Deep Learning Researcher

Deep Learning Researcher

London Full-Time 57600 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team in applying deep learning to real-world challenges.
  • Company: Join a pioneering tech firm with a strong vision for AI innovation.
  • Benefits: Enjoy remote work options and competitive compensation with significant upside.
  • 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 is possible for the right fit.

The predicted salary is between 57600 - 84000 £ 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 offers a supportive work culture that values innovation and mentorship, alongside competitive compensation and the flexibility of remote work options. As a Director-level researcher, you will play a crucial role in defining research priorities and leading a talented team, making a meaningful impact in the field 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 deep learning field. Attend conferences, webinars, and workshops where you can meet influential figures and potential collaborators. Building these connections can help you get noticed and may lead to referrals.

✨Tip Number 2

Engage with the latest research and trends in deep learning. Follow key publications and thought leaders on platforms like Twitter or LinkedIn. This will not only keep you informed but also provide you with talking points during interviews.

✨Tip Number 3

Showcase your leadership experience in AI research. Prepare examples of how you've successfully led teams or projects, particularly those that resulted in significant advancements or publications. This will demonstrate your capability for the director-level role.

✨Tip Number 4

Consider reaching out directly to current employees or alumni from the company. They can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews and discussions.

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
Machine Learning Algorithms
Problem-Solving Skills
Communication Skills
Project Management
Knowledge of AI Ethics
Networking within Academic Circles
Adaptability to Emerging Technologies
Strategic Thinking

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 led teams, defined research priorities, or collaborated with influential figures in the AI field.

Craft a Compelling Cover Letter: In your cover letter, express your passion for applying advanced AI to real-world problems. Discuss your vision for the role and how your background aligns with the company's goals, particularly in shaping research direction and culture.

Highlight Academic Ties: If you have connections to top-tier institutions, make sure to mention them. This could include collaborations, mentorships, or any academic contributions that demonstrate your standing in the field of deep learning.

Showcase Measurable Impact: When detailing your past work, focus on projects that had a measurable impact. Use specific metrics or outcomes to illustrate your contributions to the field, such as publications with high H-index or influential co-authorships.

How to prepare for a job interview at Durlston Partners

✨Showcase Your Leadership Experience

As a Director-level researcher, 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 Ties

Since the company values connections with top-tier institutions, mention any collaborations or mentorships with influential figures in the AI field. This will showcase your credibility and network within the academic community.

✨Highlight Your Impactful Work

Prepare to discuss your H-index and any co-authored work that has made a measurable impact in the deep learning space. This will help illustrate your contributions to the field and your ability to push boundaries.

✨Align with Their Vision

Research the company's long-term vision for their deep learning initiative. During the interview, express how your goals align with theirs and how you can contribute to steering the future of AI in a real-world setting.

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