Job description
About the role of Data Scientist, NLP (Machine Learning Engineer)
You will be involved in everything NLP, splitting your time between research and delivering production models. You will work closely with the data engineers and software developers to breathe life and skills into our state-of-the-art conversational interface, Adam.
This is a role for an experienced Data Scientist, NLP (Machine Learning Engineer) who works hands-on with the data and product every day, has experience bringing new models into production and is on top of all new NLP news and trends as they happen.
About Travtus, and ADAM
Travtus is an AI R&D Company based in London, developing AI solutions for global industries. Adam is the leading digital employee for rental communities, delivering automation and front-line intelligence through natural conversation. Through Adam, we are changing the way that businesses operate, bringing automation, world-class customer service and new data-intensive solutions.
Tasks
- Designing, implementing and maintaining Machine Learning Model Pipelines to solve business needs
- Experimenting with different models and measuring performance and selecting solutions
- Researching and sharing the latest developments in Natural Language Understanding, Natural Language Generation, and Graph Neural Networks
- Working with software at all stages of the development lifecycle
- Defining infrastructure requirements and architecture for Model Training and Inference
- Reviewing the performance of production models, performing evaluation and tuning
- Owning the data pipeline required for building reliable data sources for model development
Requirements
- PhD-level academic background
- Passionate and knowledgeable about NLP Technology and enjoy monitoring the latest developments and papers
- Experience developing machine learning models and taking them into production
- Have an engineering mindset and expertise to solve real problems
- Python development experience working with software at all stages of the development lifecycle
- Have deep expertise using AI platforms including Pytorch, Tensor flow & AWS Sagemaker
- Have practical knowledge of the latest transformer language models such as Bert, Roberta, GPT2, etc, and NLP Open Source Libraries e.g. Hugging Face, AI2, OpenAI, Spacy, etc
About the Team
Our team is a multi-disciplinary team of experts with everyone contributing their own area of specialism; from infrastructure to knowledge graphs, Real Estate Operations to dialogue design.
Working in a truly collaborative style, where everyone is heard and brings something valuable to the conversation allows us to push the boundaries in this new technology area. We are fundamentally challenging the way one of the largest industries in the world operates, and our commercial success pays testament to the skill, commitment and passion our team displays every day.
Job Types: Full-time, Permanent
Salary: £45,000.00-£70,000.00 per year
Benefits:
- Discounted or free food
- Private medical insurance
- Unlimited paid holidays
Schedule:
- Monday to Friday
Application question(s):
- How many Machine Learning Models have you personally taken into production and are live and being used currently?
Education:
- PhD (required)
Experience:
- Python: 2 years (required)
Work Location: Hybrid remote in London, EC2M 7PD