Machine Learning Engineer at BGL Group

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, MLflow, Airflow, SageMaker, Vertex AI, CI/CD, Infrastructure Automation, Collaboration, Software Engineering, Model Deployment, Monitoring, Data Drift, MLOps, Model Governance, Responsible AI

Industry

Financial Services

Description

Location: Hybrid / London or Peterborough Team: Data & AI Why this role matters At Compare the Market, we’re applying AI to real-world problems that help millions of people make smarter financial decisions. As a Machine Learning Engineer, you’ll work at the heart of this transformation—building the infrastructure and tooling that enables our data scientists to move from prototype to production quickly, safely, and at scale. You’ll be part of a growing ML Engineering team, contributing to a modern MLOps platform and delivering robust ML services in collaboration with product, engineering, and data science colleagues. This is a hands-on role that’s ideal for someone who wants to grow in a high-impact environment with strong mentorship and real ownership. What you’ll be doing 🔍 ML Engineering & Deployment • Develop and maintain machine learning pipelines for training, validation, and deployment • Collaborate with data scientists to productionise models and turn prototypes into performant, reliable services • Contribute to deployment tooling and automation for both batch and real-time ML use cases • Build monitoring and alerting for model health, performance, and data drift 🛠 Platform & Standards • Support the evolution of our internal ML platform and development workflows • Apply best practices in testing, CI/CD, version control, and infrastructure-as-code • Contribute to team libraries, reusable components, and shared deployment patterns 🎯Collaboration & Growth • Work in cross-functional teams alongside product managers, engineers, and analysts • Participate in design sessions, peer reviews, and sprint planning • Learn from and be mentored by experienced ML Engineers and technical leaders What we’re looking for Must Have • Practical experience deploying ML models into production environments • Strong Python development skills and understanding of ML model structures • Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI • Understanding of CI/CD concepts and basic infrastructure automation • Ability to write well-tested, maintainable, and modular code • Strong collaboration skills and a growth mindset • A background in software engineering, computer science, or a quantitative field—or equivalent hands-on experience in ML delivery Nice to Have • Experience working in regulated sectors such as insurance, banking, or financial services • Exposure to Databricks, container orchestration (e.g. Kubernetes), or workflow engines (e.g. Argo, Airflow) • Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) • Interest in MLOps, model governance, and responsible AI practices • Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You’ll work on meaningful problems using modern tooling, surrounded by smart, supportive people. We’ll invest in your development, give you the space to grow, and the opportunity to shape how AI is delivered across Compare the Market. 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. #LI-HL1

Responsibilities

As a Machine Learning Engineer, you will develop and maintain machine learning pipelines and collaborate with data scientists to productionize models. You will also contribute to deployment tooling and automation for both batch and real-time ML use cases.