Machine Learning Engineer; Databricks

Machine Learning Engineer Databricks in City of Edinburgh

Showing 24 Machine Learning Engineer Databricks jobs in City of Edinburgh

I’m on the lookout for an experienced engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact.

You’ll be joining a scaling B2B tech company based in Edinburgh city centre - a team tackling complex systems that are ready for serious upgrades and innovation.

• Design, build, and maintain scalable data pipelines within Databricks.
• Deploy, monitor, and support machine learning models in production.
• Take a hands‑on approach to data science, analytics, and ML solutions.
• Continuously optimise data workflows for performance, reliability, and scalability.

• Proven hands‑on experience with Databricks, Python, PySpark, and SQL.
• Machine learning experience in a cloud environment (AWS, Azure, or GCP).
• Strong understanding of ML libraries such as scikit‑learn, Tensor Flow, or MLflow.
• Solid background in data modelling, ELT/ETL processes, and analytics best practices.

If you’re ready to make an impact in a growing tech company and bring your expertise to the table - GET IN TOUCH today!

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

Our client is a pioneering force in the field of Artificial Intelligence and is seeking an exceptional Lead Machine Learning Engineer to join their fully remote, world‑class team. This is an unparalleled opportunity to architect, develop, and deploy advanced machine learning models that drive innovation across a spectrum of groundbreaking products and services. You will lead a team of talented engineers, pushing the boundaries of AI and shaping the future of intelligent systems.

• Lead the design, development, training, and deployment of state‑of‑the‑art machine learning models and algorithms.
• Architect robust and scalable ML systems for production environments.
• Collaborate with data scientists, researchers, and software engineers to translate business requirements into effective ML solutions.
• Optimize ML models for performance, efficiency, and accuracy.
• Stay at the cutting edge of ML research and development, identifying and implementing new techniques and technologies.
• Mentor and guide junior ML engineers, fostering a culture of technical excellence and continuous learning.
• Oversee the entire ML lifecycle, from data preprocessing and feature engineering to model evaluation and monitoring.
• Ensure the responsible and ethical development and deployment of AI systems.
• Contribute to the strategic direction of the company's AI initiatives.
• Communicate complex technical concepts effectively to both technical and non‑technical stakeholders.

• Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• Minimum of 7 years of progressive experience in machine learning engineering, with at least 2 years in a leadership or team lead role.
• Proven track record of successfully developing and deploying ML models in production settings.
• Deep expertise in various ML algorithms (e.g., deep learning, reinforcement learning, NLP, computer vision).
• Proficiency in programming languages such as Python and experience with ML frameworks (e.g., Tensor Flow, PyTorch, scikit‑learn).
• Strong software engineering skills, including experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent analytical, problem‑solving, and critical‑thinking abilities.
• Exceptional leadership, communication, and interpersonal skills.
• Ability to thrive in a fast‑paced, innovative, and remote work environment.
• A strong portfolio of ML projects or contributions to open‑source ML initiatives is highly desirable.

This fully remote position offers the flexibility to work from anywhere, providing the perfect environment to innovate and lead in the rapidly evolving field of AI. If you…