Software Engineer – Backend (On-site)

JR United Kingdom; Oxford; On-site; GBP 70,000 - 90,000; Full time

Job summary

A stealth-mode AI laboratory in Oxford seeks a backend engineer to develop scalable systems for Machine Learning applications. Join a team of experienced professionals from prestigious backgrounds, contribute to innovative projects, and enjoy a competitive salary, bonus, and equity. This permanent role emphasizes cloud technologies and autonomous problem-solving in a collaborative environment.

Benefits

Competitive salary and equity

28 days annual leave + public holidays

Professional growth opportunities

Work with high-profile customers

Qualifications

• At least 2-3 years of experience in back-end development.
• Experience with cloud platforms and containerization.
• Strong analytical problem-solving skills.

Responsibilities

• Design and develop backend infrastructure for Machine Learning workloads.
• Work with the founding team to establish best practices.
• Mentor colleagues and contribute to company culture.

Skills

Problem solving

Collaboration and communication

Cloud-native technologies

Tools

AWS

Terraform

C# (.NET 9)

Postgres

Docker

Job description

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Client:

Location:

oxford district, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Location: London (Liverpool Street)

Employment Type: Full-time and Permanent

Remuneration (London; On-site): £70–90k 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.

In this role, you will:

• 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.

What we are looking for:

• 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.

We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you.

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.