What will I be doing:
As a Statistician within the AI Analysis team, you'll play a key role in diverse projects, from prototyping new ideas to extensive research initiatives. Collaborating with software engineers, you'll test and implement research outcomes, contributing to our distinctive cyber defense methodology. Innovation is central to our work, fostering both creative approaches and traditional project development. This position emphasizes expertise in machine learning, offering chances to engage in software development and DevOps engineering collaborations.
Please note this is a hybrid role, and expectation is work a minimum of 2 days a week in the Cambridge office.
What experience do I need:
Essential:
Candidates must have a PhD or master’s degree in statistics, machine learning or a related discipline or equivalent experience,
Strong experience working with Python, Knowledge of classical and contemporary approaches to analysis of time series data (e.g. bayesian analysis, HMMs, transformers),
Be a team player but with the ability to operate autonomously and take independent decisions.
Desirable:
Experience with recent large language models (e.g. GPT4, LLAMA2, Falcon),
Knowledge of classical NLP approaches (e.g. TF-IDF, POS-tagging, Word2Vec),
Experience with graph neural networks (e.g. MPNNs, GCNs, GATs),
Experience with cloud architecture (e.g. AWS, GCP),
Experience with infrastructure provisioning tools (e.g. Terraform, Ansible),
Knowledge of cybersecurity or networking.
Benefits we offer:
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.
#Li-Hybrid
#J-18808-Ljbffr
As a Statistician within the AI Analysis team, you'll play a key role in diverse projects, from prototyping new ideas to extensive research initiatives. Collaborating with software engineers, you'll test and implement research outcomes, contributing to our distinctive cyber defense methodology. Innovation is central to our work, fostering both creative approaches and traditional project development. This position emphasizes expertise in machine learning, offering chances to engage in software development and DevOps engineering collaborations.
Please note this is a hybrid role, and expectation is work a minimum of 2 days a week in the Cambridge office.
What experience do I need:
Essential:
Candidates must have a PhD or master’s degree in statistics, machine learning or a related discipline or equivalent experience,
Strong experience working with Python, Knowledge of classical and contemporary approaches to analysis of time series data (e.g. bayesian analysis, HMMs, transformers),
Be a team player but with the ability to operate autonomously and take independent decisions.
Desirable:
Experience with recent large language models (e.g. GPT4, LLAMA2, Falcon),
Knowledge of classical NLP approaches (e.g. TF-IDF, POS-tagging, Word2Vec),
Experience with graph neural networks (e.g. MPNNs, GCNs, GATs),
Experience with cloud architecture (e.g. AWS, GCP),
Experience with infrastructure provisioning tools (e.g. Terraform, Ansible),
Knowledge of cybersecurity or networking.
Benefits we offer:
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.
#Li-Hybrid
#J-18808-Ljbffr
