> Markdown version of [/jobs/ext/3179695-senior-ai-engineer-databricks-uk](https://www.wearedevelopers.com/jobs/ext/3179695-senior-ai-engineer-databricks-uk). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer (Databricks) - UK - **Company:** Datapao - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £80,000.0 - £100,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Visualization, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Pytorch, Large Language Models, Apache Spark, Deep Learning, Generative AI, Data Lakes, AI Platforms, Pyspark, Scikit Learn, Machine Learning Operations, Databricks - **Published:** September 30, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5903631393 ## About the Role * You have 5+ years of experience in AI or Machine Learning Engineering with a focus on cloud platforms (preferably Azure or AWS, but GCP is also ok); * You are proficient in MLOps using MLflow - taking models from local environments to fully automated, monitored production pipelines; * You have experience building production systems in Databricks or in a comparable enterprise cloud environment, utilizing PySpark, SQL, Delta Lake, Unity Catalog (or similar enterprise governance), and Databricks AI features; * You have a good understanding of Large Language Models (LLMs) and experience implementing them using modern frameworks and libraries (e.g., LangGraph, Provider-specific agentic frameworks, like Claude Agents SDK) * You have strong Python knowledge of the most common Data Science and ML libraries * You have good knowledge of data visualization tools/libraries * [BONUS]: Proficiency in deep learning frameworks (PyTorch/TensorFlow) or distributed computing (Spark). Consulting & Client-Facing Skills * Ideally, you bring a proven track record in consulting, from scoping and requirements gathering to solution design and effective stakeholder communication. If you bring a product company background with you, that's also fine as long as you can show a good consulting mindset and desire to be customer-facing; * You've successfully delivered projects like end-to-end, fully automated ML solutions, or production-ready Generative AI applications in Databricks or in a comparable enterprise cloud environment * You excel in explaining technical concepts to non-technical audiences and drive decision-making. Operational Readiness & Soft Skills * You're (almost) ready to hit the ground running, immediately contributing to live client projects. * In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving come naturally to you. Furthermore, resilience and thriving in the face of challenges are essential traits in our industry. * Your communication skills are on point - whether you're writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop. ## Description Project Planning & Delivery * Technical Architecture: Lead the technical scoping, design high-level architectures, and define the roadmap for AI and Generative AI solutions. * Execution & Leadership: Take ownership - either delivering the project independently or acting as the Delivery Technical Lead for a small team of engineers. * Customer Interface: Serve as the primary technical contact for our customers, ensuring the systems you build solve their specific business challenges. * Strategic Advisory: Between active project cycles, act as a senior technical advisor for our EMEA customers and Databricks partners to navigate complex Generative AI and traditional Machine Learning challenges. AI & Platform Consultancy * Production-Grade Solutions: Build robust and scalable solution architectures that leverage the latest technologies * Enablement: Lead technical workshops to empower client teams, ensuring they have the expertise to manage and scale the AI platforms you help them deploy.