Sr. Data Scientist / Machine Learning Engineer - GenAI &LLM London, United Kingdom

The Machine Learning (ML) Practice team is a highlyspecialized customer-facing ML team at Databricks facing anincreasing demand for Large Language Model (LLM)-based solutions.We deliver professional services engagements to help our customersbuild, scale, and optimize ML pipelines, as well as put thosepipelines into production. We work cross-functionally to shapelong-term strategic priorities and initiatives alongsideengineering, product, and developer relations, as well as supportinternal subject matter expert (SME) teams. We view our team as anensemble: we look for individuals with strong, uniquespecializations to improve the overall strength of the team. Thisteam is the right fit for you if you love working with customers,teammates, and fueling your curiosity for the latest trends inLLMs, MLOps, and ML more broadly. The impact you will have: -Develop LLM solutions on customer data such as RAG architectures onenterprise knowledge repos, querying structured data with naturallanguage, and content generation. - Build, scale, and optimizecustomer data science workloads and apply best in class MLOps toproductionize these workloads across a variety of domains. - Advisedata teams on various data science topics such as architecture,tooling, and best practices. - Present at conferences such asData+AI Summit. - Provide technical mentorship to the larger ML SMEcommunity in Databricks. - Collaborate cross-functionally with theproduct and engineering teams to define priorities and influencethe product roadmap. What we look for: - Experience buildingGenerative AI applications, including RAG, agents, text2sql,fine-tuning, and deploying LLMs, with tools such as HuggingFace,Langchain, and OpenAI. - Extensive hands-on industry data scienceexperience, leveraging typical machine learning and data sciencetools including pandas, scikit-learn, and TensorFlow/PyTorch. -Experience building production-grade machine learning deploymentson AWS, Azure, or GCP. - Experience communicating and/or teachingtechnical concepts to non-technical and technical audiences alike.- Passion for collaboration, life-long learning, and drivingbusiness value through ML. - [Preferred] Experience working withDatabricks & Apache Spark to process large-scale distributeddatasets. About Databricks Databricks is the data and AI company.More than 10,000 organizations worldwide — including Comcast, CondéNast, Grammarly, and over 50% of the Fortune 500 — rely on theDatabricks Data Intelligence Platform to unify and democratizedata, analytics and AI. Databricks is headquartered in SanFrancisco, with offices around the globe and was founded by theoriginal creators of Lakehouse, Apache Spark, Delta Lake andMLflow. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. Benefits At Databricks, we strive to providecomprehensive benefits and perks that meet the needs of all of ouremployees. For specific details on the benefits offered in yourregion, please visit mybenefitsnow.com/databricks. Our Commitmentto Diversity and Inclusion At Databricks, we are committed tofostering a diverse and inclusive culture where everyone can excel.We take great care to ensure that our hiring practices areinclusive and meet equal employment opportunity standards.Individuals looking for employment at Databricks are consideredwithout regard to age, color, disability, ethnicity, family ormarital status, gender identity or expression, language, nationalorigin, physical and mental ability, political affiliation, race,religion, sexual orientation, socio-economic status, veteranstatus, and other protected characteristics. Compliance If accessto export-controlled technology or source code is required forperformance of job duties, it is within Employer's discretionwhether to apply for a U.S. government license for such positions,and Employer may decline to proceed with an applicant on this basisalone. #J-18808-Ljbffr