Machine Learning Integration Engineer

Reposted 8 Days Ago
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Cambridge, Cambridgeshire, England, GBR
In-Office
Entry level
Security • Cybersecurity
The Role
As a Machine Learning Integration Engineer, you'll deploy and optimize ML models, collaborate on projects, and enhance cybersecurity offerings.
Summary Generated by Built In

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 Platform™ 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. To learn more, visit http://www.darktrace.com.  

Job Description:

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. 

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.

Benefits:

  • 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.

Skills Required

  • Production-quality Python coding skills
  • Familiarity with machine learning frameworks
  • Experience with data manipulation libraries
  • Knowledge of Python memory management
  • Experience with Rust ort crate

Darktrace Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Darktrace and has not been reviewed or approved by Darktrace.

  • Healthcare Strength Healthcare coverage is considered strong in the U.S., with employer-paid medical, dental, and vision noted alongside good networks. Plan quality stands out as a core strength of the package.
  • Leave & Time Off Breadth Time off typically includes around 20–21 days of PTO plus paid holidays, with mentions of an additional birthday day. Parental and family leave are also described as part of the offering.
  • Affordable Benefits Employer-paid health coverage for employees—often extended to dependents—reduces premium costs. This makes core medical benefits more financially accessible.

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The Company
Atlanta, GA
1,763 Employees
Year Founded: 2013

What We Do

Darktrace, a global leader in cyber security AI, delivers world-class technology that protects over 5,500 customers worldwide from advanced threats, including ransomware and cloud and SaaS attacks. The company’s fundamentally different approach applies Self-Learning AI to enable machines to understand the business in order to autonomously defend it. Headquartered in Cambridge, UK, the company has 1,500 employees and over 30 offices worldwide. Darktrace was named one of TIME magazine’s ‘Most Influential Companies’ for 2021.

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