At a Glance
- Tasks: Build advanced AI systems for defence and national security environments.
- Company: Ambitious VC-backed AI start-up with a focus on real-world impact.
- Benefits: Competitive salary, flexible office environment, and significant technical autonomy.
- Other info: Join a talented engineering team with opportunities for impactful problem-solving.
- Why this job: Work on cutting-edge AI projects that genuinely matter in critical situations.
- Qualifications: Strong foundations in machine learning and programming skills in Python or Rust.
The predicted salary is between 65250 - 79750 £ per year.
90,000 - 130,000London Area, AI Engineer LLMs / Python / Py Torch / Rust | Defence AI | UKAre you an AI Engineer who wants to work on problems where model performance, reliability and real-world impact genuinely matter?
I'm working with a highly ambitious, VC-backed AI start-up building advanced AI systems for some of the most demanding defence and national security environments.
They're looking for exceptional AI Engineers to build and deploy production-grade agentic systems, working on problems that go far beyond standard LLM applications.
Why it's interesting: Build advanced AI agents capable of taking actions in secure, highly controlled environments Work on LLM orchestration, agent architectures and model optimisation Explore multimodal AI, computer vision and real-time sensor data Take ownership of AI systems from research and prototyping through to production Solve challenging problems around reliability, safety, scalability and deployment Join an exceptionally strong engineering team with significant technical autonomy What we're looking for: Strong foundations in machine learning, deep learning and applied mathematics Production experience building agentic AI / LLM-based systems Strong programming ability in Python, Rust, C++ or Java Experience with Py Torch, JAX, Tensor Flow or agent orchestration frameworks Excellent engineering judgement and the ability to turn research into robust, production-ready AIA genuine interest in solving difficult technical problems with real-world consequences Ph Ds, top-tier ML research publications and experience deploying AI in constrained or regulated environments are a bonus.
The technical bar is high.
We're looking for engineers who combine deep ML understanding with the ability to build AI systems that actually work outside a research environment.ð UK | Office-first with flexibility UK right to work and eligibility for SC clearance required.
Esperto in Machine Learning & Intelligenza Artificiale in London employer: Understanding Recruitment
As a leading GreenTech company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and sustainability. Our employees enjoy a competitive benefits package, flexible working arrangements, and ample opportunities for professional growth, all while contributing to impactful clean energy projects that make a difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Esperto in Machine Learning & Intelligenza Artificiale in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Understanding Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Understanding Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Understanding Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Understanding Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Esperto in Machine Learning & Intelligenza Artificiale in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Understanding Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Understanding Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Understanding Recruitment
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Understanding Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
