1 to 25 of 217 Google Jobs in London

Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power ...

powered solutions spanning data ingestion → model orchestration → inference services → application integrations ; ensure scalability, security, and observability. Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores (e.g., Pinecone , FAISS , Azure Cognitive Search ) and prompt strategies; optimize for latency/cost/accuracy. Architect agentic ...

quality, secure, compliant digital products) Prototyping, Proof of concept and creative solution experience is a must Cloud platform experience mandatory (Azure preferred, AWS/Google Cloud acceptable) Agile experience Senior/lead developers considered that showing architectural understanding and genuine motivation to move into this field would be considered Familiarity ...

senior stakeholders to shape AI transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ...

mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience ...

Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform (GCP) - Cloud provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning ...

architecture, solution architecture or machine learning engineering Experience implementing cloud-based AI/ML solutions across platforms such as Azure, AWS or Google Cloud Hands-on experience with Generative AI technologies and large language models Knowledge of vector databases, semantic search and embedding techniques Strong programming skills in Python Experience ...

model. Make pragmatic recommendations on role scope, process improvements, upskilling opportunities, and resourcing required to support the target state. The required tech stack is Google Big Query plus ‘Infrastructure as Code’/DBT to be confirmed. Key deliverables Documented target state BigQuery architecture and data model. Defined and implemented golden ...

machine learning. Experience implementing cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM and Vertex AI, Azure OpenAI Services and Azure ML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake Snowpark and Snowflake Cortex, and DataRobot. Experience architecting scalable, high ...

/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. ...

improvement of internal AI tooling, pipelines and architecture. Skills & Experience Technical Strong hands-on experience delivering production LLM systems using major providers (OpenAI, Anthropic, Google) Proficiency in Python or JavaScript/TypeScript for agent logic, tool integration and orchestration. Experience with vector databases (Pinecone, Chroma, Weaviate, Redis, etc.). Solid ...

Qualifications 3+ years of experience in cloud infrastructure roles, with a preference for experience in platform and devops teams Strong hands-on experience with Google Cloud Platform in production environments Proven use of Terraform (or equivalent IaC) for managing cloud resources at scale Solid understanding of cloud networking (VPCs, subnets ...

align technical projects with organizational goals Exceptional problem-solving, communication, and leadership skills Experience in cloud technologies and platforms, such as AWS, Azure, or Google Cloud, is a plus Familiarity with data security, compliance considerations, and enterprise IT infrastructure is beneficial Bachelor’s degree in Computer Science, Engineering ...

learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ML, AWS SageMaker, Google Vertex AI Databricks, LangChain, Hugging Face Ability to develop architecture artefacts (HLDs, solution diagrams, delivery models) Exceptional writing, storytelling, and stakeholder engagement skills Experience ...

optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge and Oxford graduates, and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives ...

Django framework PostgreSQL as a service (Amazon RDS) Sentry Redis/Elasticache Essential experience Cloud experience with either Amazon Web Services, Azure or Google Cloud Ability to build code-defined, reliable and well tested infrastructure on top of cloud computing systems - IaC (e.g. Terraform, AWS Copilot, CloudFormation, Pulumi) Experience ...

etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments and ideally have ...

testing, and experimental design (A/B testing). Core Technical Skills: Good working knowledge of SQL for data extraction and analysis (experience with Google BigQuery is a plus), and some experience using Python or R for analysis, modelling, or data manipulation. Analytical Methods: Exposure to analytical or modelling techniques ...

Role Overview We are seeking a Google Cloud Engineering Team Lead to join the Accenture Google Business Group (AGBG) within Accenture Technology in the UK, with a strong focus on UK public sector clients. In this role, you will lead small engineering teams to design, build and operate secure, scalable … Google Cloud solutions that enable Google-scale services for our clients. Security Clearance Requirement Any offer of employment is subject to satisfactory BPSS and SC security clearance. This requires a minimum of 5 years continuous UK address history at the point of application, typically including no periods of 30 consecutive ...

translate business needs into user stories, acceptance criteria and product outcomes. Experience using product development systems and tools (e.g. JIRA, Confluence, Azure DevOps, Google Analytics, Miro). Strong analytical and problem-solving skills, with the ability to interpret data and insight to inform product decisions. Experience working with vendors ...

combining the beauty and ease of print with the power of social media. Their key management team comprises of former top performers from Google, Apple, MSFT, NetFlix, Yahoo, Facebook, BBC Worldwide and Sony. Having raised over £300 million from well respected investors they have recently opened new offices ...

award winning website they have launched mobile apps for the iPhone and Android market, the latter of which has been featured on Google Play. They have created a real buzz in the industry have been written up in TechCrunch, The New York Times, The Guardian and many more. They ...

initiatives. Projects cover a variety of sectors and will give you the chance to build your client‐facing experience. Key responsibilities include: • Working in Google Cloud and BigQuery to support media and data projects. • Delivering analytics solutions across marketing, digital, and web analytics. • Supporting data centralisation, warehousing, and dashboard creation. ...

business the UK’s first fully AI‐powered insurer. What You’ll Do Build and operate production‐grade AI agents on GCP using Google’s ADK Integrate AI systems with policy, claims and CRM platforms via REST/JSON APIs Develop scalable RAG pipelines including ingestion, text processing and vector ...

formative stage with the chance to influence both strategy and delivery. The Role * Build and operate production-grade AI agents on GCP using Google ADK. * Develop scalable RAG pipelines including ingestion, text processing, and vector search. * Integrate AI systems with internal platforms through REST and JSON APIs. * Implement evaluation frameworks ...