MACHINE LEARNING ENGINEER
We are seeking another highly skilled and experienced ML Engineer to join our client's well-established team in London. In this role, you will be responsible for building and maintaining their data infrastructure, as well as productionising machine learning models and algorithms.
Key responsibilities:
- Build and maintain a robust and scalable data infrastructure that enables efficient data processing and model training
- Work closely with data scientists to productionise machine learning models and algorithms
- Collaborate with software engineers to integrate machine learning models into production systems
- Monitor and optimise model performance in production
- Contribute to the development of best practices and standards for machine learning engineering within the organization
- Stay up to date with the latest developments in machine learning and data engineering technologies
Qualifications:
- Strong understanding of machine learning concepts and techniques
- Proficiency in at least one programming language (ideally Python)
- Experience with data processing and storage technologies (PySpark a bonus)
- Knowledge of machine learning frameworks, such as TensorFlow or PyTorch
- Experience with cloud computing platforms, such as AWS or Azure
- Strong problem-solving and communication skills
- BS or MS in Computer Science or a related field is preferred, but not required
For more information on this and other roles, please contact me via niall.wharton@xcede.com
