Lead Machine Learning Engineer – London, UK

WiseTech Global; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A leading logistics technology company is seeking a Lead Machine Learning Engineer in London. This role focuses on designing and deploying models to process complex documents, while leading a team in a global ML & AI context. The ideal candidate will have over 10 years of experience in data science and expertise in NLP and Computer Vision. Join us to make a real impact on global logistics!

Benefits

Room to grow

Learning environment

Culture of autonomy

Qualifications

• At least 10 years' experience in data science, machine learning, or applied AI.
• A track record of senior contributions within a data science team.
• Experience working with LLMs at a complex level, including fine-tuning.

Responsibilities

• Leading the design, training, and deployment of ML models for document ingestion.
• Working with large-scale, unstructured logistics data.
• Ensuring that models are robust, scalable, and production-ready.
• Contributing to architecture and tooling decisions across ML platforms.
• Collaborating with peers across the global ML & AI group.

Skills

Experience in data science

Machine learning expertise

NLP and Computer Vision

Excellent Python skills

Familiarity with modern ML libraries

Tools

PyTorch

TensorFlow

Job description

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Lead Machine Learning Engineer – London, UK, London

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

1488059e6825

Job Views:

8

Posted:

01.08.2025

Expiry Date:

15.09.2025

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Job Description:

Use your machine learning expertise to solve real-world problems at global scale.

At WiseTech Global, we build the technology that powers supply chains around the world. Our software is used by over 18, logistics companies across more than countries, handling the movement of goods across borders, oceans, and cities. Now, as we scale our machine learning capabilities globally, we're looking for a Lead Machine Learning Engineer to join our growing team in the UK.

This role sits within our document ingestion team, part of our global ML & AI group. It’s an exciting opportunity to lead technically challenging work with real-world impact - all while collaborating with other teams across the business.

Millions of documents are processed monthly in CargoWise. Our document ingestion team researches and brings to production state-of-the-art machine learning models and Agentic AI generating data critical to keep shipping of goods worldwide. Our products have real world impact, unlocking efficiencies in the global supply chain in a way no one else can.

The Opportunity

As a Lead ML Engineer, you’ll be a crucial thought leader in the team, taking ownership of developing intelligent systems that extract, understand, and structure complex logistics documents at scale. You’ll play a hands-on role in designing and deploying models, while also helping to mentor others and shape best practices across the team.

Although the immediate focus is on document ingestion, you’ll be part of a wider ML & AI team that’s tackling a broad set of problems across WiseTech - from automation and optimisation to language processing and generative AI.

This is a great fit if you're passionate about production-grade Machine Learning, keen to collaborate across teams, and ready to take on a role in a growing, high-impact function.

What You'll Be Doing

• Leading the design, training, and deployment of ML models for document ingestion.
• Working with large-scale, unstructured logistics data.
• Ensuring that models are robust, scalable, and production-ready.
• Contributing to architecture and tooling decisions across our ML platforms.
• Collaborating with peers across the global ML & AI group.

About You

We're looking for someone with strong technical depth, a collaborative mindset, and the confidence to lead complex projects.

You’ll likely have:

• At least 10 years' experience in data science, machine learning, or applied AI.
• A track record of senior contributions within a data science team.
• Expertise in NLP and Computer Vision.
• Excellent Python skills and familiarity with modern ML libraries (e.g. PyTorch, TensorFlow).
• Experience working with LLM’s at a complex level, including finetuning.

Why Join WiseTech?

• Real impact - Your work will directly improve how goods move around the world.
• Global ML & AI team - You’ll be part of a newly unified group leading machine learning across WiseTech.
• Room to grow - With an expanding AI focus, there are opportunities to shape products, build capability, and move into broader leadership.
• Learning environment - Collaborate with experts, explore new approaches, and work on a range of ML challenges.
• Culture of autonomy - We value deep thinking, technical ownership, and long-term outcomes.