Lead ML/Data Apps Engineer — End-to-End AI Pipelines

Arm; Cambridge; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading technology company in Cambridge is seeking a confident developer to create automation workflows and applications integrating data with ML models. Responsibilities include designing user-friendly interfaces and building APIs. Ideal candidates should have a strong software engineering background with proficiency in Python and Databricks, as well as problem-solving and collaboration skills. This role offers competitive pay and a supportive work culture.

Benefits

Competitive pay

Supportive work culture

Inclusion and accommodations provided

Qualifications

• Strong software engineering background with experience across front-end and back-end.
• Hands-on experience with Databricks (Spark, Delta Lake, ML workflows).
• Ability to work independently and own delivery from design to deployment.

Responsibilities

• Design and develop applications that integrate data pipelines, ML models, and user-friendly interfaces.
• Build APIs and automation workflows using Databricks and related tools.
• Partner with cross-functional teams to define requirements and deliver impactful solutions.

Skills

Problem-solving skills

Collaboration

Agile methodologies

Tools

Python

JavaScript/TypeScript

Databricks

Process Mining tools

Job description

A leading technology company in Cambridge is seeking a confident developer to create automation workflows and applications integrating data with ML models. Responsibilities include designing user-friendly interfaces and building APIs. Ideal candidates should have a strong software engineering background with proficiency in Python and Databricks, as well as problem-solving and collaboration skills. This role offers competitive pay and a supportive work culture.