At a Glance
- Tasks: Join a research team to advance AI through innovative machine learning methods.
- Company: Be part of a cutting-edge research team based near King’s Cross.
- Benefits: Enjoy access to high-performance computing and potential VISA sponsorship.
- Other info: Ideal for those passionate about AI and eager to make an impact.
- Why this job: Contribute to groundbreaking AI projects and publish at top-tier conferences.
- Qualifications: PhD in relevant fields and a strong publication record are essential.
The predicted salary is between 43200 - 72000 £ per year.
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:
- LLM's
- 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,)(This is essential )
- Deep expertise in RL 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.
#J-18808-LjbffrMachine Learning Researcher in London employer: Darcie Talent
Join a pioneering research team based near King’s Cross, where you will have the opportunity to work on groundbreaking AI projects alongside world-class researchers. Our collaborative and innovative work culture fosters professional growth, allowing you to publish at top-tier conferences and access high-performance computing resources. With a commitment to advancing AI research and a supportive environment that encourages curiosity, we offer a unique chance to make a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher in London
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend conferences, workshops, or meetups related to ML, especially those where you can meet researchers who have published at top-tier venues like NeurIPS or ICML.
✨Tip Number 2
Engage with online platforms and forums dedicated to machine learning research. Contributing to discussions or sharing your insights on platforms like GitHub or ResearchGate can help you get noticed by potential collaborators or employers.
✨Tip Number 3
Showcase your expertise in reinforcement learning, large language models, or optimisation through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by brushing up on your programming skills in Python and familiarising yourself with deep learning frameworks. Practising coding challenges and discussing your research can demonstrate your problem-solving abilities.
We think you need these skills to ace Machine Learning Researcher in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD and any relevant research experience in Machine Learning, especially focusing on Reinforcement Learning, Large Language Models, or Optimisation for Deep Learning. Include your publication record prominently.
Craft a Strong Cover Letter:Write a cover letter that showcases your passion for AI research and your specific interest in the role. Mention your experience with leading AI conferences and how you can contribute to the team’s projects.
Highlight Technical Skills:Clearly outline your programming skills in Python and any experience with deep learning frameworks. Provide examples of projects or research where you applied these skills effectively.
Showcase Collaboration Experience:Emphasise any previous collaborative work with academic or industry partners. Highlight how you’ve contributed to multidisciplinary teams and the impact of your work in real-world applications.
How to prepare for a job interview at Darcie Talent
✨Showcase Your Research
Be prepared to discuss your previous research in detail, especially any publications at leading AI conferences. Highlight your contributions and the impact of your work on the field of machine learning.
✨Demonstrate Technical Skills
Make sure to brush up on your programming skills in Python and be ready to discuss your experience with deep learning frameworks. You might be asked to solve a technical problem or explain your approach to a specific challenge.
✨Understand Current Trends
Stay updated on the latest advancements in reinforcement learning, large language models, and optimisation techniques. Being able to discuss recent developments will show your passion for the field and your commitment to advancing AI research.
✨Prepare Thoughtful Questions
Think of insightful questions to ask your interviewers about their current projects and the team dynamics. This not only shows your interest in the role but also helps you gauge if the environment aligns with your research aspirations.
