Generative AI & ML Engineer for Production Apps

Version 1; Birmingham; Remote; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Quarterly Profit Share Scheme

Strong Career Progression & Leadership

Flexible/remote working

Private Healthcare Cover

Life Assurance

Educational assistance and accredit

Job summary

Version 1 is seeking a hands-on AI/ML Engineer to design, develop, deploy, and optimize production-grade AI applications. You will build RAG systems, integrate foundation models, and implement scalable AI solutions with a strong emphasis on reliability and cost efficiency.

You will collaborate with Solution Architects, PMs, and engineering teams, contributing to pipelines, MLOps, and deployment on modern cloud platforms. Flexible/remote working is offered.

Qualifications

• Proficient in Python and SQL.
• Experience with Scikit-learn, PyTorch and/or TensorFlow.
• Experience with Hugging Face and cloud AI services.
• Experience with supervised and unsupervised learning, model evaluation, feature engineering, and statistical concepts.

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 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

TensorFlow

Hugging Face

LangChain

LlamaIndex

Semantic Kernel

LangGraph

Tools

MLflow

AWS

Docker

Kubernetes

Job description

Version 1 is seeking a hands-on AI/ML Engineer to design, develop, deploy, and optimize production-grade AI applications. You will build RAG systems, integrate foundation models, and implement scalable AI solutions with a strong emphasis on reliability and cost efficiency.

You will collaborate with Solution Architects, PMs, and engineering teams, contributing to pipelines, MLOps, and deployment on modern cloud platforms. Flexible/remote working is offered.