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# AI Engineer

- **Company:** Infusedsolutions
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Salary:** £60,000.0 - £70,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Relational Databases, Distributed Systems, Interoperability, Python (Programming Language), PostgreSQL, Machine Learning, Standard Sql, SQL Databases, Pytorch, Large Language Models, Backend, Git, Fastapi, Containerization, Kubernetes, Apache Kafka, Restful APIs, Terraform, Service Stack, Databricks, Microservices
- **Published:** July 1, 2026
- **Apply:** https://infusedsolutions.co.uk/jobs/374707-software-development-engineering-senior-ai-engineer-uk-remote-374707-england

## About the Role

+ 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 (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

## Description

As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services.
You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments., + 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


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