Team: Machine Learning 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.
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.
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.
AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., 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.
If you are passionate about data and enjoy solving complex challenges, we would love to hear from you.
Machine Learning: Contributions to and experience in open-source projects.
Front-end: Experience with TypeScript and front-end libraries such as React or Next.js.
Work in an environment conducting cutting-edge research in AI.
~ Competitive salary, equity and benefits package.
~28 days + public holidays allowance.
~ Opportunities for professional growth and progression with your career.
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