4 of 4 Remote Vertex AI Jobs in East London

forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with More ❯

AI Strategist/Decisioning Expert - AWS and GCP £600-£800 per day London based Experience: Snr Role (10+ years) 2 days Hybrid Working (onsite)/3 days Remote Working Day Rate: Highly negotiable (Top Rates) Key must have skills: Leadership quality NBA KAFKA postgreysql Dynamodb. My client, an innovative accelerator company specializing in digital transformation, working with a … diverse range of clients is looking for a strong AI Strategist/Decisioning Expert with 10+ years proven industry experience. The company mission is to drive growth and success for businesses through cutting-edge technology solutions. As they continue to expand, they are seeking an AI Strategist/Decisioning expert to join their dynamic team. Business … in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + Lambda + Step Functions : Batch ETL workflows Kafka (Confluent Cloud) : Real-time feature streams ingestion Kinesis Streams + Firehose : Traceability and telemetry More ❯

first) Salary: £80,000 – £130,000 depending on experience + 10% bonus We’re looking for a highly skilled and innovation-focused GCP Data Engineer to join our AI engineering team. This is a remote-first role (with a London-based HQ) offering the opportunity to build the data infrastructure that powers advanced generative and agentic AI … memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation (RAG) systems using tools like Pinecone … FAISS, Chroma, or PostgreSQL. Develop infrastructure to support short- and long-term memory in autonomous agents. Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform 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 ❯