Research Engineer

London, United Kingdom

Full-time


TensorFlow Keras C Java R Python AWS

No further applications

We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant.

To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available.

At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us.

We serve millions, but we choose our people one at a time…

Purpose of Role
The focus of this role is on the improvement of inference algorithms used in graphical models, which form the basis of many of our AI systems
 
Key Responsibilities:
Development of code to answer deep problems in statistical modelling and machine intelligence across our product line, where we are building complex systems to meet our core goal of making health care easier for everyone to access.
 
Key Skills required:
Will have knowledge and experience of implementing statistical and machine learning models at scale as well as a familiarity with relevant inference methods.
Demonstrated statistical and machine learning experience, academic or commercial, and knowledge of major data science tools and frameworks.
Commercial-grade coding skills in at least one major language. Python is preferred, and knowledge of other languages is optional but valuable (e.g. C++/Java/Julia/R).

Person Specification

    • A software engineer, scientific programmer or applied scientific researcher with experience delivering statistical and machine learning models specific to AI.
    • Knowledgeable in general Bayesian approaches to statistical modeling, including demonstrated experience with Bayesian methods: inference, modeling, etc. Experience of Bayesian networks / Probabilistic Graphical Models specifically will be given very strong preference.
    • Solid programming skills in Python, and experience with at least one deep learning toolkit such as TensorFlow, Theano, Torch or Keras, as well as numpy and Sci-kit learn.
    • Experience programming on GPU's is strongly preferred.
    • Organized and pro-active, with strong attention to detail.
    • A natural team player, who enjoys working collaboratively with colleagues.
    • Flexible and adaptable, with a “can do” approach and solid problem-solving skills.
    • Focused on delivery, with a passion for quality and innovation.
    • Someone who thrives in a dynamic environment and will contribute to ongoing organisational improvements.

What matters most?

    • MSc/PhD in a quantitative discipline (mathematics, computational statistics, physics, life sciences, etc.); exceptional BSc candidates with relevant commercial experience will also be considered.
    • Demonstrated statistical and machine learning experience, academic or commercial, and knowledge of major data science tools and frameworks.
    • Commercial-grade coding skills in at least one major language. Python is preferred, and knowledge of other languages is optional but valuable (e.g. C++/Java/Julia/R).
    • Experience with cloud computing environments, such as AWS.
    • Comfortable working in a collaborative and commercial scientific environment that operates using agile methodologies.
    • A proven track record of delivering high profile, user-oriented solutions in a fast-paced environment.
    • Strong communication skills, including the ability to communicate deeply technical concepts to non-technical audiences, at all levels and in all mediums from email to written and oral presentations.
    • Great organizational skills with the ability to thrive in a demanding environment whilst juggling multiple priorities.
    • A highly motivated self-starter with a can-do attitude, even in the face of demanding deadlines.

What’s nice to have?

    • Research papers in machine learning at venues such as NIPS, ICML, AISTATS etc.
    • Experience presenting technical concepts to a general audience.
    • Healthcare domain experience.
Competitive salary package
Share scheme
Free babylon for you and your family
One of the nicest offices you’ll ever see, located in the heart of Chelsea
Free healthy breakfast, and snacks
On site table tennis and video games competitions
Regular social gatherings and an intimate, collaborative environment
A real entrepreneurial spirit and drive to make a tangible difference in the world
Free weekly yoga and football sessions
Pension scheme
Childcare vouchers
BUPA health
Life Insurance

Babylon believes it is possible to put an accessible and affordable health service in the hands of every person on earth. How? By combining the ever-growing computing power of machines with the best medical expertise of humans to create a comprehensive, immediate and personalised health service and making it universally available.