3 data scientist at bp london canary wharf to 12 26 contract rate jobs found in London

  London, England, United Kingdom (Hybrid)   Contract (1 year)   Published 19 days ago Data Java artificial intelligence Python GCP Machine Learning Azure microservices Job Title: Data Scientist Job Location: Canary Wharf (Hybrid- 4 days in office, 1 from home) Contract Length: Until 31/12/2026 Industry: Oil and Energy, Tech Working Hours: 8 per day/40 per week   Role Overview: Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team...

Job Title: Data Scientist Job Location: Canary Wharf (Hybrid- 4 days in office, 1 from home) Contract Length: Until 31/12/2026 Industry: Oil and Energy, Tech Working Hours: 8 per day/40 per week   Role Overview: Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders-to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications....

Job Title: Data Scientist Job Location: Canary Wharf (Hybrid- 4 days in office, 1 from home) Contract Length: Until 31/12/2026 Industry: Oil and Energy, Tech Working Hours: 8 per day/40 per week Role Overview: Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders-to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows-from data...