Lead Machine Learning Engineer
- newcastle upon tyne, tyne and wear, NE1 4DG, United Kingdom
- Permanent·Remote
- Full time
- £85,000 - £85,000 Per Annum
Job Description
About the Role
Our client is seeking an experienced Lead Machine Learning Engineer to spearhead their advanced machine learning initiatives in Newcastle upon Tyne . You will be responsible for designing, building, and deploying scalable ML systems, leading a team of talented engineers, and driving the technical direction of AI projects. This role offers the chance to work on challenging problems with significant business impact, leveraging state-of-the-art technologies to develop intelligent solutions. If you are passionate about building robust ML pipelines and leading impactful AI development, this remote opportunity is ideal for you.
Key Responsibilities
- Lead the design, development, and deployment of production-grade machine learning models and systems.
- Mentor and manage a team of machine learning engineers, fostering a culture of innovation and excellence.
- Develop and maintain scalable ML infrastructure, including data pipelines, training platforms, and deployment systems.
- Collaborate with data scientists and product teams to translate business needs into machine learning solutions.
- Ensure the performance, scalability, and reliability of all ML deployments.
Requirements
- Master's or PhD in Computer Science, Engineering, or a related field.
- Extensive experience (5+ years) in machine learning engineering, with a proven track record of deploying models in production.
- Strong proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Demonstrated leadership skills and experience managing engineering teams.
Benefits
- Highly competitive salary and bonus structure.
- Fully remote working arrangement, offering exceptional work-life balance.
- Comprehensive health, dental, and vision benefits.
- Generous stock options and long-term incentive plans.
- Opportunities for professional growth, conference attendance, and continuous learning.


