and readiness to adapt in a start-up style environment A focus on quality, reliability and continuous improvement Desirable but not essential: Understanding of MLOps concepts and workflows Experience with geospatial (GIS) data Background in agile development practices Familiarity with AWS and automation/testing tools Experience in CI/ More ❯
and readiness to adapt in a start-up style environment A focus on quality, reliability and continuous improvement Desirable but not essential: Understanding of MLOps concepts and workflows Experience with geospatial (GIS) data Background in agile development practices Familiarity with AWS and automation/testing tools Experience in CI/ More ❯
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 ❯
with managing GenAI/ML platforms and LLM-based services (e.g., OpenAI, Anthropic, Azure OpenAI, Hugging Face) Proven track record in implementing and scaling MLOps or LLMOps practices in a production environment Certifications in cloud platforms (e.g., Azure, AWS, GCP) and/or ITIL Service Management preferred Advanced coursework or … certifications in AI/ML, MLOps, or LLMOps is a strong plus Ongoing learning and participation in GenAI or platform operations communities is encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies Demonstrated 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 ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
ARC Regulatory
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 ❯
belfast, antrim, United Kingdom Hybrid / WFH Options
Oliver Bernard
Data/MLOps Engineer Hybrid Working - 2 days p/w in office (Manchester, M2 3JL) Pays £75k-£85k Data/MLOps Engineer - Python, SQL, AWS, Azure Oliver Bernard have partnered with a retail bank undergoing a data transformation. You'll be joining their core Data team and be responsible … for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Data/MLOps Engineer - Python, SQL, AWS, Azure Key Skills and Experience: Python SQL Tableau, PowerBI Terraform AWS, Azure This role is hybrid working from their offices in Manchester, M2 3JL (3 days p/… role. Budget is £75k-£85k + benefits including bonus. 2 stage interview process - 1st stage call with manager, final stage with team. Data/MLOps Engineer - Python, SQL, AWS, Azure 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 ❯