At a Glance
- Tasks: Join our R&D team to develop and optimise innovative machine learning models for cybersecurity.
- Company: Darktrace, a global leader in AI for cybersecurity with a vibrant culture.
- Benefits: Generous holiday, private medical insurance, life insurance, and a cycle to work scheme.
- Other info: Hybrid role with excellent career growth opportunities in a dynamic environment.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge technology and a creative team.
- Qualifications: Experience in Python programming and familiarity with machine learning frameworks.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
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.
Machine Learning Integration Engineer in Cambridge employer: Darktrace Ltd
Darktrace is an exceptional employer, offering a vibrant work culture in the heart of Cambridge, where innovation thrives. Employees benefit from a comprehensive package that includes generous holiday allowances, private medical insurance, and opportunities for professional growth within a leading AI cybersecurity firm. With a focus on collaboration and creativity, Darktrace empowers its team to push the boundaries of technology while ensuring a supportive environment for personal and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Integration Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees at Darktrace on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and machine learning frameworks. Practice coding challenges and be ready to showcase your problem-solving abilities. We want to see you in action!
✨Tip Number 3
Show your passion for cybersecurity! Research recent trends and challenges in the field, and be prepared to discuss how your skills can contribute to Darktrace's mission. Let your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at Darktrace. Let’s get you on board!
We think you need these skills to ace Machine Learning Integration Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Integration Engineer role. Highlight relevant experience, especially with Python and machine learning frameworks. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about cybersecurity and how your background makes you a great fit for our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects:If you've worked on any cool projects related to machine learning or cybersecurity, make sure to mention them! We’re keen to see your hands-on experience and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Darktrace!
How to prepare for a job interview at Darktrace Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and machine learning frameworks like PyTorch. Brush up on your knowledge of data manipulation libraries like numpy and pandas, as you'll likely be asked to demonstrate your skills during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using a solution-focused mindset. Think about times when you had to optimise code or improve model performance, and be ready to explain your thought process and the outcomes.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be prepared to talk about your experience collaborating with others. Share examples of how you’ve successfully worked in a team environment, highlighting your ability to balance independent work with teamwork.
✨Express Your Interest in Cybersecurity
Demonstrate your enthusiasm for cybersecurity and your willingness to learn more about the field. Research Darktrace’s approach to AI in cybersecurity and be ready to discuss how you can contribute to their mission of defending against unknown threats.
