Machine Learning Engineer, Predictive Maintenance
MaintainXFull Time
Junior (1 to 2 years)
Ashby-de-la-Zouch, England, United Kingdom
Key technologies and capabilities for this role
Common questions about this position
This is a hybrid role requiring 3 days on site and 2 days from home.
Required skills include a degree in Engineering, experience in Python programming, low-level data manipulation with binary and bitwise operations, comfort with Linux and command line, and exposure to Modbus, cloud VMs, Azure, or Git.
This information is not specified in the job description.
Baker Hughes emphasizes developing and engaging people, allowing them to bring their authentic selves to work, and invests in workforce health, well-being, and training as part of a successful team in a product development environment.
Strong candidates have an Engineering degree, Python experience, skills in low-level data manipulation and Linux, plus the ability to document work clearly, conduct independent research, and communicate effectively with technical and non-technical colleagues.
Energy technology solutions for oil and gas
Baker Hughes provides a wide range of services and products aimed at improving the performance and sustainability of businesses in the oil and gas industry. Their offerings include advanced technology solutions, consultancy services, and training programs that help clients optimize operations, enhance safety, and minimize environmental impact. The company focuses on machine asset management and health monitoring solutions, and their training services combine e-learning with classroom instruction to boost workforce competency. Unlike many competitors, Baker Hughes integrates sustainability into its core business model, emphasizing environmental, social, and governance principles. Their goal is to lead the transition to cleaner energy by reducing their carbon footprint and promoting diversity and inclusion within their workforce.