Harnham
Senior AI Research Engineer - Cybersecurity Agents
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Key Details:
- 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)
- Tech stack: Python, PyTorch, Scikit-learn, Hugging Face, LLMs, RAG, MLFlow, AzureML, CI/CD, MLOps, Azure/AWS/GCP
- Visa sponsorship: Not provided
Interested? Please apply below.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location