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- Tasks: Develop machine learning models for national security using AWS infrastructure.
- Company: Leading defence technology firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team making a real impact in national security through AI.
- Qualifications: Expertise in ML frameworks, MLOps tooling, and strong problem-solving skills.
- Other info: Collaborative environment with a mission-driven approach.
The predicted salary is between 48000 - 72000 £ per year.
A leading defense technology firm is looking for a Senior ML Engineer in London to develop machine learning models that support national security objectives. You will work within a collaborative team, utilizing AWS-based infrastructure to design, develop, and transition ML solutions into operational systems. The position demands expertise in ML frameworks, MLOps tooling, and a strong problem-solving mindset. Join this impactful team to pioneer AI adoption for national security.
Senior ML Engineer — National Security AI, Hybrid UK in London employer: BAE Systems
Contact Detail:
BAE Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — National Security AI, Hybrid UK in London
✨Tip Number 1
Network like a pro! Reach out to folks in the defence tech space, especially those working on ML projects. A friendly chat can open doors and give you insights that might just land you that Senior ML Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those relevant to national security. This will not only demonstrate your expertise but also make you stand out when we’re looking for someone who can hit the ground running.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Expect technical questions that challenge your understanding of ML frameworks and MLOps tooling. We want to see how you tackle real-world problems, so practice makes perfect!
✨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, it shows you’re genuinely interested in joining our impactful team at the forefront of AI for national security.
We think you need these skills to ace Senior ML Engineer — National Security AI, Hybrid UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML frameworks and MLOps tooling. We want to see how your skills align with our mission in national security, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in national security and how your problem-solving mindset can contribute to our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any machine learning projects, especially those related to operational systems, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work!
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 this exciting opportunity. Don’t miss out on joining our impactful team!
How to prepare for a job interview at BAE Systems
✨Know Your ML Frameworks
Make sure you brush up on the machine learning frameworks relevant to the role. Be prepared to discuss your experience with them, especially in the context of national security applications. This shows you’re not just familiar with the tech but understand its implications.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your strong problem-solving mindset, which is crucial for this position.
✨Familiarise Yourself with AWS
Since the role involves AWS-based infrastructure, make sure you know the ins and outs of AWS services related to ML. Be ready to discuss how you’ve used these tools in past projects and how they can be applied to enhance national security efforts.
✨Understand the Impact of Your Work
Research the current trends in AI and national security. Be prepared to discuss how your work as a Senior ML Engineer can contribute to broader security objectives. This shows that you’re not just technically skilled but also aligned with the company’s mission.
