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- Tasks: Transform real-world problems into reliable machine learning systems for national security.
- Company: Specialist AI start-up focused on high-stakes environments.
- Benefits: Competitive salary up to £98,000 and opportunities for professional growth.
- Other info: Join a caring team dedicated to quality and real-world applications.
- Why this job: Make a meaningful impact with your work in applied machine learning.
- Qualifications: Experience in building ML systems and proficiency in Python.
The predicted salary is between 98000 - 98000 £ per year.
Few&Far is working with a specialist AI company building machine learning systems used in genuinely high-stakes environments. This is applied ML in the real world - messy data, limited infrastructure, and problems where outcomes actually matter.
They’re looking for someone who enjoys taking ownership, working closely with end-users, and building systems that hold up in production.
What you’ll be doing
- Working directly with users to understand problems and shape solutions
- Rapidly prototyping ideas, then turning them into production-ready systems
- Deploying models in environments with constraints (compute, latency, connectivity)
- Writing clean, maintainable Python code that others can build on
- Contributing to technical decisions and, over time, supporting more junior engineers
What they’re looking for
- Strong experience delivering machine learning into production
- Confidence with Python and modern ML tooling (Docker, CI/CD, cloud, MLOps)
- A pragmatic mindset — able to balance speed, quality, and real-world constraints
- Comfort working with non-technical stakeholders and end-users
- Eligibility for UK SC or DV clearance
Nice to have
- Experience in secure or government environments is useful, but not essential.
- Exposure to areas like NLP, computer vision, LLMs, APIs, or data pipelines will help — but the core requirement is strong applied ML experience.
Why this role?
It’s a chance to work on problems that are genuinely meaningful, in a team that cares about building things properly - not just quickly. If you enjoy applied ML, ownership, and seeing your work used in the real world, this is a strong one to consider.
Machine Learning Engineer - National Security AI Start-Up - Up to £98,000 in England employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - National Security AI Start-Up - Up to £98,000 in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common ML scenarios and problem-solving questions. Be ready to discuss how you've tackled real-world challenges and how you can apply your skills to their specific needs.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Machine Learning Engineer - National Security AI Start-Up - Up to £98,000 in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning systems, especially in production environments. We want to see how you've tackled real-world problems and what tools you've used, like Python and Docker.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for applied ML and how you take ownership of projects. Share specific examples of your work and how it aligns with the role. We love seeing enthusiasm!
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to work with non-technical stakeholders and turn messy data into actionable solutions. We’re looking for someone who can bridge the gap between tech and real-world applications.
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 don’t miss any important updates about the process. Let’s get started!
How to prepare for a job interview at Few&Far
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and tools. Be ready to discuss your past projects, especially those where you deployed models in production. They’ll want to see how you’ve tackled messy data and real-world constraints.
✨Understand the User's Needs
Since this role involves working closely with end-users, it’s crucial to demonstrate your ability to understand their problems. Prepare examples of how you've collaborated with non-technical stakeholders to shape solutions that meet their needs.
✨Showcase Your Coding Skills
Be prepared to talk about your Python coding experience. They’ll likely ask about your approach to writing clean, maintainable code. Consider bringing a portfolio or examples of your work that highlight your coding style and best practices.
✨Emphasise Your Pragmatic Mindset
This role requires balancing speed, quality, and real-world constraints. Think of scenarios where you had to make tough decisions and prioritise effectively. Share these experiences to show that you can thrive in ambiguous environments.