National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Machine Learning Engineer – London, UK

WiseTech Global
London
3 days ago
Create job alert

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 aLead Machine Learning Engineerto 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.

Related Jobs

View all jobs

Lead Machine Learning Engineer, Associate Director, London

Lead Machine Learning Engineer, Associate Director, London

Lead Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Engineer III

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.