Specialist Machine Learning Researcher

About the Role

As a Specialist Machine Learning Researcher, you'll play a key role in diverse projects, from prototyping new ideas to extensive research initiatives. Collaborating with software engineers, you'll test and implement research outcomes, contributing to our distinctive cyber defence methodology. This position emphasises expertise in machine learning, though will also involve extensive collaboration with software development and security analysis teams.

You will be responsible for exploring solutions to interesting problems in a variety of domains, using techniques including large language models, statistical methods, and classical machine learning where appropriate. You will work both as an independent researcher and in team collaborations. Other responsibilities will include but not limited to:

• Integrating your machine learning models into the broader software stack,
• Optimising solution, since our models are deployed across a variety of environments, including edge devices,
• Optimising for both low latency and minimal memory usage

Who you are

• Candidates must have a PhD or master's degree in machine learning or a related discipline or equivalent experience,
• Experience with Python machine learning libraries (e.g. PyTorch, TensorFlow, scikit-learn)
• A deep understanding of large language models and their applications (e.g. transfer learning, embeddings, generative usage, agentic functionality)
• Be a team player but with the ability to operate autonomously and take independent decisions

Desirable

• Desirable experience includes familiarity with standard tooling for agentic systems—such as LangGraph, LangChain, and smolagents, as well as the supporting infrastructure including MCP servers, vector databases, memory components, and ontologies
• It is also beneficial to have experience working with both low‑code and high‑code cloud AI services like AWS Bedrock, Azure AI Foundry, Vertex AI, and Copilot Studio
• A solid grounding in a variety of machine learning techniques is valuable, along with being comfortable using Linux and Git. Additionally, a basic understanding of cybersecurity concepts and common threats, particularly those relevant to AI systems, would be highly advantageous

Skills

• AWS
• Python
• Linux
• Tensorflow
• Azure
• Scikit-Learn
• PyTorch
• Git

Company Information

AI cybersecurity solutions

1001+ employees

B2B

Artificial Intelligence

Machine Learning

SaaS

Cyber Security