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For Companies At a Glance
- Tasks: Train and evaluate AI systems, design backend services, and deploy scalable infrastructure.
- Company: Join an innovative team building a government AI platform with real-world impact.
- Benefits: Competitive salary, early-stage equity, and the chance to shape foundational AI infrastructure.
- Why this job: Make a difference by automating public services with cutting-edge AI technology.
- Qualifications: Experience in Python or Rust, and a passion for clean system design.
- Other info: Opportunity for high impact and deep technical work in a supportive environment.
The predicted salary is between 84000 - 140000 £ per year.
We're partnered with an early-stage team building a government AI platform that automates frontline workflows — calls, documents, admin — using LLMs and AI agents. Backed by leading VCs and due to be announced as part of the Sovereign AI Fund, this is a rare opportunity to build foundational AI infrastructure from the ground up. This is production AI, not prototypes. The systems you build will handle real public services at scale.
What you'll do:
- Train, fine-tune and evaluate LLM-powered systems
- Build robust RAG pipelines and agentic workflows
- Design and ship backend services in Python or Rust
- Develop orchestration layers for multi-agent systems
- Deploy secure, scalable infrastructure in AWS
- Turn messy real-world workflows into reliable AI systems
Tech:
- Langs: Python or Rust, TypeScript
- LLMs: OpenAI / Anthropic / Gemini
- Frameworks: RAG & agentic workflows (LangChain / LangGraph)
- Data: PostgreSQL / Redis
- Infra: Docker, Kubernetes, AWS
You’ll thrive if you:
- Understand LLM behaviour, evaluation and failure modes
- Care about clean system design and performance
- Have strong backend and distributed systems fundamentals
- Prefer shipping real systems over hype demos
- Have worked on Gov projects
High impact. Deep technical work. Real responsibility.
ML/AI Engineer in London employer: Altech Group Ltd
Contact Detail:
Altech Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML/AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working on government AI projects. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLMs, Python, or Rust. Include any projects that demonstrate your ability to build robust systems. This is your chance to shine and prove you can handle real public services at scale.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend and distributed systems fundamentals. Practice coding challenges and system design questions. We want you to feel confident when discussing how you’d tackle messy workflows and turn them into reliable AI systems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t forget to tailor your application to highlight your experience with government projects and production AI.
We think you need these skills to ace ML/AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the ML/AI Engineer role. Highlight your work with LLMs, Python or Rust, and any relevant government projects to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about building AI systems for public services. Share specific examples of your past work and how it aligns with our mission to automate frontline workflows.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! Include projects or experiences where you’ve trained LLMs, built RAG pipelines, or deployed infrastructure in AWS. We want to see what you can do!
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Altech Group Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Rust, and AWS. Brush up on your knowledge of LLMs and frameworks like LangChain or LangGraph. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can actually apply them.
✨Showcase Real-World Experience
Since this role involves building foundational AI infrastructure, be ready to share specific examples from your past work, especially if you've worked on government projects. Highlight how you’ve turned messy workflows into reliable systems and the impact your contributions had on real public services.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare for questions about system design, performance, and failure modes of LLMs. Practising coding problems or system design scenarios can help you articulate your thought process clearly and effectively.
✨Demonstrate Your Passion for Impactful Work
This role is all about high impact and real responsibility. Be prepared to discuss why you care about building systems that serve the public good. Show enthusiasm for the mission of the company and how your skills align with their goals, making it clear that you’re not just looking for any job, but this job.