Team: Backend Location: Remote
Employment Type: Full-time and Permanent
Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity
We are a stealth-mode AI laboratory researching and developing Machine Learning models.
The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.
The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems.
Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work.
We use and leverage AWS as much as possible and manage it with Terraform.
Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions.
We have good end-to-end test coverage and are confident in our deployments.
5+ years of industry experience in back-end engineering, developing reliable and scalable systems with an object-oriented programming language.
AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., A track record of leading complex projects.
You have the ability to break down complex projects into actionable tasks.
Machine Learning: Contributions to and experience in open-source projects.
Work in an environment conducting cutting-edge research in AI.
~ Competitive salary, equity and benefits package.
~28 days + public holidays allowance.
~ Opportunities for professional growth and progression with your career.
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