Senior/Staff Machine Learning Engineer

ZipRecruiter; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

An innovative logistics start-up is seeking a Senior Machine Learning Engineer to join their growing team. In this role, you will develop and deploy machine learning models, collaborate with various teams, and contribute to impactful technology solutions that enhance delivery systems. With a competitive salary and benefits, this is an exciting opportunity to be at the forefront of logistics innovation.

Benefits

Competitive salary and equity package

Comprehensive health insurance

Flexible hybrid working

Free gym membership

Cycle-to-work scheme

Culture of learning and growth

Team social events

Qualifications

• 2+ years experience deploying ML models in production.
• 4+ years software engineering experience.
• Strong communication and collaboration skills.

Responsibilities

• Develop and deploy ML models for various logistics applications.
• Engineer features and set up ML infrastructure.
• Collaborate with wider technology and operations teams.

Skills

Python

Machine Learning

Communication

Collaboration

Tools

TensorFlow

PyTorch

Google Cloud

Job description

Job Description

Senior Machine Learning Engineer

About the Role

Are you ready to redefine how logistics operates in a rapidly evolving world? HUG is proud to be collaborating with an innovative start up that’s revolutionising delivery through smarter, more sustainable solutions. Their mission is to create systems that benefit communities, reduce environmental impact, and enhance the customer experience.

This is your chance to join a rapidly growing team at the forefront of logistics innovation, creating impactful technology that’s reshaping how goods move in the modern world. With recent funding secured and ambitious growth plans underway, there’s never been a more exciting time to come on board.

Responsibilities

• Develop and deploy ML models for various logistics applications.
• Engineer features and set up ML infrastructure.
• Collaborate with wider technology and operations teams.
• Spend time in the field to understand technology impact.

Requirements

• 2+ years experience deploying ML models in production.
• 4+ years software engineering experience.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms, preferably Google Cloud.
• Strong communication and collaboration skills.

Benefits

• Competitive salary and equity package.
• Comprehensive health insurance.
• Flexible hybrid working from a dog-friendly London office.
• Free gym membership.
• Cycle-to-work scheme.
• Culture of learning and growth.
• Team social events.