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
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Senior AI Engineer - London employer: Infused Solutions Ltd
Join a pioneering technology company in London that is at the forefront of AI innovation, offering a dynamic hybrid work environment and a competitive salary package. With a strong emphasis on employee growth, you will have the opportunity to lead cutting-edge projects while collaborating with a high-calibre engineering team. Enjoy excellent benefits, including equity options and generous annual leave, all while contributing to products that are shaping the future of AI.
