Senior Data Engineer: ML Deployments for Impact

Harnham - Data and Analytics Recruitment; City Of London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

10% bonus

7% Pension

Job summary

Harnham - Data and Analytics Recruitment in London is hiring a Senior Data Engineer to join a high-growth applied data and machine learning team. You’ll work on varied, high-visibility projects where your work directly influences business performance and value creation.

You’ll deploy ML solutions across use cases such as pricing and fraud reduction, own full delivery from discovery to deployment, and collaborate with C-suite and senior stakeholders.

Qualifications

• Experience delivering data science or ML solutions in production environments.
• Experience deploying and scaling models with MLOps practices.
• Advanced Python and SQL in cloud environments (AWS/GCP/Azure).
• Familiarity with Databricks, version control, and containerisation.
• Strong business acumen and ability to articulate impact in business terms.
• Client-facing or stakeholder-heavy experience.

Responsibilities

• Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives.
• Partner with C-suite and senior stakeholders to define problems that drive measurable commercial value.
• Design, build and deploy machine learning solutions across pricing, sales optimisation and fraud reduction.
• Take ownership of projects end to end, from discovery and modelling through to deployment and scaling.
• Balance technical sophistication with practicality, selecting the right approach to maximise impact.
• Contribute to best practice across applied data science, engineering and delivery.

Skills

Data science in production

ML deployment

Python

SQL

Cloud platforms (AWS/GCP/Azure)

Databricks

Version control

Containerisation

Stakeholder communication

Tools

Databricks

Version control

Containerisation

Job description

Harnham - Data and Analytics Recruitment in London is hiring a Senior Data Engineer to join a high-growth applied data and machine learning team. You’ll work on varied, high-visibility projects where your work directly influences business performance and value creation.

You’ll deploy ML solutions across use cases such as pricing and fraud reduction, own full delivery from discovery to deployment, and collaborate with C-suite and senior stakeholders.