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Software Engineer – Backend (On-site), High Wycombe
Client:
Location:
High Wycombe, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Views:
4
Posted:
31.05.2025
Expiry Date:
15.07.2025
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 designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role, seeking 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 with a high degree of autonomy.
* Collaborate with the founding team to establish best practices, standards, and company culture.
* Mentor colleagues to raise the company's skill level.
* Leverage AWS extensively, managing it with Terraform.
* Develop services in C# (.NET 9) and deploy via ECS or Lambda using GitHub Actions.
* Work with Postgres, SNS/SQS, and Redis.
* Maintain good end-to-end test coverage to ensure confident deployments.
What we are looking for:
* Back-end development experience: 2-3 years in developing reliable, scalable systems using an object-oriented programming language.
* Cloud-native technologies: Experience deploying to cloud platforms (AWS, GCP, Azure), containerisation (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana).
* Curiosity: Eagerness to learn and develop new skills.
* Problem-solving skills: Strong analytical abilities and attention to detail, with the capacity to break down tasks into actionable steps.
* Communication and collaboration: Excellent interpersonal skills, capable of engaging with both technical and non-technical stakeholders.
We acknowledge that few candidates meet all criteria—passion for solving complex challenges and willingness to learn are highly valued.
Nice to have:
* Machine Learning experience: Knowledge of generative models, LLMs, multi-modal models, and Deep Learning.
* Open-source contributions: Participation in open-source projects.
* Startup experience: Familiarity with startup environments and ecosystems.
* Experience in cutting-edge AI research environments.
* An official role of “Founding Engineer” with immediate impact.
* Competitive salary, equity, and benefits.
* 28 days + public holidays leave.
* Opportunities for professional growth.
* Work on impactful engineering problems.
* Engage with high-profile customers and partners.
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