At a Glance
- Tasks: Develop cutting-edge AI solutions and push the boundaries of deep learning research.
- Company: High-impact tech company focused on AI-powered analytics software.
- Benefits: Competitive salary, stock options, 25 days holiday, and mental health support.
- Other info: Flexible hybrid working with excellent career growth opportunities.
- Why this job: Join a dynamic team and make a real impact in the AI field.
- Qualifications: 3+ years deep learning experience and expertise in PyTorch.
The predicted salary is between 70000 - 90000 £ per year.
On behalf of our client, we’re hiring a Senior Deep Learning Research Engineer to develop cutting‑edge AI solutions in a high‑impact tech environment. This is a permanent role with flexible UK‑based working and competitive equity participation.
Our client builds AI‑powered analytics software deployed globally, processing millions of data points to drive automation and transparency across industrial operations.
What You’ll Do:
- Push boundaries of deep learning research, implementing latest techniques in real‑world environments.
- Build robust models using active learning and semi‑supervised methods.
- Develop internal automation tools while collaborating across multidisciplinary teams.
Must‑Haves:
- 3+ years industry deep learning experience
- PyTorch expertise with modern architectures
- Experience in active learning, model robustness
- First Author Publications at NeurIPS, ICML, CVPR, or ICLR
Package: Competitive London‑based salary + stock options, 25 days holiday, learning budget, enhanced parental leave, mental health support.
Location: UK‑based, hybrid working (weekly/monthly office visits based on location)
Apply now for confidential discussion!
Senior Deep Learning Research Engineer in London employer: erg group
Our client is an exceptional employer, offering a dynamic and innovative work environment where cutting-edge AI solutions are developed. With a strong focus on employee growth, they provide competitive salaries, stock options, and a generous benefits package including 25 days of holiday and mental health support. The hybrid working model allows for flexibility while fostering collaboration across multidisciplinary teams, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Deep Learning Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects, especially those using PyTorch. This will give you an edge and demonstrate your hands-on experience when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in deep learning. Be ready to discuss your past projects and how you've implemented cutting-edge techniques. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you throughout the process, so don’t hesitate to reach out if you need any help.
We think you need these skills to ace Senior Deep Learning Research Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Deep Learning Research Engineer. Highlight your experience with PyTorch and any relevant publications. We want to see how your skills align with the cutting-edge AI solutions we’re developing!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about deep learning and how your background makes you a perfect fit for our team. Let us know what excites you about pushing the boundaries of AI.
Showcase Your Projects:If you’ve worked on any interesting projects, especially those involving active learning or model robustness, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at erg group
✨Know Your Deep Learning Stuff
Make sure you brush up on the latest deep learning techniques and frameworks, especially PyTorch. Be ready to discuss your past projects and how you've implemented cutting-edge methods in real-world scenarios.
✨Show Off Your Research
Since publications at top conferences like NeurIPS or ICML are a must-have, be prepared to talk about your research. Highlight your contributions and the impact they had on the field, and don’t shy away from discussing any challenges you faced.
✨Collaboration is Key
This role involves working with multidisciplinary teams, so be ready to share examples of how you've successfully collaborated in the past. Discuss how you communicate complex ideas to non-technical team members and how you value diverse perspectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI solutions and their approach to deep learning. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
