At Bitfount our goal is to make the world's intractable data interactable.
The limitations of current data infrastructure have created painful, slow, expensive and often ineffective workarounds for what should be seamless collaborations between trusted partners. So we're building a missing piece of global infrastructure: a secure network to enable organisations to send algorithms to data. This means they can share the benefits of their data with each other, without having to go through the painful and risky process of moving it around, without compromising its privacy, and without even needing to expose any raw data.
Right now, we're heads-down on applying our platform to the problem of clinical trial recruitment in the Healthcare space. We're enabling privacy-preserving collaboration between healthcare providers and pharmaceutical companies, which will remove a major friction point in the process, and help ensure critical medicines make it through trials and into the hands of those who need them much sooner.
Learn more about how we work at bitfount.com/company/careers More about you You are an experienced engineer, with a track record of successfully leveraging the foundations of modern software engineering practices, with a passion for performance and reliability. You take ownership of your work and see things through. You emphasise code quality and testing and are comfortable with high quality software practices (including code reviews, testing practices, and software design).
You are excited by the opportunity to improve our Python-based ML framework's reliability and performance across various hardware and OS configurations. You like to work in a diverse team, relish participating in team-led discussions, and are an effective team player. You continually strive to improve engineering standards and shape best practices within the teams you work.
You are energised by our mission to safely unlock the value of data for the benefit of humankind - as we expect you to play an important part in our mission to deliver this goal!
You will be working with the team developing our cutting-edge desktop application and its associated python backend. The app allows users to deploy, use, and build ML models collaboratively, as well as perform data analytics - all in a privacy-preserving, easy-to-use manner. The app runs on the user's own hardware rather than in the cloud, and therefore faces unique challenges in remaining both flexible and robust despite being deployed across disparate hardware and software environments.
?What we offer Compensation packageSalary based on experience and market rateShare optionsFlexible work and toolsHybrid Working policy - 1 day in our lovely Shoreditch office - Fora Montacute YardsA personal budget for any equipment you need to do your jobHolidays and family time25 days holiday a year, plus bank holidays - please use them all!Enhanced paid maternity, paternity and adoption leaveLearning and developmentPersonal learning budget to use on books, courses, conferences and moreHealth & WellbeingPrivate Medical Insurance including optical, dental and mental health.Cycle to work schemeCommunityRegular (optional) team and company events in and out of the officeLunch on Bitfount once a week in the office Bitfount is an equal opportunity employer. We do not discriminate on the basis of ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
Please note: all successful applicants will be subject to a DBS reference check in line with industry norms.
You may be fit for this role if you Have 5+ years of relevant experience designing and building software applications at a tech-forward, software company with a strong emphasis on system design principles and methodologies.Have an excellent working knowledge of Python and Python unit testing.Have proven experience in using automated testing frameworks and contributing to continuous integration pipelines.Have solid understanding of modern software development practices, including version control systems (e.g., Git) and continuous integration pipelines.Have strong communication skills to bridge the gap between design, product, and engineering.Have previous experience working in a fast-paced product company, with a significant amount of active users.Are enthusiastic about working on an ML-driven product team.Can pick things up quickly and adapt - we are a start-up after all!Are highly curious; you're not satisfied with getting something to work, you want to understand why it works and improve the quality of the product/software.Are highly driven to see things through to the end: the job isn't done until it's tested, in the product, and bringing value to our customers. Bonus points for: Experience with developing and deploying applications for Windows desktops or embedded systems.Experience with privacy, security, or qualifications in machine learning.Experience using PyTorch, TensorFlow for machine learning, or NumPy for general data science tasks. The interview process: Getting to know you: 30 minute chat with our People and Operations manager to talk about your experience and the role.Technical Screen: Take Home task relevant to the role.Technical call: A call with an engineer to discuss the take home task with live coding.Leadership interview - 60 minute chat with our Head of Engineering about your prior accomplishments and the challenges you've faced as an engineer.Optional Bit-of-Bitfount: A paid full day of work, working with the team on an assignment comparable to the regular duties of this role and getting to meet the team.Offer call.
#J-18808-Ljbffr