Machine Learning Engineer – Hybrid Working

JR United Kingdom; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative company is seeking a talented Machine Learning Engineer to join their dynamic team in London. This role offers the chance to work on an AI-driven SaaS platform that automates outreach campaigns for major publishing clients. You'll develop and maintain machine learning models, leveraging your expertise in Python, scikit-learn, Kubernetes, and AWS. Enjoy a hybrid working arrangement with significant autonomy in a collaborative environment. If you're passionate about machine learning and ready to make an impact, this opportunity is perfect for you.

Benefits

Regular team events

Qualifications

• Experience in developing machine learning models and systems.
• Strong knowledge of Python and relevant ML libraries.

Responsibilities

• Develop and maintain machine learning models and systems.
• Implement MLOps practices for efficient model deployment.

Skills

Python

scikit-learn

Kubernetes

AWS

MLOps

Job description

Job Description: Machine Learning Engineer – Hybrid Working, London

Client: Oliver Bernard

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 4

Posted: 28.04.2025

Expiry Date: 12.06.2025

Overview

Location: London, EC4N 6AP

Working Arrangements: 2-3 days per week in the office

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 for their clients.

Role

Seeking a talented Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) to develop their business-critical platform. The role involves working end-to-end on their ML platform with significant autonomy, within autonomous, cross-functional teams responsible for critical platforms.

Responsibilities

• Develop and maintain machine learning models and systems
• Work with Python, scikit-learn, Kubernetes, and AWS
• Implement MLOps practices

Benefits

• Regular team events

If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) interested in this opportunity, please apply below, and I will contact you with more details.