Senior Machine Learning Engineer Safety

Senior Machine Learning Engineer Safety Overview

Faculty is seeking a highly skilled Senior Machine Learning Engineer specializing in safety applications to join their innovative team. In this role, you will be responsible for designing, developing, and deploying advanced machine learning models aimed at improving safety and security within various systems. Your work will involve close collaboration with data scientists, engineers, and safety experts to ensure that solutions are effectively integrated and meet safety standards.

Key Responsibilities

• Develop and implement sophisticated machine learning models focused on safety enhancements.
• Work with cross-disciplinary teams to embed machine learning solutions into existing products and workflows.
• Analyze safety-related data to uncover patterns, detect anomalies, and assess risks, turning insights into practical safety measures.
• Optimize models for accuracy, efficiency, and resilience in safety-critical environments.
• Keep abreast of the latest research in machine learning and safety engineering, applying new techniques as appropriate.
• Maintain comprehensive documentation of model development, testing, and deployment processes.
• Participate in code reviews, testing, and deployment to uphold high standards of quality and reliability.

Candidate Requirements

• Demonstrated experience in creating and deploying machine learning models, especially in safety or security contexts.
• Proficiency in programming languages such as Python, with experience using machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Deep understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Experience handling large datasets, building data pipelines, and working with cloud platforms for scalable solutions.
• Familiarity with safety standards, risk management, and safety-critical system requirements is a plus.
• Strong analytical and problem-solving skills, with the ability to communicate technical concepts effectively to diverse audiences.
• Educational background in Computer Science, Data Science, Machine Learning, or related fields; advanced degrees preferred.

Benefits

• Competitive salary aligned with experience and expertise.
• Flexible working options to promote work-life balance.
• Opportunities for ongoing professional development and learning.
• Work in a collaborative, innovative environment focused on impactful safety solutions.
• Potential for career advancement within a dynamic technology company.

The role does not specify the exact working pattern, so it is not explicitly stated whether it is remote, hybrid, or onsite. The company emphasizes a focus on safety and innovation in their work environment.

Regarding visa sponsorship, the posting indicates that the company offers visa sponsorship for this position, making it accessible to candidates requiring sponsorship to work in the UK.

Degree Requirement: Not Specified

Visa Sponsorship Promising