At a Glance
- Tasks: Lead AI research and develop innovative models for the energy sector.
- Company: Join a leading energy tech platform shaping the future of energy.
- Benefits: Enjoy a significant equity package, flexible hybrid working, and generous leave policies.
- Other info: Welcoming applications from foreign candidates for this dynamic role.
- Why this job: Make a real impact in the energy sector with cutting-edge AI research.
- Qualifications: PhD in Machine Learning and 7+ years of commercial experience required.
The predicted salary is between 90000 - 120000 € per year.
Higher - AI recruitment is seeking a Head of Applied AI Research for a leading energy technology platform in the UK. You will shape the AI research agenda, lead a team of researchers, and create proprietary models impacting the energy sector.
Ideal candidates have a PhD in Machine Learning and 7+ years of experience in a commercial setting. The role offers a significant equity package, flexible hybrid working, and generous leave policies, including 16 weeks maternity leave. This is a hybrid role that welcomes applications from foreign candidates as well.
Head of Applied AI Research — Energy Tech Leader employer: Higher - AI recruitment
As a leading energy technology platform in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and collaboration. Our employees benefit from a flexible hybrid working model, generous leave policies including 16 weeks of maternity leave, and significant equity packages, all while contributing to impactful AI research that shapes the future of the energy sector. Join us to be part of a forward-thinking team that values professional growth and meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Applied AI Research — Energy Tech Leader
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy tech sector and let them know you're on the hunt for a Head of Applied AI Research role. A personal recommendation can make all the difference.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of current trends in AI and energy tech. We want you to showcase your expertise and passion, so practice articulating how your experience aligns with the company's goals.
✨Tip Number 3
Don’t forget to leverage social media! Follow companies you're interested in and engage with their content. This not only keeps you informed but also shows your enthusiasm for the industry.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it helps us keep track of your interest. Plus, who doesn’t love a streamlined process?
We think you need these skills to ace Head of Applied AI Research — Energy Tech Leader
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Head of Applied AI Research. Highlight your PhD and relevant experience in Machine Learning, showcasing how your skills align with the energy tech sector.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in the energy sector and how you can lead our research agenda. Keep it engaging and personal.
Showcase Your Leadership Skills:Since this role involves leading a team, be sure to highlight your leadership experience. Share examples of how you've successfully managed teams or projects in the past, especially in a commercial setting.
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 from us!
How to prepare for a job interview at Higher - AI recruitment
✨Know Your AI Stuff
Make sure you brush up on the latest trends and breakthroughs in applied AI, especially in the energy sector. Be ready to discuss your PhD research and how it relates to real-world applications. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Your Leadership Skills
As a Head of Applied AI Research, you'll be leading a team. Prepare examples of how you've successfully managed teams in the past, particularly in a commercial setting. Highlight your experience in mentoring researchers and driving projects to completion.
✨Prepare for Technical Questions
Expect some deep dives into technical aspects of machine learning and AI models. Brush up on your algorithms, data handling, and model evaluation techniques. Being able to explain complex concepts clearly will impress your interviewers.
✨Understand the Company’s Vision
Research the energy technology platform and understand their mission and values. Be ready to discuss how your vision aligns with theirs and how you can contribute to shaping their AI research agenda. This shows that you're not just looking for a job, but are genuinely interested in being part of their journey.
