Edge ML Engineer (Mid–Principal) – Real-World Impact

Rowden Technologies Ltd.; West of England; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Rowden Technologies Ltd. is growing its ML team, hiring across mid, senior, lead and principal levels to build and deploy AI systems with real-world impact.

You will contribute from applied research to production, collaborating with software, hardware and systems groups to deliver usable AI on edge devices and embedded platforms, across LLMS, vision, and data pipelines. This role offers flexible hybrid working with a minimum of three days on-site at our Bristol HQ, SC clearance eligibility, and

Qualifications

• Experience building/training/evaluating ML systems for real-world use.
• Strong ML/DL foundation and ability to reason about trade-offs in production.
• Strong Python skills and software engineering habits (VCS, testing, reviews).
• Excellent communication to mentor and bridge technical and non-technical audiences.
• Degree or equivalent practical experience in ML/CS/engineering.
• Builder mindset with ownership over outcomes and comfort with ambiguity.

Responsibilities

• Own and ship ML in production, including edge/embedded deployments.
• Train, adapt, and evaluate models for real-world use cases.
• Scale workloads across GPUs and multi-node environments.
• Profile and optimise ML systems across code, data, and hardware.
• Design evaluation pipelines, benchmarks and feedback loops.
• End-to-end data handling: collection, feature engineering, deployment, monitoring.
• MLOps/LLMOps: CI/CD for models, containerisation, experiment tracking, guardrails.
• Collaborate with software, systems, and product teams.

Skills

Proven delivery

Domain expertise

ML & maths

Python

Interpersonal skills

Builder mindset

Education

Degree or equivalent in ML/CS/engineering

Tools

Databricks

Apache Spark

Delta Lake

MLflow

SQL

Docker

Kubernetes

Job description

Rowden Technologies Ltd. is growing its ML team, hiring across mid, senior, lead and principal levels to build and deploy AI systems with real-world impact.

You will contribute from applied research to production, collaborating with software, hardware and systems groups to deliver usable AI on edge devices and embedded platforms, across LLMS, vision, and data pipelines. This role offers flexible hybrid working with a minimum of three days on-site at our Bristol HQ, SC clearance eligibility, and