We are looking for a

Senior Data Scientist (GenAI) Location: London Reporting to: Data Science Manager

The role As a Senior Data Scientist, you will be part of our newly formed cross-functional squads that consist of people from different job functions across Rightmove including Machine Learning Engineers, Data Scientists, Software Developers, Machine Learning Ops Engineers, and a Product Owner. The squads are collaborative, ambitious, and determined teams that work with a high degree of autonomy and velocity, and value innovation and impact. They sit within the Data and Analytics Team, which is part of the Product Development organisation and plays a pivotal role in delivering exciting solutions. Last year Rightmove launched a project called RAID (Rightmove AI Discovery) which was an opportunity to successfully explore, experiment and innovate with generative AI. The outputs from RAID, combined with the prioritised Hackathon ideas have contributed to our future product roadmaps and we are looking for a Senior Data Scientist who is proficient in designing and developing advanced AI solutions to solve diverse problems and improve Rightmove’s experience for the consumer and estate agents. The successful candidate will be a motivated expert who can help Rightmove advance our AI solution offerings. In this role you will evaluate industry trends, identify, and develop models and adoption opportunities, define, and validate model architecture in early phases of AI solution development and collaborate across squads and Rightmove teams. As a Senior Data Scientist, you will have an incredible amount of ownership, autonomy, and impact. The Data & Analytics Team has continuously grown over the past 18 months, and we continue to invest in enriching our data and data science capabilities to deliver effective and impactive solutions in an industry that is exciting, interesting, relevant, and challenging. A typical week as a Senior Data Scientist might involve • Design, prototype, implement, evaluate, and optimise generative AI technologies and machine learning algorithms

to solve interesting and complex business problems • Facilitate optimal scaling and adoption of generative AI, which include designing and developing at scale generative

AI system architectures, prompt engine development, creating optimal model selection strategy, continuous monitoring and evaluation mechanisms

• Exploring and promoting use of generative AI in Rightmove’s portfolio of applications and products • Influence strategic decision making around Rightmove’s AI offering • Acting as a key scientific resource in full-cycle development • Machine learning monitoring in production using MLOps practices • Play a strategic role formulating new and creative ideas for leveraging Rightmove’s vast amount of data and

modelling complex discovery insights and identifying business opportunities • Collaborate with senior management and key stakeholders in identifying and prioritising actionable, impactful

insights across a variety of core business fronts, driving informed decision-making across the business and, hence, enhancing Rightmove’s capability to achieve goals and objectives

• Oversee the activities of data scientist(s) ensuring proper execution of their duties and providing mentorship and guidance, whilst simultaneously guaranteeing integrity, accuracy, and adequacy

• Provide support to various data projects and/or OKRs such as contributing to the exciting data engineering development of the next generation data platform – Data Hive

• Provide advanced expertise on statistical and mathematical concepts for the broader Data & Analytics Team We’re looking for someone who

• Who has relevant and impactful experience of developing and deploying both traditional machine learning and large language models

• Can help build organisational capabilities around generative AI • Based on your understanding of generative AI tools and business requirements, will help develop tools and services

to evaluate and control generative AI model quality across Rightmove • Has relentless passion to learn more and go deep in machine learning and generative AI concepts • Can conduct training sessions, present work to technical and non-technical peers, build knowledge on business

priorities / strategic goals and leverage this knowledge whilst building requirements and solutions • Will stay up to date with emerging AI trends • Will maintain best practices for model development including deployment process, documentation, and coding

standards • Can confidently contribute to technical and product discussions and share knowledge and ideas with colleagues

across the company • Has substantial experience working and within cross functional teams and collaborating across teams • Is open to constructive feedback and is both a leading individual and team contributor • Has exceptional communication skills, who collaborates and delivers results as they work • Can troubleshoot problem areas and investigate a solution that will fix the issue. And if unsure of the problem, can

research and learn how to resolve the problem or collaborate well with others to aid you in the effort • Can look at the ‘big picture’ and understand where the value is for the business. Analyse user needs, understand

where the gaps are, and contribute to leading change across Rightmove to adopt data science practices • Is curious and has a creative mind coupled with first rate critical thinking skills • Has the ability to challenge and question ideas, openly and honestly, whilst providing solutions and options

We would love someone to have any of the following

• Have a Batchelors degree, MSc or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning or related STEM field

• Experience with Generative AI and comfortable working in a dynamic environment where GenAI is evolving as a key offering

