You will work with other ML researchers, data scientists and ML engineers to:
Propose and prototype architectures that address our core problem set, with clear-eyed assessments of engineering complexity and scalability tradeoffs
Code proofs of concept to validate hypotheses and test the limits of theoretical approaches, grounded in empirical reality rather than theory alone
Serve as the team’s research lead
setting the intellectual agenda, running literature reviews, and keeping the team calibrated to what is actually state of the art versus what is hype
Challenge existing architectural decisions, including ones we are currently confident about
Input information to the Director of AI and Decision Intelligence and the wider AI team for decisions on objective functions, data strategy, and content strategy to ensure long-term coherence between research direction and overall system goals
Collaborate with academic partners where relevant and possible, with scope to contribute to publishable work emerging from applied research

3+ years in an ML research or engineering role with meaningful exposure to text generation, agentic systems, or symbolic reasoning (one of is fine)
or equivalent academic experience with real applied components
Demonstrated ability to prototype rapidly and evaluate results honestly
Knowledge of applied machine learning, model tuning and model evaluation
Knowledge of the latest approaches in generative AI, including SoTA models
Familiarity with open-source LLM ecosystems and cloud infrastructure sufficient to bootstrap independently
You think in systems
you can hold the interaction between components in your head, reason about failure modes, and identify where theoretical elegance will break against production constraints
You have an optimisation mindset, not just in the technical sense but in how you approach problems generally
you look for the lever, not the brute force solution
You are comfortable with high autonomy and wide scope in a fast-paced environment
You deliver great results while managing your own pace sustainably
You read the literature seriously, have opinions about it, are willing to defend them, and willing to update them
You are not scared of ambiguity and thrive more when the problem is harder than when the solution space is clear.

Opportunity to join a fast-growing, award-winning and super ambitious company
Work with a friendly team of highly motivated individuals
Be in an environment where you are listened to and can actually have an impact
Thriving collaborative and inclusive company culture
Company bonus scheme
Company pension scheme
Home office furniture allowance
Personal Annual Learning and Development budget
Private Medical Insurance
Health Cash Plan (cashback on visits to the dentist & opticians etc)
Cycle to work scheme
Gympass subscription to a variety of gyms and wellbeing apps
Enhanced parental pay & leave
Hybrid working environment (2 days in our London office)
25 days holiday + bank holidays with additional days added with length of service.

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