Machine Learning Engineer - Spark, Distributed Computing, Deep Learning Frameworks, AWS, C/C++, Java, Python, Shell Scripting, Scalable Systems Architecture, Real Time Data Processing, Data Regression Models

Responsibilities:

• Define project objectives and lead ML system architecture.
• Adapt ML techniques for parallel computing environments.
• Assess and improve existing ML systems.
• Guide development of scalable ML solutions.
• Troubleshoot complex performance issues.
• Collaborate with engineering on code delivery.

Qualifications:

• Experience in machine learning, recommendation systems, or related fields.
• Proven ability to develop ML models from inception to impact.
• Proficient in C/C++, Java, and Scripting languages like Python.

Preferred:

• Master's or PhD in Computer Science or related field.
• Familiarity with large-scale software architectures.

London/Hybrid

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