At a Glance
- Tasks: Lead the development of cutting-edge AI systems for diverse clients in the defence sector.
- Company: Join a forward-thinking team focused on ethical and reliable AI solutions.
- Benefits: Enjoy unlimited annual leave, private healthcare, and flexible working options.
- Other info: Mentor junior engineers and thrive in a dynamic, high-growth environment.
- Why this job: Make a real impact with innovative technology while shaping the future of defence.
- Qualifications: 5+ years in machine learning, 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 Machine Learning Engineer 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, providing you with the opportunity to work on high-impact projects that contribute to national security. Our London office offers a flexible working culture, unlimited annual leave, and comprehensive benefits including private healthcare and enhanced parental leave, ensuring a supportive atmosphere for your professional growth and personal well-being. Join us to collaborate with talented professionals and make a meaningful impact while enjoying the balance of remote and on-site work across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical teams and clients.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates like you. Plus, it’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Machine Learning Engineer in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your expertise in ML frameworks like TensorFlow or PyTorch, and don’t forget to mention your experience with cloud platforms and container tools!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions in the defence sector and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, demonstrating your hands-on experience with ML systems can really set you apart.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at NLP PEOPLE
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially around the frameworks mentioned like TensorFlow and PyTorch. Be ready to discuss your experience with the full ML lifecycle and how you've operationalised models in past projects.
✨Showcase Your Leadership Skills
Since this role involves leading technical decisions and mentoring junior engineers, prepare examples of how you've taken charge in previous roles. Think about times when you guided a team through complex challenges or made impactful architectural decisions.
✨Communicate Clearly
You’ll need to explain complex concepts to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely. Use real-world examples to demonstrate how you’ve successfully communicated technical information in the past.
✨Be Ready for Client-Facing Scenarios
As a trusted advisor to clients, you should be prepared to discuss how you would approach client interactions. Think about how you can translate technical jargon into actionable strategies that meet client needs, and be ready to share relevant experiences.
