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Senior/Staff Machine Learning Engineer

ZipRecruiter

London

Hybrid

GBP 50,000 - 90,000

Full time

18 days ago

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Job summary

An innovative startup is seeking a Senior Machine Learning Engineer to join their team in revolutionizing logistics through smarter solutions. This role offers the opportunity to develop and deploy impactful ML models, collaborate across teams, and engage with technology in the field. With a competitive salary and equity package, comprehensive health insurance, and a flexible hybrid working environment, this is an exciting chance to be part of a rapidly growing company that values learning and growth. Join a team that is reshaping how goods move in the modern world and make a difference in the community.

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 required.

Responsibilities

  • Develop and deploy ML models for logistics applications.
  • Collaborate with technology and operations teams.

Skills

Machine Learning
Python
TensorFlow
PyTorch
Cloud Platforms
Communication Skills
Collaboration Skills

Tools

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.
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