1 to 25 of 273 Google Jobs in the South East

at meetups, workshops, or industry conferences. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks. Cloud or AI/ML certifications (e.g., AWS Machine Learning Specialty, Google Professional Data 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 ❯

to the modern data stack tools (e.g. Snowflake, Databricks). Experience managing P&L, setting go-to-market strategy or building consulting practices. Exposure to behavioural data sources (eg Google or Adobe analytics). Benefits Benefits At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package More ❯

doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. More ❯

for clients or stakeholders. It would be great but not essential if you had experience of working in an agile team worked with Amazon Web Services, Microsoft Azure, or Google Cloud Platform a working knowledge of Git and version control principles knowledge of popular deep learning frameworks - Hugging Face Transformers library, for example. experience of building LLM applications experience of More ❯

Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and deployment. Data Skills: Expertise in data preprocessing, augmentation, and management of large datasets for training purposes. Problem-Solving: Strong analytical and problem-solving 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 ❯

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 ❯

teams, make life at Savanta feel more like working at a 'boutique' agency. Our client portfolio includes some of the world's most recognizable and valuable brands such as Google, UBS, Meta, Pandora, Vodafone, Samsung, Heineken, LEGO, Aston Martin, ING, Unilever, and the Cabinet Office. Savanta is committed to being an equal opportunities employer and continuously strives to be an More ❯

within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience in agentic frameworks (using CruxAI, Google ADK, LangGraph). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred. 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 ❯

focus on either structured data (like CRM records and support tickets), or unstructured data (like documents and emails). Computer AirSync connects everything, unifying all your data sources (like Google Workspace, Jira, Notion) into one AI-ready source of truth: Computer Memory. Powerful search, reasoning, and action Once connected to all your tools and apps, Computer is embedded in your 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 ❯

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 ❯

proposal/presentations, to onboarding delivery teams. Excellent communication and stakeholder management skills, with the ability to articulate technical concepts to non-technical stakeholders. Any experience around AWS Bedrock, Google Vertex, AI Studio would be preferable. Experience around leading teams and engagements. A degree in Computer Science, Data Science, or a related field; advanced degrees are preferred. Benefits About Digiterre 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 ❯