We’re building a statistically rigorous, transparent platform for understanding complex audience data. It gets to the heart of what people really think - turning messy human responses into reliable, quantifiable insights. Our architecture combines statistical frameworks with machine learning and large language models, ensuring reproducible results, protection against hallucinations, and consistent quality at scale.
We’ve secured a competitive deep-tech EU grant and are closing a £750k pre-seed round led by a specialist AI fund. We’re already working with major universities, marketing agencies, professional services firms and private equity groups. Now we’re moving from prototype to production, scaling our first deployments and building the engineering foundation for what comes next. As one of our first hires, you’ll help shape WholeSum’s technology, culture, and future.
For too long, organisations have settled for glorified word clouds, crude sentiment tracking or unreliable AI summaries. We're changing that, making complex human data an asset and not a burden. This is a hard, meaningful problem – come help us solve it.
We’re hiring a Founding Engineer to build the infrastructure and APIs that power WholeSum’s analysis engine. You’ll design the systems that ingest, structure, and serve insights from massive volumes of human feedback. You’ll define the architecture, data models, and scaling patterns that make our platform fast, reliable, and auditable.
You’ll work directly with our CTO – a mathematician with deep experience of turning complex data into real-world insight – and collaborate with enterprise clients to ensure our systems are robust, scalable, and genuinely useful.
You have a strong background in Python, ML frameworks, data pipelines, and APIs
You're excellent at turning prototypes into reproducible, testable modules ready for production
You’re comfortable working with our core stack – Next.js, FastAPI, and AWS – and helping it evolve as we grow
You’re excited by the challenge of making messy human data trustworthy and actionable
You care about building products that are secure, transparent, and actually used
Experience working with statistical or machine learning systems, including natural language data
Interest in AI reproducibility and auditability
Experience building in early-stage or startup environments
£80,000-£100,000