Senior AI Engineer: Gen AI, MLOps & Production (Remote)

Version 1; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Profit share

Career progression

Flexible/remote work

Pension

Private healthcare

Life assurance

Gym discounts

Educational assistance (AWS, MS, etc.)

Excellence awards program

Job summary

Version 1 is seeking a hands-on AI/ML Engineer to build, deploy, and optimize production-grade AI and Generative AI solutions. You will develop AI applications, integrate models into business systems, and support the full AI lifecycle.

The role emphasizes modern AI tech, software engineering best practices, and reliable AI delivery at scale, collaborating with Solution Architects, Product Managers, and Engineering Teams. Flexible/remote work is available.

Qualifications

• 3+ years in ML engineering or data science with production deployments.
• Experience delivering AI solutions including Gen AI applications and RAG systems.
• Experience deploying models to production and building AI workflows.

Responsibilities

• Design, build, and maintain AI-powered applications and services.
• Train, fine‑tune, evaluate, and deploy ML models.
• Develop feature engineering and model evaluation pipelines.
• Implement model monitoring and performance tracking and optimize inference.
• Develop LLM-based applications, agents, and orchestration pipelines.
• Collaborate with architects, PMs, and engineering teams and participate in code reviews.

Skills

Python

SQL

Scikit-learn

PyTorch

TensorFlow

Hugging Face

Model evaluation

Feature engineering

Statistical concepts

Tools

AWS

Databricks

Snowflake

MLflow

Docker

Kubernetes

REST APIs

Job description

Version 1 is seeking a hands-on AI/ML Engineer to build, deploy, and optimize production-grade AI and Generative AI solutions. You will develop AI applications, integrate models into business systems, and support the full AI lifecycle.

The role emphasizes modern AI tech, software engineering best practices, and reliable AI delivery at scale, collaborating with Solution Architects, Product Managers, and Engineering Teams. Flexible/remote work is available.