3 of 3 Remote/Hybrid Vertex AI Jobs in the North East

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 ...

Data and AI Consultant - Full time

Hiring Organisation
Staffworx
Location
Newcastle upon Tyne, UK
Employment Type
Full-time
Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus … example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives ...

Machine Learning Engineer

Hiring Organisation
iConsultera
Location
Newcastle upon Tyne, UK
Employment Type
Full-time
MLOps & Automation Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking. Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such … solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay current with advancements in machine learning, AI, and data science. Evaluate new algorithms, tools, and frameworks for potential adoption. Contribute to best practices, documentation, and knowledge sharing. Required Skills & Experience Core ...