Associate Machine Learning Engineer

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. 

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We are looking for an Associate Machine Learning Engineer

Location: London                 

Reporting to: Head of AI

 

The Role

We’re looking for an Associate Machine Learning Engineer to join Rightmove’s growing Data, Analytics & AI team. This is an excellent opportunity for someone at an early stage in their career to contribute to the development of AI-powered solutions while building strong foundations in machine learning engineering and MLOps.

You’ll work closely with experienced engineers and data scientists to help bring machine learning models into production, supporting the development of reliable, scalable, and impactful AI features. This role would suit someone who is keen to learn, enjoys solving practical problems, and wants to develop their skills within a collaborative, product-focused environment.

 

What you’ll be doing

A typical week may involve:

• Supporting the transition of machine learning models from experimentation into production
• Assisting in the development and maintenance of ML pipelines (training, deployment, and monitoring)
• Contributing to internal tools or prototypes to help test and validate AI concepts
• Working with data scientists and engineers to improve model performance and reliability
• Supporting the monitoring of models in production, identifying issues such as performance degradation or data drift
• Writing clear, maintainable code to support data processing and model deployment
• Collaborating with product, engineering, and data teams to support delivery of AI features
• Learning and applying best practices in MLOps, including version control, testing, and reproducibility

 

 

We’re looking for someone who

• Has a solid understanding of core machine learning concepts and the ML lifecycle
• Has some experience with Python and SQL (through academic work, projects, or early commercial experience)
• Is familiar with at least one ML framework (e.g. PyTorch, TensorFlow, or Scikit-learn)
• Has some exposure to cloud platforms (e.g. GCP, AWS, or Azure), or a willingness to learn
• Is comfortable using Git and basic development workflows
• Is curious, proactive, and keen to develop new skills
• Communicates clearly and enjoys working as part of a team

 

Nice to have

• A degree in Computer Science, Engineering, Data Science, or a related STEM subject
• Internship, placement year, or project experience involving machine learning or data engineering
• Exposure to data pipelines, APIs, or backend development concepts
• Familiarity with containerisation (e.g. Docker) or workflow tools (e.g. Airflow)
• An interest in modern AI approaches such as LLMs or applied AI use cases
• Basic understanding of Software Engineering principles
• Exposure to API development

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About Rightmove

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......

People are the foundation of Rightmove - We’ll help you build a career on it.

What we offer 

• 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.
• 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.
• We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process.

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As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. 

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.

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