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.