Graduate Software Engineer - ML Data Platform

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

Job summary

A stealth-mode AI laboratory in London seeks a Founding Engineer to design scalable data platforms and methodologies for Machine Learning models. Join a team of Cambridge graduates and former engineers from top tech firms, working on cutting-edge AI research. This role offers a competitive salary, equity, and a chance to make a significant impact from day one.

Benefits

Competitive salary

Equity and benefits package

Financial assistance for relocation

28 days + public holidays allowance

Opportunities for professional growth

Qualifications

• Experience in back-end engineering developing data platforms or ETL pipelines.
• Proficiency in Python for data pipelines, distributed systems, and micro-services.
• Excellent understanding of core CS fundamentals.

Responsibilities

• Design and develop a highly-scalable data platform for training data.
• Architect training data validation and safety mechanisms for ML models.
• Co-hire future colleagues and contribute to company culture.

Skills

Problem solving

Collaboration and communication

Tools

Python

Docker

Terraform

AWS

GCP

Azure

Job description

Job Description

Team: Machine Learning

Location: London (Liverpool Street)

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 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.

In this role, you will:

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

What we are looking for:

• Back-end development: Experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines.
• Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services.
• Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform).
• Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems.
• Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks.
• Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn.

We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, 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.
• Front-end: Experience with TypeScript and front-end libraries such as React or Next.js.
• Startup experience: Experience with a startup work environment and wider ecosystem.

Why join us?

• 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.
• Financial assistance for relocation to London.
• 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.