Machine Learning Engineer

Norton Blake; Remote; GBP 100,000; Full time

Job summary

A leading AI solutions company is seeking an experienced ML / AI Engineer to join their fully remote team. The ideal candidate will possess strong expertise in generative AI and ML models with proficiency in Python. You will build and integrate ML models, write production-ready code, and develop AI workflows to automate tasks. Candidates should have experience in deploying applications in cloud environments like Azure and demonstrate strong communication skills to collaborate across teams.

Qualifications

• Strong experience with GenAI and ML Models.
• Experience in deploying AI/ML applications into production environments.
• Familiarity with generative AI technology.

Responsibilities

• Build and integrate ML models into existing and new applications.
• Write production-ready code to support model inference and logging.
• Build and evaluate AI workflows and agents to automate tasks.

Skills

Deployment of AI/ML applications

Production-ready Python coding

System design best practices

Generative AI understanding

Strong communication skills

Desire to learn new technologies

Tools

Azure

FastAPI

gRPC

Job description

ML / AI Engineer (Python / Azure), Fully Remote, £100,000 per annum

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

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.

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