At a Glance
- Tasks: Join us to build and evolve our AI-driven Security Operations Centre for real-world cybersecurity.
- Company: Reliance Cyber, a Google MSSP partner, leading in AI-enabled cybersecurity services.
- Benefits: Competitive salary and a generous benefits package await you.
- Other info: Collaborative environment with opportunities to innovate and grow your career.
- Why this job: Shape the future of cybersecurity with cutting-edge AI technology and make a real impact.
- Qualifications: STEM degree, strong Python skills, and a passion for machine learning required.
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. It is our people that make us exceptional - and we are on the lookout for a ML Research Engineer to join our growing team and help us deliver this transformation in our MDR platform.
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. As we’re still early in our journey, 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.
Qualifications
- 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.
Benefits
Alongside a competitive salary, we offer a generous benefits package.
ML Research Engineer employer: Breath HR
At Reliance Cyber, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects and contribute to cutting-edge advancements in AI-enabled cybersecurity. As a ML Research Engineer, you will have the unique opportunity to shape the future of our Security Operations Centre while benefiting from a competitive salary and a generous benefits package, all within a collaborative environment that encourages continuous learning and professional growth.
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We think you need these skills to ace ML Research Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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