As a Machine Learning Researcher, you'll play a key role in diverse projects, from prototyping new ideas to improving existing projects. Collaborating with software engineers, you'll test and implement research outcomes, contributing to our distinctive cyber defence methodology. This position emphasises expertise in machine learning, though will also involve extensive collaboration with software development and security analysis teams.
What will I be doing?
You will be responsible for exploring solutions to interesting problems in a variety of domains, using techniques including language models, neural networks, statistical methods, and classical machine learning where appropriate. You will work both as an independent researcher and in team collaborations. You will also be responsible for implementing your machine learning models in the wider software stack. As we deploy our machine learning models in a variety of settings, including on edge devices, you will be expected to produce optimised solutions for both latency and memory.
Please note this is a hybrid role, with a compulsory attendance of 2 days a week in the Cambridge office.
What experience do I need?
We are looking for a curious and motivated machine learning professional with a strong academic or industry background in AI, machine learning, or a related field. You will be comfortable applying machine learning techniques to solve complex real-world problems, working collaboratively within a multidisciplinary team, and communicating technical concepts to a range of stakeholders. A proactive approach to learning, problem-solving, and innovation will be key to success in this role.
Essential
Candidates must have a PhD or master's degree in machine learning or a related discipline or equivalent experience.
Experience with Python machine learning libraries (e.g. PyTorch, TensorFlow, scikit-learn)
Experience with a variety of machine learning techniques.
Be a team player but with the ability to operate autonomously and take independent decisions.
Desirable
Familiarity with Linux and Git
Basic understanding of cybersecurity concepts and common threats
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.


 As a growing business strengthening its governance and controls, this role plays a part in supporting high standards of integrity and accountability. 

 Darktrace is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.
Darktrace is committed to providing reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. If you require a reasonable accommodation to participate in the application or interview process, please contact your Talent Partner.
