Deep Learning Researcher

Deep Learning Researcher

Derby Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team in applying advanced AI to real-world challenges.
  • Company: Join a top tech firm pioneering deep learning research with a long-term vision.
  • Benefits: Enjoy competitive pay, remote work options, and significant career growth potential.
  • Why this job: Shape the future of AI while influencing research direction and team culture.
  • Qualifications: Must have leadership experience in elite AI labs and strong academic ties.
  • Other info: Ideal for candidates in European time zones, but remote work is possible.

The predicted salary is between 72000 - 108000 £ per year.

Director of Deep Learning Research – Steer the Future of AI in a Real-World Setting

Location: Europe-based (remote optional)

Comp: Top of market (significant upside)

We’re working with a leading technology-driven firm building a new deep learning research initiative with real backing and long-term vision. This is a senior leadership role—not a trading seat—but focused on applying advanced AI to meaningful, complex problems at scale.

They’re looking to bring on a Director-level researcher to guide the team, define research priorities, and push the boundaries of deep learning in an applied context.

What they’re looking for:

  • Experience leading researchers in elite AI labs
  • Academic ties to top-tier institutions
  • H-index well above field average
  • Mentored or collaborated with foundational figures in the space
  • Co-author on influential work with measurable impact

You’d be joining early, helping shape both the research direction and the culture of the group. Strong preference for European time zones, but open to remote for the right person.

Reach out if you—or someone exceptional you know—might want to explore this.

Deep Learning Researcher employer: Durlston Partners

Join a pioneering technology-driven firm that is at the forefront of deep learning research, where you will have the opportunity to shape the future of AI in a real-world setting. With a strong emphasis on employee growth and collaboration, this company fosters a culture of innovation and mentorship, providing significant upside in compensation and the flexibility of remote work options. As a leader in this initiative, you will not only guide a talented team but also contribute to meaningful projects that push the boundaries of AI.
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Contact Detail:

Durlston Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Deep Learning Researcher

✨Tip Number 1

Network with professionals in the AI and deep learning community. Attend conferences, webinars, and workshops where you can meet influential figures and discuss your research interests. Building these connections can lead to valuable recommendations and insights about the role.

✨Tip Number 2

Engage with current trends and breakthroughs in deep learning by following relevant journals and publications. This will not only enhance your knowledge but also provide you with talking points during interviews, showcasing your passion and commitment to the field.

✨Tip Number 3

Consider reaching out to existing team members or leaders in similar roles at the company. A casual chat can give you insights into the company culture and expectations, helping you tailor your approach when applying.

✨Tip Number 4

Prepare to discuss your leadership style and how you've successfully guided teams in the past. Be ready to share specific examples of how you've defined research priorities and driven impactful projects, as this will be crucial for a director-level position.

We think you need these skills to ace Deep Learning Researcher

Deep Learning Expertise
Leadership Skills
Research Methodology
Collaboration and Mentorship
Strong Publication Record
Advanced Statistical Analysis
AI Ethics and Safety
Project Management
Communication Skills
Problem-Solving Skills
Technical Proficiency in AI Frameworks
Networking within Academic Circles
Strategic Thinking
Adaptability to Emerging Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your leadership experience in deep learning research. Emphasise any roles where you've guided teams or defined research priorities, as well as your academic ties to top-tier institutions.

Craft a Compelling Cover Letter: In your cover letter, discuss your vision for deep learning research and how you plan to apply advanced AI to real-world problems. Mention specific projects or collaborations that demonstrate your influence in the field.

Highlight Measurable Impact: When detailing your past work, focus on measurable outcomes and impacts of your research. Use metrics to showcase your contributions, such as publications with high H-index or successful mentorship experiences.

Showcase Collaboration: Mention any collaborations with foundational figures in the AI space. This will not only highlight your network but also your ability to work alongside leading experts, which is crucial for this role.

How to prepare for a job interview at Durlston Partners

✨Showcase Your Leadership Experience

As a Director of Deep Learning Research, it's crucial to highlight your experience in leading teams. Be prepared to discuss specific examples of how you've guided researchers, defined research priorities, and fostered a collaborative environment.

✨Demonstrate Your Academic Connections

Given the emphasis on academic ties, make sure to mention any collaborations with top-tier institutions. Discuss your H-index and how your work has contributed to the field, showcasing your influence and credibility.

✨Prepare for Technical Questions

Expect in-depth technical questions related to deep learning and AI applications. Brush up on recent advancements in the field and be ready to discuss how you would apply these to real-world problems, demonstrating your innovative thinking.

✨Articulate Your Vision for the Future

Since this role involves shaping the research direction, be prepared to share your vision for the future of deep learning. Discuss potential research areas you find exciting and how you plan to push the boundaries of the field in an applied context.

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