AI Engineer (Python)

Norton Blake; United Kingdom; Remote; GBP 90,000 - 110,000; Full time

Job summary

A leading AI solutions company is seeking an AI Engineer to work fully remote, offering a salary of around £100,000 per annum. The role involves building and integrating ML models into applications, writing production-ready code, and improving existing systems. Candidates should have strong Python engineering skills and experience deploying AI/ML applications in cloud environments.

Qualifications

• Experience deploying AI/ML applications into production environments, specifically in Cloud environments.
• Strong technical foundation in writing production-ready Python code.
• Understanding system design best practices for maintainable applications.

Responsibilities

• Build and integrate ML models into existing and new applications.
• Write production-ready code, supporting model inference and logging.
• Identify ways of improving how existing systems work.

Skills

Python engineering

AI/ML application deployment

Communication skills

Generative AI

Cloud environments

Tools

Azure

FastAPI

gRPC

Job description

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AI Engineer (Python), Fully Remote, Circa £100,000 per annum

My client, a leading AI solutions company are currently looking to strengthen their team and bring on an AI Engineer on a permanent basis. the successful candidate will have strong experience with Python engineering as well as azure and AI.

The role:
Build and integrate ML models into existing and new applications. Write production-ready code, supporting model inference and logging. Build and evaluate AI workflows and agents for automating various tasks. Containerise applications and prepare them for deployment. Identifying ways of improving how existing systems work. Understanding client requirements across various domains and converting them into products and features.

What we are looking for:

• Experience in deploying AI/ML applications into production environments, specifically in Cloud environments.
• Experience in writing production-ready Python code, with a strong technical foundation grounded in engineering best practices.
• Understanding of system design best practices (e.g. ports and adapters), specifically understanding how to develop maintainable and future-proof applications.
• Familiarly working with generative AI, with an understanding of how to build reliable systems around the technology.
• Strong communications skills, with an ability to collaborate with various teams across product, sales, data science and software engineering.
• Strong desire to learn new technologies and methodologies, and apply them to tackle complex problems across various domains.

Nice to haves:

• Experience working with Azure.
• Experience developing high-performance APIs with frameworks like FastAPI and gRPC.