Machine Learning Engineer - pyspark, big data, C++, Java

Summary: The role of Machine Learning Engineer focuses on leveraging extensive distributed computing experience and hands-on coding skills in big data projects, particularly with Spark. Candidates are expected to have a strong background in deep learning, streaming, and real-time machine learning applications. Proficiency in programming languages such as Pyspark, C++, and Java, along with AWS architecture knowledge, is essential for this senior-level position.

Key Responsibilities:

• Develop and implement machine learning models using Pyspark, C++, and Java.
• Work on big data projects utilizing distributed computing frameworks.
• Engage in deep learning, streaming, and real-time machine learning initiatives.
• Optimize models for low latency performance.
• Collaborate with cross-functional teams to integrate machine learning solutions into AWS architecture.

Key Skills:

• Extensive experience in distributed computing and big data projects.
• Proficiency in Pyspark, C++, and Java.
• Strong background in deep learning and real-time machine learning.
• Experience with streaming data processing.
• Knowledge of AWS architecture.
• Master's or PhD in Computer Science or related technical field preferred.
• Bachelor's degree in Computer Science or Engineering.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT