6 of 6 MLOps Jobs in Belfast

or digital transformation • Certification in MS Azure or AWS Cloud data engineering or similar track • Understanding of the Software Development Life Cycle, Devops and MLOPS • Strong skills in one object orientated language • Excellent presentation skills • Understanding application of project mgmt. and agile methodologies What we look for We're interested More ❯

as well as in Belfast. For more information, visit DailyPay's Press Center. The Role: We are seeking a highly skilled and motivated Senior MLOps Engineer to join our growing team in Belfast. You will play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring … the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that … product, understanding the needs of our customers and partners, and maintaining DailyPay's leading role in the early wage access industry. As a staff MLOps Engineer, you will be instrumental in helping to realize this vision for DailyPay by enabling efficient and effective deployment and management of machine learning models. More ❯

mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit … learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working More ❯

Security & Privacy: Experience implementing AI security measures, including data anonymization, encryption, and access control. Cloud & Infrastructure: Knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices. Strong Programming Skills: Proficiency in Python, C#, or other relevant languages for AI development. API & Integration Experience: Experience with REST APIs, GraphQL, and … healthcare, legal, or other highly regulated industries. Familiarity with AI ethics frameworks (e.g., EU AI Act, NIST AI Risk Management Framework). Knowledge of MLOps, AIOps, and AI observability tools. Experience with vector databases and knowledge graph technologies. Certifications in AI ethics, cloud security, or compliance (e.g., CISSP, CISM, AI More ❯

Security & Privacy: Experience implementing AI security measures, including data anonymization, encryption, and access control. Cloud & Infrastructure: Knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices. Strong Programming Skills: Proficiency in Python, C#, or other relevant languages for AI development. API & Integration Experience: Experience with REST APIs, GraphQL, and … healthcare, legal, or other highly regulated industries. Familiarity with AI ethics frameworks (e.g., EU AI Act, NIST AI Risk Management Framework). Knowledge of MLOps, AIOps, and AI observability tools. Experience with vector databases and knowledge graph technologies. Certifications in AI ethics, cloud security, or compliance (e.g., CISSP, CISM, AI More ❯

across the business to turn AI innovation into meaningful, secure customer outcomes. You'll lead a high-caliber team of Data Scientists, AI Engineers, MLOps Engineers, and Software Engineers, with a strong foundation already in place and ready to scale globally. The team is responsible for production-level AI systems … maintaining a high bar for impact and reliability You will scale and manage a globally distributed team of top-tier Data Scientists, AI Engineers, MLOps Engineers and Software Engineers. You will help establish a culture of technical excellence, strategic thinking, and data-informed decision-making The skills you'll bring … experience driving AI/ML product development from research through to production deployment Deep understanding of the AI/ML lifecycle, including model development, MLOps, experimentation, and monitoring Experience partnering closely with Product, Engineering, and executive leadership to shape strategy and influence outcomes Strong background in managing risk, prioritizing initiatives More ❯