At a Glance
- Tasks: Lead AI research projects to combat cyber threats and enhance security.
- Company: Award-winning cybersecurity firm with a focus on innovative AI solutions.
- Benefits: Enjoy remote work flexibility, technical autonomy, and the chance to shape future AI products.
- Other info: Join a dynamic team with opportunities for growth and collaboration.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge AI technologies.
- Qualifications: Experience in AI research, machine learning, and model development required.
The predicted salary is between 80000 - 100000 £ per year.
Want your AI research to protect organisations from real cyber threats? Looking for a role that blends classical machine learning, LLMs and agentic AI engineering? Interested in owning end-to-end AI projects with significant technical autonomy? An award-winning cyber security company is expanding its Applied AI function as it enters a new phase of growth and investment. The business develops advanced technology that protects organisations from file-based threats and is trusted by Government, Defence and enterprise customers. Current initiatives include AI-powered malware detection, malicious document classification and secure agentic AI systems. This is an opportunity to work on meaningful research and engineering challenges where AI is used to improve security outcomes at scale.
The Senior AI Research Engineer will lead the design, development and deployment of production AI systems across machine learning, deep learning and generative AI. This role offers substantial ownership, technical freedom and the opportunity to help shape the future of defensive AI products used in highly secure environments.
Key Responsibilities:- Lead end-to-end AI Research, Machine Learning and LLM projects from concept to deployment
- Build and optimise Random Forest, XGBoost, deep learning and generative AI models
- Develop RAG, Fine-Tuning, Prompt Engineering and Model Engineering solutions
- Design secure Agentic AI systems with governance, monitoring and safety controls
- Own MLOps, model evaluation, deployment, observability and retraining processes
- Leverage modern AI Coding Assistants including Claude Code, Codex and similar tooling
- Collaborate with engineers and researchers to translate cutting-edge research into production systems
Salary range: Not provided
Working model: Fully remote within the UK, hybrid available from the London office, rare travel (typically once or twice per month)
Senior AI Research Engineer - Cybersecurity Agents in London employer: Harnham
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