London - ML Ops Engineer II (Experiences)
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Clera
NewLead end-to-end development of AI-driven solutions on a platform serving multiple client types and industries, working hands-on with a small team to prototype, test, and productionize systems that streamline operations. You'll identify operational problems, design AI solutions with real data, define success metrics, and build configurable platform components while reporting to VP of Product and Technology. This role requires demonstrated experience shipping AI prototypes in production, designing systems handling edge cases, thinking systemically about long-term implications, and collaborating with engineers to deliver reliable, scalable products. Remote, US-based. $160,000–$230,000 annually.
Written from this posting by Neural Jobs AI. The full description is below.
A hands-on leader focused on building an AI first platform that serves multiple client types within a small, capable team. You will own end to end exploration, prototyping, and delivery of AI driven solutions that streamline operations and replace manual workflows.
Identify operational problems and design AI driven solutions that can be prototyped and tested with real data.
Collaborate with engineers to productionize prototypes into reliable and scalable systems.
Define measurable metrics for complex problems and develop AI based solutions to address them.
Own the development of a decision engine and related tooling that serves diverse user needs.
Contribute to closed loop attribution and reporting work streams tied to business outcomes.
Build a single platform that serves multiple agencies and industries with shared components and configurable elements.
Report to the VP of Product and Technology and partner with leadership as needed.
Strong track record shipping working prototypes and AI driven solutions with real world data.
Experience designing and building AI driven systems that handle edge cases and failure modes in production.
Ability to think in systems with attention to second order effects and long term implications.
Clear, concise written communication and the ability to document decisions effectively.
Hands on builder mindset with preference for simplifying workflows over merely automating them.
Comfort working in ambiguous problem spaces and collaborating with small teams to drive outcomes.
Experience aligning operational problems to measurable outcomes and validating with data.
Experience collaborating with engineering to productionize prototypes and deliver reliable systems.
Strong background in AI prototyping, platform design for multiple user types, and cross industry applicability.
Salary range: 160000-230000 USD annually. Visa sponsorship not available at this time.
Work arrangement: remote. Primary location: United States
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