- Design ways to enhance and expand the capabilities of “Fathom”, the brain behind our software.
- Drive Natural Language Processing and Machine Learning projects from concept to fruition, taking into account any competing forces and necessary trade-offs.
- Devise and apply novel approaches to interpret legal documents.
- Recommend relevant research, best practices, and their application to the product and legal domain.
- Recommend annotation, modelling, and evaluation approaches for a wide range of supervised and unsupervised problems.
- Work closely with Legal Experts and Product Owners to identify complex areas to interpret and methodologies to tackle them.
- Drive to extract maximum value from our large corpus of legal data.
What You'll Need To Succeed
- You will have a strong background in this field (Ideally 5+ years work experience), with proven commercial experience working in a related field.
- Interest in the application and domain - solving a challenge to generate real value.
- A pragmatic mind with strong problem-solving skills.
- Utilisation of the latest techniques available and relish collaboration with specialists; we partner with in both academia and AI-focussed businesses
- Natural Language Processing
- Machine learning
- Unsupervised learning
- Graph technologies (networkx etc.)
- Experience with defining and working with ontologies
- Relation extraction
- Language modelling
- Test-driven development
Why You'll Love It Here
- Company pension scheme
- 25 days annual leave
- A collaborative, supportive, and dynamic work culture; you’ll work with people who demand the best
- In-depth training and one-to-one support as you build your career at ThoughtRiver and map out your professional goals
- A regular programme of fantastic team-building and social activities to foster a collaborative spirit
- Environmentally conscious and serious about climate change; we're committed to completely removing our impact on the environment by October 2021
We're currently supporting all our employees through Covid-19 and encouraging remote working; this role will be based remotely until we're advised it's safe to return to the Cambridge office and at that point we will require this person to travel to the office for collaboration.