DATAPAO

AI engineer (Databricks)

In short

DATAPAO, a Databricks-backed data engineering and AI consulting company, is hiring a senior AI Engineer to lead technical scoping, architecture and delivery of AI and Generative AI solutions for EMEA clients. The role requires 5+ years of AI/ML engineering experience on cloud platforms, strong Databricks/PySpark/MLflow/LLM expertise, and a consulting-oriented mindset with client-facing communication skills. The job is UK-based, fully remote within that context, with occasional travel to Budapest and London, and currently does not offer visa sponsorship.

About DATAPAO
DATAPAO is a data engineering and AI consulting company that delivers architecture, implementation, and enablement across the data and AI journey. Its engineers embed with client teams, and its training arm teaches professionals to use Databricks. The company is backed by Databricks and serves global brands.
Responsibilities
•Lead technical scoping, design high-level architectures, and define roadmaps for AI and Generative AI solutions
•Own technical delivery, either independently as an AI Engineer or as Delivery Technical Lead for a small team
•Serve as the primary technical contact for customers and ensure solutions address their business challenges
•Advise EMEA customers and Databricks partners on Generative AI and Machine Learning challenges
•Build robust, scalable solution architectures using the latest technologies
•Lead technical workshops to help client teams manage and scale deployed AI platforms
Requirements
•5+ Years of experience in AI or Machine Learning Engineering, focused on cloud platforms
•Proficiency in MLOps using MLflow, including automated and monitored production pipelines
•Experience building production systems in Databricks or a comparable enterprise cloud environment, using PySpark, SQL, Delta Lake, Unity Catalog or similar governance, and Databricks AI features
•Understanding of LLMs and experience implementing them with modern frameworks and libraries
•Strong Python knowledge and familiarity with common Data Science and ML libraries
•Knowledge of data visualization tools or libraries
•Consulting track record from scoping and requirements gathering through solution design and stakeholder communication, or a product-company background with a consulting mindset and willingness to work with customers
•Experience delivering end-to-end automated ML solutions or production-ready Generative AI applications in Databricks or a comparable enterprise cloud environment
•Ability to explain technical concepts to non-technical audiences and drive decisions
•Ready to contribute immediately to live client projects
•Flexible, resilient, and able to solve problems in a fast-paced consulting environment
•Strong written and spoken communication and stakeholder collaboration skills
Nice to have
•Proficiency in PyTorch or TensorFlow
•Distributed computing such as Spark
Conditions
•Location: United Kingdom
•4 weeks of paternity leave
•15 days of fully paid sick leave in the UK
•Flexible PTO
•Access to Databricks courses, paid data and cloud certifications, dedicated learning time during work hours, and an internal library
•Employee Assistance Program with psychology, financial, and legal consulting services
•Pension scheme enrollment and private health insurance via Smart Pension and AXA
•MacBook Pro and a gross sign-up bonus of 500 GBP, paid with the first payroll
•Annual bonus scheme ranging from 5.5% to 11% in the UK
•Occasional travel to the Budapest hub for onboarding and community events; monthly attendance at a London coworking space is encouraged
•Transfers and full sponsorship for Skilled Worker visas are currently unavailable

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