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- Tasks: Lead the design of AI solutions and engage with stakeholders in a hybrid role.
- Company: Top defence and aerospace company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working arrangements, and professional development opportunities.
- Why this job: Make a real impact in defence tech while leading exciting machine learning projects.
- Qualifications: Experience in machine learning projects and proficiency in Python required.
- Other info: Join a dynamic team with great career growth potential.
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 England 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 England
✨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! In your conversations with potential employers, highlight your experience in leading teams and delivering successful machine learning projects. They want to see that you can guide others while driving innovation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are passionate about AI solutions in the defence sector.
We think you need these skills to ace Security-Cleared ML Research Leader | Hybrid Role in England
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 to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
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 you can be about your contributions and the outcomes, the better!
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples that highlight your experience in leading teams or projects. Think about challenges you've faced and how you motivated your team to overcome them.
✨Engage with Stakeholders
Stakeholder engagement is key in this role. Be prepared to discuss how you've successfully communicated complex technical concepts to non-technical audiences. This will show your ability to bridge the gap between tech and business.
✨Embrace the Hybrid Environment
With a hybrid working model, it's important to demonstrate your adaptability. Share experiences where you've thrived in both remote and in-person settings, and how you maintain productivity and collaboration in each.
