1 to 25 of 1,146 Google Jobs in England

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 ❯

Field Solutions Architect, GenAI, Google Cloud Google London, UK Responsibilities Advise our customers by understanding the customer's business process and objectives. Architect AI driven, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture. Work with customers, demonstrate features, tune models, optimize model performance, profiling, and benchmarking. Troubleshoot and find solutions … serving models in a large-scale environment. Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Coordinate regional field enablement with leadership and work with product … data pipelines, ML pipelines, and ML training and serving approaches. Understanding of nearest neighbor search concepts. About the job As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI More ❯

TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions More ❯

and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up More ❯

with SQL, Blazor & Blazor patterns, SignalR, Azure DevOps, PowerShell, Python, MAUI. Experience with database technologies (e.g., MSSQL, MySQL, MongoDB) and ORM frameworks. Experience with cloud services (e.g., Azure, AWS, Google Cloud) and deployment strategies. Hold a full UK Driving Licence with access to your own vehicle. Desirable: Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform). Experience in More ❯

field. Tech Stack LLMs: GPT-4/5, 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 More ❯

data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD More ❯

data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD More ❯

AI/ML Exposure to the open source stack Experience in price modelling techniques Experience in managing a small data team and mentoring Some exposure to behavioural data (eg Google or Adobe analytics) 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 including compelling 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 At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package including More ❯

AI/ML. Exposure to the open source stack. Experience in price modelling techniques. Experience in managing a small data team and mentoring. Some exposure to behavioural data (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 ❯

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 ❯

/ML methods to develop intelligent data driven product features Experience in Python, R & SQL for data manipulation, modelling and scripting Experience with cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or More ❯

ES6+). Experience with TypeScript and modern development tools and practices. Experience of Test Driven or Behaviour Driven Development. Knowledge of (Cloud-Native) development and serverless architectures (AWS, Azure, Google Cloud). Familiarity with CI/CD pipelines and DevOps practices. Experience with version control systems (Git). Understanding of web standards, accessibility, performance and development best practice. Excellent problem More ❯

scientists, platform engineers, and developers to ensure seamless integration and scalable, production-grade machine learning solutions.You'll be joining an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution, a milestone that reflects our commitment to innovation, impact, and excellence in applying machine learning to real-world insurance More ❯

Atlassian Suite (Confluence, Jira, Bitbucket) Strong agile background, keen to learn and succeed across multiple teams and adapt where required. Cloud experience and awareness in AWS, Microsoft Azure or Google Cloud Platforms Experience of designing, deploying and administering Linux or Unix based solutions would be advantageous e.g. using virtualisation, containerisation, Infrastructure as Code Experience with performance monitoring tools e.g. Elastic 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 ❯

CD pipelines. Excellent written and verbal communication skills, with the ability to simplify complex ideas for technical and non-technical audiences. Nice to Have Experience with platforms like Braze, Google Analytics, Adobe Analytics, Contentful, or Sitecore. Experience across technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and 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 ❯

using Power BI, Excel, and SQL Hands-on knowledge of predictive modelling techniques (regression analysis, clustering, forecasting) Familiarity with cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud Confidence working with large, complex datasets, including data cleansing, transformation, and validation Understanding of data governance principles around data quality, security, and compliance Personal Qualities: Collaborative approach with the More ❯

predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation, and validation. Understanding of data governance principles around quality, security, and compliance. Personal Competencies Collaborative approach with More ❯

predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation, and validation. Understanding of data governance principles around quality, security, and compliance. Personal Competencies Collaborative approach with More ❯

optimise RESTful APIs with a strong focus on performance, reliability, and security. Model and query data efficiently with MongoDB (or similar NoSQL databases). Deploy and manage services on Google Cloud Platform (GCP) using CI/CD pipelines (GitHub Actions) . Troubleshoot and tune performance across distributed systems. Collaborate in an agile environment , contributing to design reviews, planning sessions, and More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