Job Title

Staff AI/ML Engineer Location: London (Hybrid – 2 days/week in the office) Type: Permanent, Full-timeAbout the RoleAn 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 ResponsibilitiesEnd-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 Bring7+ 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 EnvironmentPythonJavaAWS (incl. services for AI/ML)LLM APIs and orchestration toolsTerraform, DockerSQL-based databasesGitHub Actions and version control toolsPerks & BenefitsCompetitive compensation25 days annual leave + bank holidaysFlexible remote work policy"Work from anywhere" option (limited days/year)Home office setup budgetEnhanced parental leavePension contribution planCollaborative and low-ego engineering cultureImportant NotesApplicants must be UK-based.Unfortunately, this position is not eligible for visa sponsorship.