[Hiring] Senior Machine Learning Engineer @Qualis Flow Limited

Role Description

We’re looking for a Software Engineer to join our Data Experience Team. This team prototypes, designs, develops, and deploys scalable, data-driven solutions powering Qflow’s platform.

Reporting to our Engineering Manager, and working closely with our Tech Lead, you’ll balance innovation and delivery, researching and shaping early prototypes into robust, production-ready features that take our product to the next level. Here’s what you’ll do day to day:

• Research, prototype, and productionise solutions that deliver real business impact.
• Maintain high standards in code quality, testing, documentation, and reproducibility.
• Collaborate with Product and other engineers to identify opportunities and translate them into robust, data-driven solutions.
• Perform exploratory data analysis (EDA) to identify patterns, validate assumptions, and define approaches on what to build.
• Create new data-related services, integrating them into APIs, pipelines, and Qflow’s wider system architecture.
• Contribute to data governance practices, including versioning, lineage, and validation.
• Share knowledge, mentor peers, and help embed a culture of data-driven thinking and continuous improvement across the team.

Qualifications

• 5+ years of experience in a software engineering-focused environment, ideally with production experience of agentic AI.
• Advanced proficiency in Python.
• A solid understanding of data science principles is a plus.
• Experience taking systems from development through to production deployment.
• Solid SQL skills and familiarity with NoSQL data stores.
• Working knowledge of cloud architectures, distributed systems, and APIs (Azure preferred, but AWS or GCP are valuable).
• Familiarity with LLMs, prompt engineering, NLP, or image processing, and an ability to quickly learn new AI technologies (e.g., RAG pipelines).
• Exposure to CI/CD, infrastructure-as-code tools like Terraform, and containerisation with Docker or similar.
• Excellent communication skills, able to explain complex concepts to technical and non-technical audiences.
• Collaborative mindset, comfortable mentoring others and improving team capability.
• Comfort with ambiguity, prioritisation, and delivering incrementally in a startup environment.

Benefits

• Basic salary of up to £85,000 (depending on experience).
• Remote-first team.
• Bi-weekly engineering team gatherings and wide-company gatherings once a quarter in our London HQ.
• Work travel expenses covered by Qflow.
• 25 days annual leave + 3 days company closure at Christmas + bank holidays.
• Paid sick leave.
• Private medical insurance.
• Critical illness and life insurance.
• Pension contribution up to 7%.
• Enhanced family policy.
• Paid volunteering days.
• We allow our employees to work abroad for up to 90 days.
• We’ll offset your annual carbon footprint on your behalf via Ecologi.
• Learning & development and career progression opportunities.
• Company social events (online and in person!).
• Company laptop and tools.

Company Description

At Qflow we’re on a mission to transform one of the world’s most impactful industries: Construction. We’re providing easily captured, data-driven insights, empowering the industry to make better decisions – ultimately delivering increased quality, efficiencies, cost savings, and cost and risk avoidance.

The impact? Less waste. Lower carbon. Smarter decisions. A construction industry that uses only what it needs — building a future that works for people and the planet.

We’re backed by leading climate-tech and construction-tech investors, including Systemiq Capital, Greensoil PropTech Ventures, and Suffolk Technologies, and have raised £11.2M in Series A funding to accelerate our international growth.