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Machine-Learning

Software Engineer at Coefficient Systems Ltd

Remote: No | Relocation: No
London,United Kingdom | Sep 18, 2019

_"Machine Learning will impact every industry on Earth, including manufacturing, agriculture, healthcare and many more" – Fei-Fei Li_ We are looking for a *Software/Data/DevOps Engineer* to join the *Coefficient team full-time in London*. You'll be working on projects with multiple clients across different industries, from financial services to healthcare to app startups and beyond. You'll be expected to take ideas from whiteboard to deployment, to design and build cloud architecture, and to ensure the code we deliver continues to meet the high standards our clients have come to expect from Coefficient. This is no ordinary software engineering role: you will also be delivering Python workshops, mentoring junior developers and taking a lead on some of the super secret AI-infused products that we've been developing in Coefficient Labs. We aim to be best-in-class at what we do, and we want to work with people who share that same attitude. ## About Us [Coefficient](https://coefficient.ai) is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses. We are driven by the challenge of solving …Read more

Software Engineer - Robotics, Machine Learning, And Python/Django! at Counsyl

Remote: No | Relocation: Yes
San Francisco,Ca,United States | Apr 23, 2014

**Software is at the heart of Counsyl!** The vast majority of our operations are powered by our own custom-built infrastructure on a Python/Django/Postgres stack, from ordering to lab processing to billing. We’re building new tools, new workflows, and new infrastructure to solve the challenging problems of a technology startup involved with not just bits, but also interconnected physical components like lab robotics and patient samples. Don’t be intimidated if you don’t have a genomics background; solving these problems fundamentally requires software solutions. We’re looking for the best and brightest software engineers — strong generalists with solid CS fundamentals and practical software engineering intuition — to help us scale up genomics to billions of users. Prerequisites: ---- - BS, MS or PhD in Computer Science or equivalent experience - Strong software engineering fundamentals: design, testing, version control - Significant independent programming experience as demonstrated by a GitHub account, personal web page, or prior experience. We like to see experience with: --- - Python, Django, CoffeeScript, Backbone.js, Bootstrap, HTML5, CSS - NumPy, SciPy, scikit-learn - Relational database systems, such as PostgreSQL - …Read more


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