At a Glance
- Tasks: Join R&D teams 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.
- 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 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.
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.
Machine Learning Integration Engineer employer: Darktrace
Darktrace is an exceptional employer, offering a vibrant work culture in the heart of Cambridge and London, where innovation thrives. Employees benefit from a supportive environment that encourages professional growth through collaboration with leading experts in AI and cybersecurity, alongside competitive perks such as private medical insurance, generous holiday allowances, and a focus on work-life balance. Join us to be part of a pioneering team dedicated to advancing cybersecurity solutions while enjoying unique opportunities for personal and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Integration Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Darktrace on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those related to machine learning and Python. Bring it along to interviews to demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills, especially in Python. Use platforms like LeetCode or HackerRank to solve problems that might come up during technical interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Darktrace team.
We think you need these skills to ace Machine Learning Integration Engineer
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 like PyTorch. 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. We love creativity, so don’t be afraid to show your 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 interested in seeing how you’ve applied your skills in real-world scenarios. Include links if possible!
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
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python, PyTorch, and ONNX. 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 past projects where you tackled complex problems, especially those related to machine learning integration. Be ready to explain your thought process and how you approached challenges, as this will highlight your analytical mindset.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight your ability to balance independent work with teamwork, as this is crucial for the dynamic environment at Darktrace.
✨Stay Curious About Cybersecurity
Demonstrate your interest in cybersecurity by discussing recent trends or innovations in the field. Showing that you're eager to learn more about the industry will set you apart and align with Darktrace's mission to stay ahead of cyber threats.
