Production ML Engineer: MLOps & NLP (Hybrid)

Data Idols; Greater London; Hybrid; GBP 75,000 - 80,000; Full time

Benefits offered by this job

Hybrid working

Pension & loans

Training funding

Leave + holidays

Personal days

Job summary

Data Idols in London is seeking a Machine Learning Engineer to shape production AI capability within a knowledge-led organisation. You will join an ambitious, collaborative team and drive ML from concept to reliable deployment in a greenfield environment.

Reporting to a senior technology leader, you will work with data, product and engineering colleagues to deliver scalable AI solutions. Hybrid work available with 2 days on-site.

Qualifications

• 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.

Responsibilities

• 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.

Skills

MLOps

Python

Azure

Data engineering

Problem solving

Communication

NLP/knowledge graphs

CI/CD

Azure Data Lake/SQL

Mentoring

Education

Degree in Computer Science, Data Science, Engineering or related discipline

Tools

Azure DevOps

Job description

Data Idols in London is seeking a Machine Learning Engineer to shape production AI capability within a knowledge-led organisation. You will join an ambitious, collaborative team and drive ML from concept to reliable deployment in a greenfield environment.

Reporting to a senior technology leader, you will work with data, product and engineering colleagues to deliver scalable AI solutions. Hybrid work available with 2 days on-site.