Machine Learning Integration Engineer

Darktrace
United Kingdom
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Python","Communication","Problem-solving","Teamwork"]

Join our Cambridge R&D team as a Software Engineer focusing on ML integration. You’ll deploy and optimize new machine learning models to enhance Darktrace’s security offerings, collaborating with engineers, ML specialists, and security researchers to build scalable, production-ready solutions. This hybrid role requires in-office presence in Cambridge at least 2 days a week, with hands-on Python, ML frameworks, and memory/GPU optimization.

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Darktrace
Darktrace
3 months ago

Machine Learning Integration Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 days agoStatus: Live

Job Summary

Join our Cambridge R&D team as a Software Engineer focusing on ML integration. You’ll deploy and optimize new machine learning models to enhance Darktrace’s security offerings, collaborating with engineers, ML specialists, and security researchers to build scalable, production-ready solutions. This hybrid role requires in-office presence in Cambridge at least 2 days a week, with hands-on Python, ML frameworks, and memory/GPU optimization.
Location: United Kingdom
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Deploy and optimize machine learning models for Darktrace services to improve speed and scale
  • •Collaborate with a cross-functional team of engineers, ML specialists and security researchers to develop cutting-edge models
  • •Contribute to rapid prototyping of new ideas and optimization of runtime and memory usage for existing models
  • •Develop core competencies across technology stacks with opportunities to specialize in domains
  • •Balance creative solution development with project deadlines to deliver production-ready features

Pay and Benefits

Perks:Health InsuranceLife InsurancePension

Key Requirements

  • •Strong Python programming skills and production-quality code experience
  • •Hands-on experience with machine learning frameworks (e.g., PyTorch, ONNX, ONNX Runtime)
  • •Experience with Python data libraries (e.g., numpy, pandas) and memory/GPU optimization
  • •Ability to collaborate with a cross-functional team of engineers, ML specialists and security researchers
  • •Comfortable working autonomously, taking independent decisions while collaborating effectively in a team
Experience:CybersecurityAIMLSoftware engineering
Skills:PythonCommunicationProblem-solvingTeamwork
Languages:English
Tech Stack:PythonPyTorchONNXONNX RuntimeNumpyPandasGPUMemory managementRust (ort crate)

Company Brief

Darktrace
Develops AI-driven cybersecurity solutions that detect, respond to, and neutralize cyber threats across cloud, email, network, and endpoint environments using machine learning and anomaly detection to protect enterprises globally.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cambridge, United Kingdom
Founded: 2013
WebsiteLinkedIn