3 of 3 Vertex AI Jobs in Newcastle upon Tyne

AI Engineer - Contract Role

Hiring Organisation
La Fosse Associates Limited
Location
Newcastle Upon Tyne, Tyne And Wear, United Kingdom
Employment Type
Contract
Contract Rate
GBP 585 - 600 Daily
AI Engineer | Contract | Initial 3 months | Newcastle (Hybrid) | £585-600/day Inside IR35 We have a new contract role for an AI Engineer to work on cutting-edge generative AI solutions leveraging Google Gemini and Google Cloud Platform. This is a hybrid role … with 3 days per week required on site in Newcastle. Key Responsibilities: Design and implement AI-driven solutions using Google Gemini and Vertex AI Build and integrate generative AI models via APIs Develop scalable Back End systems in Python for data processing ...

AI Engineering Lead

Hiring Organisation
Akixi
Location
Newcastle upon Tyne, 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
Newcastle upon Tyne, 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 ...