201 to 225 of 248 Vertex AI Jobs

Job Description Role: AI Engineer/AI Architect Location: London, Edinburgh Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology, and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise … what we do and the impact we have with our clients and communities.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business, and industry expertise to design and deliver some of the most challenging and high-profile technology solutions worldwide. You will work on innovative projects … with colleagues to drive collaboration from strategy through to implementation, using the latest technologies, with a focus on AI and GenAI, to help clients reach the next level. Your background will involve contributing to projects including software engineering, technology architecture, solution implementation, product selection, application strategy, or technological innovation to improve operational efficiency. Our team operates across multiple More ❯

the boundaries of what's possible in home healthcare. Together, we will continue to make a meaningful difference in the lives of millions. Your mission at Birdie: Architecting AI Solutions for Enhanced Care As a Staff AI Engineer, you will be instrumental in developing and scaling future product launches, building on our unique data set and … latest technology advancements in generative and symbolic AI. You will rapidly design, develop and maintain applied AI solutions that optimise workflows for our partners, working in close partnership with our existing product teams to directly improve the quality and efficiency of care delivery in the community. How you will contribute Develop and Deploy AI Solutions: Design … build, and deploy scalable AI products and applications that address critical challenges in home care. Analyse and Optimise User Workflows: Leverage AI to analyse user workflows and identify opportunities for optimisation, ensuring solutions align with user needs and deliver measurable improvements. Build and Maintain Scalable Production AI Infrastructure: Architect and manage robust AI More ❯

reliability engineering or a similar role. Skills: Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc. Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc Experience with automation tools (Terraform, Ansible, Puppet Familiarity with CI/CD pipelines and tools (Azure 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 ❯

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 ❯

models in real-world applications. Experience in marketing-related domains or similar data-driven industries. Proficiency in cloud-based ML tools and platforms such as AWS SageMaker, Google Vertex AI, Fabric, or MLOps frameworks. Hands-on experience with Python, TensorFlow, PyTorch, or similar ML frameworks. Why Kwalee? We believe in more than just a job—we 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 ❯

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 ❯

Datendrehscheibe (FTP servers), TARDIS API's and Google Cloud Storage (GCS). Multi-environment Deployment: Create and deploy workloads across Development (DEV), Testing (TEST), and Production (PROD) environments. AI Solutions : Implement AI solutions using Google's Vertex AI for building and deploying machine learning models. Certification Desired: Must be a certified GCP 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 ❯

tentative steps, aided by IT, to transition our infrastructure from on-prem servers into GCP to benefit from the increased scalability and to leverage the capabilities of Looker & Vertex-AI. We are regularly engaging with teams at Google on this transition and the successful candidate will represent the Financial Risk Team in these conversations. As the team that 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. … want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 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 ❯

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 ❯

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 stackfrom prompt engineering and memory management to UI and cloud deploymentusing tools like LangChain, CrewAI, and vector databases. Core … 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. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as More ❯

Responsibilities: We're hiring a hands-on AI Engineer to mentor junior engineers and support client delivery. You'll guide junior developers as they contribute to and enhance AI-powered solutions—typically combining automation and intelligence—for our clients. Your role will involve providing technical oversight, ensuring quality, and helping shape how we deliver scalable solutions. … You'll also lead the development of best practices and frameworks, creating a replicable playbook the team can follow for future projects. You should have experience shipping AI solutions like: Revenue Reconciliation Agent: Automating financial data reconciliation and reporting discrepancies. Lease Reconciliation Agent: Comparing lease data with rent rolls to identify mismatches. Legal DD Assistant: Building a document … Familiarity with PyMuPDF or pdfplumber. Experience with building APIs and custom connectors. Optional: Experience with UI frameworks like Streamlit or Gradio. Optional: Deployment/Infra experience with Microsoft AI Foundry, Google Vertex AI, or AWS SageMaker. Details: Duration: Initial 2-month contract, with the opportunity for extension to long-term. Commitment: Flexible 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 ❯

Alix is a VC-backed pre-seed startup, which focuses on bringing the latest AI innovation to pressing social problems. Primarily we work within the Social Housing industry, where there is LOTS of room to innovate. Despite our young startup status, we have been finalists for National AI inclusion awards up against over 300 established players. … Our clients include a leading disability charity and the UK’s largest Housing Association with 100,000 properties. We are revenue generating, and have an AI-forward platform, which integrates cutting-edge AI with WhatsApp to create easy-to-use powerful AI workflows. Through research-driven, co-design approaches, we strive to build ethical … Willingness to learn Strong work ethic & attitude Strong problem-solving skills Experience with or strong interest in learning frameworks for building AI applications (i.e Langchain, Langgraph, Autogen, VertexAI, etc) Understanding of modern web communication protocols, including REST APIs, WebSockets, and webhooks Understanding of Git and GitHub for version control Decent understanding of databases (SQL or NoSQL) and cloud More ❯