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- Tasks: Design and deploy cutting-edge AI systems for defence and security.
- Company: Join a leading firm at the forefront of national security technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real difference in high-stakes environments with impactful AI solutions.
- Qualifications: Strong Python skills and experience with ML frameworks like TensorFlow or PyTorch.
- Other info: Work in a dynamic team with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
We're looking for a Machine Learning Engineer to design, build, and deploy production-grade AI systems within high-stakes defence and security environments. This role focuses on taking machine learning from prototype to real-world deployment, working closely with engineers, data scientists, and commercial stakeholders to deliver scalable, secure, and impactful solutions.
Key responsibilities:
- Build and deploy production-grade ML software, tooling, and infrastructure
- Design reusable, scalable ML solutions and deployment patterns
- Lead technical scoping and architectural decisions for client engagements
- Collaborate across engineering, data science, and commercial teams
- Translate complex ML concepts into clear guidance for non-technical stakeholders
- Define and uphold best practices for deploying ML at scale
Required skills:
- Strong Python and software engineering fundamentals
- Experience operationalising ML models (e.g. Scikit-learn, TensorFlow, PyTorch)
- Hands-on cloud experience (AWS, Azure or GCP), including security considerations
- Containerisation and orchestration (Docker, Kubernetes)
- Solid grounding in core ML concepts, probability, and statistics
- Excellent communication and stakeholder-facing skills
Additional requirements:
- Eligible for UK Security Clearance (SC)
- Willing to work up to 3 days per week on-site (London and other UK locations)
Machine Learning Engineer – Defence & National Security in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer – Defence & National Security in London
✨Tip Number 1
Network like a pro! Reach out to folks in the defence and security sectors on LinkedIn. We can leverage our connections to get insights and maybe even referrals that could land us an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to defence and security. We want to demonstrate our ability to take ML from prototype to real-world deployment.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML frameworks like TensorFlow and PyTorch. We should be ready to discuss our experience with operationalising models and cloud platforms like AWS or Azure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, we can tailor our approach based on the specific needs of the role.
We think you need these skills to ace Machine Learning Engineer – Defence & National Security in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, cloud platforms, and any relevant projects that showcase your skills in deploying ML solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about defence and security, and how your background makes you a perfect fit for this role. Don’t forget to mention your eligibility for SC clearance!
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with tools like TensorFlow, PyTorch, and Docker. We want to see how you've operationalised ML models and tackled real-world challenges.
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!
How to prepare for a job interview at Anson McCade
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss your experience with frameworks like Scikit-learn, TensorFlow, and PyTorch. They’ll likely want to hear about specific projects where you operationalised ML models, so have some examples ready.
✨Show Off Your Collaboration Skills
This role involves working closely with engineers, data scientists, and commercial stakeholders. Be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve translated complex concepts for non-technical folks.
✨Get Familiar with Cloud Platforms
Since hands-on cloud experience is a must, make sure you know your way around AWS, Azure, or GCP. Be ready to discuss security considerations and how you’ve deployed ML solutions in the cloud. If you’ve used Docker or Kubernetes, definitely mention that too!
✨Prepare for Technical Questions
Expect some technical scoping and architectural decision questions during the interview. Brush up on best practices for deploying ML at scale and be ready to explain your thought process. It’s all about showing you can think critically and lead in a high-stakes environment.
