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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in GenAI architecture and system design, with a strong focus on Python, SQL, and MLOps tooling. Capable of leading engineering teams, shaping hiring standards, and effectively communicating complex technical concepts to diverse stakeholders.
Highest-signal resume keywords
Strong PythonStrong SQLGenAI Stack ExpertiseMLOps Tooling FluencyAWS and GCP Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLGenAI StackMLOps ToolingCloud InfrastructureSystem DesignEvaluation InfrastructureData PipelinesArchitectural StandardsProduction Systems
Soft Skills
Technical CommunicationSelf-AwarenessMentoringDecision OwnershipStakeholder Engagement
Industry Keywords
AI SystemsRetrieval PatternsVector StoresAgentic OrchestrationMultimodal WorkGraceful DegradationFallback BehaviorCost ControlsLatency ControlsQuality Standards
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Set the architecture standard for complex GenAI work across the function
- Hold sign-off on materially complex AI systems, identifying architectural, safety and reliability problems before production
- Own shared foundations including retrieval patterns, evaluation infrastructure, data pipelines and tooling
- Build the hardest work directly and act as the technical escalation point
- Design production systems with graceful degradation, fallback behavior, cost and latency controls
- Develop senior engineers through challenging problems, decision ownership and feedback
- Shape hiring and review standards
- Bring actionable industry insight into planning and architecture decisions
- Build AI features for Motorway's online car-selling marketplace serving private sellers and verified dealers
Requirements
What you’ll need- Strong Python
- Strong SQL usage
- Deep, current expertise across the GenAI stack, including retrieval at scale, vector stores, agentic orchestration, multimodal work, evaluation infrastructure and fine-tuning where it earns its place
- Fluency in MLOps tooling, deployment and cloud infrastructure
- Experience with AWS and GCP
- Experience designing systems that survive production and ownership when they fail
- Strong point of view on evaluation and regression detection
- Direct contributions that set a quality bar for others
- Ability to explain complex technical trade-offs to non-technical stakeholders
- Self-awareness about knowledge limitations and willingness to bring in expertise early
- Experience setting technical direction adopted by other engineering teams
- Experience developing and leveling up engineers
- Must be able to work in the United Kingdom; application asks whether sponsorship for employment visa status in the United Kingdom is required
Benefits
Comp & perks- Equity scheme - we all share in Motorway's success
- 25 days holiday
- Flexible working (2 days a week in our London office, with socials and snacks galore)
- Private medical insurance via BUPA
- Life assurance
- Pension scheme (we contribute 5%)
- Enhanced family leave (e.g. 26 weeks full pay for maternity or adoption)
- 24/7 Employee Assistance Programme
- EV leasing scheme
- Cycle to work scheme
- Nursery salary sacrifice scheme
- 1 paid volunteering day a year
