Staff AI/ML Engineer

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.