Staff AI/ML Engineer

JR United Kingdom; Woking; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A leading tech company is seeking a Staff-level AI/ML Engineer to drive the development of innovative machine learning systems. In this deeply technical role, you will design scalable architectures and collaborate on integrating AI functionality into products. Your expertise in building production-grade AI tools will be key to shaping the next generation of intelligent software.

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.
• 3+ years in a senior technical contributor role.
• Advanced Python skills required.

Responsibilities

• Lead end-to-end ML development from idea to deployment.
• Architect scalable ML pipelines and APIs.
• Set standards for MLOps and automation.

Skills

Python

AWS

ML Frameworks

Data Libraries

CI/CD Pipelines

Communication

Education

Degree in Computer Science, Engineering, or related field

Tools

Terraform

Docker

SQL

GitHub Actions

Job description

Social network you want to login/join with:

SR2 | Socially Responsible Recruitment | Certified B Corporation

Location:

woking, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

3

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

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.