Senior AI Engineer – Perm – London

Overview

As a Senior AI Engineer, you design and scale enterprise-grade AI platforms, bridging research and production. You will own AI infrastructure, data pipelines, and cloud-native services, collaborating with data scientists and product teams to deliver robust AI solutions at scale. You provide technical leadership, mentors teammates, and shape engineering standards across the tech organization. This role offers remote work with optional hybrid setup near London and a chance to work on cutting-edge AI, ML, and NLP initiatives. You’ll impact production-grade AI systems and contribute to a culture of innovation.

Pay / Benefits

• remote-first
• annual bonus
• private healthcare
• pension scheme
• 25+ days annual leave plus bank holidays
• Learning and development budget

Responsibilities

• Design, build and maintain scalable AI data pipelines and processing workflows
• Architect cloud-native backend systems and distributed AI services
• Collaborate with Data Scientists to productionise ML and NLP models
• Develop high-performance RESTful APIs and microservices for AI model serving
• Drive system reliability, monitoring, observability and performance optimization
• Champion CI/CD, automated testing and Infrastructure as Code
• Improve integration and data exchange across enterprise platforms
• Translate complex requirements into scalable engineering solutions
• Mentor junior engineers and provide technical leadership across projects
• Contribute to architecture decisions, engineering standards and long-term tech strategy

Key requirements

• 5+ years’ commercial experience in AI/ML/Data/Backend engineering
• Expert-level Python development
• Experience productionising ML, NLP or Generative AI models
• Strong RESTful API and microservices experience (FastAPI, Flask, Django)
• Strong SQL and relational database design
• Commercial experience with AWS and/or Azure
• Experience designing distributed systems and scalable architectures
• Experience with Docker, Kubernetes and containerised deployments
• Strong CI/CD, automated testing and engineering best practices
• Excellent communication and cross-functional collaboration skills

• communication
• mentoring
• cross-functional collaboration
• Python
• FastAPI
• PyTorch

…