Staff AI/ML Engineer (United Kingdom)

Staff AI/ML Engineer

Location: London (Hybrid – 2 days/week in the office)

Type: Permanent, Full-time

About the Role

An established tech company is building out its next generation of intelligent software products and is looking for a highly experienced Staff-level AI/ML Engineer to lead hands-on development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone.

You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools from the ground up, this role offers the opportunity to shape something new in a growing, fast-paced environment.

Key Responsibilities

End-to-End ML Development

  • Own the full lifecycle of machine learning initiatives — from idea to deployment and monitoring.

Hands-On System Design

  • Architect scalable, reliable ML pipelines and APIs, leveraging cloud-native tools and services.

AI Feature Integration

  • Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software.

Technical Leadership

  • Set standards for MLOps, automation, and performance tuning across the engineering team.

Generative AI & LLMs

  • Explore and integrate modern techniques such as large language models and generative architectures.

Mentorship & Collaboration

  • Support peers through code reviews, design discussions, and knowledge sharing.

Scalability & Reliability

  • Solve practical challenges like data quality, explainability, and robust infrastructure for ML.

What You’ll Bring

  • 7+ years of hands-on experience building ML/AI systems in production.
  • 3+ years in a senior technical contributor or team lead role.
  • Advanced Python skills with exposure to common ML frameworks and data libraries.
  • Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform).
  • Understanding of distributed systems, microservices, and modern software architecture.
  • Hands-on experience with LLMs and generative AI models, including tuning and inference.
  • Ability to set up CI/CD pipelines for ML workflows and manage models in a cloud environment.
  • Strong communication and stakeholder engagement skills.
  • A relevant degree in Computer Science, Engineering, or a related field.

Tech Environment

  • Python
  • Java
  • AWS (incl. services for AI/ML)
  • LLM APIs and orchestration tools
  • Terraform, Docker
  • SQL-based databases
  • GitHub Actions and version control tools

Perks & Benefits

  • Competitive compensation
  • 25 days annual leave + bank holidays
  • Flexible remote work policy
  • Work from anywhere option (limited days/year)
  • Home office setup budget
  • Enhanced parental leave
  • Pension contribution plan
  • Collaborative and low-ego engineering culture

Important Notes

  • Applicants must be UK-based.
  • Unfortunately, this position is not eligible for visa sponsorship.
Company
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Location
Guernsey, UK
Hybrid / WFH Options
Posted
Company
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Location
Guernsey, UK
Hybrid / WFH Options
Posted