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- Tasks: Lead AI solutions design and engage with stakeholders in a hybrid setting.
- Company: Top UK defence and aerospace firm with a focus on innovation.
- Benefits: Competitive salary, flexible working, and professional growth opportunities.
- Why this job: Make a difference in defence tech while leading exciting machine learning projects.
- Qualifications: Experience in machine learning projects and strong Python coding skills.
- Other info: Join a dynamic team with a commitment to cutting-edge technology.
The predicted salary is between 48000 - 72000 £ per year.
A leading defence and aerospace company in the UK is seeking a Data Science and Machine Learning Lead. This role involves technical leadership, the design of AI solutions, and stakeholder engagement in a hybrid working environment.
The ideal candidate should possess significant experience in delivering machine learning projects and coding proficiency in Python, among other qualifications.
The company offers competitive salaries, flexible working arrangements, and ample opportunities for professional development.
Security-Cleared ML Research Leader | Hybrid Role in London employer: Raytheon
Contact Detail:
Raytheon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security-Cleared ML Research Leader | Hybrid Role in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the defence and aerospace sector on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise in machine learning.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills, especially in Python, and be ready to discuss your past projects. We recommend practising common ML interview questions to boost your confidence.
✨Tip Number 3
Showcase your leadership skills! When discussing your experience, highlight instances where you led teams or projects. This will demonstrate your capability to take charge in a hybrid working environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Security-Cleared ML Research Leader | Hybrid Role in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python coding. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how your technical leadership can benefit us. Keep it engaging and personal – we love to see your personality!
Showcase Your Stakeholder Engagement Skills: Since this role involves working with various stakeholders, make sure to mention any experience you have in this area. We’re looking for someone who can communicate complex ideas clearly and effectively, so give us examples!
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. Plus, it’s super easy!
How to prepare for a job interview at Raytheon
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge. Be ready to discuss your past projects in detail, especially those involving Python. The more specific examples you can provide about your technical leadership and AI solutions, the better!
✨Engage with Stakeholders
Since this role involves stakeholder engagement, think about how you’ve successfully communicated complex ideas to non-technical audiences in the past. Prepare a few anecdotes that showcase your ability to bridge the gap between technical and non-technical teams.
✨Show Your Leadership Skills
This position is all about leading projects, so be prepared to talk about your leadership style. Think of examples where you’ve motivated a team or navigated challenges in project delivery. Highlight how you foster collaboration and innovation.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current ML projects or their vision for AI solutions in defence and aerospace. This shows your genuine interest and helps you gauge if the company aligns with your career goals.
