11 of 11 Vertex AI Jobs in East London

About the Role: (Retail experience) We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead … Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such More ❯

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 ❯

SSL, TLS, HTTPS, OAuth2, OIDC, SAML, JWT Languages - Python/Node.js/Golang Development – REST API/Microservices Desirable Skills: Multi-Cloud Knowledge/Experience - Azure/AWS. AI/ML – Vertex AI. Engagement with major blue-chip clients/financial organisations Certification GCP Professional Certification – Associate Engineer, Data, DevOps, Developer. More ❯

Founding Backend Engineer – AI/HealthTech | Hybrid (London) Hybrid | 2–3 days/week in-office (Euston) Full-time | Permanent We’re helping build the future of clinical decision support and looking for a Founding Backend Engineer to lead the charge. This is a rare opportunity to shape the technical foundation of an AI-powered platform … analytics Build scalable infrastructure for retrieval and vector search (PGVector, Pinecone, Weaviate) Design evaluation frameworks to improve search accuracy and reduce hallucinations Deploy and manage services on GCP (Vertex AI, Cloud Run, BigQuery) using Terraform and CI/CD best practices Collaborate cross-functionally with product, clinical, and mobile teams to iterate fast and deliver impact … Embed security, GDPR compliance, and testing best practices into the core of our stack Tech Stack Python • FastAPI • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • GitHub Actions • LangChain/LlamaIndex What We’re Looking For 5+ years building production-grade backend systems (preferably in Python) Strong background in search, recommender 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) My client, an innovative accelerator company specializing in digital transformation, working with a diverse range of clients is looking for a strong AI … 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 Translate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem. Advise on which KPIs … 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 ❯

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 ❯

About the Role Join a stealth healthtech startup founded by an ex-Google engineer , building AI tools that empower clinicians to make faster, evidence-based decisions at the bedside. We’re developing a cutting-edge platform that combines LLMs , retrieval-augmented generation (RAG) , and vector search infrastructure to deliver real-time clinical insights. As the Founding Backend Engineer … Pinecone, or Weaviate Design embedding orchestration and hybrid retrieval mechanisms Implement evaluation frameworks (BLEU, ROUGE, hallucination checks) to monitor answer quality Deploy production systems on GCP (Cloud Run, Vertex AI, BigQuery, Pub/Sub) Own observability, IaC (Terraform), and CI/CD (GitHub Actions) pipelines Collaborate with product, mobile, and clinical experts to ship weekly improvements … based and available to work 2–3 days per week in-office (London) Bonus Points Experience in healthcare, medtech, or clinical systems Familiarity with MLOps tooling (MLflow, Kubeflow, Vertex Pipelines 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 ❯

Experience deploying, implementing and configuring services and resources in GCP: Secret Manager GCS BigQuery Cloud Run Services/Functions/Containers Compute Engine Redis Managed Service Earth Engine Vertex AI Cloud Networking & Shared VPC Experience supporting & maintaining production infrastructure Strong experience with typical production support activities (dependency updates, vulnerability patching, environment enhancements etc.) Fluent in Terraform More ❯

month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering 1st of July start date. Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