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- Tasks: Join a team tackling cutting-edge challenges in AI and machine learning security.
- Company: Innovative AI cybersecurity startup based in London.
- Benefits: Competitive compensation, flexible hybrid working model, and collaboration with elite researchers.
- Why this job: Shape the future of intelligent systems while advancing your ML research skills.
- Qualifications: MSc or PhD in Computer Science or related field, with strong experience in LLMs.
- Other info: Work in a dynamic environment near King’s Cross with excellent career growth opportunities.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Direct message the job poster from Darcie Talent
A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning.
You will play a key role in designing, implementing, and advancing cutting‑edge methods in:
- Optimisation for Deep Learning
You’ll work alongside a team of world‑class researchers, developing new approaches, publishing at top‑tier venues, and translating research into impactful real‑world applications.
Experience Required
- A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field
- A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) This is essential
- Deep expertise in at least one of: RL, LLMs, or large‑scale Optimisation for deep learning
- Good programming skills in Python and experience with deep learning frameworks
- A passion for advancing AI research and contributing to the global ML community
Key selling points
- Work on cutting‑edge AI challenges with a talented, multidisciplinary team
- Collaborate with leading academic and industry partners
- Access to high‑performance computing resources
- Publish your work at the leading conferences
- VISA sponsorship available
If you’re driven by curiosity, thrive in a research‑focused environment, and want to contribute to the next wave of AI innovation, then please apply today.
London, England, United Kingdom
#J-18808-Ljbffr
Machine Learning Researcher employer: Darcie Talent
Contact Detail:
Darcie Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with ML researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving transformer-based models or LLMs. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past research and publications in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with transformer-based models and deep learning frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about ML research and cybersecurity. Share specific examples of your work and how it relates to our mission. Keep it engaging and personal!
Showcase Your Publications: If you've got a proven publication record, make sure to highlight it! Mention your contributions to top-tier conferences like NeurIPS or ICML. This will help us see your expertise and commitment to advancing the field.
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. Don’t miss out on joining our innovative team!
How to prepare for a job interview at Darcie Talent
✨Know Your Models
Make sure you brush up on transformer-based models and large language models (LLMs). Be ready to discuss your hands-on experience with these technologies, as well as any projects you've worked on that showcase your skills. This will show your passion and expertise in the field.
✨Showcase Your Publications
If you've published at top-tier conferences like NeurIPS or ICML, be prepared to talk about your research. Highlight the key findings and how they relate to the role. This not only demonstrates your knowledge but also your commitment to advancing machine learning.
✨Demonstrate Your Coding Skills
Since proficiency in Python and deep learning frameworks is crucial, consider preparing for a coding challenge or technical questions. Brush up on your PyTorch and TensorFlow skills, and be ready to explain your thought process while solving problems.
✨Understand the Company’s Vision
Research the startup's mission and recent developments in AI cybersecurity. Being able to articulate how your skills align with their goals will set you apart. Show enthusiasm for their work and express how you can contribute to shaping the future of intelligent, secure systems.
