AI Research Engineer developing sophisticated workflows leveraging LLM models at Cisco. Collaborating with teams to ensure security and scalability of AI solutions.
About the role
- Senior AI Researcher developing Aurora, an AI system for guiding financial outcomes at Moneybox. Collaborating with ML engineers and scientists to design scalable architecture and prototype solutions.
Responsibilities
- 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
Requirements
- 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.
Benefits
- 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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