- Proficiency in Natural Language Processing techniques
- Experience with developing, training, and optimising deep learning models
- Deployment of machine learning models at scale
- Familiarity with various machine learning frameworks
- Keeping abreast of the latest advancements in deep learning and large language modelling
- Develop frameworks for evaluating models based on specific task requirements
- Create and implement pipelines for model training and inference
- Integrate models seamlessly into the production system
- Conduct thorough research and document findings and design approaches
- Drive innovation by incorporating cutting-edge techniques into the system
NLP Engineer - London, United Kingdom - Open Source
Description
Job DescriptionThis is a remote position.
Full Time / Remote
About Our Client: Our client is on a transformative mission to revolutionise how knowledge is represented and accessed. Founded by industry veterans, they are building a system that not only accurately captures knowledge but also transparently addresses the challenges of information uncertainty. Their approach combines innovative technologies with groundbreaking methods, such as Bayesian Statistics, Deep Learning, and Cognitive Science. They envision their system acting as analysts, research assistants, or data scientists across various domains.
They are developing an AI system that can accurately represent knowledge and handle uncertainty, enabling the discovery of insights and problem-solving based on explainable reasoning. Their applications aim to automate analysis and accelerate research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
Role Overview: Our client is seeking experienced software engineers with expertise in transformer models to contribute to the development of their inference pipeline. Tasks will primarily involve the integration of pre-trained transformer models for language and structured data.
Required Experience:
Responsibilities:
Please apply and your CV will be reviewed