At a Glance
- Tasks: Deploy and manage machine learning models while building and maintaining ML pipelines.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive salary, health benefits, remote work options, and growth opportunities.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make an impact in the AI field by automating model training and deployment processes.
- Qualifications: Strong Python skills and understanding of machine learning concepts required.
The predicted salary is between 60000 - 80000 £ per year.
Deploy and manage machine learning models.
Build and maintain ML pipelines.
Automate model training and deployment processes.
Monitor model performance and reliability.
Work with cloud platforms and DevOps tools.
Collaborate with data science and engineering teams.
Requirements:
- Strong knowledge of Python.
- Understanding of machine learning concepts.
- Experience with ML deployment and MLOps tools.
- Knowledge of Docker, Kubernetes, and CI/CD.
- Familiarity with cloud platforms (AWS/Azure/GCP).
- Good problem-solving and communication skills.
MLOps Engineer in London employer: Spait Infotech
As an MLOps Engineer at our innovative tech company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including flexible working arrangements and opportunities for professional development, all set in a vibrant location that fosters creativity and growth. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of machine learning technology.
