
Turing
Python/typescript engineer
Design and refine rubrics and evaluation criteria for preference data. Review and label data with a focus on quality, identifying subtle issues. Build and maintain pipelines and infrastructure for data workflows.

InvestEngine
·7 days agoInvestEngine
·7 days agoLocation
remote (anywhere)
Commitment
Full Time
Level
Middle (2-4 years)
InvestEngine is a fast-growing, London-based fintech on a mission to make ETF investing simple and accessible. More than 150,000 customers trust us with over £3.5 billion in assets, and we’ve been featured by Forbes, MoneyWeek and Finder. And we’re just getting started.
We’re looking for a Middle Backend Engineer to join our Backoffice team. Backoffice is the technical foundation behind our growing business: the internal systems, workflows and integrations that Operations, Compliance and Business teams rely on every day. As the company scales, there are more processes to automate and more systems to strengthen than the current team can deliver.
This isn’t a role for fast ticket execution. You’ll own problems end-to-end: understand how a back office process actually works, find where it can be automated or made more reliable, design a sound solution, align with the teams who depend on it and drive it through to production.
It’s a hands-on engineering role with no people management.
We’re a lean, collaborative engineering team where developers have real influence on architecture, product direction and engineering culture. You’ll have autonomy, trust and support while working on business-critical systems that scale with the company, without micromanagement or unnecessary bureaucracy.

Turing
Design and refine rubrics and evaluation criteria for preference data. Review and label data with a focus on quality, identifying subtle issues. Build and maintain pipelines and infrastructure for data workflows.

Turing
Create datasets for training and benchmarking large language models, curate code examples, and provide solutions primarily in Python. Evaluate and refine AI-generated code for efficiency and scalability, and collaborate with cross-functional teams to enhance AI-driven coding solutions.

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