Abrar Admin

Compare The Market

<div><h1 class="jobSectionHeader">Engineering Manager
</h1>Function: Tech
 
Location: Hybrid &ndash; London 
<h2 class="jobSectionHeader">Curious about what's next?
</h2>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.
 
 
As an Engineering Manager, you'll play a pivotal role in building a world-class engineering function where technical excellence, ownership, and continuous improvement are at the heart of everything we do. You'll create an environment where engineers are empowered to solve meaningful problems at scale while balancing long-term technical strategy with delivery.
<h2 class="jobSectionHeader">What you'll be doing: 
</h2><ul><li>Lead, coach and develop a high-performing engineering team.
</li><li>Recruit, develop and retain engineering talent.
</li><li>Foster a culture of ownership, psychological safety and continuous improvement.
</li><li>Drive technical excellence and engineering best practices.
</li><li>Own the technical health, reliability and maintainability of critical customer facing systems.
</li><li>Partner with Staff and Principal Engineers on architecture and technical strategy.
</li><li>Collaborate with Product Managers to balance delivery, customer value and technical debt.
</li><li>Champion Agile ways of working and data-driven engineering improvements.
</li><li>Drive adoption of AI-augmented engineering practices and developer tooling.
</li><li>Ensure engineering practices align with governance, security and risk requirements.
</li></ul><h2 class="jobSectionHeader">What we're looking for: 
</h2>You'll bring proven experience leading high-performing software engineering teams within modern technology organisations. You'll have a strong software engineering background, excellent communication skills and experience guiding architecture, scalability, maintainability and reliability. You'll be passionate about developing people, improving developer experience, embracing AI-augmented engineering practices such as Spec Driven Development and delivering high-quality technology that creates value for customers and the business. 
<h2 class="jobSectionHeader">Why Compare the Market? 
</h2>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.</div>

Engineering Manager

<div><h1 class="jobSectionHeader">Engineering Manager</h1>
Function: Tech 
Location: Hybrid &ndash; London<h2 class="jobSectionHeader"> 
Curious about what's next?</h2>
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. 
 
As an Engineering Manager, you'll play a pivotal role in building a world-class engineering function where technical excellence, ownership, and continuous improvement are at the heart of everything we do. You'll create an environment where engineers are empowered to solve meaningful problems at scale while balancing long-term technical strategy with delivery.<h2 class="jobSectionHeader">
What you'll be doing:</h2> 
<ul><li>
Lead, coach and develop a high-performing engineering team.</li><li>
Recruit, develop and retain engineering talent.</li><li>
Foster a culture of ownership, psychological safety and continuous improvement.</li><li>
Drive technical excellence and engineering best practices.</li><li>
Own the technical health, reliability and maintainability of critical customer facing systems.</li><li>
Partner with Staff and Principal Engineers on architecture and technical strategy.</li><li>
Collaborate with Product Managers to balance delivery, customer value and technical debt.</li><li>
Champion Agile ways of working and data-driven engineering improvements.</li><li>
Drive adoption of AI-augmented engineering practices and developer tooling.</li><li>
Ensure engineering practices align with governance, security and risk requirements.</li></ul><h2 class="jobSectionHeader">
What we're looking for:</h2> 
You'll bring proven experience leading high-performing software engineering teams within modern technology organisations. You'll have a strong software engineering background, excellent communication skills and experience guiding architecture, scalability, maintainability and reliability. You'll be passionate about developing people, improving developer experience, embracing AI-augmented engineering practices such as Spec Driven Development and delivering high-quality technology that creates value for customers and the business.<h2 class="jobSectionHeader"> 
Why Compare the Market?</h2> 
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.</div>

