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- Tasks: Develop and improve machine learning models for data extraction in logistics.
- Company: Join Wisetech's innovative Data Science team, focused on AI-driven solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth.
- Why this job: Work on cutting-edge technology and solve real-world problems in a friendly atmosphere.
- Qualifications: MSc in Computer Science or STEM, 6+ years experience, strong Python skills required.
- Other info: Experience with LLMs and cloud environments is a plus.
The predicted salary is between 43200 - 72000 £ per year.
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Senior Machine Learning Engineer, 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:
1c5f1918e356
Job Views:
3
Posted:
02.07.2025
Expiry Date:
16.08.2025
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Job Description:
Company Overview
Our Shipamax Data Science team seeks a highly skilled and motivated Senior Machine Learning Engineer with 6+ years\’ of experience. This team sits within Wisetech’s Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical logistics data that powers the seamless movement of goods worldwide. You would join a team of experienced data scientists and engineers passionate about solving complex real-world problems in a friendly and stimulating atmosphere.
Job Overview
As a Senior Machine Learning Engineer, you will bring research into practice, developing new and improving existing machine learning models, expanding our existing product offerings.
You will work closely with our R&D and Product teams to successfully integrate cutting-edge models into our commercial software, delivering exceptional data extraction capabilities to our valued customers.
This role would give you the opportunity to work with state-of-the-art machine learning models, such as LLMs, using real-world datasets and leveraging abundant real-world unstructured data. You will also be involved in exciting projects like developing data extraction for new logistic document types.
Responsibilities
Collaborate with R&D and Product to bridge the gap between research and practical implementation, pushing the boundaries of what is achievable in 1-4 month projects.
Develop new production-ready machine learning models and improve existing ones.
Deliver impressive data extraction software that meets and exceeds customer expectations.
Responsible for the quality and ongoing evaluation of our data sets on existing and new ML models in pre-launch and in production.
Responsible for complex projects and coaching/supporting more junior team members.
Requirements
MSc in Computer Science, other STEM subjects.
6+ years of working experience in data science in a commercial environment.
Strong programming skills in Python.
Experience with Computer Vision.
Experience in building and evaluating production-ready machine learning models.
Experience with Natural Language Processing (NLP) techniques.
Experience working with real-world datasets formed by unstructured data.
Solid understanding of fundamental concepts of data science.
Experience working with Numpy and PyTorch.
Experience working with cloud environments is not essential, but it would be beneficial.
Experience with Large Language Models is highly desirable.
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Senior Machine Learning Engineer employer: Wisetech Global
Contact Detail:
Wisetech Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network with professionals in the machine learning field, especially those who work in logistics or document processing. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects related to machine learning or data extraction. This not only enhances your skills but also demonstrates your commitment to the field and can catch the attention of hiring managers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and machine learning problems. Focus on Python, Numpy, and PyTorch, as these are crucial for the role. Familiarise yourself with common algorithms and their applications in real-world scenarios.
✨Tip Number 4
Stay updated on the latest advancements in large language models and natural language processing. Being knowledgeable about current research and applications will help you stand out during discussions with the interview panel.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, particularly your work with Python, NLP, and production-ready models. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the role. Mention your experience with AI-based software and how you can contribute to the team at Shipamax.
Showcase Relevant Projects: Include details of specific projects you've worked on that relate to the job description. Highlight your experience with complex datasets, machine learning models, and any collaborative efforts with R&D or product teams.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at Wisetech Global
✨Showcase Your Technical Skills
As a Senior Machine Learning Engineer, it's crucial to demonstrate your technical expertise. Be prepared to discuss your experience with Python, machine learning models, and any relevant projects you've worked on. Highlight specific examples where you've successfully implemented models or solved complex problems.
✨Understand the Company’s Products
Familiarise yourself with the company's AI-based software and how it extracts information from documents. Understanding their product offerings will allow you to tailor your responses and show how your skills can directly contribute to their goals.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling machine learning challenges, especially those related to data extraction and working with unstructured data.
✨Emphasise Collaboration and Mentorship
Since the role involves coaching junior team members, be ready to discuss your experience in mentoring others. Share examples of how you've collaborated with R&D and Product teams to bridge research and practical implementation, showcasing your teamwork skills.
