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NLP Engineer - Legal Industry - Kent
Salary: £50,000 - £60,000 Depending on experience
Fully Remote or Hybrid Working
We are currently recruiting for a NLP Engineer to join an innovative team in the Legal industry. This role will be based in Kent and requires a candidate with a strong technical background in Natural Language Processing (NLP).
As an NPL Engineer you will play a key role in building and enhancing language models that power the automated legal document review and analysis process.
Develop NLP applications and models to solve complex problems
Design and implement algorithms to efficiently process large datasets
Analyse and interpret customer data to identify trends and patterns
Develop and improve existing applications and services
Collaborate with team members to ensure successful delivery of projects
Create documentation and tutorials to explain technical concepts to a non-technical audienceTechnical Skills Required:
Expertise in natural language processing algorithms (e.g. text classification, part-of-speech tagging, named entity recognition, sentiment analysis, etc.)
Experience with deep learning frameworks such as TensorFlow, PyTorch, and/or Keras
Strong knowledge of Python programming language and related libraries (e.g. NumPy, SciPy, scikit-learn, NLTK, etc.)
Familiarity with natural language processing libraries such as spaCy and NLTK
Experience with cloud computing platforms such as AWS, Google Cloud Platform, and/or Microsoft Azure
Excellent problem-solving and communication skills
2+ years' experience in NLP Model Building
Familiarity with the automation of data preparationIf you meet the above criteria and are interested in this role, please apply for immediate consideration and interview. You will receive further details about the role upon application.
Keywords: NLP Engineer, Natural Language Processing Engineer, Machine Learning Engineer, Data Scientist, AI Engineer, Azure, Notebooks, Code-based, scripts, SaaS, Language studio
In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy