Employment Type : Full-time and Permanent Remuneration (London; On-site) : £70–90k Base Salary + Discretionary Bonus + Equity Overview

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. Responsibilities

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. Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree of autonomy over your work. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. Mentor your current colleagues, raising the bar for the company. 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 use Postgres, SNS/SQS and Redis. We have good end-to-end test coverage and are confident in our deployments. Qualifications

Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down a task into actionable steps. Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have

Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider ecosystem. Work in an environment conducting cutting-edge research in AI. An official role title of “Founding Engineer” – make an impact on day one. Competitive salary, equity and benefits package. 28 days + public holidays allowance. Opportunities for professional growth and progression with your career. Work on challenging engineering problems that have a real impact on the industry. Work with high-profile customers and technology partners.

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