9 of 9 Permanent Google Gemini Jobs in the UK excluding London

wider community. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source ...

wider community. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search and knowledge graphs. Actively contributes to open ...

wider community. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search and knowledge graphs. Actively contributes to open ...

model fine-tuning , solving real business problems. About the Role Design, implement, and fine-tune LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models) Build and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows ...

integrate AI capabilities across platforms. About the Role Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents ...

retrieval performance. You will be connecting to our internal Gen AI Platform's vector databases. Experience working directly with model APIs (e.g., OpenAI, Anthropic, Gemini, or internal endpoints) and managing model configuration. Familiarity with the production deployment lifecycle, including Git, CI/CD pipelines, containerisation (Docker), and consuming microservices ...

based solutions. The role focuses on practical architecture, solution design, and guiding engineering teams to build ML, GenAI, and data-driven applications on Google Cloud. You should be strong in GCP fundamentals, comfortable working with AI/ML workflows, and confident in translating business needs into technical architectures that … design ML workflows, including data ingestion, preprocessing, model development, deployment, and monitoring. Support the build of prompt-based, RAG, and LLM-driven applications using Gemini and Vertex AI Generative AI features. Collaborate with data engineering teams to integrate models with BigQuery and other GCP data services. Build MLOps pipelines ...

Bring Strong portfolio of AI-generated visual work across image or video and different media. Expertise with multiple generative models (Midjourney, Runway, Veo, Luma, Gemini, Flash, Flux etc.). Understanding of lighting, composition, framing, character design, and stylization. Experience writing detailed, structured prompts and preservation constraints. Ability to iterate ...

About the Role As an English Linguistic Expert , you will evaluate and refine AI-generated content through Reinforcement Learning from Human Feedback (RLHF) . Your primary task will be to assess the accuracy, clarity, and ...