The Company
Semantic Evolution is a fast-growing technology firm with offices in London and Manhattan, dealing with great clients worldwide. Our product uses artificial intelligence techniques to capture data from unstructured documents such as PDFs, spreadsheets, and emails. Our parsing technology provides efficiencies to repetitive tasks, normally requiring the time-consuming manual extraction of data.
Who you are
As a machine-learning engineer, you will have solid experience in building machine learning models. You will need to have the ability to design and deliver solutions to unique problems and be ready to keep up to date in the dynamic domain. The role is fully remote with the opportunity to work on-site in the London office.
You will need to be able to efficiently prioritize tasks and manage your time. Good mathematical skills with problem-solving and logical thinking are required for this position. Quick learning, enthusiasm for technology, and a proven track record in delivering solutions are also desired. You will need to own the performance and stability of your code.
What you’ll do
You will be able to work well in a Research And Development team, on top of working efficiently on your own. We are developing state-of-the-art models in computer vision, NLP, and other domains, as well as integrating with new innovative frameworks as needed. Researching and picking up new technologies quickly is a must.
Essential Skills:
- Python
- Neural Nets
- TensorFlow, PyTorch or similar platforms
- NumPy and Pandas
- Basic Statistics
Desirable Skills:
- Amazon Web Services (AWS)
- NLP
- Knowledge of .NET development using C#
- SQL
As a key member of a start-up with a small and growing quality team, the role will be broad with lots of opportunities to develop new skill sets.
To Apply:
Candidates should be able to start within four weeks and be eligible to work in the UK without visa sponsorship. A valid passport is required as the role may require overseas travel.
This is a fantastic opportunity for someone looking to join a successful and supportive company that is committed to the training and development of its employees.