75 jobs in Compare the Market

Curious about what’s next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions.

Function: Data

Location: London / Peterborough

At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’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’ve carved a meerkat-shaped niche and we’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’ll fit right in.

• Analyse customer behaviour and product performance using techniques such as funnel analysis, cohort analysis, segmentation, and behavioural analytics to identify opportunities and drive improvements
• Support Product Managers in understanding customer journeys, user engagement, conversion, and retention, helping to shape product strategy and priorities
• Conduct exploratory analysis to answer product and business questions, translating complex data into clear, actionable recommendations
• Define and measure product success metrics and KPIs, evaluating the impact of product changes and communicating outcomes to stakeholders
• Design, execute, and analyse A/B tests and product experiments, helping to embed a culture of experimentation and evidence-based decision-making
• Build and maintain dashboards and reporting solutions, proactively monitoring trends, identifying risks, and surfacing growth opportunities
• Partner with Analytics Engineering teams to ensure KPI definitions, business logic, and product instrumentation are accurate, scalable, and trusted
• Apply AI and machine learning techniques, including LLM-assisted analysis, predictive modelling, and automated insight generation, to enhance product understanding and measurement
• Collaborate closely with Product Managers, Designers, Engineers, and Data teams to ensure decisions are grounded in robust analysis and customer insight

You’ll have strong analytical skills and experience working with large datasets to uncover insights that drive better customer and business outcomes. You’ll be highly proficient in SQL and comfortable analysing customer and behavioural data to support product decisions and strategic priorities.

You’ll bring experience with experimentation and A/B testing, alongside a solid understanding of statistical concepts and product analytics techniques such as funnel analysis, cohort analysis, and segmentation. Experience with visualisation tools such as Looker, Tableau, or Power BI is essential, as is the ability to communicate complex findings clearly to both technical and non-technical audiences.

You’ll have an understanding of digital product development and customer experience optimisation, with a curiosity for how emerging technologies, including AI, can improve product measurement, experimentation, and customer understanding. Experience using Python or R for analysis, and familiarity with product analytics platforms such as FullStory, Mixpanel, or Amplitude, would be advantageous.

We’re looking for someone who combines analytical rigour with product curiosity, thrives in collaborative environments, and enjoys helping teams make better decisions through data.

We’re a business built for pace and performance. Here, you’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’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.

If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.

Compare The Market is looking for a Senior Machine Learning Engineer to join their team in London. This hybrid role requires deep expertise in ML engineering and AI systems to build impactful solutions. You will work hand-in-hand with data scientists and engineers to deploy and maintain production-level AI models, ensuring real user value and performance.

Candidates should have hands-on experience with LLM systems, strong Python skills, and a collaborative mindset. You’ll be part of a culture that values innovation and inclusivity while contributing to transformative financial products.

Compare The Market is looking for a Technology Delivery Manager to lead delivery performance in hybrid teams across London and Peterborough. The role focuses on operational excellence, Agile facilitation, and cross-team collaboration, ensuring alignment with organizational strategy.

Ideal candidates will have strong experience in Agile delivery management and risk management. Join a dynamic team that thrives on innovation and purpose!

Senior Manager - Analytics Engineering

Function: Data

Location: Hybrid, London or Peterborough office

As the Senior Manager - Analytics Engineering, you'll lead the evolution of Analytics Engineering at Compare the Market. You'll shape and deliver the strategy that moves the organisation from traditional business intelligence to a modern, scalable Analytics Engineering model, enabling the business through trusted, timely and self‑service data. Working at the intersection of data engineering, analytics and business enablement, you will unite Analytics Engineers and Analysts under a single vision for how we create value from data. You will set clear direction, establish technical and delivery standards, and build a culture focused on automation, insight, and self‑service. You will work closely with Technology, Product and Business stakeholders to ensure our data assets, tools and people are enabling smarter, faster and more confident decision making across the business.

• Define and deliver the Analytics Engineering strategy, driving the shift from BI reporting to scalable, reusable data models and self‑service solutions.
• Lead, coach and develop a multidisciplinary team including Analytics Engineers, Analysts and Operations, creating clear ownership, accountability and growth opportunities.
• Partner with Technology and Data Enablement to shape the design and delivery of data pipelines, semantic layers and analytics platforms that support consistent and trusted reporting.
• Drive adoption of best practices in data modelling, automation, and testing within analytics delivery teams.
• Lead the creation of high‑quality, user‑friendly data assets and tools that empower business users to explore and act on data independently.
• Establish and maintain standards for analytics engineering, data quality and documentation to ensure reliability and reusability.
• Champion self‑service, working with business stakeholders to identify enablement opportunities and embed new ways of working.
• Ensure smooth and efficient operations, managing workload, demand, and continuous improvement of reporting and data delivery processes.
• Act as a trusted advisor to senior business and technology leaders on data‑driven decision making, balancing business outcomes with technical excellence.
• Collaborate across Data and Tech to influence future platform and architecture decisions that support analytics at scale.

