Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.

Please note this is a hybrid position that requires attendance in the Cambridge office at least 2 days a week.

What will I be doing:

As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace’s services and offerings while balancing creativity, logical thinking and time constraints to implement novel features.

You will collaborate with a cross-functional team of engineers, machine learning specialists and security researchers to create cutting-edge models and optimising solutions to improve both speed and scale. Other responsibilities will include but are not limited to:

• Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models,

• Advancing our unique methodology for defending against unknown cyber-attacks,

• Embracing innovation and creativity in your approach, alongside traditional project-based development,

• Developing core competencies in various technology stacks, with opportunities to specialize in specific domains.

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What experience do I need:

We seek engineers with a solution-focused mindset and an analytical approach to problem-solving. During the interview process, you'll demonstrate your programming skills and your ability to write production-quality Python code. Additionally, you should be:

• Comfortable working autonomously and making independent decisions, while also being able to collaborate effectively within a team,

• Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)

• Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),

• Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),

• Experienced with Rust, specifically the ort crate (beneficial but not essential)

• Interested in cyber security and willing to learn more.