Machine Learning Engineer

Salary: £75,000 - £80,000 per annum
Location: London - Hybrid - 2 days per week

We are looking for a Machine Learning Engineer to join an ambitious, collaborative technology team within a well-established, knowledge-led organisation. This is a chance to help shape production AI capability in a business that is investing in modern data products and intelligent digital experiences.

Reporting to a senior technology leader, you will work closely with data, product and engineering colleagues to take machine-learning solutions from concept through to reliable, scalable deployment. As a Machine Learning Engineer, you will have real ownership in a greenfield environment, improving how models are built, governed, monitored and used across the organisation.

The Opportunity

This is more than a model-building role. You will create the engineering foundations that allow AI solutions to deliver lasting value in production.

• Design and develop robust MLOps practices, platforms and standards.

• Build and deploy AI/ML solutions with a focus on natural-language applications, personalisation and semantic/graph-based data.

• Improve the end-to-end model lifecycle, including version control, deployment, monitoring, security and auditability.

• Monitor live models and optimise performance, reliability and cost.

• Partner with engineers, data specialists and non-technical stakeholders to solve meaningful business problems.

• Act as a technical escalation point for deployed ML solutions.

• Share knowledge and mentor colleagues, developing their engineering capability.

• Keep abreast of developments across AI, cloud and MLOps, bringing practical improvements into the team.

What's in it for you?

• £75,000 - £80,000 salary.

• Hybrid working and home-working support.

• 25 days' annual leave plus bank holidays and additional personal days.

• Pension and employee loan schemes.

• Funding and support for training, professional qualifications and continued learning.

• A supportive, inclusive culture with genuine scope to influence the organisation's AI direction.

Skills and Experience

• Proven experience building and deploying production machine-learning solutions.

• Strong practical knowledge of MLOps, including model deployment, monitoring, governance and CI/CD.

• Experience with Microsoft Azure and cloud-based data services.

• Strong Python skills; experience with another language such as R, Java or C# is also welcome.

• Sound understanding of data engineering, ETL pipelines and data security.

• Excellent problem-solving and communication skills, with the ability to work across technical and non-technical teams.

• Experience with NLP, recommender systems, knowledge graphs or semantic technologies.

• Familiarity with Azure DevOps or comparable CI/CD tooling.

• Experience with Azure Data Lake, Azure SQL Database or similar cloud storage platforms.

• Previous mentoring or coaching experience.

• A degree in Computer Science, Data Science, Engineering or a related discipline, or equivalent commercial experience.

If you would like to be considered for the role and feel you would be an ideal fit with our team, please send your CV to us by clicking on the Apply button below.