Senior Machine Learning Engineer, Qflow
Permanent Full-Time
More information about location
Qflow is a B2B SaaS scale-up transforming the construction industry
Posted today
Qflow is a B2B SaaS scale-up transforming the construction industry
21-100 employees
Posted today
More information about location
21-100 employees
Company mission
To provide the data that empowers the world to build responsibly.
Role
Who you are
- We’re looking for someone comfortable turning data into real impact, someone who brings together data science and the craft of software engineering to build reliable, scalable systems that make a difference. You might have started in one and grown into the other; what matters most is your ability to turn models and ideas into robust, production-grade features that deliver measurable results
- 5+ years of experience in either a data-science or ML focused role or software engineering-focused environment, ideally with overlap
- Advanced proficiency in Python and experience with some key ML frameworks (scikit-learn, PyTorch, TensorFlow)
- Experience taking ML models and/or backend 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
What the job involves
- We’re looking for a Data Scientist & ML Engineer to join our Data Experience Team. This team is at the intersection of data science prototyping and production-grade backend systems, which designs, develops, and deploys scalable, data-driven solutions powering Qflow’s platform
- Reporting to our Senior Engineering Manager, and working closely with our Tech Lead, you’ll you’ll balance innovation and delivery, researching and shaping early ML and AI 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 AI/ML solutions that deliver real business impact
- 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 model approaches
- Build, train, and deploy predictive models and algorithms for use cases such as forecasting, optimisation, segmentation, and classification
- Turn models into services, integrating them into APIs, pipelines, and Qflow’s wider system architecture
- Maintain high standards in code quality, testing, documentation, and reproducibility
- 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
Our take
Typically, businesses in the construction industry have endured tensions around sustainability efforts and net zero projects. Qflow, aka Qualis Flow, aims to remedy this, by helping one of the world’s most pollutive industries become greener through data-driven insights that reduce carbon emissions and cut waste.
Combining a team of construction professionals and software engineers, the data analysis services of Qflow benefit both contractors and developers, focussing on ways to make the supply chain more sustainable and environmental audits more bearable and simpler to understand.
After oversubscribed Series A and VC rounds in 2023, Qflow has been expanding its team, growing operations in the UK and breaking new markets in Australia and the US. The company is exceeding expectations, especially factoring in the decline of building projects due to funding and labour shortages. Perhaps Qflow’s solution can even be part of the industry’s reignition.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2025
$2.3m
SERIES A
May 2023
$9.1m
SERIES A
Total funding: $14.7m
Company benefits
- 🏡 Remote-first team (we enjoy meeting up from time to time in our London HQ and we would love to see you there too!)
- 💻 Company laptop and tools
- 🏝️ 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 offer up to 90 days of overseas working
- 🌎 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 values
- Compassionate Candour
- Enduring Ethics
- Act like an Owner
- Curiosity with Action
- Stronger Together
Company HQ
London, UK
Articles
Leadership
Jade Cohen
(Co-Founder & CPO)Currently part of the Start-up Advisory Group for the UK Green Building Council (UKGBC). Previously a member of Cohort 3 at BOOST, EFLD10 Member with Entrepreneur First and Environmental Advisor at Skanska.
Brittany Harris
(Co-Founder & CEO)Member of the Board of Directors for the Environment Agency. Previously Steering Committee Member of the National Infrastructure Commission and Board Member of Cambridge Wireless Limited. Was a member of Cohort 3 of BOOST.
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