Job Description
AI Engineer – Generative AI & Machine Learning (Databricks Focus)
Manchester or London | Full-time | Mid to Senior Level
Are you passionate about building scalable AI and machine learning systems — and fluent in all things Databricks? We’re hiring an AI Engineer to lead the development of next-gen solutions using generative AI, ML, and Databricks-native tools. This is a fantastic opportunity for a skilled engineer who wants to build real-world applications with Databricks at the heart of it all.
This role is ideal for someone who enjoys blending technical precision with innovation. You’ll:
* Build and manage ML pipelines in Databricks using MLflow, Delta Lake, Spark, and Mosaic AI.
* Train and deploy generative models (LLMs, GANs, VAEs) for NLP, content generation, and synthetic data.
* Architect scalable solutions using Azure, AWS, or GCP.
* Optimize performance and maintain model governance using Databricks-native tools.
* Collaborate with cross-functional teams and clients to deliver real-world AI applications.
Required:
* 4+ years in AI/ML engineering with hands-on Databricks experience.
* Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn.
* Cloud experience (Azure preferred, or AWS/GCP).
* Certifications in Databricks or Azure (e.g., Databricks ML Professional).
Why Join Us?
* Work with purpose – deliver AI that solves real-world problems for major organizations.
* Tech-forward culture – thrive in a collaborative team of AI and data specialists.
* Databricks-driven innovation – work at the forefront of platform-native development.
* Career growth – gain hands-on experience with the latest in generative AI and scalable ML systems.
* Competitive package – enjoy strong compensation, flexibility, and benefits.