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