Remote AI Engineer: GenAI & Production ML

Version 1; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Profit sharing

Career development

Flexible/remote working

Pension

Private healthcare

Life assurance

Wellbeing programs

Education support AWS/Microsoft/Oracle

Excellence awards

Job summary

Version 1 is seeking a hands-on AI/ML Engineer to build, deploy, and optimize production-grade machine learning and Generative AI solutions across multiple UK locations including Belfast, Birmingham, Edinburgh, London, Manchester, and Newcastle. You will develop AI-powered applications, integrate models into business systems, and support the full AI lifecycle.

The role emphasizes modern AI tech, software best practices, and scalable, reliable AI solutions.

Qualifications

• 3+ years in ML engineering or data science with production deployments.
• Experience delivering GenAI solutions including RAG, LLM integration or agentic workflows.

Responsibilities

• Design, build, and maintain AI-powered applications and services.
• Develop and deploy Machine Learning and Generative AI solutions.
• Build Retrieval-Augmented Generation (RAG) systems and AI agents.
• Integrate foundation models and APIs into enterprise applications.
• Create reusable AI components and frameworks.
• Train, fine-tune, evaluate, and deploy ML models.
• Develop feature engineering and model evaluation pipelines.
• Implement model monitoring and performance tracking.
• Optimize model inference performance and cost efficiency.
• Develop LLM-based applications and workflows.
• Build prompt templates, agent frameworks, and orchestration pipelines.
• Implement vector search and knowledge retrieval systems.
• Design evaluation frameworks for AI quality, safety, and reliability.
• Improve hallucination mitigation and response accuracy.
• Design and automate ML model training, validation, and retraining pipelines.
• Version and manage datasets, features, and model artefacts using tools such as MLflow or similar.
• Deploy and serve ML models via REST APIs or batch inference at scale on Databricks, Snowflake or similar.
• Monitor model performance in production, detecting drift and degradation.
• Manage feature stores and ensure data pipeline reliability for ML workloads.
• Implement experiment tracking and reproducibility across the model lifecycle.
• Work closely with Solution Architects, Product Managers, and Engineering Teams.
• Participate in code reviews and technical design discussions.
• Support testing, deployment, and ongoing optimisation activities.

Skills

Python

SQL

Scikit-learn

PyTorch or TensorFlow

Cloud AI services

Supervised & Unsupervised learning

Statistical concepts

Tools

Docker

CI/CD

AWS

LangChain

Semantic Kernel

LangGraph

Vector search

Databricks

Snowflake

Job description

Version 1 is seeking a hands-on AI/ML Engineer to build, deploy, and optimize production-grade machine learning and Generative AI solutions across multiple UK locations including Belfast, Birmingham, Edinburgh, London, Manchester, and Newcastle. You will develop AI-powered applications, integrate models into business systems, and support the full AI lifecycle.

The role emphasizes modern AI tech, software best practices, and scalable, reliable AI solutions.