At a Glance
- Tasks: Design and deploy cutting-edge machine learning systems for real-world applications.
- Company: Join MI6, the 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 a focus on ethical and explainable AI.
- Why this job: Be part of a transformative mission using AI to tackle future challenges.
- Qualifications: Experience in ML deployment and strong software engineering skills required.
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 in London 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. Located in the heart of London, we provide a stimulating atmosphere where your contributions directly impact national security, making your work not only meaningful but also immensely rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - MI6 - HEO in London
✨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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with the full ML lifecycle and any relevant projects. We want to see how you've designed, built, and operated machine learning systems, so don’t hold back on those details!
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 skills align with our mission at MI6. We love seeing genuine enthusiasm!
Showcase Your Technical Skills:Be sure to mention your experience with MLOps tooling, cloud platforms, and Python. If you've worked with tools like Docker or Kubernetes, give us the scoop! We’re keen to know how you can contribute to our tech stack.
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 to do!
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, deployment, and live monitoring of 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 Python skills and be ready to talk about your experience with MLOps tooling and cloud platforms. If you've worked with tools like Docker or Kubernetes, highlight those experiences. Even if you haven't, demonstrate your willingness to learn and adapt.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex concepts in simple terms. Think about how you would communicate with data scientists or software engineers who may not have the same technical background as you. Clear communication can set you apart.
✨Emphasise Ethical AI Practices
Be prepared to discuss your views on explainable and ethical AI. Share any experiences where you’ve championed transparency in your work. This aligns with the values of MI6 and shows that you’re not just technically skilled but also socially responsible.
