Open roleExternal
Lead Machine Learning Engineer
- birmingham, west midlands, B1 1BB, United Kingdom
- Permanent·Remote
- Full time
- £100,000 - £100,000 Per Annum
Job Description
About the Role
Our client is looking for a highly skilled and motivated Lead Machine Learning Engineer to join their dynamic, fully remote team based in the UK. This role is critical for designing, building, and deploying scalable machine learning systems that drive innovation across our product portfolio. You will lead a team of talented engineers, architecting robust ML pipelines, and ensuring the successful integration of AI capabilities into our core services. This is an exceptional opportunity for an experienced ML professional to make a significant impact, work on challenging problems, and contribute to a forward-thinking company culture that values autonomy and technical excellence.
Key Responsibilities
- Lead the design, development, and deployment of production-level machine learning models and systems.
- Architect and implement scalable ML pipelines, from data ingestion and feature engineering to model training and inference.
- Collaborate with data scientists and software engineers to integrate ML solutions into existing products and services.
- Mentor and guide junior machine learning engineers, fostering a culture of technical excellence and continuous learning.
- Stay abreast of the latest advancements in ML technologies and best practices, advocating for their adoption where appropriate.
Requirements
- Master's or PhD degree in Computer Science, Engineering, Statistics, or a related field.
- Extensive experience (5+ years) in machine learning engineering, with a proven track record of shipping ML products.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools and practices.
- Excellent leadership, communication, and problem-solving skills, with the ability to thrive in a remote setting.
Benefits
- Highly competitive salary and bonus structure.
- Fully remote work environment with flexible hours.
- Generous stock options and equity grants.
- Comprehensive private healthcare and wellness programs.
- Annual budget for professional development, conferences, and training.