Machine Learning Integration Engineer

Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI. The Darktrace Active AI Security PlatformTM delivers a proactive approach to cyber resilience to secure the business across the entire digital estate – from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace’s platform and services are supported by over 2,400 employees around the world.

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.

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.

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.

• 23 days’ holiday + all public holidays, rising to 25 days after 2 years of service,
• Additional day off for your birthday,
• Private medical insurance which covers you, your cohabiting partner and children,
• Life insurance of 4 times your base salary,
• Salary sacrifice pension scheme,
• Enhanced family leave,
• Confidential Employee Assistance Program,
• Cycle to work scheme.