Lead Machine Learning Engineer

Lead ML Engineer

Hybrid

Fulltime

Hayward Hawk are currently recruiting for a Lead ML Engineer for their industry leading client.

This is a very exciting opportunity to play a pivotal part in driving the implementation of advanced analytics.

The Role:

• Serve as a subject-matter expert in machine learning, fintech, and RegTech, providing strategic technical insights and guidance to internal teams and external stakeholders.
• Participate in troubleshooting and managing production incidents, using root-cause analysis to recognize issue patterns and implement proactive solutions.
• Engage in agile ceremonies and foster continuous improvement through constructive feedback in code reviews, both internally and externally.
• Mentor and support team members, encouraging skill development and best practices across teams.
• Partner closely with Product Management and Engineering to define and deliver high-quality, scalable, and maintainable features in a fast-paced environment.
• Utilize tools like JIRA to effectively manage tasks through their life cycle and prioritize project workflows.
• Develop advanced solutions by collaborating with cross-functional teams, integrating multiple software products to address complex challenges.
• Break down intricate technical concepts into simple, practical abstractions that are easy for others to understand.
• Actively troubleshoot and resolve critical issues, including performance, security, and scalability challenges.
• Influence design processes by collaborating with Principal Engineers and Product Managers, ensuring alignment with business goals and technical requirements.
• Take the lead on establishing, promoting, and maintaining best practices to drive consistency and excellence within the team.

Requirements:

• Proficient in Java with additional experience in Python.
• Extensive experience in building AI/ML-based analytics products for the FinTech and RegTech sectors.
• Expertise in Natural Language Processing (NLP), ML-Ops, and data pipeline management.
• Hands-on experience with ML frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn.
• In-depth understanding of machine learning algorithms, statistical techniques, and data analysis methods.
• Strong skills in data processing, feature engineering, and model evaluation.
• Skilled in cloud platforms, especially Amazon Web Services (AWS) and Google Cloud.
• Experienced in working with model serving technologies like Triton Inference Server.
• Knowledgeable in containerized environments, including Docker, Helm, and Kubernetes.
• Experience in developing scalable ML applications and services on the cloud.
• Proficient in microservices and event-driven architectures.
• Familiar with Kafka, relational databases (RDBMS) like MySQL and PostgreSQL.
• Skilled in API design and development for robust system integration.
• Proficient in continuous integration and deployment (CI/CD) tools, including Bamboo and Argo CD.
• Experienced in Prometheus and Grafana for monitoring and observability.
• Skilled in using Amazon SageMaker and Jupyter Notebooks for model development and experimentation.
• Proficient in working with distributed systems and large-scale data processing.

For further information on this role, or any other roles in Belfast, Dublin or across the UK, please apply via the link below or contact Katie Doyle in the strictest confidence.