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Senior Machine Learning Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation
Bristol
2 months ago
Applications closed

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Senior Machine Learning Engineer (AI Platform)

Senior AI/ML Engineer

Location:UK Remote

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 experiencedStaff-level AI/ML Engineerto 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.

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