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 dynamic culture.
- Benefits: 23 days holiday, private medical insurance, life insurance, and enhanced family leave.
- Other info: Hybrid role with excellent career growth opportunities and a supportive team environment.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge technology.
- Qualifications: Experience in Python programming and familiarity with machine learning frameworks.
The predicted salary is between 50000 - 70000 £ 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.
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.
ML Integration Engineer – Cyber AI, Cambridge (Hybrid) employer: Darktrace Ltd
Darktrace is an exceptional employer, offering a vibrant work culture in the heart of Cambridge, where innovation thrives. With a strong focus on employee growth, you will have the opportunity to collaborate with leading experts in AI and cybersecurity while enjoying a comprehensive benefits package that includes generous holiday allowances, private medical insurance, and enhanced family leave. Join us to be part of a pioneering team that values creativity and autonomy, making a meaningful impact in the ever-evolving landscape of cybersecurity.
StudySmarter Expert Advice🤫
We think this is how you could land ML Integration Engineer – Cyber AI, Cambridge (Hybrid)
✨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 familiarising yourself with machine learning frameworks like PyTorch. We recommend doing some mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your passion for cybersecurity! During interviews, share any personal projects or experiences related to AI and security. This will help you stand out and demonstrate your genuine interest in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Darktrace team!
We think you need these skills to ace ML Integration Engineer – Cyber AI, Cambridge (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Integration Engineer role. Highlight your experience with Python, machine learning frameworks, and any relevant projects that showcase your skills. We want to see how you can contribute to our innovative team!
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 aligns with our mission at Darktrace. Be genuine and let your personality come through – we love seeing enthusiasm!
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills; demonstrate them! Share examples of how you've tackled complex problems in past projects, especially those involving machine learning or software development. We’re all about creativity and logical thinking!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Darktrace Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially around data manipulation with libraries like numpy and pandas. Be ready to discuss how you've used these tools in past projects, as well as any experience with machine learning frameworks like PyTorch or ONNX.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some coding challenges during the interview. Think about how you can demonstrate your analytical approach to problem-solving. Practice explaining your thought process clearly, as this will show your ability to think logically under pressure.
✨Get Familiar with Cybersecurity Concepts
Since this role is focused on AI for cybersecurity, it’s a good idea to brush up on basic cybersecurity principles. Understand what unknown threats are and how machine learning can help defend against them. This knowledge will help you stand out as a candidate who is genuinely interested in the field.
✨Be Ready to Collaborate
This position requires working closely with a cross-functional team, so be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated with others, and highlight your ability to work autonomously while still being a team player.
