Machine Learning Engineer

We are seeking a technically strong Machine Learning Engineer to develop and operationalize data-driven and AI-driven solutions. The role requires hands-on engineering capability across model development, data pipelines, and production deployment, with the ability to work in cross-functional teams and deliver reliable ML systems at scale.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical field
• Strong programming skills in Python and familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and GenAI APIs/tools
• Understanding of supervised/unsupervised learning, model evaluation, and statistical concepts
• Hands-on experience with SQL and data manipulation
• Familiarity with Git, APIs, and containerization concepts (Docker is a plus)
• Good communication skills and willingness to learn from senior team members

Benefits

• Competitive salary
• Core bank funding for retirement savings
• Medical and life insurance
• Flexible and voluntary benefits available in some locations
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days)
• Minimum global standards for annual and public holiday, which is combined to 30 days minimum
• Flexible working options based around home and office locations, with flexible working patterns
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform
• Development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning
• Being part of an inclusive and values driven organisation