Abrar Admin

Compare the Market

<div>
 
 Job Description
 
 
 
 
 Software Engineer
 
 
 
 
 Function:
 
 Technology
 
 
 
 Location:
 
 London, Peterborough
 
 
 
 Curious about what&rsquo;s next?
 
 
 
 So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
 
 
 At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
 
 
 We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Work with Product Managers, Engineering Managers, and Engineering Leadership to design solutions and considering trading-off technical and operational considerations
 </li>
 <li>
 Interacting with cross-functional engineering teams across the company to improve efficiency and reduce bottlenecks
 </li>
 <li>
 Take responsibility for keys aspects of the development life cycle, from design to implementation, testing, security, and maintenance.
 </li>
 <li>
 Ensure testing and security standards are well embedded into the software the team produces.
 </li>
 <li>
 Active in a community of practice for engineering to develop and share knowledge.
 </li>
 <li>
 Effectively participate in the team's software development methodologies, such as pairing, code and documentation reviewing and continuous delivery
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Demonstratable experience with Node,js (backend focus), JavaScript/ TypeScript and GraphQL
 </li>
 <li>
 Experience building scalable, highly available services and products.
 </li>
 <li>
 Experience designing and maintaining build, test, and deployment pipelines as part of delivering robust software systems
 </li>
 <li>
 Knowledge of security engineering practices and methods
 </li>
 <li>
 Creative problem solver who organises a team around a challenge
 </li>
 <li>
 Work with agile methodologies and lean thinking methods
 </li>
 <li>
 Active learner, both within your technical and professional area of expertise
 
 
 </li>
 </ul>
 
 Why Compare the Market?
 
 
 
 We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
 
 
 We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
 
 
 If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.
</div>

Software Engineer

<div>
 
 Job Description
 
 
 
 
 Data Scientist
 
 
 
 
 Function:
 
 Data
 
 
 
 Location:
 
 Hybrid, London
 
 
 
 Curious about what&rsquo;s next?
 
 
 
 So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
 
 
 At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
 
 
 We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in.
 
 
 
 We&rsquo;d love you to be part of our journey.
 
 
 
 As a Data Scientist at Compare the Market, you&rsquo;ll play a key role in developing AI and machine learning solutions that improve customer journeys, pricing intelligence, and product personalisation. Working cross functionally alongside engineers, analysts, and product managers contributing to real-world applications of machine learning that impact millions.
 
 
 
 Some Of The Great Things You&rsquo;ll Be Doing
 
 
 
 
 AI Solution Delivery
 
 
 
 <ul>
 <li>
 Contribute to the development of machine learning solutions from design through to deployment
 </li>
 <li>
 Build and evaluate predictive models using Python and SQL
 </li>
 <li>
 Translate business challenges into structured data science problems
 
 
 </li>
 </ul>
 
 Applied Science &amp; Experimentation
 
 
 
 <ul>
 <li>
 Conduct statistical analysis and feature engineering to generate actionable insights
 </li>
 <li>
 Support A/B test design, evaluation, and interpretation with rigour and clarity
 </li>
 <li>
 Collaborate with stakeholders to ensure data science solutions are well aligned to product and business needs
 
 
 </li>
 </ul>
 
 Platform &amp; Practices
 
 
 
 <ul>
 <li>
 Work with ML Engineers to support deployment, monitoring, and performance tracking of your models
 </li>
 <li>
 Contribute to team standards on reproducibility, documentation, and model evaluation
 </li>
 <li>
 Apply responsible AI practices to ensure fairness and transparency
 
 
 </li>
 </ul>
 
 Team &amp; Learning
 
 
 
 <ul>
 <li>
 Take part in peer reviews, knowledge sharing, and internal learning sessions
 </li>
 <li>
 Support and coach junior team members and peers, contributing to their growth
 </li>
 <li>
 Play an active role in shaping our data science culture and community
 
 
 </li>
 </ul>
 
 What We&rsquo;d Like To See From You
 
 
 
 
 Must Have
 
 
 
 <ul>
 <li>
 Experience delivering machine learning or advanced analytics solutions with measurable impact
 </li>
 <li>
 Proficient in Python and SQL, with practical experience in modelling, feature engineering, and evaluation
 </li>
 <li>
 Strong problem-solving skills and ability to break down complex problems into data-driven approaches
 </li>
 <li>
 Comfortable working collaboratively in cross-functional teams
 </li>
 <li>
 Clear communicator with a passion for sharing insights and learning from others
 </li>
 <li>
 A background in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics, Engineering) or equivalent hands-on experience in applied machine learning
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience working in regulated sectors such as insurance, banking, or financial services
 </li>
 <li>
 Familiarity with tools like MLflow, model registries, or experimentation platforms
 </li>
 <li>
 Understanding of basic CI/CD concepts or exposure to production ML workflows
 </li>
 <li>
 Interest in generative AI or large language models (e.g. OpenAI, Vertex AI)
 </li>
 <li>
 Awareness of responsible AI principles, such as fairness or explainability in models
 
 
 </li>
 </ul>
 
 Why Compare the Market?
 
