Deep Learning Researcher

Deep Learning Researcher

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

  • Tasks: Lead a team in pioneering deep learning research and tackle complex AI challenges.
  • Company: Join a cutting-edge tech firm with a strong vision for AI innovation.
  • Benefits: Enjoy top market compensation, 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 AI, strong academic ties, and impactful publications.
  • Other info: Ideal candidates are based in Europe but remote options are available for exceptional talent.

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

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 values innovation and collaboration, offering a unique opportunity to lead a deep learning research initiative with significant backing and a long-term vision. With a focus on meaningful applications of AI, the company fosters a dynamic work culture that encourages professional growth and mentorship, making it an ideal environment for those looking to make a substantial impact in the field. Enjoy the flexibility of remote work while being part of a team that is shaping the future of AI in a real-world setting.
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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 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. Follow leading researchers and institutions on social media, read recent publications, and participate in discussions. This will not only enhance your knowledge but also demonstrate your passion and commitment to potential employers.

✨Tip Number 3

Consider reaching out directly to the hiring team or current employees at the company. Express your interest in the position and ask insightful questions about their research initiatives. This proactive approach can set you apart from other candidates.

✨Tip Number 4

Showcase your leadership experience in previous roles. Prepare examples of how you've successfully guided teams, defined research priorities, and contributed to impactful projects. Highlighting these experiences will align well with the expectations 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
Machine Learning Frameworks (e.g., TensorFlow, PyTorch)
Problem-Solving Skills
Communication Skills
Project Management
Networking within Academic Circles
Strategic Thinking
Adaptability to Emerging Technologies
Understanding of AI Ethics

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, and include metrics that showcase your impact in previous positions.

Craft a Compelling Cover Letter: In your cover letter, articulate your vision for deep learning research and how it can be applied to real-world problems. Mention specific projects or collaborations that demonstrate your expertise and academic ties to top-tier institutions.

Highlight Your Publications: List your most influential publications and provide context on their impact within the field. If you have an H-index well above the field average, make sure to mention this as it showcases your contributions to deep learning research.

Showcase Mentorship Experience: If you've mentored or collaborated with foundational figures in AI, highlight these experiences. Discuss how these relationships have shaped your research approach and contributed to your professional development.

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. Prepare specific examples of how you've guided researchers, defined research priorities, and fostered collaboration in previous roles.

✨Demonstrate Your Academic Connections

Given the emphasis on academic ties, be ready to discuss your relationships with top-tier institutions. Mention any collaborations or mentorships with influential figures in the AI field, as this will showcase your credibility and network.

✨Highlight Your Impactful Work

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

✨Express Your Vision for the Future

Since you'll be shaping the research direction, articulate your vision for the future of deep learning. Discuss how you plan to tackle meaningful, complex problems at scale and how you see the role evolving in the coming years.

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