• At least 5+ years of experience as a data scientist, within a fast-paced complex business setting using machine learning, deep learning and natural language processing algorithms from initial data and model selection, through to results evaluation and optimisation

• Experience using generative model libraries such as generative adversarial networks and variational autoencoders and pre-trained models such as OpenAI’s GPT models, StyleGan and BigGan

• Professional experience in SQL and Python beyond scripting; knowledge of basic paradigms (e.g. Object-orientated programming), related tools (e.g. Git) and core libraries and deep learning frameworks (e.g. PyTorch, Tensorflow, Keras); cloud technologies, particularly GCP; Big data processing frameworks (e.g. PySpark)

• Management experience of at least 1 data scientist • Be impact driven and eager to have a real impact on the business, product, users and very importantly your

colleagues as well • Be commercially minded and can put numbers into a business perspective and have experience of working in a fast-

paced environment to drive growth • Self-starter mindset – you can proactively identify issues and opportunities and tackle them without being told to

do so • Strong interpersonal skills and are comfortable working with multiple stakeholders • Proactive in seeking and giving caring and constructive feedback

Ultimately, we care much more about the person you are, how you think and approach things, than a list of qualifications and buzzwords on a CV. Even if you can’t say ‘yes’ to all of the above, but are smart, self-motivated and passionate about data then get in touch. About us

We are on a mission to ‘help people make the right move’, we launched in 2000 with a will to make home-hunting happy, by showing all property in just one place.

A great success story, we’re an established member of the FTSE 100 and one of the biggest home-grown web brands in the UK. Despite our success, we remain a down-to-earth bunch and we encourage and support all Rightmovers to continuously develop themselves.

Together we work towards the best outcome, both in terms of our technical solutions and continued business growth. We are always on the lookout for the great new people to join our team. If you are a smart and passionate initiative-taker then get in touch. You could be part of the next chapter of the Rightmove story!

We believe that ensuring diversity of background and experience will lead to a more fun and inclusive workplace and the creation of better products for our users. We are an equal opportunities employer, come and help us make home moving easier.

Did you know that?

• Rightmove was meant to be called 'Doorknob.' But it didn't quite have the same ring to it • We still have employee #1 working at Rightmove • Last year we had (on average) 1.5 billion-page views a month • Our speedy customer experience support team answer our customers calls every 6 seconds

We are looking for a

Senior Machine Learning Engineer Location: London

The role As a Senior Machine Learning Engineer, you will be part of our newly formed cross-functional squads that consist of people from different job functions across Rightmove including Machine Learning Engineers, Data Scientists, Software Developers, Machine Learning Ops Engineers, and a Product Owner. The squads are collaborative, ambitious, and determined teams that work with a high degree of autonomy and velocity, and value innovation and impact. They sit within the Data and Analytics Team, which is part of the Product Development organisation and plays a pivotal role in delivering exciting solutions. Last year Rightmove launched a project called RAID (Rightmove AI Discovery) which was an opportunity to successfully explore, experiment and innovate with generative AI. The outputs from RAID, combined with the prioritised Hackathon ideas have contributed to our future product roadmaps and we are looking for a Senior Machine Learning Engineer to build efficient, data-driven AI systems that advance both our prediction automation and generative AI capabilities. We are proud to be a team that is currently growing and enriching its data and data science capabilities to deliver effective and impactive solutions in an industry that is exciting, interesting, relevant, and challenging. You will be taking an active part in our AI platform - driving the development, implementation and scale-up of algorithms for measurable impact across the business, and creating the tools, frameworks and infrastructures that enables the acceleration of both delivery and optimisation of machine learning and generative AI products. Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. Your expertise and contributions will be invaluable in shaping the future of our AI capability and platform. A typical week as a Senior Machine Learning Engineer might involve • Leading the effort to design, build, implement, and scale the end-to-end architecture for traditional machine

learning and generative AI models. • Collaborating with data engineers and software engineers to build scalable and reliable infrastructure, as part of our

unified data platform (Data Hive) that supports diverse machine learning workloads. • Working with large datasets, clean and pre-process data, and engineer features to make them suitable for machine

learning models. This may involve data cleaning, normalization, and handling missing values. • Acting as a bridge between data scientists who may not have the experience of building scalable systems, and

backend engineers who may lack experience with machine learning or generative AI based systems • Actively engage in all aspects of model development, from ideation and experimentation to deployment • Support defining priorities and roadmap – deciding what we need first and what we need to build vs. what to buy, in

partnership with other teams. • Collaborating with senior management and key stakeholders in identifying and prioritising actionable, impactful

insights across a variety of core business fronts, driving informed decision-making across the business and, hence, enhancing Rightmove’s capability to achieve goals and objectives

