Salary 100,000 - 100,000 GBP per year
Requirements:
- - Proficient in JVM languages (Java/Kotlin) and Python
- Experienced in NLP, ML-Ops, and data pipelines
- Skilled with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
- Strong grasp of ML algorithms, statistical techniques, and data analysis
- Expertise in data processing, feature engineering, and model evaluation
- Experienced with cloud platforms (AWS, Google Cloud) and tools like Amazon SageMaker and Jupyter Notebooks
- Familiar with model servers (Triton Inference Server)
- Background in AI/ML-based analytics for FinTech/RegTech
- Knowledgeable in microservices and event-driven architecture
- Experienced with Kafka, RDBMS (MySQL, Postgres), and building scalable ML applications
- Proficient with container platforms (Docker, Helm, Kubernetes) and CI/CD tools (Bamboo, Argo CD)
- Skilled in monitoring tools (Prometheus, Grafana) and API design for distributed systems
Responsibilities:
- - Lead the implementation of advanced analytics to deliver communications intelligence and actionable insights within our FinTech and RegTech product portfolio
- Work within a cross-functional agile team, collaborating with product managers, data scientists, and other stakeholders to deliver secure, high-quality SaaS products
- Ensure efficient operation of enterprise-grade machine learning at scale
- Develop and maintain the ML infrastructure, tools, and analytics that power intelligent applications
- Collaborate with cross-functional teams to design and integrate solutions for complex challenges
- Serve as a subject-matter expert in machine learning, FinTech, and RegTech, providing technical leadership and guidance
- Assess various solutions and recommend the best approach
- Work with Product Management and engineering to deliver scalable, high-quality features
- Simplify complex technical solutions into clear abstractions
- Influence product designs and collaborate with Principal Engineers/Product Managers
- Troubleshoot and resolve bugs, performance, security, and scalability issues
- Participate in incident management and implement proactive fixes
- Manage tasks using tools like JIRA and engage in code reviews for continuous improvement
- Promote best practices, mentor team members, and contribute to agile ceremonies
- Perform additional duties as needed
Technologies:
- API
- AWS
- Bamboo
- CI/CD
- Cloud
- Docker
- Grafana
- Helm
- Support
- JIRA
- JVM
- Jupyter
- Java
- Kafka
- Kotlin
- Kubernetes
- Machine Learning
- MySQL
- Prometheus
- PyTorch
- Python
- Security
- TensorFlow
- microservices
More:
We are excited to hire a Lead Machine Learning Engineer to join our forward-thinking team at Ocho, a company committed to connecting talented professionals with leading tech organizations. This role offers a competitive salary of £130,000 to £150,000 per annum, along with bonus and stock options tied to performance and commitment. You will have the opportunity to work with cutting-edge technologies in a globally recognized software company and benefit from generous parental leave schemes, a workplace pension, a flexible holiday package, private medical and dental plans, life assurance, income protection, employee assistance programs, monthly wellness allowance, adoption assistance, and stock options. If you believe you are well-suited for this role, we encourage you to apply!