Principal ML Engineer: MLOps & AI for Offshore Energy

James Fisher Energy; Westhill; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading energy services company in the UK is seeking a Principal Machine Learning Engineer to design and implement advanced machine learning solutions. You will lead projects in the Digital Innovation team, focusing on ML infrastructure for offshore wind and large-scale energy projects. Strong expertise in Python and cloud platforms is essential, along with leadership skills. This role offers an opportunity to impact the future of energy with innovative ML strategies.

Qualifications

• Expertise in Python and key data science libraries.
• Hands-on experience with cloud platforms and infrastructure tools.
• Proven ability to implement MLOps practices.
• Strong background in distributed computing and real-time data streaming.
• Excellent communication and stakeholder engagement skills.
• Demonstrated leadership in mentoring teams.

Responsibilities

• Lead the design and deployment of machine learning solutions.
• Define and implement MLOps best practices.
• Architect and optimise ML infrastructure.
• Research and prototype advanced ML models.
• Collaborate with cross-functional teams.
• Mentor junior ML engineers and data scientists.
• Establish documentation and monitoring standards.
• Engage senior stakeholders and influence AI strategy.

Skills

Python

Machine Learning/AI knowledge

Cloud platforms (AWS, Azure, GCP)

MLOps practices

Communication skills

Leadership

Tools

NumPy

Pandas

Scikit-Learn

PyTorch

TensorFlow

Terraform

Kubernetes

Docker

Kafka

Spark

Ray

Job description

A leading energy services company in the UK is seeking a Principal Machine Learning Engineer to design and implement advanced machine learning solutions. You will lead projects in the Digital Innovation team, focusing on ML infrastructure for offshore wind and large-scale energy projects. Strong expertise in Python and cloud platforms is essential, along with leadership skills. This role offers an opportunity to impact the future of energy with innovative ML strategies.