Production ML Engineer – Hybrid/Remote, Scalable Models

Harnham - Data & Analytics Recruitment; City Of London; Hybrid; GBP 96,000 - 126,000; Full time

Job summary

Harnham - Data & Analytics Recruitment is seeking an experienced Machine Learning Engineer to join a growing data team in London. You will design, build, and deploy ML models, develop scalable data pipelines, and work with stakeholders to drive business outcomes.

The role offers a 3‑month contract, hybrid/remote work, and a rate of £600 per day outside IR35. You will collaborate with Data Scientists, Engineers, and Product teams, deploying models to production and ensuring performance.

Qualifications

• Strong Python and SQL skills required.
• Experience building and deploying ML models in production.
• Hands-on knowledge of ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Data engineering and pipeline development experience.
• Cloud experience (AWS, Azure, or GCP).

Responsibilities

• Design, build, and deploy machine learning models.
• Develop scalable data and feature engineering pipelines.
• Optimise model performance and production readiness.
• Work with large datasets to solve complex business challenges.
• Collaborate with Data Scientists, Engineers, and Product teams.
• Support model testing, validation, and deployment.

Skills

Python

SQL

ML frameworks

Data pipelines

Cloud platforms

Agile

Production ML

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

Harnham - Data & Analytics Recruitment is seeking an experienced Machine Learning Engineer to join a growing data team in London. You will design, build, and deploy ML models, develop scalable data pipelines, and work with stakeholders to drive business outcomes.

The role offers a 3‑month contract, hybrid/remote work, and a rate of £600 per day outside IR35. You will collaborate with Data Scientists, Engineers, and Product teams, deploying models to production and ensuring performance.