Lead Machine Learning Engineer

About the Role

Our client is seeking an experienced and visionary Lead Machine Learning Engineer to spearhead their AI initiatives in Newcastle upon Tyne . You will be responsible for architecting, developing, and deploying robust machine learning systems that drive business value and innovation. This role offers the unique opportunity to build and lead a team of talented engineers, foster a culture of technical excellence, and make a significant impact on the company's strategic direction within the exciting domain of AI and emerging technologies.

Key Responsibilities

• Lead the design and implementation of end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
• Develop and maintain scalable, production-ready ML infrastructure and MLOps practices.
• Mentor and guide a team of machine learning engineers, fostering their professional growth.
• Collaborate closely with data scientists and software engineers to translate research prototypes into deployable solutions.
• Stay abreast of the latest advancements in ML engineering and advocate for their adoption where appropriate.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related field.
• Minimum of 7 years of experience in machine learning engineering or a related role, with at least 2 years in a leadership position.
• Strong programming skills in Python, with extensive experience in ML libraries (e.g., scikit-learn, XGBoost).
• Demonstrated experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Proven ability to build and scale production ML systems and understand MLOps principles.

Benefits

• Competitive salary package with attractive bonus opportunities.
• Comprehensive health, dental, and vision coverage.
• Generous pension scheme and life assurance.
• Professional development budget and opportunities for advanced training.
• Relocation assistance may be available for suitable candidates.