• Provide support to various data projects and/or OKRs such as contributing to the exciting data engineering development of Rightmove’s unified data platform – Data Hive

We’re looking for someone who

• Is an accomplished and driven Senior Machine Learning Engineer who also has a good understanding of large language models and generative AI

• Can translate the latest research into high-performing systems and models that can be practically applied to enhance user experience

• Can apply techniques like fine-tuning and transfer learning to adapt pre-trained generative models to specific tasks or domains

• Fosters an obsession with quality and engineering excellence through automated repeatable processes • Experience of MLOps and GenAIOps frameworks and standards for robust embedding of machine learning and large

language models • Has good knowledge of data structures, data modelling and software architecture • Can help shape the future of AI at Rightmove by providing valuable feedback and contributing to tool improvements • Can develop methods to explain and interpret the decisions made by generative models, especially in scenarios

where transparency is crucial • Has relentless passion to learn more and go deep in machine learning and generative AI concepts • Will maintain best practices for model development including deployment process, documentation, and coding

standards • Can confidently contribute to technical and product discussions and share knowledge and ideas with colleagues

across the company • Has exceptional communication skills, collaborates and delivers results as they work • Can look at the ‘big picture’ and understand where the value is for the business. Analyse user needs, understand

where the gaps are, and contribute to leading change across Rightmove to adopt data science practices • Is open to constructive feedback and is both a leading individual and team contributor • Is curious and has a creative mind coupled with first rate critical thinking skills • Has the ability to challenge and question ideas, openly and honestly, whilst providing solutions and options • Ongoing professional development in machine learning and AI domains is expected

We would love someone to have any of the following

• Have a Bachelors degree, MSc or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning, or related STEM field

• At least 5+ years of relevant machine learning and data engineering experience within a fast-paced complex business setting

• Have expertise in understanding and implementing generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and autoregressive models like Transformers

• Professional experience in SQL and Python beyond scripting; knowledge of basic paradigms (e.g. Object-orientated programming), related tools (e.g. Git) and core libraries and deep learning frameworks (e.g. PyTorch, Tensorflow, Keras); cloud technologies, particularly GCP; experience with ML pipeline orchestration tools; deployment experience overseeing end to end ML lifecycle from data quality checks, unit tests, feature store, deployment frameworks; experience building reusable MLOps framework for applications

• Comfortable working in a dynamic environment where generative AI is evolving as a key offering. • Have worked on projects involving the simultaneous generation of multiple types of data, such as images and text,

pushing the boundaries of what generative models can achieve • Be impact driven and eager to have a real impact on the business, product, users and very importantly your

colleagues as well • Be commercially minded and can put numbers into a business perspective and have experience of working in a fast-

paced environment to drive growth • Self-starter mindset – you can proactively identify issues and opportunities and tackle them without being told to

do so • Strong interpersonal skills and are comfortable working with multiple stakeholders • Proactive in seeking and giving caring and constructive feedback

Ultimately, we care much more about the person you are, how you think and approach things, than a list of qualifications and buzzwords on a CV. Even if you can’t say ‘yes’ to all of the above, but are smart, self-motivated and passionate about data then get in touch. About us We are on a mission to ‘help people make the right move’, we launched in 2000 with a will to make home-hunting happy, by showing all property in just one place. A great success story, we’re an established member of the FTSE 100 and one of the biggest home-grown web brands in the UK. Despite our success, we remain a down-to-earth bunch and we encourage and support all Rightmovers to continuously develop themselves. Together we work towards the best outcome, both in terms of our technical solutions and continued business growth. We are always on the lookout for the great new people to join our team. If you are a smart and passionate initiative-taker then get in touch. You could be part of the next chapter of the Rightmove story! We believe that ensuring diversity of background and experience will lead to a more fun and inclusive workplace and the creation of better products for our users. We are an equal opportunities employer, come and help us make home moving easier. Did you know that?

• Rightmove was meant to be called 'Doorknob.' But it didn't quite have the same ring to it • We still have employee #1 working at Rightmove • Last year we had (on average) 1.5 billion-page views a month • Our speedy customer experience support team answer our customers calls every 6 seconds