Senior Machine Learning Engineer

🔒 Confidential Employer
Posted 3 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£85,000 / year
CATEGORY
Software Engineering
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL Azure Terraform LLMs CI/CD Docker NLP

FULL DESCRIPTION

Senior Machine Learning Engineer

Company: [Employer hidden — view at passion-project.co.uk] (Qflow) | Location: UK, Remote First | Type: Permanent, Full-time | Salary: up to £85,000

About the Company

At Qflow we're on a mission to transform one of the world's most impactful industries, Construction. We provide easily captured, data-driven insights, empowering the industry to make better decisions. Built a cutting-edge platform using AI, machine learning, and smart integrations. Backed by leading climate-tech and construction-tech investors.

Role Overview

We're looking for a Software Engineer to join our Data Experience Team. Report to Engineering Manager, work with Tech Lead. Balance innovation and delivery, shape prototypes into robust features.

  • Research, prototype, and productionise solutions.
  • Maintain code quality, testing, documentation.
  • Collaborate with Product and engineers.
  • Perform exploratory data analysis.
  • Create new data-related services, integrate into APIs and pipelines.
  • Contribute to data governance.
  • Share knowledge and mentor peers.

Your Skills

  • 5+ years software engineering experience, ideally with agentic AI.
  • Advanced Python proficiency.
  • Solid SQL and NoSQL knowledge.
  • Cloud experience (Azure preferred, AWS/GCP).
  • Familiarity with LLMs, prompt engineering, NLP, image processing.
  • CI/CD, Terraform, Docker.
  • Excellent communication and collaboration.

Offer

  • Salary up to £85,000
  • Remote-first, bi-weekly gatherings, quarterly in London HQ
  • Company laptop and tools
  • 25 days annual leave + 3 days Christmas closure + bank holidays
  • Private medical insurance
  • Critical illness and life insurance
  • Pension contribution up to 7%
  • Enhanced family policy
  • Paid volunteering day
  • Overseas working policy
  • Carbon offset via Ecologi
  • Learning & development opportunities
  • Company social events

Application

To apply, click the link: Click here to apply!. No recruitment agencies.

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