At a Glance
- Tasks: Design, build, and operate mission-critical machine learning capabilities with innovative teams.
- Company: Join MI6, a leading organisation at the forefront of AI technology.
- Benefits: Competitive salary, career development, and the chance to work on impactful projects.
- Other info: Collaborative environment with opportunities to mentor and lead innovative initiatives.
- Why this job: Be part of a mission to enhance national security through cutting-edge machine learning.
- Qualifications: Experience in ML lifecycle, Python, and familiarity with MLOps tools.
The predicted salary is between 60000 - 80000 € per year.
Requirements
There's no single route into this role – what matters most is your genuine, end-to-end understanding of the ML lifecycle and real, practical experience of model deployment, monitoring, and optimisation. This may come from working as a Machine Learning Engineer already, years spent as a Software Engineer building applied ML systems, or a data science background grounded in strong mathematical foundations.
You'll have seen at least one full project lifecycle through from start to finish, ideally within an environment with centralised standards and platforms. With your background of managing model lifecycles and deployments, you'll know what it takes to fine-tune and operationalise models in live environments, and you'll be comfortable working across platforms with the ability to adapt to customer-embedded models as needs evolve. Hands-on experience working alongside scientists and within deployment environments is central to this role, as is familiarity with MLOps tooling, scheduling, and orchestration. You'll be comfortable working in cloud environments and with ML lifecycle tools such as Weights & Biases, and you'll have Python experience too. Experience with Docker or Kubernetes is beneficial, but not essential.
You're also curious, self-directed, and always keen to learn more. You're comfortable with ambiguity, calm under pressure, and able to see beyond the immediate task. You communicate clearly, work well within technical communities, and bring the resilience to keep things moving should any obstacles arise.
What the job involves
Enhancing how we operate today will better prepare us for the challenges of tomorrow. That's why we're creating dedicated teams focused on bringing Artificial Intelligence (AI) into some of our most mission-critical areas. As a Machine Learning Engineer, you'll be at the heart of our efforts, working with our technical teams to design, build and operate mission-critical machine learning capabilities. This includes everything from infrastructure and MLOps through to training, fine-tuning, deployment, and live model management. While you'll be hands-on in engineering, your work will also be advisory, ensuring models are reliable, scalable, and fit for use.
Day to day, you'll collaborate with multidisciplinary teams of data scientists, researchers, and hosting specialists, acting as the subject-matter expert for ML deployment, reliability, and best practice. You'll be the critical bridge between research and production, making sure ideas don't stay theoretical but instead become robust, impactful systems.
A large part of your role will be leading on the technical evaluation of environments and workflows, driving innovation-led initiatives, and continuously improving how we monitor, measure, and optimise model performance. Just as importantly, you'll champion model explainability, transparency, and ethical AI as core engineering principles. Across multiple projects, you'll also support and mentor junior ML engineers, help software engineers design ML-ready hosting environments, and translate complex systems into a clear, practical understanding for non-technical stakeholders.
Machine Learning Engineer (MI6) in London employer: Deepstreamtech
At MI6, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Machine Learning Engineer, you'll not only work on cutting-edge AI projects but also have the opportunity to mentor junior engineers and contribute to meaningful national security efforts. Our commitment to employee growth, ethical AI practices, and a supportive work environment makes MI6 a unique and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (MI6) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the ML community. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your experience with model deployment and optimisation. Share it on platforms like GitHub or your personal website to catch the eye of recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your hands-on experience with MLOps tools and how you've tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to reflect your understanding of the ML lifecycle and your passion for continuous learning.
We think you need these skills to ace Machine Learning Engineer (MI6) in London
Some tips for your application 🫡
Show Your ML Journey:When writing your application, make sure to highlight your understanding of the entire ML lifecycle. Share specific examples of projects you've worked on, especially those where you deployed and optimised models in live environments. We want to see your hands-on experience!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, especially around MLOps tooling and cloud environments. Remember, we appreciate clarity just as much as technical expertise!
Demonstrate Your Curiosity:We love candidates who are eager to learn! In your application, mention any recent courses, workshops, or self-directed projects that showcase your curiosity and commitment to staying updated in the ML field. Show us how you keep pushing your boundaries!
Tailor Your Application:Make sure to tailor your application to the role at MI6. Highlight your experience with model explainability, transparency, and ethical AI, as these are key principles for us. Don’t forget to apply through our website – it’s the best way to get noticed!
How to prepare for a job interview at Deepstreamtech
✨Know Your ML Lifecycle
Make sure you can confidently discuss the entire machine learning lifecycle. Be prepared to share specific examples from your past projects where you managed model deployment, monitoring, and optimisation. This will show that you have the hands-on experience they’re looking for.
✨Familiarise with MLOps Tools
Brush up on your knowledge of MLOps tooling, especially Weights & Biases. If you’ve used Docker or Kubernetes, be ready to talk about how you’ve applied these tools in your work. Even if you haven’t, showing a willingness to learn can go a long way!
✨Communicate Clearly
Since you'll be working with multidisciplinary teams, practice explaining complex technical concepts in simple terms. Think about how you would describe your work to someone without a technical background. Clear communication is key to bridging the gap between research and production.
✨Show Your Curiosity
Demonstrate your passion for continuous learning and staying updated with the latest in AI and ML. Share any recent courses, articles, or projects that have sparked your interest. This will highlight your self-directed nature and eagerness to grow within the field.
