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- Tasks: Lead the design of AI solutions and engage with stakeholders in a hybrid setting.
- Company: Top defence and aerospace firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working, and great 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 strong Python coding skills.
- Other info: Join a dynamic team with a focus on 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the defence and aerospace sector on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Include any AI solutions you've designed and highlight your coding prowess in Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research the company’s recent projects and challenges in the defence and aerospace industry. Be ready to discuss how your experience aligns with their needs and how you can lead their ML initiatives effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Security-Cleared ML Research Leader | Hybrid Role
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 come through.
Showcase Your Stakeholder Engagement Skills: In this role, you'll be working with various stakeholders. Make sure to mention any past experiences where you've successfully engaged with different teams or clients. We value collaboration and communication!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Raytheon
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge before the interview. 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. This will show that you're not just a tech whiz but also a great leader.
✨Engage with Stakeholders
Stakeholder engagement is key in this role, so be prepared to discuss how you've successfully communicated complex technical concepts to non-technical audiences. Share examples of how you’ve built relationships and collaborated with different teams to achieve project goals.
✨Embrace the Hybrid Environment
Since the role is hybrid, think about how you can effectively work both remotely and in-person. Be ready to discuss your strategies for staying productive and connected with your team, as well as any tools you use to facilitate collaboration.
