Python Job: Computer Vision Engineer

Computer Vision Engineer

Cambridge- UK / Gothenburg – Sweden

Competitive salary & benefits

Closing Date: Thursday 13th December

Would you like to apply your expertise to impact the EDAIS team in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!

About AstraZeneca

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development

Working in Technology here means you’ll be a self-starter who is comfortable stepping up and taking ownership, willing to constantly explore and challenge the status quo. You’ll be empowered to orchestrate new possibilities, solve challenges and continuously innovate. Here you’ll join hackathons, work with large data and challenge yourself to push new boundaries.

We impact patient lives. Empowering and enabling the business to run faster and better, we play a part in improving lives across the world!

What you’ll do

The ideal candidate will have industry experience developing and applying Machine Learning and computer vision solutions, e.g. developing data pre-processing pipelines, modelling, training state of the art deep neural networks (CNNs/RNNs/LSTMs/Transformers) as well as deploying inferencing pipelines to process data at scale.

Our team empowers scientists and data scientist all the way from early research to manufacturing to be successful with some of our hardest ML engineer challenges. You will act as a catalyst for the adoption of the latest advances in Artificial Intelligence and Data Science.

You will work closely with scientists & product teams and learn to deliver deep learning solutions at scale within the AstraZeneca tech stack, whilst encouraging best practices for deep learning across the company.

We are looking for deep learning engineers capable of building robust, accurate deep learning-based systems and scientifically rigorous solutions that will be used across scientific units in AstraZeneca. As a strong software leader and an expert in building complex systems, you will be responsible for inventing how we use technology, deep learning and data to enable the productivity of AstraZeneca.

You will help envision, build, deploy and develop our next generation of analytical engines at scale.

Key Accountabilities

• Investigate innovative machine learning, artificial intelligence, and statistical techniques for health data challenges
• Collaborate with scientists and other machine learning engineers and data scientists to translate medical problems into machine learning problems
• Design and implement machine learning pipelines
• Design, implement and evaluate machine learning models solve problems we face across business area from R&D to manufacturing
• Deploying machine learning solutions into production
• Optimizing solutions for performance and scalability
• Explain analyses and machine learning solutions to technical audiences

Essential for the role

• A PhD, in Computer Science, Mathematics, Data Science, Statistics or related subjects – or Masters in a relevant discipline and exceptional Machine Learning skills
• 1+ years of experience and demonstrable deep technical skills in one or more of the following areas: classical machine learning, recommendation systems, natural language processing or computer vision
• Proficient in python and experience with DL frameworks such as PyTorch.
• Software development skills including topics like CI/CD, testing, branching strategies
• Ability to explain and present analyses and machine learning concepts to a broad audience
• Ability to work with loosely defined objectives and turning these into requirements and business cases
• Creative, collaborative, & product focused

Desirable for the role

• Experience in delivering ML model in production
• Experience applying machine learning in a regulated domain

Why AstraZeneca?

At AstraZeneca we’re dedicated to being an outstanding Place to Work. Where you are empowered to push the boundaries of science and spark your high-reaching spirit. There’s no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and partnership, and always committed to lifelong learning, growth, and development. We’re on an exciting journey to pioneer the future of healthcare.

So, what’s next?

Are you ready to bring new insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it’s yours.

Where can I find out more?

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