Machine Learning Engineer

Envase Technologies; London; On-site; GBP 40,000 - 80,000

Job description

Company Overview

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.

Job Overview

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.

About WiseTech Global

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.

Before you apply

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.