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3 of 3 Cloud Functions Jobs in Central London
City of London, London, United Kingdom
Hybrid / WFH Options Tact
you’ll shape data strategy, lead analytics delivery, and work with global-scale datasets, all while being fully remote. From Google, Meta, TikTok, and Amazon, through to advanced cloud infrastructure (BigQuery, Cloud Functions, Cloud Run), you’ll be building, optimising, and leading analytics across a variety of cutting-edge ecosystems. This is More ❯
City of London, London, United Kingdom HCLTech
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯
london (city of london), south east england, united kingdom HCLTech
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯
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