Machine Learning Researcher

Darcie Talent; England; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A cybersecurity AI startup in London is seeking a talented ML Scientist to join their innovative team. The role involves collaborating with elite professionals on groundbreaking machine learning projects focusing on cybersecurity applications. Candidates should have an MSc or PhD in Computer Science, along with strong experience in transformer-based models and proficiency in Python. This position offers competitive compensation and a flexible hybrid working arrangement.

Benefits

Competitive compensation

Flexible hybrid working model

Collaboration with elite 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.

Responsibilities

• Collaborate with a research-driven team.
• Work on real-world ML applications.
• Advance ML research in cybersecurity.

Skills

Hands-on experience with transformer-based models

Proficiency in Python

Experience with deep learning frameworks

Publication record at leading conferences

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!