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Join our team

NLP Engineer

We're looking for an NLP engineer to help build our natural language processing, understanding and generative capabilities.

About Definely

Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely is a fast-growing, venture-backed company transforming the $900bn global legal services market.

We are backed by prominent investors and VCs, including Octopus Ventures, The Raine Group, Microsoft, Google for Startups and Nick Jenkins (founder of Moonpig and former Dragon).

Joining Definely is an opportunity to be part of a truly meritocratic, diverse organisation and a chance to work alongside intelligent, highly motivated individuals working together on the same mission!

Working with us

Given that we spend a good portion of our time at our place of work, we are firm believers that everyone should enjoy what they’re doing and who they work with. We operate a transparent workplace culture, where every person has input at every stage and level of strategic decision-making and is a valued member of the team (we promise we are not just saying that)!

We look for natural self-starters who are curious, adaptive, resilient, apply deep logic to their thinking and, most importantly, learn from every mistake!

The role

As an NLP engineer at Definely, you will play a pivotal role in building our natural language processing, understanding and generative capabilities for the legal industry by creating groundbreaking products designed for every phase of the contract document lifecycle, with a mission to enhance accessibility and efficiency in legal documents.

Your roles and responsibilities include the following:

  • Develop and implement Natural Language Processing (NLP) algorithms and models using Python.
  • Utilize and enhance Language Model (LLM) techniques to optimize document analysis and comprehension.
  • Implement Retrieval Augmented Generation (RAG) methods for enhanced search and summarization of legal documents.
  • Manage and work with vector databases for efficient storage and retrieval of document representations.
  • Collaborate with cross-functional teams of engineers, lawyers, and product managers to design and deliver robust, scalable NLP solutions.
  • Enhance existing NLP pipelines, algorithms, and systems for improved performance and accuracy.
  • Research, evaluate, and implement state-of-the-art NLP methodologies to drive innovation in our products.
  • Leverage API experience to develop and maintain interfaces for seamless integration of NLP functionalities.
  • Explore, document, analyse, aggregate, label, clean, transform and manipulate datasets
  • Improve our existing language-related models recall, precisions and other related-KPIs
  • Create new language models for existing products and use cases as well as new ones
  • Augment our data to train models to handle even more cases
  • Help us develop and execute our innovation strategy

About you

  • Experience in NLP development and implementation, with a focus on Python.
  • Experience in utilizing Language Model (LLM) and Retrieval Augmented Generation (RAG) techniques.
  • Hands-on experience working with vector databases for efficient data storage and retrieval.
  • Strong understanding of API development and integration within NLP systems (preferred).
  • Experience in designing and implementing NLP algorithms and models in real-world applications.
  • Excellent problem-solving skills and the ability to work independently and in a collaborative team environment.
  • Strong communication skills to articulate complex technical concepts to non-technical stakeholders.
  • Linguistics and/or Text Mining Degree.
  • Strong Quantitative background is a plus.
  • Experience with PyTorch/Tensorflow.
  • Experience with spaCy and/or other NLP tools such as Gensim/NLTK is a must.
  • Experience with either AWS/Azure/GCP or More than one is a plus.
  • The ability to read and perform reproducible research is a plus.

Most importantly, if you’re someone with a can-do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then please do not hesitate to apply.

If you’re interested in applying, please send your CV to as well as any additional information about yourself you want to add!