Senior AI & Data Engineer

Dablam is an AI-native reputation intelligence firm. We help law firms, corporations and private clients build competitive advantage through reputation, shaping how they’re understood in an information environment increasingly mediated by AI and large language models. We surface information that is true and under-represented, and make sure it reaches the right audiences, in the right context, at the right time. Reputation has become a commercial asset. What an LLM says about a company or an individual now shapes how customers, investors, regulators and counterparties make decisions. We give clients a measurable edge in that environment: stronger, more accurate representation where it matters, and early sight of the reputational risks that don’t yet show up anywhere else. Our advantage is proprietary technology that most firms can’t replicate, and it’s why we’re trusted by global enterprises in regulated sectors and major law firms. We are profitable, founder-funded, and growing more than 300 per cent year-on-year, with no outside capital. We are scaling a business that already works, in a category we are helping to define.

Why this role, why now: You are joining at a pivotal moment. Our analysis is the part of the business clients value most. Orion, our platform, already runs large query sets across the major AI models and turns the responses into narratives, scores and sources, in daily production use. The next stage is measuring how those narratives change over time, not only what they are today. How AI models describe a company or an individual now shapes decisions by customers, investors, regulators and banks. Measuring that representation rigorously, at scale, across models that change every few months, is a largely unsolved problem. You will own the analysis engine and decide where it goes next, reporting to the CEO and working alongside our Full Stack Engineer. The analytical method behind every Dablam report will be the one you shape. We are a small firm, and we expect you to form your own view on what matters most, what is broken and where the platform should invest next, and to say it early and directly. Raising a problem or challenging a priority is part of the job, not an interruption to it.

What you’ll do: You will be the owner of the analysis engine behind our platform, and the method that makes every narrative, score and trend defensible. You are the single point of accountability for the quality of Orion’s analysis across five areas:

• Topic modelling and metrics: Own the clustering and scoring methodology - how narratives are discovered, how their quality is evaluated, and how results are kept reproducible.
• Narratives over time: Matching narratives across runs as models, sources and vocabulary drift, so clients can see how their representation moves.
• A durable pipeline: Own query generation and collection at scale across the major model providers, including batching, rate limits and cost. A run that fails must restart cleanly without corrupting data.
• Validation: Test the stability of narratives and scores, quantify uncertainty, and establish whether our measures track real-world change.
• New analysis lenses: Build what clients ask for next, including entity recognition and lenses for due diligence and compliance work.

What we’re looking for: This role suits someone who wants to own a hard, unsolved measurement problem outright, with their work in front of clients every month.

• The right to work in the UK (we are unable to sponsor or transfer visas for this role).
• Applied natural language processing: topic modelling or clustering, and rigorous evaluation of the results.
• Practical statistics: sampling, uncertainty, and comparing measurements over time.
• Experience building and running data pipelines at volume.
• Experience working with large language model APIs at scale.
• The ability to explain methods and trade-offs clearly to non-technical colleagues.
• A record of shipping in small teams, where you owned the outcome end to end.

What we offer: Base salary of £90,000–£120,000, benchmarked to experience. Generous paid leave, plus additional days for the holidays and for volunteering. A professional development budget, plus direct mentoring from our CEO. Hybrid working: three days on site in our London office, with flexibility around the rest of the week.