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Staff AI/ML Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™

United Kingdom

Hybrid

GBP 90,000 - 120,000

Full time

7 days ago
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Job summary

A leading tech company is seeking a Senior Recruitment Consultant specialized in Machine Learning & AI to drive the development of innovative software products. This deeply technical role requires extensive experience in AI systems, focusing on hands-on project leadership and collaboration with cross-functional teams. The position is hybrid, based in London, offering a competitive salary and diverse benefits in a supportive engineering culture.

Benefits

Competitive compensation
25 days annual leave + bank holidays
Work from anywhere option
Home office setup budget
Enhanced parental leave
Pension contribution plan

Qualifications

  • 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 ML frameworks.

Responsibilities

  • Own the full lifecycle of machine learning initiatives.
  • Architect scalable, reliable ML pipelines and APIs.
  • Collaborate to integrate AI-driven functionality.

Skills

Python
AI/ML systems
Cloud platforms
Data processing

Education

Degree in Computer Science, Engineering, or related field

Tools

AWS
Terraform
Docker
SQL

Job description

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SR2 | Socially Responsible Recruitment | Certified B Corporation provided pay range

This range is provided by SR2 | Socially Responsible Recruitment | Certified B Corporation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Senior Recruitment Consultant - Machine Learning & AI Recruiter | Connecting Top Talent with Cutting-Edge Companies

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.
  • 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
  • Competitive compensation
  • 25 days annual leave + bank holidays
  • "Work from anywhere" option (limited days/year)
  • Home office setup budget
  • Enhanced parental leave
  • Pension contribution plan
  • Collaborative and low-ego engineering culture
  • Applicants must be UK-based.
  • Unfortunately, this position is not eligible for visa sponsorship.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Software Development

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