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- Tasks: Design and develop machine learning models for national security applications.
- Company: Global cyber and intelligence firm based in London.
- Benefits: Full-time role with flexible core hours for work-life balance.
- Why this job: Lead innovative projects in responsible AI and mentor junior colleagues.
- Qualifications: Experience in machine learning and strong collaboration skills.
- Other info: Opportunity to make a real impact in national security.
The predicted salary is between 48000 - 72000 £ per year.
A global cyber and intelligence firm is seeking a Senior Machine Learning Engineer based in London to design and develop machine learning models for national security applications. The ideal candidate will collaborate closely with various teams and take a lead role in mentoring junior colleagues. This position offers a full-time opportunity with a strong focus on responsible AI practices and has core hours flexibility for work-life balance.
Senior ML Engineer: GenAI in Production (AWS) in London employer: BAE Systems Digital Intelligence
Contact Detail:
BAE Systems Digital Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: GenAI in Production (AWS) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or attend industry meetups. Building connections can give us insider info and might even lead to a referral.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your machine learning projects, especially those related to national security or responsible AI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on technical questions and behavioural scenarios that highlight your leadership and mentoring abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior ML Engineer: GenAI in Production (AWS) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models, especially in national security applications. We want to see how your skills align with our focus on responsible AI practices.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team. Don’t forget to mention any mentoring experience you have, as we value collaboration and leadership.
Showcase Relevant Projects: Include specific projects or achievements that demonstrate your expertise in ML engineering. We love seeing real-world applications of your work, especially if they relate to AWS or security.
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!
How to prepare for a job interview at BAE Systems Digital Intelligence
✨Know Your ML Models Inside Out
Make sure you’re well-versed in the latest machine learning models, especially those relevant to national security applications. Be ready to discuss your past projects and how you’ve applied these models in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, prepare examples that highlight your teamwork and collaboration skills. Think of specific instances where you successfully worked with others to achieve a common goal.
✨Emphasise Responsible AI Practices
Given the focus on responsible AI, be prepared to discuss ethical considerations in machine learning. Share your thoughts on how to implement responsible AI practices in your work and any experiences you have in this area.
✨Mentorship Matters
As a senior engineer, mentoring junior colleagues will be part of your role. Think about your mentoring style and prepare to share how you’ve supported others in their professional development in previous positions.
