At a Glance
- Tasks: Join us to build and evolve our AI-driven Security Operations Centre for real-world cybersecurity.
- Company: Reliance Cyber, a leading Google MSSP partner focused on innovative cyber security solutions.
- Benefits: Competitive salary, generous benefits package, and opportunities for professional growth.
- Other info: Collaborative environment with ownership opportunities in a cutting-edge AI platform.
- Why this job: Shape the future of AI in cybersecurity and make a real impact on security outcomes.
- Qualifications: STEM degree, strong Python skills, and a passion for machine learning and cybersecurity.
The predicted salary is between 80000 - 98000 £ per year.
Reliance Cyber is a Google MSSP partner and has been at the forefront of building "AI-enabled, human-in-the-loop" cyber security services on top of Google's advanced SecOps stack and Vertex AI capabilities. We are now accelerating our investment to bring AI and agentic capabilities to all aspects of our service, protect against AI-enabled cyber attacks and deliver enhanced security outcomes for our customers.
We’re looking for an ML Research Engineer to join us, reporting directly to our Head of Research. In this role, you’ll play a pivotal part in building and evolving our agentic Security Operations Centre (SOC), delivering rapid, automated decision‑making in response to real‑world cybersecurity events. You’ll have the rare opportunity to shape the foundations—designing and developing our core evaluation frameworks from the ground up, while continuously monitoring and optimising agent performance.
Working closely with the Head of Research, you’ll experiment across the full stack—from system prompts and MCP services to underlying models—with the scope to help scale our architecture into increasingly sophisticated, multi‑agent systems as our platform and data evolve.
Responsibilities- Build and evolve our agentic Security Operations Centre (SOC), delivering rapid, automated decision‑making in response to real‑world cybersecurity events.
- Shape the foundations of the SOC by designing and developing our core evaluation frameworks from the ground up.
- Continuously monitor and optimise agent performance.
- Experiment across the full stack—from system prompts and MCP services to underlying models—to scale our architecture into increasingly sophisticated, multi‑agent systems as our platform and data evolve.
- Curious, self‑driven ML Research Engineer with a strong quantitative background (STEM degree or equivalent).
- Solid foundations in Python, statistics and data science.
- Research‑minded, experimental approach with proven ability to write clean, functional code, work with data processing pipelines and apply core data‑science workflows in practice.
- Advanced research degree (Master’s or PhD) and genuine interest in machine learning, large‑language models and emerging agentic architectures, alongside an understanding of model evaluation approaches.
- Comfortable working in evolving environments and able to communicate complex ideas clearly.
- Exposure to cloud platforms (particularly GCP), modern development practices (e.g. Git) and a conceptual understanding of web technologies (React/Node) highly valued.
- Any interest or awareness of cybersecurity is a plus.
- Will thrive in a collaborative environment while taking real ownership, motivated by the opportunity to help build, shape and continuously improve a cutting‑edge AI platform from the ground up.
Alongside a competitive salary, we offer a generous benefits package.
ML Research Engineer in London employer: Breath HR
At Reliance Cyber, we pride ourselves on being at the cutting edge of AI-enabled cybersecurity, fostering a collaborative and innovative work culture that empowers our employees to take ownership of their projects. As a ML Research Engineer, you will have the unique opportunity to shape the future of our Security Operations Centre while benefiting from a generous package that supports your professional growth and well-being. Join us in a dynamic environment where your contributions directly impact our mission to enhance security outcomes for our clients.
