Machine Learning Engineer - Hybrid Working

ZipRecruiter; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

An innovative company is looking for a talented Machine Learning Engineer to join their AI-driven SaaS platform for the publishing industry. In this role, you will leverage your expertise in Python, scikit-learn, and Kubernetes to develop and maintain critical machine learning applications. Enjoy the flexibility of hybrid working while being part of a dynamic team that values autonomy and collaboration. This is a fantastic opportunity to make a significant impact in a forward-thinking organization that partners with major publishing companies. If you're passionate about AI and ready to take your career to the next level, we want to hear from you!

Benefits

Hybrid working

Regular team events

Qualifications

• Experience in Machine Learning with a focus on Python and scikit-learn.
• Proficiency in cloud services like AWS and container orchestration with Kubernetes.

Responsibilities

• Develop and maintain the ML platform with significant autonomy.
• Collaborate in cross-functional teams to enhance business-critical applications.

Skills

Python

scikit-learn

Kubernetes

AWS

MLOps

Java

TensorFlow

PyTorch

Job description

Job Description

Location: London, EC4N 6AP

Working Arrangements: 2-3 days per week in office

Salary: £50,000 - £70,000

Industry: SaaS

Tech Stack: Python, scikit-learn, Kubernetes, AWS

Great opportunity for a talented ML Engineer with experience in Python, scikit-learn, Kubernetes, and AWS to join an AI-driven SaaS platform for the publishing industry.

The Company

A market-leading business working with publishing giants such as The Times and The Guardian. Their AI-driven SaaS platform automates social media and email outreach campaigns.

The Role

Seeking a Machine Learning Engineer skilled in Python, scikit-learn, Kubernetes, and AWS to develop their business-critical platform.

You will work end-to-end across their ML platform with a significant level of autonomy.

The ideal candidate will operate within autonomous, cross-functional teams responsible for critical platforms.

Desired Skills

• Python, Java
• TensorFlow, scikit-learn, PyTorch
• Kubernetes
• MLOps
• AWS

Benefits

• Hybrid working
• Regular team events

If you are a skilled Machine Learning Engineer with experience in Python, scikit-learn, Kubernetes, and AWS, and are interested in this role, please apply below. I will be in touch with more details.