£100000 - £120000 per annum + company benefits
about 2 months ago
Machine Learning Manager (Deep Learning, PyTorch)
We are currently looking for a Machine Learning Manager (Deep Learning, PyTorch) to join an automation powerhouse based across the UK, who are scaling up their Machine Learning Research / Engineering team. This leading-edge organisation are developing innovative solutions that will help improve how data is used across the technology industry. This is a great step into leadership for a candidate looking to progress to a leadership position.
This Machine Learning Manager / Lead will become part of a versatile team, working on various projects in Machine Learning, Deep Learning, NLP etc. As a Machine Learning Manager / Lead, you will be driving their AI innovation, paving the way for future methods in the business and providing hands-on leadership. You will also be able to further develop your skills, get your "hands dirty" with the real-time data and work with top researchers and engineers in the country.
As a Machine Learning Manager / Lead, you will need to have experience working with complex Machine Learning algorithms and bringing products to commerce. You will need to be willing to learn and also be a versatile team player. You will contribute to ongoing projects and use your prior experience with Machine Learning and AI to pave the way for the rest of the team.
What we can offer a Machine Learning Manager (Deep Learning, PyTorch):
- You will be entitled to a competitive salary
- You will have the freedom and expectation to explore tech problems and create unique solutions
- You will work amongst industry leaders and drive and deploy products
- You will be able to work in a flexible, start-up like environment
Machine Learning Manager (Deep Learning, PyTorch); Research, Researcher, Engineer, Developer, Engineering, Developing, C++, Python, C#, Java, Programmer, Programming, Development, PhD, Deep Learning, Algorithmic, Algorithms, Machine Learning, Artificial Intelligence, AI, Deep Neural Networks, DNNs, Regenerative Models, Regression, Unsupervised Learning, Supervised Learning, Chief Data Officer, Lead Machine Learning, Management, NLP, Natural Language Processing