At a Glance
- Tasks: Lead the development of cutting-edge AI systems for defence clients.
- Company: Join a pioneering team focused on ethical, human-centred AI solutions.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in the defence sector with innovative AI technology.
- Qualifications: 5+ years in ML, strong Python skills, and cloud platform experience required.
The predicted salary is between 70000 - 90000 £ per year.
About the team
Our Defence team is focused on building and embedding human‑centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting‑edge AI to high‑stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on‑site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.
About the role
As a Senior Machine Learning Engineer, you’ll lead development and deployment of cutting‑edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production‑grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross‑functional role requiring a blend of technical expertise, engineering leadership, and confident client‑facing skills.
Responsibilities
- Lead technical scoping and architectural decisions for high‑impact ML systems.
- Design and build production‑grade ML software, tools, and scalable infrastructure.
- Define and implement best practices and standards for deploying machine learning at scale across the business.
- Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities.
- Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies.
- Mentor and develop junior engineers, actively shaping our team’s engineering culture and technical depth.
Qualifications
- Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch.
- Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems.
- Hands‑on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure.
- Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale.
- Comfortable thriving in fast‑paced, high‑growth environments, demonstrating ownership and autonomy in driving projects to completion.
- Excellent communication skills, confidently guiding both technical teams and senior, non‑technical stakeholders.
- Senior (5+ years of experience).
Benefits
- Unlimited annual leave policy.
- Private healthcare and dental.
- Enhanced parental leave.
- Family‑friendly flexibility & flexible working.
- Sanctus coaching.
- Hybrid working.
EEO Statement
We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Senior ML Engineer — Production-Scale AI Defence (Hybrid) in Milton Keynes employer: NLP PEOPLE
As a Senior Machine Learning Engineer in our Defence team, you will be part of an innovative and ethical environment that prioritises human-centred AI solutions, contributing to national security. Our London office offers a hybrid working model with unlimited annual leave, private healthcare, and a strong focus on employee growth through mentorship and coaching. Join us to work on impactful projects while enjoying a flexible work culture that values diversity and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Production-Scale AI Defence (Hybrid) in Milton Keynes
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars related to AI and machine learning. Building relationships can lead to job opportunities that aren’t even advertised yet.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving TensorFlow or PyTorch. Share your work on GitHub or personal websites to demonstrate your expertise and passion for ML.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and scenarios, and don’t forget to showcase your problem-solving abilities and how you can add value to their team.
✨Apply Through Our Website
We’ve got some fantastic roles waiting for you! Make sure to apply through our website to get the best chance at landing that Senior ML Engineer position. It’s the quickest way to get your application in front of the right people!
We think you need these skills to ace Senior ML Engineer — Production-Scale AI Defence (Hybrid) in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior ML Engineer. Highlight your experience with ML frameworks like TensorFlow or PyTorch, and don’t forget to showcase your cloud platform expertise. We want to see how your skills align with our mission in the defence sector!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in defence and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a production-grade ML system or a cool tool you built, we want to know about your hands-on experience. Include links or descriptions that demonstrate your technical prowess.
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, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at NLP PEOPLE
✨Know Your ML Lifecycle
Make sure you can confidently discuss the full machine learning lifecycle. Brush up on your experience with frameworks like TensorFlow and PyTorch, and be ready to share specific examples of how you've operationalised models in the past.
✨Showcase Your Technical Leadership
Prepare to demonstrate your engineering leadership skills. Think of instances where you've led technical scoping or architectural decisions for ML systems. Highlight how you’ve mentored junior engineers and contributed to shaping a positive engineering culture.
✨Communicate Clearly with Non-Technical Stakeholders
Since this role involves acting as a trusted advisor, practice translating complex technical concepts into simple, actionable strategies. Be ready to explain your thought process in a way that resonates with both technical teams and senior stakeholders.
✨Familiarise Yourself with Cloud Platforms
Get comfortable discussing your hands-on experience with cloud platforms like AWS, Azure, or GCP. Be prepared to talk about architecture, security, and how you've used container tools like Docker and Kubernetes to manage applications at scale.
