AI Engineer: Gen AI, RAG & MLOps (Remote)

Version 1; City of Edinburgh; Remote; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Profit share scheme

Flexible/remote working

Private healthcare

Job summary

Version 1 is hiring a hands-on AI/ML Engineer to build, deploy, and optimize machine learning and Generative AI solutions. The role focuses on production-grade AI apps, model integration, and supporting the full AI lifecycle.

The candidate should be passionate about modern AI, software engineering best practices, and scalable solutions. You will design, implement, and monitor ML and Gen AI workflows, collaborate with Solution Architects and Product Managers, and contribute to robust, repeatable

Qualifications

• Strong proficiency in Python and SQL.
• Experience with Scikit-learn, PyTorch or TensorFlow, and Hugging Face.
• Familiarity with cloud AI services (AWS, Azure, Google).
• Experience deploying ML models to production and building Gen AI apps.

Responsibilities

• Design, build, and maintain AI-powered applications and services.
• Develop ML and Generative AI solutions and RAG systems.
• Integrate foundation models and APIs into enterprise apps.
• Build AI components and frameworks, ensure reliability and scalability.
• Collaborate with architects, PMs, and engineering teams.

Skills

Python

SQL

Scikit-learn

PyTorch

TensorFlow

Hugging Face

AWS

Docker

Kubernetes

CI/CD

LLM integration

RAG systems

Vector search

Education

Bachelor's degree in CS/Math/related

Master's degree preferred

Tools

MLflow

Databricks

Docker

Kubernetes

Snowflake

LangChain

LlamaIndex

Job description

Version 1 is hiring a hands-on AI/ML Engineer to build, deploy, and optimize machine learning and Generative AI solutions. The role focuses on production-grade AI apps, model integration, and supporting the full AI lifecycle.

The candidate should be passionate about modern AI, software engineering best practices, and scalable solutions. You will design, implement, and monitor ML and Gen AI workflows, collaborate with Solution Architects and Product Managers, and contribute to robust, repeatable