 
 
 We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
 
 
 We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
 
 
 If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.
</div>

Data Scientist

<div>
 
 Job Description
 
 
 
 
 Machine Learning Engineer
 
 
 
 
 Function:
 
 Data &amp; AI Solutions
 
 
 
 Location:
 
 Hybrid, London office
 
 
 
 Curious about what&rsquo;s next?
 
 
 
 So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
 
 
 At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
 
 
 We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in.
 
 
 
 We&rsquo;d love you to be part of our journey.
 
 
 
 Compare the Market is building AI systems that connect directly to how millions of people in the UK find and buy financial products - and as a Machine Learning Engineer, you will play an important role in making those systems production-ready. That means contributing to the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use: the pipelines, the deployment tooling, the monitoring, and the shared components that make the whole thing work.
 
 
 This is a hands-on role where you will grow your technical skills across a fast-moving and expanding set of AI capabilities and systems. You will work closely with data scientists, engineers, and product teams - delivering well-scoped ML and AI features, contributing to engineering standards, and building your understanding of what good looks like in a modern ML engineering function.
 
 
 
 Some Of The Great Things You'll Be Doing
 
 
 
 
 ML Engineering and AI Systems
 
 
 
 <ul>
 <li>
 Deliver well-scoped ML and AI system components end-to-end, from design through to testing, deployment, and production support
 </li>
 <li>
 Contribute hands-on code to model packaging, deployment, and lifecycle automation
 </li>
 <li>
 Build and improve systems that monitor model performance, drift, reliability, and operational health
 </li>
 <li>
 Support both batch and real-time ML workloads depending on use case requirements
 </li>
 <li>
 Work on emerging AI and LLM-powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value
 
 
 </li>
 </ul>
 
 Platform and Standards
 
 
 
 <ul>
 <li>
 Contribute to the evolution of our internal ML and AI platform to support experimentation, governance, and collaboration
 </li>
 <li>
 Apply and help promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation
 </li>
 <li>
 Contribute to shared tools and libraries that accelerate safe, efficient, and scalable ML development
 
 
 </li>
 </ul>
 
 Collaboration
 
 
 
 <ul>
 <li>
 Work closely with data scientists to help productionise experimental models and turn prototypes into robust services
 </li>
 <li>
 Contribute to code reviews, providing and receiving constructive feedback
 </li>
 <li>
 Participate in architecture and design discussions, raising considerations around scalability, reliability, and system interactions
 
 
 </li>
 </ul>
 
 Culture and Innovation
 
 
 
 <ul>
 <li>
 Contribute to a culture of engineering excellence, collaboration, and continuous learning
 </li>
 <li>
 Stay curious about emerging tools and approaches in MLOps and applied AI, and bring ideas for improvement to the team
 </li>
 <li>
 Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems
 
 
 </li>
 </ul>
 
 The Essentials
 
 
 
 
 What we'd like to see from you:
 
 
 
 <ul>
 <li>
 Some experience delivering ML or AI components in a production or near-production environment
 </li>
 <li>
 Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code
 </li>
 <li>
 Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent
 </li>
 <li>
 Familiarity with CI/CD pipelines and how they apply to ML systems
 </li>
 <li>
 An understanding of ML lifecycle challenges - versioning, testing, monitoring, governance
 </li>
 <li>
 Good collaboration and communication skills, with an ability to work effectively across data science, engineering, and product teams
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to LLM-based systems - for example prompt engineering, RAG, or orchestration frameworks such as LangGraph or LangChain
 </li>
 <li>
 Familiarity with multi-step AI patterns - systems where models plan, retrieve information, and take sequences of actions
 </li>
 <li>
 Active personal use of AI-assisted or agentic coding tools, and an interest in how similar patterns could be applied to automate and accelerate ML engineering workflows - candidates who are exploring this space, even at an early stage, are encouraged to talk about it
 </li>
 <li>
 Experience or interest in financial services, insurance, or another regulated sector
 </li>
 <li>
 Interest in responsible AI and ML model governance
 
 
 </li>
 </ul>
 
 Why Compare the Market?
 
 
 
 We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
 
 
 We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
 
 
 If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.
</div>

Machine Learning Engineer

Join Compare the Market and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Compare the Market

About Company

Software Engineer

Data Scientist

Machine Learning Engineer