• Proven leader of high‑performing data or analytics teams.
• Experience modernising BI or analytics delivery functions.
• Strong grasp of analytics engineering practices (e.g. dbt, SQL, Git).
• Skilled in designing scalable, reusable data models and assets.
• Proficient in BI and visualisation tools (e.g. Power BI, Looker, Tableau).
• Clear communicator, able to influence technical and non‑technical stakeholders.
• Strong commercial acumen and strategic judgement.
• Confident with agile and continuous improvement methods.
• Passionate about enabling insight through self‑service and automation.

Compare The Market is seeking a Staff Engineer for Enterprise Services to shape technical direction and delivery across Enterprise Services. This role involves mentoring, defining strategy, and partnering with various teams to ensure alignment with business objectives.

You will oversee technical governance, solve complex problems, and contribute to engineering standards while operating in a fast-paced, performance-driven environment. If you're ready to take accountability and make a difference, we want to hear from you.

Compare the Market is seeking a Senior Salesforce Engineer to enhance our Salesforce environment in Peterborough. You'll dive into Salesforce configuration while supporting our Service Cloud and Experience Cloud functionalities. Your expertise in Omnistudio, Apex, and Lightning Web Components will help maintain a secure, scalable, and efficient system.

Join us to be part of a results-driven team that values diverse perspectives and encourages innovation.

London, United Kingdom

Function: Data & AI Solutions
Location: Hybrid, London office

Curious about what’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’re a purpose-driven business powered by tech and AI. We’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’ve carved a meerkat-shaped niche and we’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’ll fit right in.

We’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 Senior Machine Learning Engineer, you will play a central role in making those systems production-ready. That means owning 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 with real technical scope. You will work closely with data scientists, engineers, and product teams - contributing to architecture decisions, raising engineering standards, and building the reusable tooling that raises the pace and quality of delivery across a fast-moving and expanding set of AI capabilities and systems.

Some of the great things you'll be doing:

ML Engineering and AI Systems

• Own the end-to-end delivery of production machine learning and AI solutions in collaboration with data scientists and product teams
• Design and build model pipelines for training, validation, and deployment using modern tooling (e.g.MLflow, Kubernetes)
• Contribute hands-on code to model packaging, deployment, and lifecycle automation
• Build systems thatmonitormodel performance, drift,reliabilityand operational health in real time
• Support both batch and real-time ML workloads depending on use case requirements
• Work on emerging AI and LLM-powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value

Platform and Standards

• Help evolve our internal ML and AI platform to support experimentation, governance, and collaboration
• Define and promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation
• Develop shared tools and libraries that accelerate safe, efficient, and scalable ML development

Collaboration and Technical Leadership

• Work closely with data scientists toproductioniseexperimental models and turn prototypes into robust services
• Act as a technical mentor and code reviewer for other engineers and contributors
• Provide technical leadership across ML and AI initiatives, contributing to architecture discussions and design reviews

Culture and Innovation

• Contribute to a culture of engineering excellence, collaboration, and continuous learning
• Stay up to date on emerging tools and approaches inMLOpsand applied AI, helping evaluate and adopt technologies where appropriate
• Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems

What we'd like to see from you:

The Essentials

• Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such asLangGraphorLangChain
• Familiarity with multi-step AI patterns - building systems where models plan, retrieve information and take sequences of actions
• Strong experience deploying ML models into production in cloud-native environments
• Solid software engineering skills in Python, with experience building scalable services, APIs, and production-quality code
• Experience with modern ML tooling and platforms (e.g.Databricks,MLflow, Airflow, Kubeflow, SageMaker, Vertex AI)
• Familiarity with CI/CD pipelines and infrastructure-as-code (e.g.Terraform, CloudFormation)
• Experience building robust, maintainable, and testable ML pipelines and APIs, including batch or real-time model delivery
• Strong understanding of ML lifecycle challenges - versioning, testing, monitoring, governance
• Excellent collaboration and communication skills, with experience working across data science, engineering, and product teams

Nice to Have

• 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
• Experience in financial services,insuranceor another regulated sector
• Experience deploying real-time or streaming ML models (e.g.Kafka, Flink, Spark Structured Streaming)
• Passion for automation, tooling, and building reusable systems
• Interest in responsible AI and ML model governance

Why Compare the Market?

We’re a business built for pace and performance. Here, you’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’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.

If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.

Compare the Market is seeking a Staff Engineer for Enterprise Services to shape technical direction and delivery. Your role will involve applying deep enterprise engineering expertise to enhance infrastructure and tooling.

You will lead initiatives, define strategies, and mentor engineers while ensuring alignment to business objectives. This hybrid role is perfect for those aiming to make a significant impact in a fast-paced environment.