Machine learning engineer in property

Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we're not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions.

• Design, build, and deploy end-to-end machine learning pipelines — from data ingestion and feature engineering through to model serving and monitoring in production
• Own the full lifecycle of ML models: evaluate, iterate, and retire them with the same rigour you bring to building them
• Collaborate closely with product and engineering teams to frame business problems as machine learning problems, and translate model outputs into product features users actually understand
• Establish and maintain standards for ML reproducibility, experiment tracking, and model versioning across the Data team
• Identify opportunities to apply ML across Alto's product suite — surfacing ideas proactively, not waiting to be briefed
• Work with large, complex datasets drawn from live UK property transactions, ensuring data quality and feature reliability upstream of every model
• Contribute to a culture of engineering excellence through code reviews, documentation, and knowledge-sharing with data engineers and analysts

• Proven experience building and shipping machine learning models into production environments — not just notebooks and prototypes
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
• Solid understanding of MLOps principles: model serving, monitoring, drift detection, and retraining pipelines
• Experience working with cloud infrastructure — AWS preferred — and comfort deploying models in containerised or serverless environments
• A rigorous, statistically grounded approach to model evaluation — you know when a model is good enough and when it isn't
• The ability to communicate model behaviour and limitations clearly to non-technical stakeholders
• Familiarity with data pipeline tooling (e.g. Airflow, dbt, Spark) and an understanding of how ML fits within a broader data platform

• This role gives you genuine ownership of ML capability at a company that processes more housing transactions than anyone else in the UK — the data advantage is real and largely untapped.
• You will have the scope to define how machine learning is built and deployed at Alto, not slot into a pre-defined process.
• It's an exciting moment to join: we're investing seriously in our Data function, and this hire will shape its direction.
• 25 days annual leave + extra days for years of service
• Day off for volunteering & Digital detox day
• Festive Closure - business closed for period between Christmas and New Year
• Cycle to work and electric car schemes
• Free Calm App membership
• Enhanced Parental leave
• Fertility Treatment Financial Support
• Group Income Protection and private medical insurance
• Gym on-site in London
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary
• Talent referral bonus up to £5K