At a Glance
- Tasks: Lead the development of AI/ML systems for critical National Security challenges.
- Company: Join a supportive team at Mind Foundry, tackling urgent Defence issues.
- Benefits: Competitive salary, professional growth, and the chance to make a real impact.
- Other info: Work in dynamic environments with opportunities for significant career advancement.
- Why this job: Innovate with cutting-edge technology to enhance national security and resilience.
- Qualifications: Experience in machine learning and strong problem-solving skills required.
The predicted salary is between 70000 - 90000 £ per year.
We’re looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you’ll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You’ll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership 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.
Senior Machine Learning Engineer - National Security (London) 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.
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We think this is how you could land Senior Machine Learning Engineer - National Security (London)
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We think you need these skills to ace Senior Machine Learning Engineer - National Security (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Mind Foundry, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mind Foundry. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
