Lead Machine Learning Engineer
- birmingham, west midlands, B3 1LN, United Kingdom
- Permanent·Hybrid
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is a rapidly growing technology firm based in Birmingham , specializing in innovative applications of AI and Emerging Technologies . They are seeking a highly experienced Lead Machine Learning Engineer to spearhead their machine learning initiatives. You will be responsible for designing, developing, and deploying robust ML models that drive critical business decisions and enhance product capabilities. This role offers a unique blend of technical leadership, hands-on engineering, and strategic input, working within a hybrid model that balances collaborative office time with remote flexibility. Join a team dedicated to building intelligent solutions that have a tangible impact on our industry.
Key Responsibilities
- Lead the design, development, and deployment of scalable machine learning systems and pipelines.
- Collaborate with data scientists and software engineers to integrate ML models into production environments.
- Mentor and guide a team of machine learning engineers, fostering a culture of technical excellence and innovation.
- Optimize ML models for performance, accuracy, and efficiency across diverse datasets.
- Define and enforce best practices for MLOps, model monitoring, and version control.
Requirements
- Master's or Ph.D. in Computer Science, Data Science, or a related field.
- 5+ years of professional experience in machine learning engineering roles.
- Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Proven experience in deploying and managing ML models in production using cloud platforms (AWS, Azure, GCP).
- Demonstrated leadership experience, with the ability to guide and inspire a technical team.
Benefits
- Competitive salary and comprehensive benefits package.
- Hybrid work model offering flexibility and work-life balance.
- Opportunities for professional growth and advanced training.
- State-of-the-art office facilities in Birmingham .
- A dynamic and collaborative work environment focused on innovation in AI.


