Lead Machine Learning Engineer
Faculty
Lead Machine Learning Engineer Overview
| Company Name | Faculty |
| Job Role | Lead Machine Learning Engineer |
| Qualifications | Not Specified |
| Category | IT Jobs |
| Job Type | Full Time |
| Location | London |
Faculty is seeking a highly skilled Lead Machine Learning Engineer to join their innovative team. In this role, you will be responsible for designing, developing, and deploying sophisticated machine learning models to address complex challenges across various projects. You will oversee the entire lifecycle of machine learning initiatives, from data collection and preprocessing to model training, evaluation, and deployment, ensuring solutions are scalable and reliable.
Collaboration is key in this position; you will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions seamlessly into production environments. Staying current with the latest advancements in AI and machine learning is essential, as you will be expected to bring innovative ideas and techniques to the table. Mentoring junior team members and fostering a culture of continuous learning will also be part of your responsibilities.
To succeed, you should have extensive experience in building and deploying machine learning models, with strong programming skills in Python and familiarity with popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. A solid understanding of statistical analysis, data mining, and visualization techniques is necessary, along with experience working with large datasets on cloud platforms like AWS, GCP, or Azure. Proven project leadership skills and the ability to work collaboratively within a multidisciplinary team are highly valued. A degree in Computer Science, Data Science, or a related field is required, with advanced degrees preferred.
Benefits include a competitive salary, opportunities for professional growth, flexible working arrangements including remote options, access to cutting-edge technologies, and a supportive work environment that encourages innovation and teamwork.
The working pattern for this role can be remote, hybrid, or onsite, depending on the candidate’s preference and company needs.
Regarding visa sponsorship, this position is open to applicants who need visa support, as the company is willing to assist with the sponsorship process.
Degree Requirement: Not Specified
Visa Sponsorship May be
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