We are looking for an experienced AI Engineer to support a major transformation programme focused on moving traditional, legacy technology platforms into modern, cloud aligned, AI enabled environments.

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This role requires someone confident working across Azure, VMware, and legacy infrastructure to identify upgrade pathways and design AI driven solutions that streamline, automate and modernise existing systems.

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This is a hands on engineering contract suited to someone who has previously delivered modernisation or platform transformation projects.

• Analyse legacy platforms (traditional on prem, monolithic systems, aging VMware estates) to identify modernisation and AI enablement opportunities.
• Design and implement AI/ML solutions that enhance, optimise, or replace outdated processes.
• Work closely with infrastructure teams to modernise VMware based workloads and integrate with Azure cloud services.
• Develop transformation roadmaps covering migration, automation, and AI driven optimisation.
• Build and deploy AI models into production environments hosted on Azure.
• Integrate AI models with existing infrastructure using APIs, microservices, or event driven patterns.
• Provide technical guidance across cloud, AI, automation, and platform engineering teams.
• Support continuous improvement of modernised environments and AI performance tuning.

• Proven experience as an AI Engineer / ML Engineer / Platform Modernisation Engineer.
• Strong background in Azure cloud services, especially AI/ML offerings (Azure ML, Cognitive Services, Data Lake, Functions, Kubernetes Service).
• Hands on experience with VMware platforms including vSphere, ESXi, and virtualised legacy workloads.
• Strong understanding of legacy architectures and how to transition them to modern, cloud ready states.
• Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience integrating AI into production platforms via APIs, microservices, or containerisation.
• Familiarity with Docker/Kubernetes, cloud automation, and modern CI/CD practices.
• Ability to operate effectively in complex brownfield environments.

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Desirable:

• Experience migrating VMware workloads into Azure (e.g., Azure VMware Solution).
• Knowledge of MLOps, infrastructure as code, and modern DevOps practices.
• Experience with RPA, intelligent automation, or LLM based workflow modernisation.
• Strong ability to communicate complex technical information clearly to non technical stakeholders.