Data Scientist - Defence & Security

About the role

£Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol | Onsite/Hybrid | Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering advanced data and AI solutions across highly secure government and defence environments. Due to the nature of these programmes, only candidates holding active UK Developed Vetting (DV) clearance can be considered for this role . This opportunity sits at the forefront of MLOps, machine learning, and GenAI , working within a specialist team delivering high-impact solutions in complex, high-assurance environments. The position combines hands-on engineering with technical leadership, supporting the design, deployment, and optimisation of advanced AI systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning and AI engineering Contribute to innovation across AI tools, techniques, and delivery Support and mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject matter expert across AI and machine learning Support junior engineers and contribute to team capability development Contribute to internal innovation and continuous improvement Key Requirements Strong programming capability in Python Experience building and deploying machine learning models and pipelines Experience with cloud platforms (AWS or Azure preferred) Practical experience with Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively with both technical and non-technical stakeholders You will gain exposure with: Deployment of LLMs and GenAI solutions in secure environments High-performance computing and cloud-native AI architectures End-to-end MLOps lifecycle and model management Advanced AI techniques including RAG, agentic systems, and multimodal models Secure, high-assurance data environments Modern DevOps, CI/CD, and engineering practices Why Join? Work at the forefront of AI and GenAI innovation Deliver solutions in mission-critical, high-security environments Build deep expertise in advanced AI technologies Take ownership of technical delivery within specialist teams Competitive salary and comprehensive benefits package Interested?