About this role
Salary: £61,000 - 101,000 per year
Requirements: We require a BSc in Machine Learning, Data Science, Computer Science, Mathematics or a related field.We require multiple years of experience delivering novel ML solutions to customers and internal stakeholders.We require excellent coding practice using Python and associated ML packages such as HuggingFace, TensorFlow and PyTorch, following best practices.We require experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.We require experience with version control and environment management such as venvs or Docker.We require experience writing technical project proposals.We require experience managing teams, through technical leadership and/or line management.We require experience leading teams following agile principles.We require expert knowledge of AI/ML algorithms for different data types and tasks, including Generative AI, NLP and computer vision, sufficient to propose research beyond existing literature.We require experience training and developing AI models, including Large Language Models.We require the ability to produce high-quality scientific writing for internal and external stakeholders as well as academic publications.We require the ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy.We require that you already hold or are able to gain SC clearance required on day 1 and eDV clearance once started.Desirable: PhD or Masters degree highlighting experience of academic research.Desirable: Experience deploying AI models in a scalable way for external users.Desirable: Experience developing supporting systems for AI deployments such as backend databases and front end UIs.Desirable: Working knowledge of Linux systems and basic command-line functionality such as AWS CLI, Docker CLI and Linux commands like ssh, ls and cd.Desirable: Experience working in cloud environments, especially AWS, or equivalents such as GCP or Azure.Desirable: Research publications in peer reviewed journals.Desirable: Experience delivering AI/ML projects in defence or government.Desirable: An existing network of contacts across defence and government. Responsibilities: We support the Head of Data Science & Machine Learning using our experience to contribute to group strategy and stakeholder engagement.We bring ideas for novel research that will drive competitive advantage across our customer community.We work with autonomy to develop complex, novel data science solutions.We support triaging and responding to opportunities, aligning them to the group and wider business strategies.We design and deliver data-centric solutions while working collaboratively across disciplines.We deliver technical research and applied AI/ML tasks on customer and internal research projects.We provide technical leadership across multiple projects.We manage more junior team members across the SRG.We deliver AI/ML and data science solutions to a broad range of problems in defence.We work with customers and internal stakeholders to determine appropriate technical approaches and carry out the technical development required for delivery.We communicate clearly and present practical demonstrations of our work internally, to senior stakeholders and at conferences, adapting to audiences with different levels of technical expertise. Technologies: AIAWSAzureBackendCloudComputer VisionDevSecOpsDockerGCPSupportLinuxMachine LearningMLOpsModel TrainingNetworkPyTorchPythonTensorFlowSecurity More:
We are partnering directly to hire for a permanent Principal Data Scientist and Machine Learning Researcher role within our Strategic Research Group (SRG). Our team of data science, machine learning and AI specialists develops novel AI solutions to mission-focused problems. This hybrid role is available in Gloucester, Manchester or London, with an average of three days a week on site. We offer a 37-hour working week with early finish Fridays, an informal and flexible output-focused culture, 25 days holiday plus statutory public holidays, the opportunity to buy and sell up to five days, up to five paid volunteering days, a contributory pension scheme with up to 10.5% company contribution, an annual discretionary bonus, life assurance, a flexible benefits scheme including health cash plan, dental and cycle to work options, enhanced sick pay, and enhanced family-friendly policies. We work across DevSecOps at scale, artificial intelligence, machine learning, cyber and geospatial intelligence capabilities supporting the defence, intelligence and cyber sectors, and we pride ourselves on collaboration, innovation and professional development as part of a wider global organisation focused on secure, mission-critical systems.
last updated 39 week of 2026