ML Engineer

Harnham - Data & Analytics Recruitment; City Of London; On-site; GBP 66,000 - 111,000; Full time

Job summary

Harnham - Data & Analytics Recruitment in London is seeking a Machine Learning Engineer to design, build and deploy ML models into production within a modern cloud environment.

You will develop scalable pipelines, collaborate with data teams, and optimise model performance for retail use cases, delivering measurable business impact through robust MLOps practices.

Qualifications

• Experience deploying ML models to production environments.
• Strong Python skills with ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Experience building CI/CD pipelines and MLOps practices.

Responsibilities

• Design, build, and deploy ML models into production.
• Develop scalable ML pipelines for training, testing, and monitoring.
• Collaborate with Data Scientists and Data Engineers to operationalise ML solutions.
• Optimize model performance, reliability, and scalability across use cases.
• Contribute to ML infrastructure and MLOps processes.

Skills

Production ML

Python

ML frameworks

CI/CD

Cloud platforms

Docker

Kubernetes

SQL

Stakeholder comms

Job description

Machine Learning Engineer

London Outside IR35
£500-£600 per day

The Company

They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through technology. You will join a collaborative team working on impactful machine learning projects within a modern cloud environment.

The Role and Deliverables

• Design, build, and deploy machine learning models into production environments.
• Develop scalable ML pipelines to support model training, testing, and monitoring.
• Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions.
• Optimise model performance, reliability, and scalability across retail use cases.
• Support the development of MLOps processes and machine learning infrastructure.
• Deliver production-ready solutions that provide measurable business impact.

Your Skills & Experience

• Strong experience deploying machine learning models into production.
• Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience building and maintaining MLOps pipelines and CI/CD workflows.
• Strong knowledge of AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong SQL skills and experience working with large datasets.
• Ability to communicate effectively with both technical and non-technical stakeholders.