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- Tasks: Develop and improve machine learning models for data extraction in logistics.
- Company: Join WiseTech Global, a leading innovator in supply chain technology.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and innovation.
- Why this job: Work on cutting-edge AI projects that make a real-world impact in logistics.
- Qualifications: MSc in Computer Science or related field, plus 2+ years of relevant experience.
- Other info: Be part of a passionate global team dedicated to transforming supply chains.
The predicted salary is between 28800 - 42000 £ per year.
Our Shipamax Data Science team seeks a highly skilled and motivated Machine Learning Engineer with 2+ 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.
As a 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.
- 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.
Requirements
- MSc in Computer Science, other STEM subjects, or comparable work experience.
- 2+ years of working experience in data science in a commercial environment.
- Good programming skills in Python.
- Experience in building and evaluating machine learning models.
- Experience with Natural Language Processing (NLP) techniques.
- Experience working with real-world datasets.
- 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.
Ideal Characteristics
- Excellent analytical skills and attention to detail.
- Hard-working, responsible.
- Loves learning and gets things done.
- Good communication skills working within a team.
Our innovations and global technology enables, improves and empowers the world’s supply chains. Having listed on the ASX in 2016, WiseTech Global is now an ASX 50, AU$10 billion+ company that is serious about expansion and technical innovation. Our mission is to change the world by creating breakthrough products that empower those that own, enable and operate the supply chains of the world.
Machine Learning Engineer employer: Wisetech Global Limited
Contact Detail:
Wisetech Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, especially in Natural Language Processing (NLP). Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your experience with real-world datasets. Think of specific projects where you developed or improved machine learning models, and be ready to explain your approach and the impact it had on the project.
✨Tip Number 3
Network with current employees or professionals in the field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Brush up on your Python programming skills, particularly in libraries like Numpy and PyTorch. Be prepared to discuss your coding experience and possibly solve a coding challenge during the interview process.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and data science. Focus on your programming skills in Python, your work with NLP techniques, and any projects involving real-world datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your ability to bridge the gap between research and practical implementation. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Your Skills: In your application, emphasise your analytical skills and attention to detail. Provide examples of how you've successfully developed or improved machine learning models in previous roles, particularly in a commercial environment.
Highlight Team Collaboration: Since the role involves working closely with R&D and Product teams, include examples of your teamwork and communication skills. Describe situations where you collaborated effectively to achieve project goals.
How to prepare for a job interview at Wisetech Global Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning models, and NLP techniques. Bring examples of projects you've worked on that demonstrate your ability to build and evaluate models, especially using tools like Numpy and PyTorch.
✨Understand the Company’s Mission
Familiarise yourself with WiseTech Global's mission and how their innovations impact supply chains. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical skills and problem-solving abilities. Think of real-world scenarios where you've successfully tackled complex issues, particularly in data science or machine learning contexts.
✨Demonstrate Team Collaboration
Since the role involves working closely with R&D and Product teams, be ready to discuss your experiences collaborating with others. Highlight instances where your communication skills helped bridge gaps between technical and non-technical team members.
