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- Tasks: Lead the design and deployment of machine learning models for document ingestion.
- Company: WiseTech Global powers supply chains worldwide with innovative technology.
- Benefits: Enjoy a culture of autonomy, opportunities for growth, and collaboration with experts.
- Why this job: Make a real-world impact on global logistics while tackling exciting ML challenges.
- Qualifications: 10+ years in data science, expertise in NLP, Computer Vision, and strong Python skills required.
- Other info: Join a newly unified global ML & AI team focused on innovation.
The predicted salary is between 54000 - 84000 £ per year.
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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.
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Lead Machine Learning Engineer – London, UK employer: Wisetech Global
Contact Detail:
Wisetech Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer – London, UK
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in NLP and Computer Vision. This will not only enhance your technical knowledge but also demonstrate your commitment to staying at the forefront of the field during interviews.
✨Tip Number 2
Engage with the WiseTech Global community on platforms like LinkedIn or relevant forums. Networking with current employees can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving large-scale data and production-grade ML models. Be ready to explain your decision-making process and how you overcame challenges, as this will showcase your leadership capabilities.
✨Tip Number 4
Stay updated on the logistics industry and its challenges. Understanding the real-world impact of your work in document ingestion will help you articulate how your skills can contribute to WiseTech's mission during discussions.
We think you need these skills to ace Lead Machine Learning Engineer – London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, particularly in document ingestion and NLP. Use specific examples of projects you've led or contributed to that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your understanding of its impact on global supply chains. Mention your leadership experience and how you can contribute to WiseTech's goals.
Showcase Relevant Skills: In your application, emphasise your expertise in Python, modern ML libraries, and your experience with LLMs. Be specific about your technical skills and how they relate to the role.
Highlight Collaborative Experience: Since the role involves collaboration across teams, include examples of how you've successfully worked with others in previous roles. This could be through mentoring, leading projects, or cross-functional teamwork.
How to prepare for a job interview at Wisetech Global
✨Showcase Your Technical Expertise
Be prepared to discuss your experience in machine learning, particularly in NLP and Computer Vision. Highlight specific projects where you've designed, trained, and deployed models, especially those that had a real-world impact.
✨Demonstrate Leadership Skills
As a Lead Machine Learning Engineer, you'll need to show that you can lead complex projects. Share examples of how you've mentored team members or contributed to best practices in previous roles.
✨Familiarise Yourself with Their Products
Research WiseTech Global and their document ingestion team. Understanding their software and the challenges they face will help you tailor your responses and demonstrate your genuine interest in the role.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've successfully worked with cross-functional teams. Be ready to discuss how you approach teamwork and problem-solving in a collaborative environment.
