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- 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
Contact Detail:
Mind Foundry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer - National Security (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and national security. Attend meetups, webinars, or conferences where you can connect with potential employers and showcase your passion for AI/ML.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your best work in machine learning. Whether it's prototypes or production-ready solutions, having tangible examples will make you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews! Brush up on your ML algorithms and be ready to discuss how you've applied them in real-world scenarios. Practising coding challenges can also help you feel more confident.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our mission. Tailor your application to reflect your understanding of the challenges in national security and how your skills can contribute.
We think you need these skills to ace Senior Machine Learning Engineer - National Security (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your experience in AI/ML systems, especially any projects related to National Security or complex environments.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about tackling National Security challenges. Share specific examples of how you've translated client problems into machine learning solutions, showcasing your leadership and technical skills.
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Mention the ML approaches you’ve worked with, any relevant tools or frameworks, and how you’ve deployed solutions in production. We want to see your hands-on experience!
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 out on any important updates during the process. Let’s get started!
How to prepare for a job interview at Mind Foundry
✨Know Your ML Stuff
Make sure you brush up on the latest machine learning techniques and frameworks relevant to national security. Be ready to discuss your past projects in detail, especially those that involved rapid prototyping and deployment of ML solutions.
✨Understand the Client's Needs
Before the interview, research the company and its clients. Understand the specific challenges they face in national security and think about how your skills can address these issues. This will show that you're not just technically proficient but also client-focused.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your ability to translate client needs into effective ML solutions.
✨Be Ready for Technical Questions
Expect technical questions that test your knowledge of AI/ML algorithms and their applications. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with stakeholders who may not have a technical background.