Generative AI Engineer

Skillfinder International; Greater London; Remote; GBP 60,000 - 80,000; Full time

Job summary

A technology delivery firm is seeking a Generative AI Engineer for a fully remote role in the UK. The position focuses on designing and deploying cutting-edge AI models, optimizing code, and integrating large language models into production. Ideal candidates will possess strong AI/ML coding skills and cloud deployment experience, particularly in Azure. This role offers an exciting opportunity to drive innovation in a supportive environment.

Qualifications

• Strong coding ability in AI/ML with a focus on generative AI.
• Experience deploying models in cloud environments, especially Azure.
• Solid understanding of containerisation and development tools.

Responsibilities

• Design and develop generative AI solutions across varied projects.
• Optimize code for performance in production environments.
• Integrate large language models into scalable production systems.
• Champion best practices in version control, Docker, and CI/CD.

Skills

Coding ability in AI/ML

Cloud deployment experience

Understanding of containerisation

Communication skills

Tools

TensorFlow

PyTorch

Azure

Docker

Git

Job description

Generative AI Engineer - Build & Deploy Real-World AI Models (UK Remote Contract)

Are you passionate about generative AI and looking for your next challenge? We're hiring a Generative AI Engineer to join a dynamic tech delivery team working on impactful, enterprise-grade AI initiatives - all fully remote within the UK.

In this role, you'll collaborate with senior AI professionals to develop, implement, and scale generative AI models that solve real business problems. This is a fantastic opportunity for someone with solid technical foundations who wants to push the boundaries of AI in production environments.

What you’ll be doing:

• Supporting the design and development of generative AI solutions across varied projects
• Writing and optimising code using tools like TensorFlow, PyTorch, and deploying via Databricks, Snowflake, and the Azure platform
• Integrating large language models (LLMs) into scalable production environments
• Championing best practices in version control (Git), Docker, and CI/CD
• Ensuring compliance with robust data governance, privacy, and ethical AI frameworks

Essential skills:

• Strong coding ability in AI/ML with a focus on generative AI and prompt engineering
• Experience deploying models in cloud environments, especially Azure
• Solid understanding of containerisation and development tools
• Excellent communication and collaboration skills in cross‑functional settings

Nice‑to‑haves:

• Certifications in AI/ML, data engineering, or cloud technologies
• Experience with enterprise data privacy and security frameworks

This is an exciting role for someone who wants to build cutting‑edge AI solutions in a supportive, forward‑thinking environment.