Machine Learning Engineer - MLOps, AWS, Databricks, AI
Posted 1 day ago by Scope AT Limited
Negotiable
Undetermined
Undetermined
London, UK
Summary: The role of Machine Learning Engineer focuses on candidates with strong coding skills and extensive experience in distributed computing, particularly in big data projects using Spark. The position requires expertise in deep learning, AI, and real-time machine learning applications, along with familiarity with AWS and Databricks. Preferred qualifications include advanced degrees in Computer Science or related fields. The role is based in London, UK, and is aimed at senior-level professionals.
Key Responsibilities:
- Develop and implement machine learning models and algorithms.
- Work on deep learning projects and AI applications.
- Handle streaming and real-time machine learning tasks.
- Utilize AWS, Databricks, and Snowflake for data processing and analysis.
- Collaborate on big data projects using Spark.
Key Skills:
- Hands-on coding skills in machine learning.
- Extensive experience in distributed computing.
- Proficiency in deep learning and AI technologies.
- Experience with real-time ML and low latency systems.
- Familiarity with AWS, Databricks, and Snowflake.
- Masters or PhD in Computer Science or related technical field.
- 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
Machine Learning Engineer - MLOps, AWS, Databricks, AI
Looking for Senior ML engineers with great hands-on coding skills, extensive distributed computing experience and who worked on big data projects with Spark
Experience in:
- Deep learning projects
- AI experience
- Streaming
- Realtime ML
- Low latency
- AWS, Databricks, Snowflake
Preferred qualifications:
- Masters or PhD in Computer Science or related technical field
- Bachelor's degree in Computer science or Engineering
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