Databricks
Full TimeDesign and implement production-grade ML and AI workloads on the Databricks platform, including end-to-end pipelines, GenAI solutions with RAG architectures and agentic systems, and MLOps lifecycle management. Requires 10+ years of hands-on data science or ML engineering experience, with expertise in LLMs, distributed Spark systems, and cloud infrastructure (AWS/Azure/GCP), plus 5+ years of customer-facing technical sales or support experience. Based in London.
Written from this posting by Neural Jobs AI. The full description is below.
ReqID: FEQ327R501
Location: London
Skills: Data Science, Machine Learning, AI, LLM, GenAI
Mission
As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader.
Impact you will have
What we look for
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Databricks builds the Data Intelligence Platform, a lakehouse architecture that unifies data warehousing, analytics and machine learning on open formats. The company originated Apache Spark, Delta Lake and MLflow.
Founded in 2013 by the creators of Spark at UC Berkeley, Databricks serves enterprises building data pipelines, analytics and AI applications at scale.
United Kingdom
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