"data ai platform" Jobs
719 open tech roles matching “data ai platform”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 719 results
Own and grow strategic public sector accounts in the UK government, leveraging data and AI to enhance services and productivity.
Join Fireworks AI as an AI Field Engineer to build production systems for generative AI with large organizations across EMEA.
Lead the charge in acquiring new logos and expanding accounts in the UK & Ireland for Databricks.
Join Databricks as an Enterprise Account Executive to drive growth in the Retail sector through strategic partnerships and complex sales cycles.
Lead the design and evolution of MoonPay's data platform while providing technical leadership and hands-on implementation.
Join Databricks as a senior Account Executive to drive the adoption of Data and AI solutions in a strategic role based in London.
Join Ineffable Intelligence as a Platform Engineer to shape the infrastructure for groundbreaking AI research in London.
Join DeepL as a Senior Full-Stack Engineer to own revenue-critical systems and drive impactful technical decisions in a fast-paced environment.
Lead a small team of engineers at Databricks, focusing on hands-on technical leadership and project execution in the Lakebase product.
Recruit and develop channel partners to drive customer adoption and revenue in a hybrid workplace at Datadog.
Lead global field and partner marketing at DeepL, shaping engagement strategies for enterprise customers and partners.
Lead the Diagnose & Prescribe team at Multiverse, focusing on AI-native solutions for learner and employer needs.
Join Together AI as a Staff Software Engineer to build systems that automate infrastructure management for AI clusters.
Join Databricks as a Sr. Solutions Architect to engage with complex customers and drive the adoption of the Data Intelligence Platform.
Lead fine-tuning and development of multimodal models for document translation at DeepL.