Data Scientist - Defence & Security

£Up to £75,000 GBP

Bonus

Onsite WORKING

Location: Manchester; Bristol; London , Central London, Greater London - United KingdomType: Permanent

Data Scientist Specialist (MLOps & GenAI)

Bristol | Onsite/Hybrid | Permanent

Our client is a leading globaltechnology and consulting organisation, recognised as one ofFortune'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 ofMLOps, 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-edgeGenAI and machine learning solutions
• Build and deployLLMs 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 deployML 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 inPython
• Experience building and deployingmachine learning models and pipelines
• Experience withcloud platforms (AWS or Azure preferred)
• Practical experience withDocker, 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 ofdata 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 ofLLMs 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 ofAI 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? Apply now.