Oilfield ML Engineer: Time-Series & Forecasting

Luxoft; Remote; GBP 50,000 - 75,000; Full time

Job summary

A leading consulting firm in the United Kingdom is seeking a skilled Machine Learning Engineer to develop data-driven solutions for Digital Oilfield systems. The role focuses on building machine learning models to enhance operational decision-making and forecasting in oil & gas environments. Candidates should have a strong foundation in machine learning, proficiency in Python, and familiarity with oilfield datasets. Experience with cloud platforms and agent-based systems is a plus.

Qualifications

• Strong background in machine learning, data modeling, and applied statistics.
• Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with oilfield datasets, including production data, sensor logs, or engineering inputs.

Responsibilities

• Develop and maintain machine learning models for oilfield data.
• Collaborate with domain experts to identify ML opportunities.
• Build models for time series prediction and classification.

Skills

Machine learning

Data modeling

Applied statistics

Proficiency in Python

Knowledge of ML libraries

Familiarity with oilfield datasets

Collaboration skills

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Job description

A leading consulting firm in the United Kingdom is seeking a skilled Machine Learning Engineer to develop data-driven solutions for Digital Oilfield systems. The role focuses on building machine learning models to enhance operational decision-making and forecasting in oil & gas environments. Candidates should have a strong foundation in machine learning, proficiency in Python, and familiarity with oilfield datasets. Experience with cloud platforms and agent-based systems is a plus.