Machine Learning Researcher

Darcie Talent; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading AI cybersecurity startup in London is seeking a talented ML Scientist to join their team focused on cutting-edge machine learning security challenges. The ideal candidate will hold an MSc or PhD in a relevant field and have hands-on experience with transformer-based models. This role offers a hybrid working environment and the opportunity to work alongside accomplished ML scientists. Competitive compensation and a dynamic research-focused environment are part of the offer.

Benefits

Competitive compensation

Flexible hybrid working model

Collaboration with an elite research team

Qualifications

• MSc or PhD in Computer Science, Machine Learning, or a related discipline.
• Strong hands-on experience with transformer-based models / LLMs.
• Proficiency in Python and deep learning frameworks.
• Proven publication record at leading conferences.

Responsibilities

• Collaborate with a research-driven team on machine learning security.
• Work on real-world applications of cutting-edge ML techniques.

Skills

Hands-on experience with transformer-based models

Proficiency in Python

Experience with deep learning frameworks

Strong publication record

Education

MSc or PhD in Computer Science or Machine Learning

Tools

PyTorch

TensorFlow

Job description

Join an innovative AI cybersecurity startup based in London that’s tackling cutting‑edge challenges in large language models (LLMs) and machine learning security. Following a successful Series A funding round, they’re expanding their team and looking for a talented ML Scientist to help shape the future of intelligent, secure systems.

You’ll be part of a strong research group located near King’s Cross, working in a hybrid environment alongside accomplished ML scientists with publications at top‑tier conferences.

Experience Required

• MSc or PhD in Computer Science, Machine Learning, or a related discipline
• Strong hands‑on experience with transformer‑based models / LLMs
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Proven publication record at leading conferences such as NeurIPS, ICML, or ICLR

On Offer

• Collaborate with an elite, research‑driven team in a rapidly growing sector
• Work on real‑world applications of cutting‑edge ML techniques
• Competitive compensation and flexible hybrid working model

If you’re passionate about advancing ML research and applying it to the fast‑evolving world of cybersecurity, we’d love to hear from you. Apply today!