Senior ML Backend Engineer
Remote
Job Summary
Build and evolve machine learning infrastructure that enables scalable development, deployment, and monitoring of advanced property intelligence models. Maintain and enhance shared training, evaluation, and deployment platforms while designing reliable, cost-effective pipelines and tooling. Partner with ML engineers and researchers to transition new modeling approaches from prototype to production, and develop automation, observability, and governance capabilities across ML systems. Evaluate and onboard new data sources and technologies to improve model performance and operational efficiency, ensuring solutions align with security, governance, and responsible AI requirements. Collaborate with software, product, and commercial teams to deliver scalable ML solutions that help organizations manage climate and economic risks.
Required Qualifications
- Experience designing, building, and maintaining machine learning infrastructure, platforms, and tooling that support large-scale model training, evaluation, and deployment
- Proficiency in Python and modern machine learning engineering tools, including deep learning frameworks, experiment tracking platforms, containerisation, version control, and automated workflows
- Experience with machine learning operations practices, including continuous integration and deployment, model monitoring, reproducibility, data lineage, and model governance
- Proven expertise working with cloud-native technologies, Kubernetes, distributed computing environments, and scalable infrastructure supporting machine learning workloads
- Strong analytical and problem-solving skills, with the ability to evaluate technical trade-offs, support model development teams, and communicate complex concepts to both technical and non-technical stakeholders
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using artificial intelligence tools, including coding assistants and large language model-based agents, to improve engineering productivity, automate workflows, and enhance operational efficiency
- Proven ability to implement artificial intelligence-powered solutions to solve business challenges, with a commitment to responsible and ethical AI practices, including model evaluation, governance, risk awareness, and documentation
- Senior backend engineers with a good understanding of ML
- Strong interest to go deeper on ML
Desired Qualifications
- PhD in a science, technology, engineering, or mathematics discipline preferred
- Master's degree with significant relevant industry experience
- Bachelor's degree with extensive hands-on industry experience
- Equivalent practical experience and non-traditional career paths
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.