4 of 4 Remote Vertex AI Jobs in Central London

with management of regular commercial freight logistics and specialising in providing comprehensive services for the movement of high-niche market products, are looking to recruit a talented Technology & AI Projects Manager to be based at offices in the London Heathrow area. On Offer: An opportunity to join a world class logistics company with great potential for future growth … the role: Our client is embarking on a multi‐year digital transformation. Implementing new EDI/API connections, enhancing the company’s Transport Management System (TMS), launching an AI‐enabled customer portal, and embedding data‐driven decision‐making across the organisation. Reporting to the CEO (and dotted line to COO/Head of IT) The Technology & AI …/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic More ❯

Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and … standards for documentation, security, and model explainability in compliance with industry regulations (GDPR, CCPA, etc.). Participate in architecture design sessions and provide input into strategic decisions regarding AI/ML tooling and GCP adoption. About You: Experience: 5+ years of experience in machine learning engineering, preferably in Ad Tech, Mar Tech, or related high-scale environments. Strong … proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Deep understanding of supervised, unsupervised, and reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops More ❯

Generative & Agentic AI Engineer - Google/GCP focus Location: London (remote-first) Salary: £80,000 – £130,000 (DOE) + 10% bonus We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus and who has personal, tangible credibility working with Google, to join a forward-thinking AI … pushing the boundaries of what's possible with large language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied … or Autogen. Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI innovation, where your work will directly shape how next More ❯

pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a data lake/lakehouse environment on GCP. Engineering Best Practices: Proficiency with More ❯