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Machine learning to battle misinformation/disinformation

NLP Engineer/Data Scientist

£50k – £70k • 0.2% – 0.5%
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Description of the role

We are looking for a machine learning engineer to join the team and build algorithms for quality scoring and text classification. This role is a practical machine learning role with a component of research, but focused on building data products for our clients, for example brands, PR agencies, platforms and advertising partners.

What you'll be doing

- Driving small iterative experiments around new ideas, datasets and partner integrations
- Measuring and improving the quality of the algorithms
- Working closely with client requirements to make sure we deliver a high-quality solution
- Building NLP pipelines and models, which range from linear models to state-of-the-art neural networks
- Work with the platform team to integrate the models in production
- Keeping up-to-date with research in the areas of misinformation NLP processing and always being on the look-out for new datasets

Who we're looking for

- You feel strongly about the problem of misinformation and want to help us fight it
- BSc or higher in computer science, related STEM or quantitative field
- At least 2 year experience with applied machine learning & statistical natural language processing
- Strong proficiency in Python and the python data ecosystem including Numpy, Pandas, Scikit-learn.
- Proficiency in SQL
- Curiosity about new developments in AI and machine learning
- Excellent problem solving, critical thinking, creativity, organizational, design, and communication skills; ability to interact with all levels of engineers
- Excellent knowledge of numerical optimisation techniques, statistics, ML algorithms and neural network architectures (CNNs, LSTMs, GANs).
- Strong background in Linear Algebra, Statistics and Numerical Mathematics
- You have a product-oriented mindset and like to work in an agile framework designing, conduction, analysing and interpreting experiments and investigations

Bonus points
- You have industry experience in building machine learning into production systems
- You have web mining and information retrieval experience
- You have worked in content scoring, media scoring, sentiment analysis, and in more complex tasks related to information retrieval from news and knowledge bases
- Familiarity exposing ML components through web services or wrappers (e.g. Flask)
- Experience handling large datasets (>billions of rows)
- Knowledge on scaling up computations (Spark, GPUs, MPI)
- Familiarity with cloud environments (AWS, GCP, Azure)
- Experience with Tensorflow and Keras

Meet your team

People you would work with in this role

Marc von Wyl

Avatar for Marc von Wyl
Computer Scientist and Machine Learning Engineer with experience in academia and industry, and a strong interest in Natural Language Processing.

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