Source Job

• Lead a high-calibre ML team to shape Borrowing's ML roadmap across UK growth, new customer segments, and EU expansion.
• Improve underwriting, pricing, limits, and lifecycle decisioning through faster model iteration and new data sources.
• Partner with leaders across Credit Strategy, Product, Engineering, and Data to drive commercial impact and long-term strategic advantage.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions. As a rapidly growing fintech with a strong UK presence, we foster an inclusive culture focused on innovation and customer delight.

• Set the technical strategy for your team, tying together critical projects across repayment, collections, recovery, and loss mitigation.
• Act as a force-multiplier by defining and advocating technical solutions and operational processes.
• Collaborate with product management, design, analytics, and risk to ensure technical sustainability and manage trade-offs.

Affirm is reinventing credit to make it more honest and friendly, giving consumers flexibility to buy now and pay later without hidden fees. The company is remote-first with a focus on people-first culture and offers competitive benefits.

• Build and maintain backend services, Python libraries, and model lifecycle tooling for internal ML teams.
• Design and operate distributed systems for model serving, evaluation, and feature engineering.
• Focus on developer experience and reliability to help teams train, deploy, and serve ML models safely.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more through a modern digital banking platform. With around 600 engineers out of roughly 5,000 employees, we value flexibility, collaboration, and open source contributions.

• Build advanced machine learning models to detect and prevent financial crime, reducing fraud and scams.
• Work cross-functionally with product managers, data scientists, and engineers in an agile environment.
• Provide technical leadership and mentorship to drive up standards in machine learning practices.

Monzo is on a mission to make money work for everyone by offering personal and business bank accounts, savings, investments, and credit cards in the UK. With over 25 people in the Financial Crime Data team, we foster a culture of innovation and inclusivity.

• Design and operate core AI platform components for training, deploying, and serving ML models at scale.
• Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
• Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.

Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.

• Investigate novel techniques combining class leading heuristics with optimization and ML.
• Translate real world Supply Chain Management use cases into mathematical models.
• Lead the design and implementation of mathematical models and ML systems.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide, they foster a culture of innovation, collaboration, and social responsibility.

• Lead Data + ML Platform strategy and execution, including MLOps and data engineering.
• Build and scale the engineering team, coaching engineers and fostering a culture of ownership.
• Partner cross-functionally with Product, Hardware, and Data Science to drive technical direction and business outcomes.

Inspiren offers the most complete and connected ecosystem in senior living, founded by a former Green Beret turned cardiothoracic nurse. The company is building an integrated platform with smart sensors and analytics to improve care outcomes.

• Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
• Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
• Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.

WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.

• Analyse datasets to identify patterns and trends related to service performance.
• Collaborate with Operations, Product, and Risk teams to deliver accurate service insights.
• Manage real-time customer demand and staffing to optimise service delivery.

Monzo is a UK-based digital bank on a mission to make money work for everyone. With thousands of employees, they value diversity and inclusion while delivering award-winning customer service and innovative financial products.

• Build and operate the real-time inference service for the risk decision engine with low latency and high availability.
• Own model deployment infrastructure including CI/CD, shadow mode, and staged rollouts.
• Build model observability and partner with Risk Data Science for production operation.

Mercury is a fintech company that provides banking services for startups via partner banks. The company is committed to creating a safe environment and values diversity, with a growing team focused on innovation.

• Develop and improve accurate and robust energy forecasting models and control algorithms.
• Design, write, test, and deploy production-grade code for mission-critical forecasting products.
• Translate large distributed energy datasets into actionable insights for utilities and stakeholders.

EnergyHub empowers utilities and their customers to create a clean, distributed energy future by turning smart devices into virtual power plants. The company offers a collaborative culture with a generous benefits package and is an Equal Opportunity Employer.

• Design and build systems that improve the efficiency of ML training and inference workloads.
• Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
• Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.

Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, Reddit is one of the internet's largest sources of information.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
• Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
• Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.

Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.

• Set technical direction for core replenishment R&D and align it with product and business strategy.
• Model complex problems such as inventory decay and demand forecasting, driving changes from research through production.
• Lead research and development for new challenges and mentor scientists and engineers.

Afresh is an AI platform for grocery, empowering partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their enterprise. With over 200 million pounds of food waste prevented last year and a 70% revenue growth in 2025, it has scaled to 6 enterprise-grade solutions covering over 10% of the U.S. grocery market.