Defence ML Engineer: Production AI for Critical Security in Oxford

Defence ML Engineer: Production AI for Critical Security in Oxford

Oxford Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Mind Foundry

At a Glance

  • Tasks: Design and deploy cutting-edge ML solutions for Defence and National Security.
  • Company: Mind Foundry, a leader in innovative AI technology.
  • Benefits: Hybrid work options, travel opportunities, and a chance to work on impactful projects.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a mission-driven team and contribute to critical security applications.
  • Qualifications: Experience in machine learning and eligibility for UK Security Vetting.

The predicted salary is between 63000 - 77000 £ per year.

Mind Foundry is seeking a Machine Learning Engineer to design and deploy production-ready ML solutions for Defence and National Security applications.

You will prototype, explore, and deploy ML approaches from concept to live operation in collaboration with product managers, ML scientists, and engineers.

The role involves travel to client sites or hybrid work from our Oxford office, with UK Security Vetting (SC) eligibility required or in process.

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Defence ML Engineer: Production AI for Critical Security in Oxford employer: Mind Foundry

Mind Foundry is an exceptional employer, offering a dynamic work environment in Summertown, Oxford, where employees can engage in meaningful projects that leverage advanced AI to address critical challenges in Defence and National Security. With a strong emphasis on personal and professional development, competitive compensation, and a collaborative culture, team members are empowered to shape their careers while making a tangible impact in the Air domain. The company's commitment to innovation and teamwork ensures that every employee has the opportunity to contribute to high-stakes missions alongside a supportive, multidisciplinary team.

Mind Foundry

Contact Details:

Mind Foundry Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Defence ML Engineer: Production AI for Critical Security in Oxford

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mind Foundry or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mind Foundry.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mind Foundry.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mind Foundry that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Defence ML Engineer: Production AI for Critical Security in Oxford

Machine Learning
Production-Ready Solutions
Prototyping
Collaboration
Deployment
Concept Development
Client Engagement

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mind Foundry.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mind Foundry and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Mind Foundry

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mind Foundry uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.