NLP (Natural Language Processing) Apps Developer Inside IR35

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My client is looking for a NLP (Text Analyst) to create a graph database of a text network, to work on an initial 6 month contract fully remote from home.

Overall Purpose:

To develop and embed NLP applications in the domain of Health and Safety. This role will support the ongoing development of a team and applications to analyse text data associated with health and safety incidents and investigations.

The client is looking to create a graph database of a text network. They will start with SQL and ingest the data into a no-sql graph database.

Key language is Python.

Ontology experience is a nice to have.

Text mining field, will need to have some experience and be a competent coder in Python to create models, do cluster analysis. They will be text mining alongside a graph[h network.

Focus is NLP, Text analysis and Python.

Key Responsibilities:

* Designing and developing and refining existing NLP applications

* Using effective text representation techniques and classification algorithms

* Training and evaluating models

* Supporting an overall strategy to converge on text mining tools and approaches within my client.

Essential Skills and Experience:

Python:

* use of the following text analysis libraries: spaCy, nltk, transformers, AllenNLP

* use of the machine learning library Scikit-Learn library and deep-learning libraries such as pytorch, and tensorflow/keras

* interfacing with SQL databases

Other essential coding skills:

* Use of version control systems

* Writing unit tests

* Code documentation

Other desirable coding skills:

* Text extraction from a range of document formats

* Experience with non-relational databases

* API development & documentation

* Web-development using e.g. node.js or flask

* Web scraping using e.g. Beautiful Soup and Scrapy

NLP/TM experience:

* Using and fine tuning/training transformer models such as BERT for a variety of NLP tasks, including entity classification, document classification, document summarization, question answering

* Developing systems for information retrieval, using methods for relevance ranking

* Generating and using annotated data for training NLP models

* Application of a variety of machine learning algorithms for tasks such as document clustering

* Using OpenIE libraries for entity and relation extraction (e.g. for use in a knowledge graph)

* Normalisation of entities and coreference resolution

* Using appropriate NLP performance metrics to assess and improve algorithm performance

Daily rate £500pd Inside IR35

REMOTE FROM HOME