Open roleExternal
Lead Machine Learning Engineer
- coventry, west midlands, CV1 1DZ, United Kingdom
- Remote
- Full time
- £90,000 - £90,000 Per Annum
Job Description
About the Role
Our client is looking for an experienced and visionary Lead Machine Learning Engineer to spearhead the development and deployment of advanced machine learning systems. This role is critical in building scalable, robust ML infrastructure and leading a team of talented engineers. You will work on challenging problems, leveraging vast datasets to create intelligent solutions that drive business value. This position, based in Coventry, West Midlands, UK , is offered on a fully remote basis, providing exceptional flexibility for top candidates passionate about the practical application of AI and aiming to make a significant impact within a forward-thinking organization.
Key Responsibilities
- Lead the design, development, and deployment of production-grade machine learning models and pipelines.
- Architect scalable and efficient ML infrastructure, ensuring reliability and performance.
- Collaborate with data scientists and software engineers to integrate ML solutions into existing products and services.
- Mentor and guide a team of machine learning engineers, fostering best practices and technical excellence.
- Stay abreast of the latest advancements in ML engineering and advocate for their adoption.
Requirements
- Master's or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Extensive experience in machine learning engineering , with a strong focus on production systems.
- Proficiency in programming languages like Python, Scala, or Java, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Proven ability to lead technical projects and mentor engineering teams.
Benefits
- Highly competitive salary and potential for performance bonuses.
- Significant impact on AI strategy and product development.
- Fully remote work arrangement with flexible hours.
- Comprehensive health, dental, and vision insurance plans.
- Generous budget for professional development, conferences, and training.