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Senior Applied AI/ML Engineer

Stott and May United Kingdom
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AI Summary

Build and deploy production AI/ML systems for a fast-growing YC-backed startup transforming a traditionally manual industry. Own projects from experimentation to production, collaborating with engineers and domain experts to solve real-world problems. Requires 2+ years in AI/ML engineering, Python proficiency, and a product mindset with high ownership in a dynamic environment.

Key Highlights
Applied AI/ML role focused on production systems, not research
Full ownership from experimentation to deployment and iteration
Collaborate with engineers, domain experts, and users to shape AI-driven workflows
Key Responsibilities
Build and deploy production AI/ML systems to solve real customer and operational problems
Develop, evaluate, and iterate on models and AI-driven workflows from initial experimentation to production
Work closely with users and domain experts to understand problems and shape the product
Technical Skills Required
Python Machine Learning Production AI/ML Systems
Benefits & Perks
Equity participation
UK Skilled Worker visa sponsorship
Health insurance

Job Description


Applied AI Engineer (AI/ML) - London - YC-backed start-up


We’re working with a fast-growing YC-backed technology company using AI to transform a complex, traditionally manual industry.


Already working with major customers and backed by leading investors, they’re growing their engineering team and looking for an Applied AI Engineer to build production AI systems used across critical real-world workflows.


The Role

This is an applied, product-focused AI role rather than a research position.

You’ll take real operational problems and turn them into production AI/ML systems, working across experimentation, modelling, evaluation, deployment and iteration. You’ll work closely with engineers, domain experts and users, with significant ownership over what gets built and how it performs in production.


What You’ll Do

  • Build and deploy production AI/ML systems solving real customer and operational problems
  • Develop, evaluate and iterate on models and AI-driven workflows
  • Turn complex, ambiguous problems into scalable technical solutions
  • Work closely with users and domain experts to understand problems and shape the product
  • Own projects from initial experimentation through to production
  • Help shape AI engineering practices as the team scales


Requirements

  • 2+ years' experience across Data Science, Machine Learning or AI Engineering
  • Experience taking ML/AI systems beyond experimentation and into production
  • Strong Python and practical ML fundamentals
  • A product mindset and a track record of building solutions around real user problems
  • Comfortable working across modelling, engineering and deployment
  • Able to communicate effectively with technical and non-technical stakeholders
  • Comfortable operating with high ownership in a fast-moving start-up environment


Benefits

  • Equity participation
  • UK Skilled Worker visa sponsorship
  • Health insurance
  • Pension contributions
  • Company offsites



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