Machine Learning Engineer - National Security (Gloucestershire)
Machine Learning Engineer - National Security (Gloucestershire)

Machine Learning Engineer - National Security (Gloucestershire)

Gloucester Full-Time 50000 - 70000 ÂŁ / year (est.) No home office possible
Mind Foundry

At a Glance

  • Tasks: Develop AI/ML systems to tackle critical National Security challenges.
  • Company: Join a supportive team at Mind Foundry, leading in applied AI.
  • Benefits: Enjoy 25 days leave, private healthcare, and a competitive salary.
  • Other info: Dynamic work environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact on national security while growing your tech skills.
  • Qualifications: Degree in STEM or equivalent experience; proficiency in Python required.

The predicted salary is between 50000 - 70000 ÂŁ 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.

Core Skills & Experience:

  • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience).
  • Demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well‑tested, and well‑documented code suitable for long‑term ownership and handover.
  • Hands‑on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures.
  • Be able to work with state‑of‑the‑art ML libraries to deliver powerful results quickly.
  • Comfortable working in ambiguous, fast‑moving environments, embedded with customers or delivery teams.
  • Hold existing Developed Vetting (DV) level clearance, or be willing and eligible to apply and obtain UK security clearance to Developed Vetting (DV) level.

Nice to have:

  • Prior experience working with government customers, defence contractors, or in military environments.
  • Ability to write technical material (documentation, published papers, internal technical notes etc).
  • Experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc).

Why work with us:

We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You’ll enjoy a competitive compensation package and great benefits such as:

  • 25 days of annual leave plus Bank Holidays
  • Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution)
  • Private Healthcare (including dental and optical cover)
  • Group Life Cover at x3 your annual salary once you pass your probation period
  • Enhanced Paid Parental and Sickness Leave
  • Workplace Nursery Scheme
  • Pet friendly office
  • Professional and personal development

Essential requirements:

  • You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website.
  • Be expected to work primarily on site at our client’s sites in Gloucestershire. Please consider your commute when applying.

Machine Learning Engineer - National Security (Gloucestershire) employer: Mind Foundry

Mind Foundry is an exceptional employer that prioritises the growth and development of its employees, offering a supportive work culture where innovation thrives. As a Machine Learning Engineer in Gloucestershire, you'll have the opportunity to tackle critical National Security challenges while enjoying a competitive benefits package, including generous annual leave, private healthcare, and professional development support. Join us to make a meaningful impact in a dynamic environment that values your contributions and fosters your career aspirations.
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 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 put in a good word for you.

✨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 crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!

✨Tip Number 4

Don’t forget to 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 are genuinely interested in joining our team.

We think you need these skills to ace Machine Learning Engineer - National Security (Gloucestershire)

Machine Learning
Python
Production Code Development
Docker
Linux
CI/CD
MLOps
Cloud Platforms
Model Serving Architectures
Natural Language Processing (NLP)
Large Language Models (LLMs)
Data Processing
Streaming (Spark, Kafka)
Microservices (Flask, FastAPI)
Interactive Visualisations (Streamlit, Plotly, Gradio)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience, especially in AI/ML systems and any work with national security challenges. We want to see how your skills align with what we do!

Showcase Your Projects: Include specific projects that demonstrate your proficiency in programming languages like Python and your experience with production infrastructure. We love seeing real-world applications of your skills, so don’t hold back!

Craft a Compelling Cover Letter: Your cover letter should tell us why you’re passionate about working in national security and how you can contribute to our team. Be genuine and let your personality shine through – we want to get to know you!

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’s super easy – just follow the prompts!

How to prepare for a job interview at Mind Foundry

✨Know Your ML Fundamentals

Brush up on your machine learning concepts and algorithms. Be ready to discuss how you’ve applied these in real-world scenarios, especially in high-stakes environments like national security.

✨Showcase Your Coding Skills

Prepare to demonstrate your programming prowess, particularly in Python. Bring examples of clean, maintainable code you've written, and be ready to explain your thought process behind it.

✨Familiarise with Tools and Technologies

Get comfortable with the tools mentioned in the job description, such as Docker, CI/CD, and cloud platforms. Being able to discuss your hands-on experience with these will show you're ready for the production environment.

✨Communicate Clearly and Confidently

Practice explaining complex ML concepts in simple terms. This is crucial when working with multidisciplinary teams and customers who may not have a technical background.

Machine Learning Engineer - National Security (Gloucestershire)
Mind Foundry
Location: Gloucester

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