The ad says“Basic understanding of cybersecurity concepts and common threats”
The ad says“Familiarity with Linux and Git”
The ad says“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”
The ad says“Familiarity with Linux and Git”
The ad says“This position emphasises expertise in machine learning, though will also involve extensive collaboration with software development and security analysis teams”
The ad says“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”
The ad says“Experience with Python machine learning libraries (e.g. PyTorch, TensorFlow, scikit-learn)”
The ad says“Experience with Python machine learning libraries (e.g. PyTorch, TensorFlow, scikit-learn)”
The ad says“Experience with Python machine learning libraries (e.g. PyTorch, TensorFlow, scikit-learn)”
The ad says“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”
The ad says“Experience with Python machine learning libraries (e.g. PyTorch, TensorFlow, scikit-learn)”
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
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
Benefits
Active social and charity initiatives including our matched charitable giving scheme and employee recognition scheme
23 days paid holiday plus UK bank holidays, increasing to 25 days after two years’ service
Additional birthday day off
Salary Sacrifice pension scheme with 4% employer contribution and minimum 5% employee contribution
Optional BUPA private medical insurance for you and your immediate family
Life assurance with a benefit of 4x your annual basic salary
Employee Assistance Programme offering both on-line and telephone support and resources to you and your family
Cycle to work scheme
Preferred experience
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
Be a team player but with the ability to operate autonomously and take independent decisions
Candidates must have a PhD or master’s degree in machine learning or a related discipline or equivalent experience
A proactive approach to learning, problem-solving, and innovation will be key to success in this role
Experience with a variety of machine learning techniques
Experience with Python machine learning libraries (e.g. PyTorch, TensorFlow, scikit-learn)
Familiarity with Linux and Git
Basic understanding of cybersecurity concepts and common threats
