Software Engineer – ML Data Platform

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

Job summary

A stealth-mode AI laboratory seeks a Software Engineer for their ML Data Platform. This role involves designing scalable data solutions and collaborating with a team of experienced professionals. Candidates should have a strong background in backend development and cloud technologies, with a competitive salary and equity options. Passion for data and problem-solving is essential.

Benefits

Discretionary Bonus

Equity

28 days + public holidays allowance

Opportunities for professional growth

Competitive salary

Qualifications

• At least 2–3 years of industry experience in back-end engineering.
• Experience in developing and deploying in cloud platforms (AWS, GCP, Azure).
• Strong analytical problem-solving skills and attention to detail.

Responsibilities

• Design and develop a highly-scalable data platform for machine learning.
• Architect training data validation and integrity mechanisms for ML models.
• Work closely with the founding team to contribute standards and best practices.

Skills

Back-end development

Proficiency in Python

Cloud-native technologies

Algorithms and data structures

Problem solving

Collaboration and communication

Tools

AWS

GCP

Azure

Docker

Terraform

Job description

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Software Engineer – ML Data Platform, slough

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Client:

Location:

slough, 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: £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.

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.
• Be given a high degree of autonomy and ownership over your work.
• 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: At least 2–3 years of industry 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.
• 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.