AI Engineer
Infusedsolutions
UK
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£60,000.0 - £70,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+15 more
Standard Sql
SQL Databases
Pytorch
Large Language Models
Backend
Git
Fastapi
Containerization
Kubernetes
Apache Kafka
Restful APIs
Terraform
Service Stack
Databricks
Microservices
Job 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
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 (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
Benefits & conditions
- Fully remote working within the UK
- Opportunity to work on cutting-edge AI and machine learning systems
- Collaborative engineering environment
- Exposure to modern cloud and AI technologies
- Strong career growth opportunities within a growing AI function
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