51 to 75 of 893 Google Jobs in London

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. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with More ❯

data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with large datasets (e.g. BigQuery, Snowflake, or other cloud platforms). Strong communication skills and a problem-solving mindset. What’s on More ❯

data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with large datasets (e.g. BigQuery, Snowflake, or other cloud platforms). Strong communication skills and a problem-solving mindset. What’s on More ❯

data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with large datasets (e.g. BigQuery, Snowflake, or other cloud platforms). Strong communication skills and a problem-solving mindset. What’s on More ❯

time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with large datasets (e.g. BigQuery, Snowflake, or other cloud platforms). Strong communication skills and a problem-solving mindset. What’s on More ❯

managing our on-premises environments using Anthos, optimizing our infrastructure, and ensuring seamless integration and operation. Job Description: Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD. Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. Implement event-driven autoscaling More ❯

managing our on-premises environments using Anthos, optimizing our infrastructure, and ensuring seamless integration and operation. Job Description: Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD. Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. Implement event-driven autoscaling More ❯

managing our on-premises environments using Anthos, optimizing our infrastructure, and ensuring seamless integration and operation. Job Description: Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD. Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. Implement event-driven autoscaling More ❯

managing our on-premises environments using Anthos, optimizing our infrastructure, and ensuring seamless integration and operation. Job Description: Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD. Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. Implement event-driven autoscaling More ❯

Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied More ❯

years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds More ❯

years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds More ❯

years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds More ❯

years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds More ❯

revenue that outpaces most companies at our stage. We’re backed by top VCs, including Notion Capital and Hoxton Ventures, and we’re growing our world-class team - ex Google, Microsoft, Palantir - to take us to the next level on our mission. This is more than a job, it’s an opportunity to be part of something genuinely transformative. Are More ❯

revenue that outpaces most companies at our stage. We’re backed by top VCs, including Notion Capital and Hoxton Ventures, and we’re growing our world-class team - ex Google, Microsoft, Palantir - to take us to the next level on our mission. This is more than a job, it’s an opportunity to be part of something genuinely transformative. Are More ❯

revenue that outpaces most companies at our stage. We’re backed by top VCs, including Notion Capital and Hoxton Ventures, and we’re growing our world-class team - ex Google, Microsoft, Palantir - to take us to the next level on our mission. This is more than a job, it’s an opportunity to be part of something genuinely transformative. Are More ❯

revenue that outpaces most companies at our stage. We’re backed by top VCs, including Notion Capital and Hoxton Ventures, and we’re growing our world-class team - ex Google, Microsoft, Palantir - to take us to the next level on our mission. This is more than a job, it’s an opportunity to be part of something genuinely transformative. Are More ❯

Excellent communication, client engagement, and workshop facilitation skills Proven ability to work in matrix environments across global teams Desired skills Exposure to AI platforms like Azure AI, AWS SageMaker, Google Vertex AI Knowledge of PoC packaging and offer development for enterprise clients Experience Experience working with AI CoEs or global delivery teams Benefits Collaborative working environment - we stand shoulder to More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model explainability, and Responsible AI principles. Experience building or integrating voice-enabled chatbots and multi-modal systems. Experience working More ❯