AWSAzureCloudDockerGoogle Cloud PlatformLinuxPythonPyTorchTensorflowAIMachine LearningMLNLPComputer VisionGenerative AILarge Language ModelsTensorFlowGCPGoogle CloudVersion ControlAgileCommunication
About this role
Role Overview
Develop, novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors.
Bring experience in developing and delivering data-centric solutions.
Undertake research and applied AI/ML tasks on both customer and internal research projects.
Work with autonomy on assigned tasks within project groups.
Generate ideas for new research directions.
Deliver AI/ML/Data Science solutions to broad range of problems in defence.
Work with more senior group members, customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise.
Requirements
BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
Have experience of delivering ML solutions to stakeholders.
Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision.
Experience of training and developing AI models including Large Language Models.
Ability to produce high-quality scientific (academic style) writing for internal & external publication.
Problem solve with high levels of autonomy, with some input from technical leaders.
Be a self-starter, being pro-active in finding solutions.
Desirable PhD. or Masters degree highlighting experience of academic research.
Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker)
Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd…)
Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.
Research publications in peer reviewed journals.
Comfortable following agile processes for project delivery.
Experience of delivering AI/ML projects in defence or government.
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
Linux
Python
PyTorch
Tensorflow
Benefits
Competitive salary
Contributory Pension Scheme (up to 10.5% company contribution)
6 times salary ‘Life Assurance’ with pension
25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
Company bonus scheme (discretionary)
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others
Enhanced sick pay
Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
Up to 5 paid days volunteering each year
Flexible working culture focused on output, with more formal flexible working arrangements on request