Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. More ❯
/Azure. You will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below More ❯
Experience with scaling AI solutions in complex, regulated environments is required. Deep understanding of AI/ML lifecycle, model governance, and ethical AI principles. AI technical experience including AWS Bedrock, Azure AI Foundry, Google Vertex and open-source AI/ML stacks. Contribute to reusable architecture patterns and support internal capability uplift. Background in regulated environments and ability to More ❯
Employment Type: Contract
Rate: £700.00 - £750.00 per day + £700- £750 Per Day (Inside IR35)
