£50000 - £60000 per annum + equity and bens
4 months ago
Machine Learning Engineer /Scientist (NLP, Automation)
We are currently looking for a Machine Learning Engineer /Scientist (NLP, Automation) to join a technology unicorn based in central London who are scaling up due to increased customer demand. This start-up organisation have not only secured another round of funding, but also are innovating the logistics industry through Machine Learning technology.
This Machine Learning Engineer / Scientist will become part of a versatile team, who collaborates with the Computer Vision and the surrounding NLP Researchers, the Software Engineering team and other key members of the technology staff. Therefore, as a Machine Learning Researcher / Scientist, you will be part of a very dynamic and collaborative team. You will also be able to further develop your skills within the AI industry and get your "hands dirty" directly working on the data.
As a Machine Learning Engineer / Scientist, you can expect to be working and deploying Machine Learning models and helping to deliver on Machine Learning algorithms with your surrounding team mates. Your previous experience will be developed as you work to find solutions in transportation using namely, Natural Language Processing and Deep Learning.
(No visa sponsorship available for this position)
What we can offer a Machine Learning Engineer /Scientist (NLP, Automation):
- Be part of the AI evolution for transporation
- To work in an aspirational company, with leading Researchers and Engineers onsite
- Strong package offered plus working benefits
- Flexible working environment and hours, start-up culture and feel
Machine Learning Engineer /Scientist (NLP, Automation); Research, Researcher, Engineer, Developer, Engineering, Developing, C++, Python, C#, Java, Programmer, Programming, Development, PhD, Publications, Natural Language Processing, NLP, Deep Learning, Machine Learning, AI, Artificial Intelligence, Computer Vision, Reinforcement Learning, Neural Networks, Algorithm, Algorithms, Deep Neural Networks, CNNs, Gaussian Processes