Machine Learning Engineer

Norton Blake; Remote; GBP 80,000 - 120,000; Full time

Job summary

A leading AI solutions company is seeking a Machine Learning / AI Engineer to join their team remotely in the UK. The successful candidate will be responsible for building and integrating ML models into applications, writing production-ready Python code, and developing reliable systems around generative AI. Candidates should have experience in deploying AI/ML applications in cloud environments and strong communication skills to collaborate with various teams. The position offers a competitive salary range of £80,000 - £120,000 per annum.

Qualifications

• Experience in deploying AI/ML applications into production.
• Strong technical foundation in engineering best practices.
• Ability to collaborate across various teams.

Responsibilities

• Build and integrate ML models into applications.
• Write production-ready code supporting model inference.
• Identify ways to improve existing systems.

Skills

Deployment of AI/ML applications in production environments

Writing production-ready Python code

System design best practices

Generative AI

Strong communication skills

Desire to learn new technologies

Tools

Azure

FastAPI

gRPC

Job description

Machine Learning / AI Engineer, Fully Remote, £80,000 - £120,000 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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