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- Tasks: Design and build cutting-edge machine learning solutions for National Security challenges.
- Company: Join Mind Foundry, a leader in applied AI and machine learning.
- Benefits: Competitive salary, supportive team, and opportunities for professional growth.
- Other info: Work in a dynamic environment tackling complex, high-impact challenges.
- Why this job: Make a real impact on national security while innovating with advanced technology.
- Qualifications: Experience in machine learning and collaborative problem-solving skills.
The predicted salary is between 50000 - 60000 £ per year.
We’re looking for a Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Machine Learning Engineer, you’ll develop robust, production‑ready machine learning solutions, exploring, prototyping, and deploying ML approaches from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you’ll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most.
Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever‑increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high‑impact real‑world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments.
Key day‑to‑day activities:
- Design and build prototypes and robust, production‑ready ML solutions.
- Work collaboratively with colleagues across the Mind Foundry team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges.
- Maintain and develop a good working knowledge of state‑of‑the‑art ML methods, software tools and implementation methods.
- Write maintainable production code and promote best practices for code quality in a scientific codebase.
- Provide advice and explain core ML concepts to our customers and partners.
Machine Learning Engineer - National Security (Gloucestershire) employer: Mind Foundry
Contact Detail:
Mind Foundry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - National Security (Gloucestershire)
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning and national security fields on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, make sure it highlights your best work. This is your chance to demonstrate your ability to develop robust, production-ready ML solutions.
✨Tip Number 3
Prepare for those interviews! Research common machine learning interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are discussing your knowledge and experience, the better you'll perform!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly. Don’t forget to tailor your application to highlight how your skills align with the role!
We think you need these skills to ace Machine Learning Engineer - National Security (Gloucestershire)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience and skills that align with the job description, especially those related to AI/ML systems and National Security challenges.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a great fit. Don’t forget to mention any specific projects or experiences that relate to the key day-to-day activities.
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills in machine learning and coding. Mention any tools or methods you’re familiar with, and provide examples of how you've applied them in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Mind Foundry
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals before the interview. Be ready to discuss various algorithms, their applications, and the latest trends in AI/ML. This will show that you’re not just familiar with the concepts but also passionate about the field.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've tackled complex problems using ML. Highlight your thought process, the challenges you faced, and how you overcame them. This will demonstrate your ability to innovate and adapt in high-pressure situations.
✨Collaborative Mindset is Key
Since the role involves working with a multidisciplinary team, be ready to talk about your experience collaborating with others. Share examples of how you’ve worked with product managers or software engineers to deliver successful projects, emphasising teamwork and communication.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest developments in national security and how AI/ML is being applied. Being able to discuss current events or advancements in the field will show your enthusiasm and commitment to contributing to critical challenges.