Machine Learning Engineer - Flexible Hours & Oslo Relocation

RedLine Freight Services; Oslo fylke; On-site; NOK 155,000 - 186,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Dynamic team

Flexible hours

Relocation assistance

Job summary

RedLine Freight Services is seeking a skilled Machine Learning Engineer in Oslo to design, implement, and deploy ML models that drive innovation across the product and operations teams. You will work closely with data scientists and software engineers to translate business needs into scalable solutions.

Candidates should have 2+ years in ML, strong Python or R, experience with Scikit-Learn, TensorFlow, or PyTorch, and familiarity with big data tools.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related fields.
• Minimum 2 years of experience in ML engineering or related role.
• Strong programming skills in Python or R.
• Experience with ML libraries: Scikit-Learn, TensorFlow, PyTorch.
• Familiarity with big data technologies such as Hadoop or Spark is a plus.

Responsibilities

• Develop machine learning models and algorithms to solve complex business problems.
• Implement and deploy machine learning systems in production environment.
• Collaborate with data scientists to gather requirements, analyze data, and evaluate model performance.
• Work closely with software engineers to integrate machine learning algorithms into existing systems.
• Continuously improve the performance of existing models through experimentation and optimization.
• Keep up-to-date with the latest developments in the field of machine learning.

Skills

Python

R

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related fields

Tools

Scikit-Learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

RedLine Freight Services is seeking a skilled Machine Learning Engineer in Oslo to design, implement, and deploy ML models that drive innovation across the product and operations teams. You will work closely with data scientists and software engineers to translate business needs into scalable solutions.

Candidates should have 2+ years in ML, strong Python or R, experience with Scikit-Learn, TensorFlow, or PyTorch, and familiarity with big data tools.