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Software Engineer – Backend (On-site), Bath
Location: Bath, 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; however, prior experience in Machine Learning is not required. This is an applied role, seeking a software engineer with experience in cloud computing and distributed systems.
Responsibilities include:
* Designing and developing highly scalable, fault-tolerant, and event-driven systems.
* Taking ownership of tasks with a high degree of autonomy.
* Collaborating with the founding team to establish best practices, standards, and culture.
* Mentoring colleagues to raise the company's technical standards.
* Leveraging AWS and managing it with Terraform.
* Writing services in C# (.NET 9) and deploying via ECS or Lambda with GitHub Actions.
* Using Postgres, SNS/SQS, and Redis.
* Maintaining good end-to-end test coverage and confident deployment practices.
Desired qualifications:
* 2-3+ years of industry experience in back-end development with reliable, scalable systems in an object-oriented language.
* Experience deploying to cloud platforms (AWS, GCP, Azure), containerization (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana).
* Curiosity and eagerness to learn.
* Strong problem-solving skills and attention to detail.
* Excellent communication skills for technical and non-technical stakeholders.
We recognize that few candidates check every box. Passion for solving complex challenges and openness to learning are valued.
Nice to have:
* Experience with Machine Learning, including generative models, LLMs, multi-modal models, and Deep Learning.
* Contributions to open-source projects.
* Startup experience and working in research-driven AI environments.
* Official role of “Founding Engineer” to make an immediate impact.
* Competitive salary, equity, and benefits.
* 28 days + public holidays leave.
* Opportunities for growth and career progression.
* Challenging engineering problems with industry impact.
* Work with high-profile customers and partners.
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