Machine Learning Engineer

Cavendish (recruitment) Professionals Ltd

25 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Amazon Web Services (AWS)

Unit Testing

Azure

Cloud Computing

Data Stores

Relational Databases

Python

Machine Learning

NoSQL

TensorFlow

DataOps

SciPy

SQL Databases

Data Processing

PyTorch

Large Language Models

Spark

Keras

Spark Mllib

Scikit Learn

Kubernetes

Information Technology

Machine Learning Operations

Software Version Control

Docker

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.<\/li>\r\n
Advanced Python and machine learning frameworks (Keras, SciPy, Scikit-learn, TensorFlow, PyTorch, Spark MLlib ...) knowledge.<\/li>\r\n
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).<\/li>\r\n
Strong understanding of the whole ML lifecycle and experience with MLOps\/DataOps.<\/li>\r\n
Experience with data processing frameworks like Apache Spark or similar.<\/li>\r\n
Proficiency in SQL, RDBMS\/NoSQL data stores and appropriate use cases.<\/li>\r\n
Experience with version control, small and regular commits, unit tests, CI\/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.<\/li>\r\n
Proven experience in GPU cluster development and management is a plus.<\/li>\r\n
Experience with orchestrated LLM applications is a plus.<\/li>\r\n
Strong problem-solving skills and attention to detail.<\/li>\r\n
Good communication skills, fluent English.<\/li>\r\n<\/ul>\r\n