1 to 25 of 208 Google Jobs in the South East

for reproducibility, experimentation, and responsible AI. Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus. Benefits Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for More ❯

Snowflake, Databricks). · Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques. · Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). · Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow etc · Good knowledge of stream and batch More ❯

Exposure to the insurance industry.* Experience with traditional data science techniques in Python.* Experience building solutions using generative AI (particularly Gemini).* Experience working with Azure and/or Google Cloud Platform (GCP).* Ability to understand and interpret technical design documents.* Strong communication skills, with the ability to work effectively with diverse stakeholders across disciplines.* Experience in Agile methodologies. More ❯

analysis and margin optimisation . 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, and margin analysis . Excellent More ❯

framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework - 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 Python BAML - LLM prompt engineering More ❯

have PhD in a relevant field. Familiarity with agronomy concepts and agricultural systems. Expertise in deep learning techniques. Experience with cloud-based geospatial processing and big data technologies (e.g., Google Earth Engine, Spark). Additional Information Location: Remote working is possible within UK. Portfolio submission: Please provide examples of relevant geospatial data science projects. What we offer? Extensive benefits package More ❯

exhibition). Experience with partner co-op marketing. Familiarity with design tools (Canva, Adobe InDesign) and video editing tools (Adobe Premiere Pro). Knowledge of analytics platforms such as Google Analytics, Semrush, or similar tools. PERSONAL QUALITIES Excellent organizational, communication, and interpersonal skills. Self-starter with the confidence to manage campaigns independently. Collaborative mindset with the ability to build strong More ❯

personal engineering standards. You lead by 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 in fintech, lending or other More ❯

skills in Python Experience with AWS or GCP 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 and technical More ❯

Experience with TypeScript. Familiarity with GraphQL or other modern data-fetching technologies. Experience in integrating message brokers (e.g., RabbitMQ, Kafka). Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of microservices architecture and related tools. Experience with testing frameworks like Mocha, Chai, or Jest. Familiarity with front-end technologies like React, Vue, or Angular is a plus. More ❯

Languages: C#, Python, SǪL Tech Stack: Azure GCP, DDD, EDA, Microservices, API Integration, Distributed Systems Architecture Frameworks: TOGAF, Well Architected, CNCF Cloud Platforms: Microsoft Azure, K8s, familiarity with AWS, Google Cloud Platform Must Have : TOGAF certification, Cloud experience (Azure), Terraform, CI/CD (ADO/GHA), API design and integration Technologies: EDA, Microservices, API Integration, DDD, Distributed Systems Tools: Visio More ❯

and identify automation opportunities. Skills & 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 ETL/ELT processes and data More ❯

end functionalities. Optimize mobile applications for performance and responsiveness . Ensure security by design , GDPR compliance, and accessibility standards in front-end code delivery. Deploy apps to iOS and Google Playstore . Apply DevOps concepts and use Azure ADB2C and cloud services (API management, App Service, Azure configurations). Conduct code reviews and maintain front-end code quality and best More ❯

ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong understanding of Git/GitHub workflows and DevOps tooling More ❯

ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong understanding of Git/GitHub workflows and DevOps tooling More ❯

A self-starter with an analytical mindset and ability to work autonomously. Experience with Digital/Social Media Data and APIs. Knowledge of Salesforce Sales/Marketing Cloud or Google Analytics. Background in BI tool migration/implementation. What you'll get in return Enjoy hybrid working (one day a week in the office) 25 days holiday (+ bank holidays More ❯

Design and build complex, full-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 AI to structure and enrich data More ❯

cybersecurity risk management (essential) Excellent problem-solving skills and attention to detail (essential) Strong communication and collaboration skills (essential) Proven experience with cloud platforms such as AWS, Azure, or Google Cloud and IoMT solutions (desirable) Knowledge of medical device software lifecycle processes (desirable) Familiarity in programming languages such as Python, Java, C# or C/C++ (desirable) Proven experience with More ❯

design patterns. Bonus Points for: 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: 25 Days of Annual Leave More ❯

/BAML — LLM frameworks Langfuse, LangSmith — Observability Pandas, NumPy, scikit-learn, PyTorch — Data & ML stack Data & Infrastructure BigQuery — Cloud data warehouse PostgreSQL — Application data Pulumi — Infrastructure as Code (TypeScript) Google Cloud Platform (GCP) — Cloud provider GitHub Actions — CI/CD Docker/Kubernetes — Containerisation Cloudflare — CDN and DNS Frontend & Backend TypeScript, + React, Tailwind CSS, Shadcn UI, Radix UI Why More ❯

no flexibility) We're working 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 to join their Product Analytics More ❯

Product Adoption Define and track key 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 with Analytics tools AI More ❯

warehouses (BigQuery, Snowflake, Redshift, etc.). 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 working. Broad remit with real More ❯

version control and building CI/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 the capability to bring MLOps More ❯

language models for product catalogues, speech processing pipelines with web integration, MLOps platforms, rapid model serving, and real-time inference systems with corresponding user interfaces Cloud-Native Deployment: Ideally Google Cloud Platform expertise including rapid Cloud Run deployments, Vertex AI, Vector Search for product recommendations, Pub/Sub for order processing, monitoring, frontend hosting solutions, and Infrastructure as Code Performance More ❯