1 to 25 of 469 Permanent Google Jobs in the UK

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 ...

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 if showing architectural understanding and genuine motivation to move into this field would be considered Familiarity ...

developing junior consultants while maintaining delivery excellence Technical Experience: Proficiency in Python, R, or PySpark Experience with cloud data platforms such as AWS, Azure, Google Cloud, or Databricks Knowledge of DevOps and MLOps principles for deploying AI solutions into production environments Experience working with Agentic and Generative AI platforms ...

hands-on sales execution and revenue generation. Ecosystem Knowledge: Deep understanding of the Databricks ecosystem, as well as surrounding players like AWS, Azure, and Google Cloud. Leadership: Experience managing cross-functional teams (Sales, Marketing, Technical) without necessarily having them all as direct HR reports (matrix management excellence). Sales Expertise ...

enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge 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 ...

ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models. Develop and deploy AI agents using Databricks, Google AI Studio and/or Azure AI Foundry. These agents are the primary user interface for the product — so this is genuinely central to what ...

alerts, sensible SLOs. Comfortable on-call, you conduct thorough post-incident reviews and turn fixes into lasting improvements. Security and compliance aren’t afterthoughts - Google Workspace as IdP/SSO, least privilege/RBAC, patch/vuln management, and practical ISO 27001 control implementation with clean evidence. You help staff ...

analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer ...

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 ...

engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success through model accuracy ...

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 ...

building, deploying and integrating enterprise applications Excellent system design and problem-solving skills Excellent communication and client management skills Excellent knowledge of cloud technologies, Google Cloud and Hybrid architectures Proficient in networking, Security, Architecture design and Documentation standards Ability to comfortably and credibly present to senior management Ability to articulate ...

initiatives that drive measurable business outcomes. Our team builds and optimises the ML models that power metasearch bidding and auction strategies across key partners (Google Hotel Ads, Trivago, Tripadvisor). As a senior technical leader, you will own end-to-end ML solutions for a domain area, define the technical ...

modern back-end technologies (Node.js, Java, Python). SQL and NoSQL database experience and RESTful API integration. Exposure to cloud platforms (Azure, AWS, or Google Cloud). Proven experience leading developers and delivering secure, high-quality applications in Agile environments. Desirable Experience with Dataverse, Jira, or Azure Boards. Familiarity with ...

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 ...

Advantageous To Have AWS Specialty certifications (e.g. Security, Advanced Networking, Machine Learning). Experience working with other cloud platforms such as Azure or Google Cloud. What’s In It For You In addition to a competitive basic salary, Accenture offers an extensive benefits package including 25 days’ annual leave, private ...

/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 ...

design teams, good customer-facing and diagnostic skills, and the ability to work under pressure, and automate deployments (infrastructure as code). Desirable: Azure & Google Cloud experience; Linux administration; MCSA/E/D; SC Cleared To be willing to work towards or have achieved, the AWS Solutions Architect Associate ...

time-critical operations Real-time accessibility Develop live captioning and transcription systems to support inclusive services Work with ASR technologies (e.g. Whisper, Deepgram, Google Speech API) Address challenges like low-latency transcription and speaker diarisation Responsibilities: Support the design and testing of AI-driven solutions across client and internal projects ...