About the Role
Data Scientist Specialist (MLOps & GenAI)Bristol | Onsite/Hybrid | PermanentOur 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 solutionsBuild and deploy LLMs and ML models across cloud and HPC environmentsTake ownership of technical delivery within projectsAct as a go‑to specialist for machine learning and AI engineeringContribute to innovation across AI tools, techniques, and deliverySupport and mentor engineers within a collaborative teamYour ResponsibilitiesLead technical delivery across machine learning and MLOps engagementsDesign, build, and deploy ML models and LLM‑based solutionsDevelop and optimise pipelines for model training and deploymentWork across cloud and high‑performance computing environmentsAct as a subject matter expert across AI and machine learningSupport junior engineers and contribute to team capability developmentContribute to internal innovation and continuous improvementKey RequirementsStrong programming capability in PythonExperience building and deploying machine learning models and pipelinesExperience with cloud platforms (AWS or Azure preferred)Practical experience with Docker, Linux/Unix CLI, Git, and testingUnderstanding of modern AI approaches, including:Agentic AI systemsRAG (Retrieval Augmented Generation)Graph‑based approachesComputer vision, audio, or multimodal modelsKnowledge of data governance and security best practicesStrong communication and problem‑solving capabilityAbility to work effectively with both technical and non‑technical stakeholdersYou will gain exposure with:Deployment of LLMs and GenAI solutions in secure environmentsHigh‑performance computing and cloud‑native AI architecturesEnd‑to‑end MLOps lifecycle and model managementAdvanced AI techniques including RAG, agentic systems, and multimodal modelsSecure, high‑assurance data environmentsModern DevOps, CI/CD, and engineering practicesWhy Join?Work at the forefront of AI and GenAI innovationDeliver solutions in mission‑critical, high‑security environmentsBuild deep expertise in advanced AI technologiesTake ownership of technical delivery within specialist teamsCompetitive salary and comprehensive benefits packageInterested? Apply now.