At a Glance
- Tasks: Design and deploy cutting-edge machine learning systems for MI6's operational needs.
- 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: Dynamic role with a focus on ethical AI and career development.
- Why this job: Make a real impact on national security while working with advanced technologies.
- Qualifications: Experience in machine learning deployment and strong collaboration skills required.
The predicted salary is between 40000 - 50000 € per year.
Location: London
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
Who we're looking for
You might be:
- 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.
Important to know
Due to the nature of the work, the role is based in London, and the recruitment process includes enhanced security checks.
Find out more & apply via Civil Service Jobs
Machine Learning Engineer - MI6 - HEO in London employer: Government Digital & Data
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 impactful environment. Our collaborative work culture fosters innovation and personal growth, with ample opportunities for professional development and mentorship. Located in London, we provide a stimulating atmosphere where your contributions directly influence national security, making your work not only meaningful but also rewarding.
Contact Detail:
Government Digital & Data Recruiting Team
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 us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your ML knowledge. We should be ready to discuss real-world applications of machine learning and how we can contribute to MI6's mission. Practice explaining complex concepts in simple terms!
✨Tip Number 3
Showcase our projects! If we’ve worked on any relevant ML systems, make sure to highlight them during interviews. Having tangible examples of our work can set us apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re genuinely interested in being part of the MI6 team.
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 hands-on projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our mission at MI6. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Mention any relevant tools and technologies you’ve used, like Docker or Kubernetes. Even if you’re not an expert, showing familiarity with MLOps tooling will definitely catch our eye. We appreciate a willingness to learn!
Apply Through Our Website:Don’t forget to apply through our official 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 – just follow the prompts!
How to prepare for a job interview at Government Digital & Data
✨Know Your ML Lifecycle
Make sure you can confidently discuss the entire machine learning lifecycle. Be prepared to explain how you've handled each stage, from training and fine-tuning models to deployment and live monitoring. This shows that you understand the complexities involved and can manage them effectively.
✨Showcase Your Technical Skills
Brush up on your experience with MLOps tooling, cloud platforms, and Python. Be ready to provide specific examples of how you've used these tools in past projects. If you've worked with Docker or Kubernetes, mention that too, as it could give you an edge!
✨Communicate Clearly
Since collaboration is key in this role, practice articulating your thoughts clearly. Think about how you would explain complex concepts to non-technical team members. This will demonstrate your ability to bridge the gap between research and production effectively.
✨Emphasise Ethical AI Principles
Be prepared to discuss your views on explainable, ethical, and transparent AI. Share any experiences where you've championed these principles in your work. This aligns with the values of MI6 and shows that you're not just technically proficient but also socially responsible.
