Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Machine Learning Engineer

Compare The Market Limited
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Platform)

Join to apply for the Senior Machine Learning Engineer role at Compare the Market

1 week ago Be among the first 25 applicants

Join to apply for the Senior Machine Learning Engineer role at Compare the Market

Location: Hybrid / London or Peterborough

Team: Data & AI

Why this role matters

At Compare the Market, we’re scaling our AI capabilities to power intelligent, personalised experiences that help millions make smarter financial decisions. As a Senior Machine Learning Engineer, you’ll play a critical role in enabling the deployment, monitoring, and scaling of production-grade ML systems—making sure that our AI ambitions are not only possible, but production-ready.

This role blends hands-on engineering with architectural design, experimentation support, and MLOps best practices. You’ll work closely with data scientists, platform engineers, and product teams to build the infrastructure and tooling that powers our most advanced models. You’ll also contribute to technical standards, advocate for scalable and responsible ML development, and help shape a high-performance ML Engineering function.

What You’ll Be Doing

 ML Engineering & Deployment

  • Own the end-to-end delivery of production ML 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, Airflow)
  • Contribute hands-on code to model packaging, deployment, and lifecycle automation
  • Build systems that monitor model performance, drift, and operational health in real time
  • Support both batch and real-time ML workloads depending on use case requirements


Platform & Standards

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


Collaboration & Technical Leadership

  • Work closely with data scientists to productionise experimental models and turn prototypes into robust services
  • Act as a technical mentor and code reviewer for other engineers and contributors
  • Provide architectural guidance across multiple ML projects and technical design sessions


Culture & Innovation

  • Contribute to a culture of engineering excellence, collaboration, and learning
  • Stay up to date on emerging tools and approaches in MLOps and applied AI
  • Support responsible AI practices by contributing to explainability, auditability, and fairness initiatives in ML systems


What We’re Looking For

Must Have

  • Strong experience deploying ML models into production in cloud-native environments
  • Solid software engineering skills in Python (and optionally one other language, such as Go or Java)
  • Experience with modern ML tooling (e.g. MLflow, TFX, Airflow, Kubeflow, SageMaker, Vertex AI)
  • Familiarity with CI/CD pipelines and infrastructure-as-code (e.g. Terraform, CloudFormation, GitHub Actions)
  • 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; able to work across disciplines


Nice to Have

  • Experience working in regulated sectors such as insurance, banking, or financial services
  • Familiarity with platforms such as Databricks, SageMaker, Vertex AI, or Kubeflow
  • Experience deploying real-time or streaming ML models (e.g. Kafka, Flink, Spark Structured Streaming)
  • Exposure to large language models (LLMs), vector databases, or RAG architectures
  • Passion for automation, tooling, and building reusable systems
  • Interest in responsible AI and ML model governance


Why Join Us?

You’ll be joining a modern, fast-growing ML Engineering team that’s powering real-world AI at scale. With the right tools, support, and technical autonomy, you’ll help shape how we turn experimental models into trusted systems that deliver impact across our platform.

Everyone Is Welcome

We’re committed to building a diverse and inclusive Data & AI team where everyone feels they belong. If this role excites you but you don’t meet every single requirement, we still encourage you to apply. We care about what you can do—not just where you’ve been.

Seniority level

  • Seniority levelNot Applicable

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Compare the Market by 2x

Get notified about new Senior Machine Learning Engineer jobs in London Area, United Kingdom.

London, England, United Kingdom 12 hours ago

Senior Machine Learning Engineer, Simulation

London, England, United Kingdom 1 day ago

Applied AI ML - Senior Associate - Machine Learning Engineer

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Senior Machine Learning Engineer - Pytorch & C++

London, England, United Kingdom £90,000.00-£100,000.00 1 month ago

London Area, United Kingdom £80,000.00-£100,000.00 13 hours ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

Senior Machine Learning Engineer, Perception

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

Senior Machine Learning Engineer, AI Infrastructure, Autonomy

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Engineer - up to £135k base plus equity

London, England, United Kingdom 1 week ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Engineer - Scientific AI

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

Senior Machine Learning Engineer - Outfit Recommendations

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Jobs

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.