At a Glance
- Tasks: Design and operate mission-critical machine learning systems for MI6.
- Company: Join MI6, the UK's Secret Intelligence Service, at the forefront of AI innovation.
- Benefits: Competitive salary, unique work environment, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to mentor and support fellow engineers.
- Why this job: Be part of a transformative journey in AI and make a real impact on national security.
- Qualifications: Experience in end-to-end ML deployment and strong engineering skills.
The predicted salary is between 40000 - 50000 € per year.
At MI6 (the Secret Intelligence Service), we’re investing heavily in artificial intelligence and machine learning to strengthen how we operate today and prepare for the challenges of tomorrow. As a Machine Learning Engineer, you’ll be a key part of that transformation. You’ll be working at the point where machine learning moves into live, operational use, designing, deploying and maintaining robust capabilities in environments where quality, resilience and trust are paramount.
What You’ll Be Working On
- Design, build and operate mission‑critical machine learning systems
- Own the end‑to‑end ML lifecycle, from training and fine‑tuning through to deployment and live monitoring
- Act as the bridge between research and production, ensuring models are reliable, scalable and fit for purpose
- Shape and improve MLOps practices, infrastructure and workflows
- Champion explainable, ethical and transparent AI as core engineering principles
- Collaborate with data scientists, researchers, software engineers and hosting specialists
- Support and mentor other engineers, helping to raise ML capability across teams
Candidate Profile
Who we’re looking for:
- A Machine Learning Engineer with end‑to‑end deployment experience
- A Software Engineer who has built and run applied ML systems
- A Data Scientist with strong engineering and mathematical foundations
What Matters Most Is That You
- Understand the full ML lifecycle
- Have experience deploying, monitoring and optimising models in live environments
- Are comfortable working with MLOps tooling, cloud platforms and Python
- Can work calmly with ambiguity and think beyond the immediate task
- Communicate clearly and collaborate well within technical communities
Experience with tools such as Weights & Biases, Docker or Kubernetes is helpful, but not essential.
Machine Learning Engineer - MI6 - HEO employer: Free-Work UK
At MI6, we pride ourselves on being an exceptional employer, offering a unique opportunity to work at the forefront of artificial intelligence and machine learning in a dynamic and secure environment. Our collaborative work culture fosters innovation and personal growth, with ample opportunities for professional development and mentorship. Join us in making a meaningful impact while enjoying the benefits of a supportive team dedicated to ethical and transparent AI practices.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - MI6 - HEO
✨Tip Number 1
Network like a pro! Reach out to current or former employees at MI6 on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can set you apart from the crowd.
✨Tip Number 3
Ace the interview by practising common ML scenarios. Be ready to discuss how you've tackled challenges in deploying models and optimising performance. We want to see your thought process and problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the MI6 team and contributing to their mission.
We think you need these skills to ace Machine Learning Engineer - MI6 - HEO
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your end-to-end ML lifecycle experience and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and machine learning, and how your background makes you a perfect fit for MI6. Don’t forget to mention your experience with MLOps and collaboration with technical teams.
Showcase Your Projects:If you've got any personal or professional projects related to machine learning, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to deploy and monitor models in live environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our team!
How to prepare for a job interview at Free-Work UK
✨Know Your ML Lifecycle
Make sure you can confidently discuss the entire machine learning lifecycle. Be prepared to explain your experience with training, fine-tuning, deploying, and monitoring models. This shows that you understand the complexities involved and can handle the end-to-end process.
✨Showcase Your Technical Skills
Brush up on your technical skills, especially in Python and MLOps tooling. Be ready to talk about specific projects where you've deployed and optimised models in live environments. Highlight any experience with tools like Docker or Kubernetes, even if it's just a basic understanding.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex concepts in simple terms. Think about how you would communicate your ideas to non-technical stakeholders. Clear communication can set you apart from other candidates.
✨Embrace Ambiguity
Prepare to discuss how you've navigated uncertainty in past projects. Share examples of how you approached problems when the path wasn't clear. This will demonstrate your ability to think critically and adapt, which is crucial for a role at MI6.
