨Understand the Company’s Vision
Research the company’s goals regarding AI infrastructure and how they plan to scale their agentic AI capabilities. This will help you align your answers with their vision and demonstrate that you're genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the engineering environment, and how they handle governance and scalability in their AI systems. This shows that you’re not just looking for a job, but are keen on being part of their journey.
