3 of 3 Remote Vertex AI Jobs in the North of England

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

major industries, so you can shape the career you truly desire with us. YOUR ROLE In this role you will play a key role in: Delivering or leading AI projects , planning and executing activities using Agile methodologies, tracking progress, managing risks, and ensuring strategic alignment with client ambitions. Spearheading Workplace AI solution prototyping with the support … of peers and senior technical colleagues, to respond to latest client demands in innovation and to cement our position in the market. Helping to mature the Workplace AI offering applying out-of-the-box thinking to new business problems, defining solutions that are feasible, viable, desirable, and sustainable, while delivering impactful strategic presentations. Contributing to the collective upskilling … of our team , instigating new trends in AI and helping your peers keep up with a fast-moving market, identifying and sharing new learnings that can be used to better support our clients. As part of your role, you will be expected to support or drive to the following activities: Client Advisory and Delivery Help clients realise their More ❯

Job Title: AI Engineer Job Description We are seeking a highly skilled and innovation-focused Generative & Agentic AI Engineer to join our AI engineering team. This role is central to designing, developing, and iterating on fast-paced prototypes that explore the latest in … LLMs, autonomous agents, semantic search, and reasoning workflows. The ideal candidate is proficient in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. Responsibilities Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and A2A task agents. Implement agentic … Chroma, and PosgreSQL for contextual retrieval. Incorporate semantic search and embedding strategies for more relevant and grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon More ❯