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For Companies At a Glance
- Tasks: Lead AI teams, develop machine learning models, and oversee software engineering projects.
- Company: Leading tech firm in Cambridge with a focus on innovation.
- Benefits: Competitive salary, career growth, and opportunities to mentor others.
- Why this job: Make a real impact in AI while leading talented teams and driving innovation.
- Qualifications: 5+ years in ML/AI, strong Python skills, and leadership experience.
- Other info: Dynamic work environment with a focus on collaboration and technical excellence.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm located in Cambridge is seeking an AI Team Lead to oversee machine learning and software engineering teams while contributing to model development and architecture.
The ideal candidate should have over 5 years of experience in ML/AI, strong Python skills, and a track record of deploying models into production.
This role includes responsibilities like:
- Leading AI solution development
- Mentoring team members
- Collaborating with stakeholders to align business needs with technical execution
Excellent communication and leadership skills are essential.
AI Team Lead - Hands-On ML & Production Architect in Cambridge employer: Stratasys Ltd
Contact Detail:
Stratasys Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Team Lead - Hands-On ML & Production Architect in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups or webinars, and don’t be shy about asking for introductions. 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 and any models you've deployed. This is your chance to demonstrate your hands-on experience and technical prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and communication skills. Be ready to discuss how you’ve mentored team members and aligned technical solutions with business needs. Practice makes perfect, so do some mock interviews!
✨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 can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Team Lead - Hands-On ML & Production Architect in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML/AI and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the AI Team Lead position. Share your vision for leading teams and how you’ve successfully deployed models in the past.
Showcase Leadership Skills: Since this role involves mentoring and leading teams, make sure to highlight any leadership experiences you have. We love to see examples of how you've guided others and collaborated with stakeholders.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Stratasys Ltd
✨Know Your ML Inside Out
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects in detail, especially those where you've deployed models into production. This will show your hands-on experience and understanding of the field.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership abilities. Think about times when you've mentored team members or led a project. Being able to articulate your approach to leading teams and aligning technical execution with business needs will set you apart.
✨Master Python and Technical Questions
Since strong Python skills are a must, be prepared for technical questions that test your coding abilities. Practise coding challenges and be ready to explain your thought process as you solve problems. This will demonstrate your technical prowess and problem-solving skills.
✨Communicate Clearly and Confidently
Excellent communication is key for this role. Practise explaining complex AI concepts in simple terms, as you may need to collaborate with stakeholders who aren't technically inclined. Clear communication will showcase your ability to bridge the gap between technical and non-technical teams.
