ML & Data Engineer: Build Scalable AI Systems

Opus Recruitment Solutions; United Kingdom; On-site; GBP 80,000 - 110,000; Full time

Job summary

Opus Recruitment Solutions is partnering with a well-funded tech company to hire an experienced ML/Data Engineer. You will build, evaluate and deploy ML models at scale, working with a team of engineers and researchers to create intelligent systems that balance performance and reliability.

The role emphasizes production-grade AI solutions, evaluation frameworks, and seamless integration of external AI APIs within scalable ML systems.

Qualifications

• Commercial experience building and deploying ML models.
• Experience working with LLMs, GenAI, or multimodal AI systems.
• Production experience integrating external AI APIs.
• Understanding of model evaluation, experimentation and optimisation.
• Experience with Docker, CI/CD and software engineering best practices.

Responsibilities

• Developing and improving machine learning and deep learning models.
• Building evaluation frameworks to measure model performance.
• Fine-tuning and deploying open-source AI models.
• Developing production-grade AI solutions using frontier-model APIs.
• Designing data-driven feedback loops to continuously improve system performance.
• Collaborating with software engineers to deploy scalable ML systems.

Skills

ML model deployment

LLMs / GenAI

Production API integration

Model evaluation

Docker & CI/CD

Tools

Docker

CI/CD

Job description

Opus Recruitment Solutions is partnering with a well-funded tech company to hire an experienced ML/Data Engineer. You will build, evaluate and deploy ML models at scale, working with a team of engineers and researchers to create intelligent systems that balance performance and reliability.

The role emphasizes production-grade AI solutions, evaluation frameworks, and seamless integration of external AI APIs within scalable ML systems.