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- Tasks: Lead AI product development and research, driving innovation in machine learning.
- Company: Top tech solutions provider in the UK with a focus on impactful projects.
- Benefits: Flexible working, strong benefits package, and career growth opportunities.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 8-12 years in AI/ML, strong Python skills, and experience with LLMs.
- Other info: Remote work options available for a better work-life balance.
The predicted salary is between 48000 - 72000 £ per year.
A top technology solutions provider in the UK is looking for an experienced AI/ML professional with 8–12 years of real product delivery experience. The candidate should possess strong skills in Python and modern AI frameworks, as well as expertise with LLMs and orchestration.
The role offers significant career growth prospects, flexible working arrangements, and a strong benefits package focused on employee wellbeing, financial stability, and professional development.
Senior AI Product & Research Engineer - Remote & Impactful employer: Version 1
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Product & Research Engineer - Remote & Impactful
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for new opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects, especially those involving Python and LLMs. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and scenarios. Practice explaining complex concepts in simple terms, as this shows your depth of knowledge and ability to communicate effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles that match your expertise. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior AI Product & Research Engineer - Remote & Impactful
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and product delivery. We want to see how your skills in Python and modern AI frameworks align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your expertise with LLMs can make an impact at StudySmarter. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any exciting AI projects, don’t hold back! Share specific examples that demonstrate your skills and the results you achieved. We love seeing real-world applications of your work.
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 impactful role. Let’s get started!
How to prepare for a job interview at Version 1
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML concepts, especially around LLMs and orchestration. Be ready to discuss your past projects in detail, showcasing how you've applied Python and modern AI frameworks to deliver real products.
✨Showcase Your Experience
With 8–12 years of experience, you’ve got a lot to talk about! Prepare specific examples of your product delivery successes. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Ask Insightful Questions
Interviews are a two-way street. Prepare thoughtful questions about the company’s AI strategy, team dynamics, and growth opportunities. This shows your genuine interest and helps you assess if the role aligns with your career goals.
✨Emphasise Flexibility and Wellbeing
Since the role offers flexible working arrangements and focuses on employee wellbeing, be prepared to discuss how you manage work-life balance and contribute to a positive team environment. This will resonate well with the company's values.