1 to 25 of 690 Google Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Mistral Large, LLaMA 3, Cohere 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 Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting 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 ❯

driven design Demonstrated ability to deliver production grade AI solutions that integrate data pipelines, models and orchestration logic across multi-cloud or hybrid environments Certifications across AWS, Azure or Google Cloud Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic Prior involvement in digital transformation or AI native product development within enterprise settings More ❯

driven design Demonstrated ability to deliver production grade AI solutions that integrate data pipelines, models and orchestration logic across multi-cloud or hybrid environments Certifications across AWS, Azure or Google Cloud Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic Prior involvement in digital transformation or AI native product development within enterprise settings 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 ❯

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 ❯

Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering. Utilize modern GenAI toolkits and libraries, including: PyTorch LangChain, LangGraph, Model Context Protocol, Google's Agent Development Kit (ADK), and similar agentic frameworks. Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code 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 ❯

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 ❯

big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus. Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits More ❯

big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus. Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits More ❯

d love to hear from you. Apply today to learn more about this opportunity. Desired Skills and Experience Python, Node, Node.js, AWS, Amazon Web Services, Azure, Microsoft Azure, GCP, Google Cloud Platform, VP, VP of Engineering, CTO More ❯

evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Research experience (e.g., Master’s project, internship at research organization). Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure More ❯

evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Research experience (e.g., Master’s project, internship at research organization). Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure More ❯