151 to 175 of 176 Vertex AI Jobs in the UK

also cost-efficient. Our platform is built on Google Kubernetes Engine (GKE) and utilizes several other Google technologies such as Memorystore, Cloud Datastore, PubSub, Cloud Functions, BigQuery, and Vertex AI, as well as services from other vendors such as Amazon SES. In the development process, SREs provide developers with stable and performant CI and release 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 ❯

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 ❯

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 ❯

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 ❯

essential. Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector. Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs. Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced standards. Knowledge in in-memory, appliances, event processing, cloud solutions More ❯

Skills, Knowledge & Experience Highly driven, customer focussed individual, with up to date knowledge in Data & Analytics Sector Advanced knowledge on Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), APIs. Advanced knowledge of Medallion architecture, design and delivery of its components with ACORD influenced standards. Knowledge in areas including; in-memory, appliances, event processing, cloud More ❯

Founding Full-Stack Engineer (Hybrid, London) I am looking for a Founding Engineer to join an AI startup on a mission to streamline the complexity of building in the real world. You will be a hands-on Full-Stack Engineer who thrives in fast-paced environments and loves shipping real products. 🛠️ Tech Stack Frontend : Vue.js Backend : FastAPI Cloud …/DevOps : GCP, GitHub Actions Data : Supabase, Postgres/PostGIS, Vertex Pipelines AI : LLMs (Gemini, OpenAI, Anthropic, etc.) 📍 Location Hybrid: 3+ days/week in London 💼 What You’ll Do Build across the stack with high autonomy and ownership Collaborate with a driven, high-performance team Work closely with users to shape the product 🎯 About You More ❯

Founding Full-Stack Engineer (Hybrid, London) I am looking for a Founding Engineer to join an AI startup on a mission to streamline the complexity of building in the real world. You will be a hands-on Full-Stack Engineer who thrives in fast-paced environments and loves shipping real products. 🛠️ Tech Stack Frontend : Vue.js Backend : FastAPI Cloud …/DevOps : GCP, GitHub Actions Data : Supabase, Postgres/PostGIS, Vertex Pipelines AI : LLMs (Gemini, OpenAI, Anthropic, etc.) 📍 Location Hybrid: 3+ days/week in London 💼 What You’ll Do Build across the stack with high autonomy and ownership Collaborate with a driven, high-performance team Work closely with users to shape the product 🎯 About You More ❯

Platform Management: o Architect and manage GCP environments, including compute, storage, and networking components. o Collaborate with cross-functional teams to understand requirements and provide scalable infrastructure solutions. Vertex AI and BigQuery: o Hands-on experience with Vertex AI for generative AI solutions and BigQuery for data storage and analytics. … o Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP. o Implement and manage machine learning pipelines and models within the Vertex AI environment. Wiz Security Control Integration: o Integrate and configure Wiz Security Control for continuous security monitoring and compliance More ❯

LEAD AI ENGINEER LIVERPOOL 2 DAYS ON-SITE INSIDE IR35 A hands-on, innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector … A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize performance and ensure responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience … with multi-agent systems and ethical AI. Familiarity with advanced model configuration and reusable AI components. Job Title: Lead AI Engineer Location: Liverpool, UK Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set More ❯

Founding Engineer Location: Hybrid (2–3 days/week in London office) I am representing a fast-moving, mission-driven start up building an AI-powered clinical knowledge platform. What You’ll Do: Build and scale backend services (Python/FastAPI) for ingesting, indexing, and serving medical content. Develop retrieval infrastructure using vector databases (e.g. PGVector, Pinecone). … Deploy on GCP (Cloud Run, Vertex AI) with Terraform, CI/CD, and observability tools. Collaborate across product, mobile, and clinical teams to ship weekly. Ensure secure, compliant data handling What you need: 5+ years backend experience (Python preferred). Strong background in ML, search, or recommender systems. Skilled in vector search, embeddings, and LLM-based More ❯

Founding Engineer Location: Hybrid (2–3 days/week in London office) I am representing a fast-moving, mission-driven start up building an AI-powered clinical knowledge platform. What You’ll Do: Build and scale backend services (Python/FastAPI) for ingesting, indexing, and serving medical content. Develop retrieval infrastructure using vector databases (e.g. PGVector, Pinecone). … Deploy on GCP (Cloud Run, Vertex AI) with Terraform, CI/CD, and observability tools. Collaborate across product, mobile, and clinical teams to ship weekly. Ensure secure, compliant data handling What you need: 5+ years backend experience (Python preferred). Strong background in ML, search, or recommender systems. Skilled in vector search, embeddings, and LLM-based 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 ❯

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 ❯

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 ❯

for most of our data infrastructure. React for customer support tooling. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. We'd love to hear from you if You have a track record of technical excellence, delivering resilient systems, ideally behind consumer products. … to talk through reasonable adjustments ahead of or during application please us at any point on View email address on We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. Please also use that email to let us know if there's anything we can do More ❯

our production infrastructure and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. You have a track record guiding teams and stakeholders to prioritise things that drive important metrics and you take the lead in using … around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. Please also use that email to let us know if there's anything we can do to make your application process More ❯

our production infrastructure and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. We'd love to hear from you if You have a track record of technical excellence, delivering resilient systems, ideally behind consumer products. … specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . Please also use that email to let us know if there's anything we can More ❯

We're looking for a founding Staff AI Engineer role with a remote-first HealthTech company building AI products that actually make a difference. Think: applied LLMs and symbolic AI to improve how care is delivered to older adults across millions of monthly visits. This is a high-priority, greenfield hire with strong backing … real product traction, and one of Europe’s largest structured healthcare datasets. What makes this stand out: Founding AI team member, reporting directly to the Head of AI Hands-on from design to deployment, including infra and validation Strong product exposure, weekly feedback loops with care partners Stack includes SageMaker, Vertex, OpenAI APIs, PyTorch … Full-time, remote-first (UK/CET), Your Responsibilities: Designing and shipping AI-powered product features using LLMs and symbolic AI Building out scalable infrastructure for model deployment and evaluation Collaborating closely with engineers, PMs, and end users to iterate fast Integrating models with the platform through well-designed APIs Validating performance with real-world workflows More ❯

London, United Kingdom Posted on 21/04/2025 Job Description Coreloops is a modern financial management system, powered by AI, that helps construction contractors to automate cost tracking and get real-time insights on project spend. Coreloops automates hours of manual cost reconciliation so project teams can flag overspend earlier and see which cost categories are … Experience for our growing customer base. Collaborate with the founder to define project goals, scope, and technical requirements, ensuring alignment with customer needs. Explore how we can use AI model improvements to streamline our customers' day-to-day operations. Provide technical guidance, architectural expertise, and code reviews to maintain a robust and maintainable codebase. Requirements Experience working in … new platforms from scratch. Passionate about writing code that solves problems for customers. A strong sense of the need to balance speed with code quality. Experience building on AI models such as Vertex AI, OpenAI, or Llama (not required). Experience building integrations either via an IPaaS or directly, ideally with accounting & project management 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 ❯

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 ❯

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 ❯

Full-Stack Engineer Hybrid - 2/3 days in London Salary - Up to £120k ⚙️ Stack Frontend : Vue.js Backend : FastAPI Infra : GCP, GitHub Actions Data : Supabase, Postgres/PostGIS, Vertex Pipelines AI : Gemini, OpenAI, Anthropic, etc. 📍 Setup Hybrid: 3+ days/week in Central London (WeWork) 💡 You’re probably a fit if: You’ve built and shipped More ❯