3 of 3 Vertex AI Jobs in Wakefield

AI Engineering Lead

Hiring Organisation
Akixi
Location
Wakefield, West Yorkshire, UK
Employment Type
Full-time
integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. … understanding of prompt engineering and fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI ...

Machine Learning Engineer

Hiring Organisation
Brio Digital
Location
Wakefield, West Yorkshire, UK
Employment Type
Full-time
Senior Machine Learning Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) Salary: £75,000 – £100,000 (depending on experience) The Role We're hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. … monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live ...

Generative AI Engineer

Hiring Organisation
Avensys Consulting UK
Location
Wakefield, West Yorkshire, UK
Employment Type
Full-time
Role: Gen AI Engineer Location: Remote Contract: 06 Months Rate: 450-500 GBP Per Day – Inside IR35 MAX The Gen AI Engineer will be a specialized type of artificial intelligence professional, focused on designing, developing & implementing generative AI models and algorithms. Working collaboratively with … team to ensure project deadlines are met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation ...