MLOps Engineer
Job Description
Want to be at the forefront of a technological revolution in data reduction?
I’m looking to recruit an MLOps Engineer to join a pioneering AI/ML start-up reshaping the digital landscape with its groundbreaking data reduction software. You’ll have the chance to join a team founded by some of the most respected minds in AI compression research & academia (80+ patents between them), securing their Series A of just under $10million last year, providing a runway for sensible growth and investment in the platform.
As the MLOps Engineer, you’ll be the linchpin for ensuring the seamless operation of machine learning infrastructure and pipelines. Leverage your Python prowess to troubleshoot and overcome challenges in machine learning frameworks. Finally, you’ll be the go-to expert in Python/PyTorch, ensuring the seamless operation of models, troubleshooting and debugging Python/PyTorch-related issues and bottlenecks.
Key Skills
Proven track record of writing production code in Python/PyTorch
In-depth knowledge of DevOps technologies and stacks, including Kubernetes and Docker.
Demonstrated experience in building and maintaining data pipelines for production-ready systems.
Comfortable working with machine learning models.
Location: London – 1/2 days a week
Salary: £70,000 – £80,000
Benefits: Stock Options & Private Health Care
If interested, apply to be considered as initial interviews are commencing from Monday the 5th of February.
Contact: Cengiz Jaffer
Reference: Totaljobs/BBBH16775
Job ID: 101968192
