2 months ago
London, United KingdomStaff+
Responsibilities
- Set the architecture standard for complex Generative AI work across the function through hands-on implementation and technical leadership.
- Sign off on materially complex AI systems and identify architectural, safety, and reliability risks before production.
- Own shared foundations including retrieval patterns, evaluation infrastructure, data pipelines, and engineering tooling.
- Build the hardest technical components and act as the escalation point for difficult GenAI problems.
- Design production systems with graceful degradation, fallback behavior, affordability, and suitable cost and latency.
- Develop senior engineers through coaching, feedback, delegation, and increasingly challenging technical ownership.
- Shape hiring and engineering reviews by defining clear standards for quality.
- Provide actionable industry insight and explain technical trade-offs to non-technical stakeholders.
Requirements
- Experience setting technical direction that engineering teams adopted, including the ability to discuss both successes and failures.
- Strong Python skills and practical SQL experience for grounding data, golden datasets, and failure analysis.
- Deep current expertise in retrieval at scale, vector stores, agentic orchestration, multimodal systems, evaluation infrastructure, and appropriate fine-tuning.
- Experience with MLOps tooling, deployment, and cloud infrastructure on AWS and GCP.
- Experience designing and operating production systems, including responsibility when systems failed.
- A strong perspective on evaluation and distinguishing regression-detecting evaluations from evaluations that merely provide reassurance.
- Direct contributions that establish a high quality bar for other engineers.
- Ability to communicate complex technical trade-offs clearly to non-technical stakeholders.
- Self-awareness about knowledge gaps and willingness to involve relevant expertise early.
- Experience improving other engineers through talks, reviews, coaching, or day-to-day collaboration.
Benefits
- Competitive salary and equity scheme.
- 25 days of holiday.
- Flexible working with two days per week in the London office.
- Private medical insurance through BUPA.
- Life assurance and a pension scheme with a 5% employer contribution.
- Enhanced family leave, including 26 weeks of full-pay maternity or adoption leave.
- 24/7 Employee Assistance Programme.
- EV leasing, cycle-to-work, nursery salary sacrifice, and one paid volunteering day per year.
Tech Stack
Categories
About Motorway
Motorway is a UK online marketplace for selling used cars, connecting private owners with verified dealerships through daily auctions. Sellers list vehicles via the app and dealers bid remotely, with the winning buyer arranging payment and collection. Founded in 2017 and headquartered in London, it is privately held and works with 8,000+ dealers nationwide, having helped hundreds of thousands of people sell their cars.