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Artificial Intelligence Engineer

Vivatechtalent — United Kingdom · Posted ~3 hours ago

Senior Full-time Hybrid £70000-£80000 per year

Skills

Python PyTorch Machine learning scikit-learn or TensorFlow AI model development Data preprocessing Data cleaning Vectorization Agentic workflows Azure Search and retrieval Production AI systems scikit-learn TensorFlow Agentic AI

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Summary ✨ AI‑Generated

Build an AI capability from the ground up in a senior hands-on engineering role. You will train models in production-grade Python, use PyTorch and scikit-learn or TensorFlow, develop agentic workflows, deploy secure AI systems on Azure, and build the search and retrieval layers supporting them. You will also influence model selection, data preparation, input security, and evaluation of model outputs.

Highlights

Senior hands-on opportunity to help establish an AI function from the ground up, with substantial influence over technical direction and priorities. The role combines model development, agentic systems, secure Azure production deployment, and search and retrieval infrastructure, supported by an experienced engineering team and close technical leadership.

Description

AI Engineer Belfast | Hybrid £70,000 - 80,000 Most AI roles ask you to join a team. This one asks you to build it. Our client is building an AI function from scratch, and the person they hire will shape it from day one, setting its direction and deciding what it takes on next. It's a senior, hands-on role. You'll be training models in Python, taking agentic workflows into secure production on Azure, and building the search and retrieval layers underneath them. You'll also make the bigger calls. What to train on. How to secure every input that reaches a model. How to prove an output is correct, not just plausible. You won't be doing it alone. There's an engineering team that has already built and shipped the platform, and a CTO close to the work. What you'll need Production-standard Python, with hands-on modelling in PyTorch and at least one of sklearn or TensorFlowOwnership of the full modelling lifecycle, from sourcing and cleaning data through to encoding and vectorisationAgentic workflows you've taken into production and supported, not prototypes built on a frontier modelModel security applied in production, including jailbreak prevention and prompt injection defenceProduction experience on a major cloud AI platform. Azure is preferred, but equivalent depth on AWS Bedrock transfersVector databases run in production, and retrieval systems that stayed accurate as the data grewHands-on experience with MCP or an equivalent agent-tooling protocol Get in touch for full info - submit your CV, or contact Carol Donnelly on carol@vivatechtalent.com