Machine Learning Engineer

Eden Smith Limited • London, ENG, United Kingdom • 12h ago

Job Description

Are you a Machine Learning Engineer looking to make an impact with cutting-edge AI solutions? We're on the hunt for a skilled professional to join our team and drive machine learning projects that harness the power of Azure technologies.

Role Highlights:

As a Machine Learning Engineer, you'll work at the forefront of AI and cloud technologies. You'll play a critical role in developing, deploying, and maintaining machine learning models that enhance business decision-making and customer experience.

What You'll Be Working On:

Model Development: Design, train, and optimize machine learning models using Python and the Azure ML Ops framework.
Data Pipelines: Build and manage scalable data pipelines in Azure Databricks and Azure Data Factory (ADF) to support efficient data processing.
Azure Integration: Leverage Azure services to ensure models are deployed and integrated seamlessly with existing infrastructure.
End-to-End ML Lifecycle: Own the entire ML life cycle from model development to production, applying ML Ops best practices for continuous integration and deployment.
Collaboration: Work closely with data scientists, software engineers, and stakeholders to ensure models align with business needs and maintain high standards of quality.

What We're Looking For:

Experience: Proven track record in Machine Learning Engineering, with hands-on experience in Azure Databricks, ADF, Azure services, and ML Ops.
Skills: Proficient in Python for ML model development and data processing.
Mindset: Strong problem-solving skills, attention to detail, and a passion for delivering high-impact solutions.
Communication: Excellent communication skills to work effectively with cross-functional teams and stakeholders.

Why Join Us?

Innovative Environment: Work with cutting-edge technology and make a tangible impact in the AI space.
Career Growth: We offer ample opportunities for upskilling and professional development.
Supportive Team: Join a collaborative team that values creativity and teamwork.

Candidates must be willing to work 3 days per week onsite in Central London.

Ready to take the next step in your Machine Learning career? Apply now and help us push AI boundaries with Azure!