1 to 25 of 160 Google Jobs in London

/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch

experience writing and deploying production-grade Python. Strong coding skills and passion for data science and open-source technologies. Experience with cloud platforms (AWS, Google Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow

experience writing and deploying production-grade Python. Strong coding skills and passion for data science and open-source technologies. Experience with cloud platforms (AWS, Google Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow

Command R+, DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis

skills and the ability to respond to sudden unexpected demands Desirable criteria: Experience with CI/CD pipelines, cloud platforms (e.g., Amazon Web Services, Google Cloud Platform (AWS, GCP), Azure) and container orchestration (e.g., Kubernetes) Experience with post-incident reviews Previous involvement in driving adoption of SRE practices across

Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge of pricing, rebates

data-driven. What you’ll do as the Data Analyst: Develop and maintain Power BI dashboards and reports from multiple sources (SQL Server, Excel, Google Analytics, finance & grant systems). Write and optimise SQL queries to ensure accuracy and integrity of data. Champion best practice in data governance, security

neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups

example rather than authority. Nice to have Experience with Redis and Celery. Experience scaling multi-tenant SaaS applications. Experience with cloud platforms. (AWS, Google Cloud or Azure). Knowledge of containerisation (Docker or Kubernetes) Familiarity with SOC 2 readiness and security best practices. Experience with observability and monitoring. Background

Demonstrated experience and responsibility with data, processes, and building ETL pipelines. Experience with cloud data warehouses such as Amazon Redshift, and Google BigQuery. Building visualizations using tools such as Looker studio or equivalent Experience in designing ETL/ELT solutions, preferably using tools like Airflow or AWS Glue Solid analytical

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

Experience: Proven experience developing digital or media-focused technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with

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

Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Whats in It for You? We believe in rewarding great work. Heres what you can look forward to as part of our team

with a major UK retail group that's rapidly expanding its brand portfolio and investing heavily in digital transformation. They've recently migrated to Google Cloud Platform and are continuing to build out a robust Analytics function. As part of this growth, they're hiring a Senior Digital Product Analyst

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

performance indicators (KPIs) for AI enabled products, including accuracy, fairness, and user satisfaction Essential Experience: Relevant professional certification or equivalent experience (Microsoft, ITIL, Google analytics, PowerBI, etc) Experience in a Product analyst role with face-to-face support. Experience working with visualisation Software PRINCE2 Foundation or AGILE certification (desireable) Familiarity

backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer

enable personalised therapies. The ideal candidate will have strong Python backend development experience, preferably with FastAPI, and be proficient in cloud-native infrastructure (Google Cloud preferred), DevOps practices, and automated testing. While a background in life sciences is a plus, a passion for improving healthcare through technology is essential.

backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer

. Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User Acquisition teams. Understanding of advertising platform constraints (Meta, Google, mobile tracking). Excellent stakeholder communication and ability to work autonomously. Interest in data science concepts (e.g., LTV modelling). Why apply? Fully remote, flexible

/CD/release pipelines. Data Fundamentals: Excellent SQL skills. Nice-to-Have/Desirable Skills DevOps/CICD (Pipeline experience) GCP (Familiarity with Google Cloud Platform) Data Science (Good understanding of math/model fundamentals for optimisation) Familiarity with low-latency data stores (e.g., CosmosDB ). If you have

years' experience in analytics (digital, marketing or consultancy background desirable). Strong SQL and Python skills, with a good grounding in statistics. Experience with Google Analytics or Adobe Analytics. Hands-on dashboarding experience (Looker Studio, Tableau or similar). Comfortable working directly with clients and explaining insights to non-technical