1 to 25 of 260 Google Jobs in London

applications using LLMs, LangChain, RAG pipelines, and other emerging frameworks. Experiment with new AI technologies (e.g. vector databases, embedding models, prompt optimisation, AI agent, Google AI Studio/Gemini) and assess their value to the agency. Managing and improving our cloud infrastructure structure and data pipelines; help deploy and manage ...

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 ...

Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar ...

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 ...

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 ...

/ML. Experience in implementing cloud-based AI/ML workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot. Experience in architecting scalable, performant ...

projects, you're solving problems that don't even have answers yet. You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely ...

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 ...

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 ...

macOS AND Windows environments, including endpoint management and hardware troubleshooting Kandji (Iru) knowledge or similar MDM Proven experience managing cloud-based platforms such as Google Workspace and Okta Strong networking and security expertise (WLAN, VLANs, firewalls, ACLs, VPNs, switching) Experience with AWS (preferred) and/or Microsoft Azure, with exposure ...

real time gameplay infrastructure, and network synchronization mechanisms. • Experience developing with Unreal Engine is advantageous. • Hands on experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure, including knowledge of their core services and architectural patterns and the ability to design backend systems suited to real world applications. ...

managing AI model development and deployment at scale. Understanding of actuarial principles and insurance analytics. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. Relevant certifications in AI, machine learning, or data science. Key Responsibilities – Head ...

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 ...

mobile applications Strong understanding of AI technologies and ability to integrate AI/ML into healthcare products Experience with cloud platforms such as AWS, Google Cloud, or Azure and DevOps practices Knowledge of healthcare data privacy standards including GDPR and HIPAA compliance Skilled in architecture design for scalable, secure ...

stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage ...

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 ...

large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures, APIs, microservices, and event-driven systems. ...

client and partner engagements, from pre-sales to post-implementation assurance. Represent Sprint Reply as a technical ambassador with partners like Microsoft, AWS, and Google, aligning solution strategies to evolving platform innovations. About the Candidate: 10+ years’ experience in solution or enterprise architecture, with a strong background in AI-powered ...

Identity architecture leveraging cloud native and/or other IAM solutions. Advanced, practical experience of cloud hosting services including, Amazon Web Services, Microsoft Azure, Google Cloud Platform. Hands-on experience of Microsoft Active Directory/Azure AD Domain Services, Federation Services, Certificate Services, DNS and DHCP. Understanding of decentralised identity ...

required Audio and video processing - Understanding of audio and video processing principles Virtualisation & Cloud Computing – proficiency with virtualisation and cloud computing eg AWS, Azure, Google Cloud platforms. Multiplexing - Proficiency in encoding and multiplexing technologies Diagnostic tools - Proficiency in diagnostic engineering tools and software Analytical and technical problem-solving skills ...

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 ...

What We’re Looking For Strong experience as an AI/ML Engineer or Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup ...

that take ownership of business outcomes and work with humans to deliver them. We're a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex ...

that take ownership of business outcomes and work with humans to deliver them. We're a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex ...

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 ...