1 to 25 of 272 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 ❯

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 ❯

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 ❯

effectively in a team environment. Preferred Skills and Qualifications: Prior experience building Enterprise SaaS platforms and products. SAP development experience: ABAP, HANA Cloud development experience using AWS, Azure or Google Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI). Familiarity with test-driven development (TDD) or behavior-driven development (BDD). Contributions to open-source projects 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 ❯

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 ❯

helping the organisation become truly 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, and reporting processes. Present insights and 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 ❯

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 ❯

Has an open, honest, and compassionate personality, shows empathy, and demonstrates a proactive approach to tasks and challenges. Preferred Qualifications Experience working with other cloud platforms such as Azure, Google Cloud Platform (GCP), or others Familiarity with containerization technologies (e.g., Docker, Kubernetes) and microservices architecture. Knowledge of DevOps practices and tools for automation, deployment, and monitoring Active participation in open 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 ❯

scalability, security, and compliance. Broad experience with system security, operating systems, cloud infrastructure, and enterprise data management. Key Skills: Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery 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 ❯

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 ❯

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 ❯

/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 ❯

following is highly beneficial: Constraint/constrained optimisation and programming (particularly using metaheuristics for scheduling problems) in relation to both practical solvers and formal theory OptaPlanner/TimeFold or Google OR-Tools Basic containerisation via Docker MLOps platforms, services, and tools (such as DVC, MLflow, SageMaker or Weights & Biases) Agentic applications and/or conversational interfaces SQL and relational DBs More ❯

setting Knowledge of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) to manage and automate network functions. Experience with cloud-based networking and telecommunications solutions (e.g., AWS, Azure, Google Cloud). Experience implementing disaster recovery (DR) and business continuity planning (BCP) strategies for network and telecoms services in an NHS environment. Knowledge of IT service management frameworks (e.g., ITIL More ❯