NLP Engineer

Recognised as one of the fastest growing startups in the UK by TechNation, one of the eleven UK startups to watch in Sifted and listed as a Deloitte UK Technology Fast 50 winner, Definely is a company that is transforming the $600bn global legal services market.

Our customers include some of the world’s top law firms, financial institutions and multinational corporations such as Allen & Overy, Dentons and Deloitte. We are also backed by a number of prominent investors and VCs, including Microsoft, Google for Startups, CRE VC and former dragon, Nick Jenkins.

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!

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.

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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

• 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.

• An opportunity to be an integral part of a fast-growing startup as we move to scale-up
• Work in a truly meritocratic organisation, alongside highly motivated individuals
• A chance to work with some of the world’s leading law firms, financial institutions and multinational corporations
• Office in the heart of London’s bustling Aldgate with the option to do hybrid working
• Training and support
• Competitive compensation package
• 25 days holiday per year excluding UK bank holidays
• Pension
• Flexible Working
• Equipment

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.