Senior AI Engineer - London

Infused Solutions Ltd; Greater London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

Infused Solutions Ltd. is seeking a Senior AI Engineer in London on a hybrid basis. The role focuses on designing and building scalable AI data pipelines and cloud-native backend systems to support ML, NLP and Generative AI models.

You will collaborate with Data Scientists to productionise models, develop RESTful APIs for model serving, and ensure observability and reliability across production environments. Excellent leadership and communication are essential.

Qualifications

• Degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.
• 5+ years of commercial experience in Backend Engineering, Data Engineering or Machine Learning Engineering.
• Expert-level Python development skills.
• Commercial experience with Machine Learning, NLP or AI platforms.
• Experience productionising machine learning models at scale.
• Strong experience designing RESTful APIs and microservices using frameworks such as FastAPI, Flask or Django.
• Experience working with SQL and relational databases, including performance optimisation.
• Experience designing cloud-native solutions within AWS and/or Azure.
• Strong understanding of distributed systems and scalable architectures.
• Experience with Docker, Kubernetes and containerised deployments.
• Knowledge of CI/CD pipelines, automated testing and Infrastructure as Code.
• Excellent communication and stakeholder management skills.
• A passion for mentoring and developing other engineers.

Responsibilities

• Design, build and maintain scalable AI data pipelines and processing workflows.
• Develop cloud-native backend systems and scalable microservices.
• Partner closely with Data Scientists to productionise Machine Learning, NLP and Generative AI models.
• Build and optimise RESTful APIs for AI model serving.
• Monitor system reliability, model performance and observability across production environments.
• Drive best practices across CI/CD, automated testing, Infrastructure as Code and MLOps.
• Improve system integration and interoperability across enterprise platforms.
• Support internal and external consumers of AI services and APIs.
• Translate evolving business requirements into scalable engineering solutions.
• Mentor junior engineers and provide technical leadership within the team.
• Contribute to architectural decisions and influence engineering standards.

Skills

Python

RESTful APIs

Distributed systems

Mentoring

CI/CD

MLOps

Stakeholder mgmt

Communication

Education

CS/SE/AI degree

Tools

AWS

Azure

Django

Docker

FastAPI

Flask

Kubernetes

PyTorch

Python

SQL

Git

Job description

Salary: £65,000 - 75,000 per year

Requirements:

• Degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.
• 5+ years of commercial experience in Backend Engineering, Data Engineering or Machine Learning Engineering.
• Expert-level Python development skills.
• Commercial experience with Machine Learning, NLP or AI platforms.
• Experience productionising machine learning models at scale.
• Strong experience designing RESTful APIs and microservices using frameworks such as FastAPI, Flask or Django.
• Experience working with SQL and relational databases, including performance optimisation.
• Experience designing cloud-native solutions within AWS and/or Azure.
• Strong understanding of distributed systems and scalable architectures.
• Experience with Docker, Kubernetes and containerised deployments.
• Knowledge of CI/CD pipelines, automated testing and Infrastructure as Code.
• Excellent communication and stakeholder management skills.
• A passion for mentoring and developing other engineers.

Responsibilities:

• Design, build and maintain scalable AI data pipelines and processing workflows.
• Develop cloud-native backend systems and scalable microservices.
• Partner closely with Data Scientists to productionise Machine Learning, NLP and Generative AI models.
• Build and optimise RESTful APIs for AI model serving.
• Monitor system reliability, model performance and observability across production environments.
• Drive best practices across CI/CD, automated testing, Infrastructure as Code and MLOps.
• Improve system integration and interoperability across enterprise platforms.
• Support internal and external consumers of AI services and APIs.
• Translate evolving business requirements into scalable engineering solutions.
• Mentor junior engineers and provide technical leadership within the team.
• Contribute to architectural decisions and influence engineering standards.

Technologies:

• AI
• AWS
• Azure
• Backend
• CI/CD
• Cloud
• Django
• Docker
• FastAPI
• Flask
• Support
• Kubernetes
• Machine Learning
• MLOps
• Model Serving
• Python
• SQL
• microservices
• Git
• PyTorch

More:

We are a leading global organisation with a growing AI and Data Science function, developing innovative AI, Machine Learning and Natural Language Processing solutions that power intelligent products used by customers around the world. This is a permanent Senior AI Engineer opportunity based in London on a hybrid basis, with one day per week in the office. We offer a salary of £65,000 - £75,000, an excellent benefits package, a modern cloud-native technology stack, and the opportunity to work in a collaborative engineering culture with career progression and technical leadership opportunities.

last updated 36 week of 2026