<div>Senior Machine Learning Engineer &ndash; Customer AI
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 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
<ul><li>Own the end-to-end delivery of production machine learning and AI solutions in collaboration with data scientists and product teams
</li><li>Design and build model pipelines for training, validation, and deployment using modern tooling (e.g. MLflow, Kubernetes)
</li><li>Contribute hands-on code to model packaging, deployment, and lifecycle automation
</li><li>Build systems that monitor model performance, drift, reliability and operational health in real time
</li><li>Support both batch and real-time ML workloads depending on use case requirements
</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>
</li></ul>Platform and Standards
<ul><li>Help evolve our internal ML and AI platform to support experimentation, governance, and collaboration
</li><li>Define and promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation
</li>Develop shared tools and libraries that accelerate safe, efficient, and scalable ML development 
<li>
</li></ul>Collaboration and Technical Leadership
<ul><li>Work closely with data scientists to productionise experimental models and turn prototypes into robust services
</li><li>Act as a technical mentor and code reviewer for other engineers and contributors
</li>Provide technical leadership across ML and AI initiatives, contributing to architecture discussions and design reviews 
<li>
</li></ul>Culture and Innovation
<ul><li>Contribute to a culture of engineering excellence, collaboration, and continuous learning
</li><li>Stay up to date on emerging tools and approaches in MLOps and applied AI, helping evaluate and adopt technologies where appropriate
</li>Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems 
<li>
</li></ul>What we'd like to see from you:
The Essentials
<ul><li>Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain
</li><li>Familiarity with multi-step AI patterns - building systems where models plan, retrieve information and take sequences of actions
</li><li>Strong experience deploying ML models into production in cloud-native environments
</li><li>Solid software engineering skills in Python, with experience building scalable services, APIs, and production-quality code
</li><li>Experience with modern ML tooling and platforms (e.g. Databricks, MLflow, Airflow, Kubeflow, SageMaker, Vertex AI)
</li><li>Familiarity with CI/CD pipelines and infrastructure-as-code (e.g. Terraform, CloudFormation)
</li><li>Experience building robust, maintainable, and testable ML pipelines and APIs, including batch or real-time model delivery
</li><li>Strong understanding of ML lifecycle challenges - versioning, testing, monitoring, governance
</li>Excellent collaboration and communication skills, with experience working across data science, engineering, and product teams 
<li>
</li></ul>Nice to Have
<ul><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 in financial services, insurance or another regulated sector
</li><li>Experience deploying real-time or streaming ML models (e.g. Kafka, Flink, Spark Structured Streaming)
</li><li>Passion for automation, tooling, and building reusable systems
</li>Interest in responsible AI and ML model governance 
<li>
</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>

Senior Machine Learning Engineer - Customer AI

<div>Machine Learning Engineering Manager
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 at an inflection point. We are shifting from a business that answers data questions to one that builds the intelligence powering our AI systems and platform.
As a Machine Learning Engineering Manager in our Data &amp; AI Solutions team, you will lead a team building and owning production systems at the heart of our AI platform. That means real-time inference APIs serving millions of customers, batch data products powering intelligent decision-making, and LLM-based agentic solutions spanning both customer-facing products and internal tools that shape how the wider team works. These are not simple systems - and building them well, keeping them healthy, and continuously raising the engineering bar is what this team exists to do.
You will set technical direction, develop your team, and work closely with data, product, commercial and engineering colleagues to ensure the intelligence your team builds has a real effect on the business. 
Some of the great things you'll be doing:
Leading Delivery of ML and AI Systems<ul><li>
Lead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference APIs, batch data products, and LLM-based agentic solutions</li><li>
Collaborate closely with data scientists to move prototypes into high-quality production systems, maintaining quality and performance as complexity scales</li><li>
Drive team planning, estimation, and sprint delivery - ensuring projects are delivered on time and to a high standard</li><li>
Ensure every system your team ships connects to a real outcome and has a mechanism to improve over time</li></ul> 
Growing Your Team<ul><li>
Develop your team of machine learning engineers through regular feedback, technical mentorship and honest career conversations</li><li>
Contribute to hiring, helping bring in people who combine technical rigour with curiosity and commercial awareness</li><li>
Foster a team environment where ambition and delivery reinforce each other</li><li>
Contribute to standards and practices across the wider Data &amp; AI Solutions chapter</li></ul> 
Technical Leadership<ul><li>
Set the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation</li><li>
Take ownership of how the team approaches production health: knowing when a system is degrading, having a plan to address it, and ensuring monitoring and observability are built in from the start</li><li>
Contribute to the design and evolution of our ML and AI tooling and shared platform components</li><li>
Be hands-on in design sessions, code reviews, and architectural decisions where your input matters</li><li>
Guide your team through a fast-moving tooling landscape spanning classical ML, LLM-based systems, and agentic AI patterns - knowing when each is the right approach</li><li>
Champion responsible, auditable AI - particularly important in a regulated financial services environment where precision and explainability are non-negotiable</li><li>
Encourage and model the use of AI-assisted development tools within your team, and be actively curious about how automated coding and workflow tools can increase the pace and quality of your team's output</li></ul> 
Stakeholder Partnership<ul><li>
Work closely with data, product, commercial and engineering leads to translate strategic priorities into well-scoped work</li><li>
Represent your team's work and capability to senior stakeholders, building confidence in what the team delivers and how it operates</li><li>
Help shape platform direction by feeding back requirements from applied ML delivery</li></ul> 
What we'd like to see from you:
The Essentials<ul><li>
Experience leading engineering teams focused on machine learning, ML platforms and AI systems</li><li>
Proven track record deploying and managing ML and AI systems in production at scale - including real-time inference, batch data products, and LLM-based solutions</li><li>
Strong Python and ML and AI engineering fundamentals - sufficient to assess your team's work and contribute directly when needed</li><li>
Understanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD)</li><li>
Clear communication: able to make technical work legible to commercial and product audiences</li><li>
Experience working in agile environments with clear accountability to delivery</li><li>
A degree in a quantitative discipline, or equivalent experience with production ML and AI systems - we are interested in what you can do, not where you studied</li></ul> 
Highly Valued<ul><li>
Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain</li><li>
Familiarity with multi-step AI patterns - building systems where models plan, retrieve information, and take sequences of actions</li><li>
Understanding of experimentation at scale and the infrastructure needed to run it well</li><li>
Experience building or managing internal ML platforms, experimentation frameworks, or feature stores</li><li>
Interest in responsible AI and model governance practices</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 Engineering Manager

