Graduate Software Engineer – ML Data Platform

Zettafleet; London; On-site; GBP 60,000 - 70,000; Full time

Job summary

A stealth-mode AI laboratory is seeking a Graduate Software Engineer to develop a scalable ML data platform. The role involves back-end development, cloud technologies, and collaboration with a talented founding team. Candidates should be passionate about data and problem-solving, with opportunities for growth and impact.

Benefits

Discretionary Bonus

Equity

28 days + holidays leave

Opportunities for growth and career progression

Relocation support

Qualifications

• Experience in developing data platforms or large-scale ETL pipelines.
• Strong understanding of core CS fundamentals and ability to optimize systems.

Responsibilities

• Design and develop a highly-scalable data platform for processing training data.
• Collaborate with the founding team on best practices and standards.

Skills

Python

Problem solving

Collaboration

Tools

AWS

GCP

Azure

Docker

Terraform

Job description

Graduate Software Engineer – ML Data Platform

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Employment Type: Full-time and Permanent

Remuneration: £60–70k Base Salary + Discretionary Bonus + Equity

We are a stealth-mode AI laboratory researching and developing Machine Learning models.

The founding team comprises 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.

In this role, you will:

• Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data.
• Develop methodologies and metrics to better understand the quality, structure, and distribution of training data.
• Architect training data validation, integrity, and safety mechanisms for state-of-the-art ML models.
• Collaborate closely with the founding team to contribute towards best practices, standards, and the company's culture.

What we are looking for:

• Back-end development: Experience in developing data platforms or large-scale ETL pipelines.
• Programming languages: Proficiency in Python for data pipelines, distributed systems, and micro-services.
• Cloud-native technologies: Experience deploying in cloud platforms (AWS, GCP, Azure), understanding of Docker, Terraform.
• Algorithms and data structures: Strong understanding of core CS fundamentals and ability to optimize systems.
• Problem solving: Analytical skills and attention to detail, with the ability to break down complex problems.
• Collaboration and communication: Excellent interpersonal skills and eagerness to learn.

We acknowledge that few candidates meet all criteria — passion for data and solving complex challenges is key. We’d love to hear from you if that’s you.

Nice to have:

• Machine Learning: Experience with generative models, LLMs, multi-modal models, Deep Learning.
• Open-source: Contributions or experience in open-source projects.
• Front-end: Experience with TypeScript, React, Next.js.
• Startup experience: Familiarity with startup environments.
• Experience in cutting-edge AI research environments.
• Official role title of “Founding Engineer” with immediate impact.
• Competitive salary, equity, benefits, and relocation support.
• 28 days + holidays leave.
• Opportunities for growth and career progression.
• Work on impactful engineering challenges.
• Engage with high-profile customers and partners.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industry

• Software Development