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- Tasks: Develop and improve machine learning models for data extraction in logistics.
- Company: Join WiseTech Global, a leading tech company revolutionising supply chains worldwide.
- 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 technical innovation.
The predicted salary is between 43200 - 72000 £ 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.
- 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.
- 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.
From time to time, WiseTech Global may use external service providers to assist us with assessing applications, including background checks, on our behalf. Accordingly, by applying for this role and providing your personal information to WiseTech Global, you consent to WiseTech Global providing this information to our external service providers who are required to treat such information with strict confidentiality in line with privacy and data protection laws and regulations.
We are a global team of passionate people enabling and empowering the supply chains of the world.
Contact Detail:
Wisetech Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Greater London)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly 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
Engage with the data science community by attending meetups or webinars focused on machine learning. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to showcase your practical experience with Python and machine learning frameworks like PyTorch. Consider working on a personal project that highlights your skills in building and evaluating models, as this can serve as a great talking point in interviews.
✨Tip Number 4
Research WiseTech Global and their products thoroughly. Understanding their mission and how your role as a Machine Learning Engineer fits into their goals will help you articulate why you're a great fit for the team during your discussions.
We think you need these skills to ace Machine Learning Engineer (Greater London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data science. Emphasise your programming skills in Python, as well as any experience with NLP techniques and 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 of the role.
Showcase Your Skills: In your application, provide examples of machine learning models you have developed or improved. Discuss your experience with tools like Numpy and PyTorch, and any exposure to cloud environments, even if it's not essential.
Highlight Team Collaboration: Since the role involves working closely with R&D and Product teams, emphasise your teamwork and communication skills. Share instances where you successfully collaborated on projects to deliver results.
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 develop and evaluate models, as this will show your practical knowledge.
✨Understand the Company’s Mission
Familiarise yourself with WiseTech Global's mission and how their technology impacts supply chains. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨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 successfully implemented machine learning solutions and be ready to explain your thought process.
✨Emphasise Team Collaboration
Since the role involves working closely with R&D and Product teams, highlight your teamwork experiences. Share examples of how you’ve collaborated with others to bridge the gap between research and practical implementation.