<div>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>Work on emerging AI and LLM-powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value 
<li>
</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>Contribute to shared tools and libraries that accelerate safe, efficient, and scalable ML development 
<li>
</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>Participate in architecture and design discussions, raising considerations around scalability, reliability, and system interactions 
<li>
</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>Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems 
<li>
</li></ul>What we'd like to see from you:
The Essentials
<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>Good collaboration and communication skills, with an ability to work effectively across data science, engineering, and product teams 
<li>
</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>Interest in responsible AI and ML model governance 
<li>
</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

<div>Data Science Manager
Function: Data &amp; AI Solutions
 
Location: Hybrid, London or Peterborough 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 at an inflection point. We are shifting from a business that answers data questions to one that builds the intelligence powering our AI systems and platform.
As a Data Science Manager in our Data &amp; AI Solutions team, you will lead a team building the models and pipelines that sit at the heart of that platform. Depending on the domain, that might mean understanding in near real-time how hundreds of insurance partners are pricing risk across millions of customer segments, predicting which of our 34 million customers is about to need a better deal, or building the models that power personalisation in our app. These are problems where the answer does not exist in the data yet; your team builds the systems to find it.
You will set technical direction, develop your team, and work closely with product, commercial, and engineering colleagues to ensure the intelligence your team builds has a real effect on the business. 
Some of the great things you'll be doing:
Building Intelligence for Our AI Platform
<ul><li>Lead your team in building predictive systems that run continuously - always-on models that surface signals and feed our AI platform
</li><li>Design and oversee automated workflows that take model outputs through to decisions and actions
</li><li>Shape how your team approaches AI-powered systems, including where LLMs, retrieval-augmented generation, and multi-step AI patterns add value
</li><li>Ensure every model your team ships connects to a real outcome and has a mechanism to improve over time
</li></ul>Technical Leadership
<ul><li>Set the standard for modelling quality, reproducibility and production-readiness across your team - including model monitoring, drift detection and retraining cycles
</li><li>Take ownership of model performance in production: knowing when a system is degrading and having a plan to address it
</li><li>Be hands-on in design sessions, code reviews, and architectural decisions where your input matters
</li><li>Guide your team through a fast-moving tooling landscape: knowing when a classical model is the right call, when an LLM adds value, and when a more orchestrated approach is needed
</li><li>Champion responsible, auditable AI - particularly important in a regulated financial services environment where precision and explainability are non-negotiable
</li><li>Encourage and model the use of AI-assisted development tools within your team, and be actively curious about how automated coding and workflow tools can increase the pace and quality of your team's output
</li></ul>Stakeholder Partnership
<ul><li>Work closely with commercial, product, and engineering leads to translate strategic priorities into well-scoped data science work
</li><li>Present model outputs in terms of decisions and outcomes, and contribute a credible data science perspective to planning and prioritisation conversations
</li></ul>Growing Your Team
<ul><li>Develop your data scientists through regular feedback, technical mentorship, and honest career conversations
</li><li>Contribute to hiring, helping bring in people who combine technical rigour with curiosity and commercial awareness
</li>Contribute to standards and practices across the wider Data &amp; AI Solutions chapter 
<li>
</li></ul>What we'd like to see from you:
The Essentials
<ul><li>Experience leading data science teams and delivering ML solutions that run in production
</li><li>Strong Python and modelling fundamentals, sufficient to assess your team's work and contribute directly when needed
</li><li>A track record of taking models beyond the development environment and connecting them to decisions, workflows, or products with a measurable effect
</li><li>Direct experience of model production responsibilities: monitoring, degradation, retraining, and lifecycle management
</li><li>Clear communication; able to make technical work legible to commercial and product audiences
</li>Experience with MLflow, model registries, Databricks, or similar ML lifecycle and platform tooling 
<li>
</li></ul>Highly Valued
<ul><li>Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain
</li><li>Familiarity with multi-step AI patterns, building systems where models plan, retrieve information, and take sequences of actions
</li>Understanding of experimentation at scale and the infrastructure needed to run it well 
<li>
</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 Science Manager

