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!
