AI/ML Engineer (Contract)

Harnham; Greater London; Hybrid; GBP 74,000 - 92,000; Part time

Job summary

Harnham is seeking an AI/ML Engineer on a contract basis in London for a 6-month engagement. The role involves designing, developing and deploying machine learning models into production environments with a focus on audience segmentation, content recommendation, and engagement optimization.

You will build scalable data and ML pipelines, collaborate with data scientists, data engineers, and product teams, and implement MLOps practices including monitoring and deployment automation.

Qualifications

• Production ML experience delivering models to production.
• Strong Python and ML framework skills.
• Cloud experience with AWS/Azure/GCP.
• Understanding of MLOps lifecycle and CI/CD.

Responsibilities

• Design, develop, and deploy ML models in production.
• Build AI solutions for audience segmentation and recommendations.
• Develop scalable ML pipelines for high-volume media data.
• Collaborate with data scientists, engineers, product teams and stakeholders.
• Apply MLOps best practices including monitoring and deployment automation.
• Explore generative AI and LLM opportunities for business value.

Skills

Production ML systems

Python programming

ML frameworks

Cloud platforms

MLOps / CI-CD

Large datasets handling

Stakeholder collaboration

Media/digital content domain

Tools

TensorFlow/PyTorch/Scikit-learn

Job description

AI/ML Engineer (Contract)

London
2 Days in Office
Outside IR35
£400 - £500 Per Day
6 months long

The Company

They are a well-established media business with a strong digital presence and a growing focus on data and AI innovation. Their teams leverage advanced analytics and machine learning to better understand audiences, improve content performance, and support commercial growth. As part of their expanding AI function, you will help deliver solutions that create measurable impact across the organisation.

The Role and Deliverables

• Design, develop, and deploy machine learning models into production environments.
• Build AI solutions that support audience segmentation, content recommendation, and engagement optimisation.
• Develop scalable data and machine learning pipelines to support high-volume media datasets.
• Collaborate with data scientists, data engineers, product teams, and business stakeholders to deliver AI-driven products.
• Implement MLOps best practices, including model monitoring, testing, and deployment automation.
• Evaluate and apply emerging AI technologies, including generative AI and large language models, where they can provide business value.

Your Skills & Experience

• Strong experience building and deploying machine learning solutions in production environments.
• Advanced Python skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working with cloud technologies such as AWS, Azure, or GCP.
• Strong understanding of MLOps, CI/CD, and machine learning lifecycle management.
• Experience working with large-scale customer, audience, content, advertising, or behavioural datasets.
• Strong stakeholder engagement skills and the ability to translate business requirements into technical solutions.
• Previous experience within the media, publishing, broadcasting, streaming, or digital content sectors is essential.