<div>Senior Data Scientist
Function: Data &amp; AI Solutions 
Location: Hybrid, London or Peterborough 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 shifting from a business that answers data questions to one that builds the intelligence powering our AI platform - signals detected, decisions shaped, actions triggered.
As a Senior Data Scientist in Data &amp; AI Solutions, you will lead the design and build of models and pipelines at the heart of our AI platform - from understanding how hundreds of insurance partners price risk, to predicting which customers need a better deal, to powering personalisation. Your job is to build the systems that surface answers that don&rsquo;t yet exist in the data.
We want someone who thinks in systems, with curiosity across the modern data science stack and depth in at least one area. We are actively developing agentic AI and want a Senior Data Scientist ready to deepen their expertise and contribute from a specific angle.
You will lead by doing, raising the bar for those around you and working closely with ML engineering, product, and commercial colleagues. 
Some of the great things you'll be doing:<ul><li>
Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers on productionisation</li><li>
Translate business and customer problems into structured, measurable ML solutions</li><li>
Design and interpret experiments and A/B tests with scientific rigour</li><li>
Champion responsible, auditable AI - owning model performance in production, knowing when a system is degrading and how to address it, in a regulated financial services environment where precision and explainability matter</li><li>
Navigate the tooling landscape: knowing when classical ML is right, when an LLM adds value, when an agentic approach is needed</li><li>
Work with commercial, product, and engineering colleagues to scope and prioritise work, communicating outcomes clearly</li><li>
Mentor junior data scientists and contribute to standards across the wider Data &amp; AI Solutions chapter</li></ul> 
What we'd like to see from you:
The Essentials<ul><li>
Proven experience delivering ML solutions with measurable business impact</li><li>
Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering</li><li>
A track record of taking models to production and owning their performance: monitoring, degradation, retraining</li><li>
Ability to collaborate effectively with engineering teams on deployment and ML lifecycle</li><li>
Clear communication - able to make technical work legible to commercial and product audiences</li></ul> 
Highly Valued<ul><li>
Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangChain or LangGraph</li><li>
Familiarity with multi-step agentic AI patterns</li><li>
Experience in financial services or another regulated sector</li><li>
MLflow, model registries, or similar ML lifecycle tooling</li><li>
Exposure to cloud ML platforms - GCP Vertex AI, AWS SageMaker, or equivalent</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>

Senior Data Scientist

Join Compare The Market and explore 9   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

Engineering Manager

Engineering Manager

Senior Machine Learning Engineer - Customer AI

Machine Learning Engineering Manager

Machine Learning Engineer

Data Science Manager

Senior Data Scientist