Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.
We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.
Location: London (Hybrid)
Reporting to: Head of AI
The role
We’re looking for a talented Machine Learning Engineer to join Rightmove’s growing Data, Analytics & AI team and help scale our ability to deliver innovative AI-powered solutions. You’ll design, deploy, and optimise AI and machine learning systems that are reliable, maintainable, and measurable.
You’ll design, deploy, and iterate on AI-powered features that are reliable, maintainable, and—most importantly—impactful. You will bridge the gap between Data Science experiments and production-grade products, ensuring that our AI solutions solve real-world problems for home hunters and partners.
A typical week as a Machine Learning Engineer might involve
- Working with data scientists to take models from initial development to production-grade features with scalability and user-experience in mind.
- Building "scrappy" internal tools or prototypes to validate AI concepts before scaling them into full production pipelines
- Designing and maintaining the ML pipelines (training, deployment, monitoring) that keep our product-facing models running smoothly.
- Translating model performance into business metrics (e.g., accuracy vs cost/latency trade-offs)
- Collaborating with product, design, and engineering teams to deliver AI and ML features that directly impact customer experience
- Automating feature engineering and data pipeline processes, ensuring reproducibility and auditability
- Implementing monitoring and observability to detect drift, bias, and performance degradation, and setting up rollback/recovery processes
- Using MLOps tools (e.g., Vertex Pipelines/Kubeflow, W&B) for experiment tracking, model registry, and automated deployment
- Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster)
We’re looking for someone who
- Has experience shipping and maintaining AI or ML systems in production, ideally including large scale batch inference pipelines and online inference microservices, with retraining and monitoring
- Understands the full ML lifecycle and can design for long-term resilience without losing sight of the immediate product goal.
- Has strong programming skills (Python, SQL) and experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn)
- Experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow)
- Is comfortable with CI/CD, Git, and containerisation/orchestration (Docker, Kubernetes)
- Has strong communication skills to explain trade-offs and influence both technical and non-technical colleagues
- Is proactive, detail-oriented, and motivated to learn emerging ML engineering tools
We would love someone to have any of the following
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject
- 3+ years of experience as an ML Engineer, Data Engineer, or similar
- Hands-on with model monitoring, observability, and retraining pipelines
- Exposure to feature stores, registries, and experimentation frameworks
- Familiarity with business-driven metrics and experience balancing ML performance with commercial goals
- Experience with LLM and Agentic AI frameworks (e.g. ADK, LangChain, AutoGen)
Our vision is to give everyone the belief that they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen.
We're home to the UK's largest choice of properties, and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market.
Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include:
- We create value…by delivering results and building trust with partners and consumers.
- We think bigger…by acting with curiosity and setting bold aspirations.
- We care deeply…by being real, having fun, and valuing diversity.
- We move together…by being one team - internally collaborative, externally competitive.
- We make a difference…by focusing on delivering measurable impact.
We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!
If all of this has caught your eye, you may well be a Rightmover in the making......
- Cash plan for dental, optical and physio treatments.
- Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.
- 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.
- Hybrid working pattern with 2 days in the office.
- Contributory stakeholder pension.
- Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.
- Competitive compensation package.
- Paid leave for maternity, paternity, adoption & fertility.
- Travel Loans, Bike to Work scheme, Rental Deposit Loan.
- Charitable contributions through Payroll Giving and donation matching.
- Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.
At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success., We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. By applying, you confirm that you are aged at least 18 or over and that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.
Top Skills
Rightmove London, England Office
33 Soho Square, London, United Kingdom, W1D 3QU
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