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Partnering with world class Data, AI, ML, Embedded Systems, & Robotics talent - US Co-Founder of Mentors in Machine Learning
I'm particularly proud of this partnership - one of the UK's most exciting Robotics start-ups have partnered with us to bring in a Machine Learning Engineer into a distinguished team.
As a key contributor, you will be responsible for innovation across the model lifecycle, from ideation & data preparation through to rapid experimentation to deployment and monitoring. In addition to model development, ML Engineers here help optimize and enhance MLOps infrastructure and CI/CD pipelines. Staying at the forefront of advancements in ML and MLOps is a vital aspect of your work, as you integrate emerging techniques and tools to maximize impact on business objectives. You will make a significant impact by delivering efficient and accurate data processing and interpretation, enabling next-generation capabilities in autonomy and computer vision, and helping to establish leadership in sustainable marine and renewable technologies.
Responsibilities
* Deploy and Manage ML Products – Maintain and optimize CI/CD pipelines, ensuring continuous integration and safe, reliable model releases.
* Monitor and Improve Model Performance – Proactively evaluate deployed models, identify issues, and implement enhancements.
* Drive Innovation and Experimentation – Stay updated with ML/AI advancements, prototype new concepts, and integrate emerging techniques.
* Hands-on ML Engineering – Develop model architectures, data pipelines, and leverage containerization/orchestration (e.g., Docker, Kubernetes).
* Ensure Code Quality and Best Practices – Conduct code reviews, advocate performance optimizations, and mentor team members.
* Collaborate in Agile Environments – Work cross-functionally, participate in Agile workflows, and refine processes for better ML solution delivery.
What I'm looking for:
* Proven experience designing, training, and deploying ML models in production environments.
* Passion for building scalable and reliable ML systems.
* Strong experience with MLOps practices and tooling (e.g., Docker, GitHub Actions, DVC/CML, CI/CD pipelines).
* Strong experience with ML for unstructured data, such as image, video, point cloud, sonar, radar, magnetometer, or seismic data.
* Technical expertise in AI: Deep Learning, Machine Learning, Statistics.
* Strong proficiency with Python (or similar), with a commitment to high-quality coding standards.
* Excellent awareness of software engineering and coding best practices.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Information Services
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