Senior AI Engineer - UK Remote

Salary: £70,000 - 70,000 per year

Requirements

• Strong experience in backend, data, or ML engineering
• Advanced Python skills and experience with FastAPI, Flask, or Django
• Experience building scalable APIs and microservices
• Strong SQL and relational database knowledge, with PostgreSQL preferred
• Experience with AWS and/or Azure cloud environments
• Understanding of distributed systems and scalable architectures
• Exposure to machine learning, NLP, or AI-driven systems
• Experience with CI/CD pipelines, testing, and containerisation
• Strong problem-solving and communication skills

Responsibilities

• Design and maintain scalable AI pipelines and processing workflows
• Develop and optimise RESTful APIs and microservices for AI services
• Build cloud-native backend systems aligned with best engineering practices
• Collaborate with Data Scientists to productionise ML models
• Improve system performance, observability, reliability, and security
• Contribute to CI/CD pipelines, automated testing, and infrastructure automation
• Support integration and interoperability across enterprise platforms
• Translate technical requirements into scalable, maintainable solutions

Technologies

• AI
• AWS
• Azure
• Backend
• CI/CD
• Cloud
• Django
• FastAPI
• Flask
• Support
• Machine Learning
• PostgreSQL
• Python
• SQL
• Security
• microservices
• Databricks
• Git
• Kafka
• Kubernetes
• PyTorch
• Terraform

More

We are a growing organisation looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. You will join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. This is a full-time UK remote role for UK-based candidates only, with a salary of £60,000 to £70,000. Sponsorship is not available. We offer fully remote working within the UK, the opportunity to work on cutting-edge AI and machine learning systems, exposure to modern cloud and AI technologies, a collaborative engineering environment, and strong career growth opportunities within a growing AI function.

last updated 29 week of 2026