Machine Learning Integration Engineer

Darktrace Ltd; Cambridge; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Private medical insurance

Life insurance

Enhanced family leave

Cycle to work scheme

Birthday leave

Job summary

Darktrace Ltd is searching for a Machine Learning Integration Engineer based in Cambridge. In this hybrid role, you'll contribute to deploying and optimising innovative machine learning models while collaborating with a diverse team of engineers and researchers.

You'll need strong Python skills and a familiarity with ML frameworks. The position offers 23 days of holiday plus benefits including private medical insurance and a life insurance policy.

Qualifications

• Experience with Python data and matrix manipulation libraries.
• Familiarity with machine learning and model acceleration frameworks.
• Ability to work independently and collaboratively.

Responsibilities

• Assist with the deployment and optimisation of machine learning models.
• Collaborate with a cross-functional team to create cutting-edge models.
• Contribute to projects and optimise runtime and memory usage.

Skills

Python programming

Machine learning frameworks

Data manipulation

Autonomy in decision-making

Collaboration

Tools

PyTorch

ONNX

numpy

pandas

Rust

Job description

## Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace 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. To learn more, visit http://www.darktrace.com. **Job D****escription****:**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.