AgileGrid Solutions
Senior ML Engineer
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About The Company
Monzo is a forward-thinking financial technology company dedicated to redefining banking experiences through innovative technology and customer-centric solutions. Headquartered in London with a growing presence in Cardiff and offering remote opportunities across the UK, Monzo leverages cutting-edge advancements in machine learning, data analysis, and digital banking to provide seamless, transparent, and personalized financial services. Our mission is to make banking simple, fair, and accessible for everyone, fostering a community-driven approach that prioritizes customer needs and technological excellence.
About The Role
We are seeking a talented Machine Learning Engineer to join our expanding ML Ops team. This role offers an exciting opportunity to work at the forefront of artificial intelligence and machine learning, focusing on transforming customer support through the deployment of state-of-the-art models, including large language models (LLMs). You will be instrumental in developing, deploying, and maintaining scalable ML solutions that enhance our customer service capabilities. Working closely with data scientists, backend, mobile, and web engineers, as well as product managers and operations specialists, you will contribute to building robust, production-grade ML systems that understand customer issues and efficiently route them across our global user base. The ideal candidate is passionate about innovative AI applications, has a strong technical background, and thrives in a collaborative environment where continuous learning and improvement are valued.
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Qualifications
- Proven experience in machine learning, data science, or AI engineering, with a focus on deploying ML models in production environments.
- Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow, PyTorch, or similar.
- Hands-on experience with ML Ops tools and pipelines, including model deployment, monitoring, and maintenance.
- Knowledge of large language models (LLMs) and experience integrating them into real-world applications.
- Understanding of cloud platforms such as AWS, GCP, or Azure for scalable ML deployment.
- Excellent problem-solving skills and the ability to work collaboratively across multidisciplinary teams.
- Degree in Computer Science, Data Science, Engineering, or a related field; advanced degrees are a plus.
Responsibilities
- Design, develop, and deploy scalable machine learning models to enhance customer support operations.
- Collaborate closely with data scientists to translate research prototypes into production-ready solutions.
- Implement and maintain ML pipelines, ensuring models are monitored, updated, and optimized for performance and accuracy.
- Integrate ML models with existing backend systems, ensuring seamless operation and user experience.
- Work with cross-functional teams to understand customer needs and translate them into technical requirements for ML solutions.
- Stay up-to-date with the latest advancements in machine learning, AI, and related technologies, applying them to improve our systems.
- Participate in code reviews, documentation, and knowledge sharing to promote best practices within the team.
- Support operational excellence by troubleshooting issues and implementing improvements in ML workflows.
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Benefits
At Monzo, we believe in supporting our employees' growth and well-being. We offer competitive salaries and comprehensive benefits packages, including health insurance, pension schemes, and generous paid time off. Our flexible working arrangements allow you to work remotely or from our offices in London or Cardiff, fostering a healthy work-life balance. You will have access to ongoing learning opportunities, conferences, and training programs to enhance your skills and career development. Additionally, you will be part of a dynamic, innovative team committed to making a meaningful impact in the financial technology space, with opportunities for career progression and leadership roles.
Equal Opportunity
Monzo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse teams drive innovation and better serve our customers, and we are dedicated to fostering a workplace where everyone can thrive and contribute to our mission of transforming banking.
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