Machine Learning Architect

2 months ago

Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom Search 5.0 Full time
About the Role

We are seeking a highly skilled Principal Machine Learning Architect to lead the design and implementation of advanced machine learning systems. As a key member of our team, you will shape our ML strategy, ensuring solutions are scalable, reliable, and optimized for peak performance.

Key Responsibilities
  • Collaborate with diverse teams to design complex solutions and integrate various software systems to tackle high-level technical challenges.
  • Provide technical expertise in domains such as advanced analytics and regulatory technology, offering guidance and strategic advice to both internal teams and external partners.
  • Assess different solutions, weighing their trade-offs, and recommend the most effective approach.
  • Work closely with product and engineering teams to define and deliver features in a fast-paced environment, focusing on quality, scalability, and long-term sustainability.
  • Simplify complex technical challenges into clear and manageable components.
  • Offer guidance on product design and influence senior engineers and product leaders on critical decisions.
  • Identify and resolve complex bugs, performance bottlenecks, and security or scalability concerns.
  • Take an active role in troubleshooting and resolving production incidents, following established incident management processes.
  • Detect patterns in recurring issues and implement proactive solutions to address root causes.
  • Manage task workflows using project management tools.
  • Participate in peer code reviews, giving and receiving feedback to foster continuous improvement.
  • Support the establishment and continuous refinement of best practices.
  • Mentor and coach colleagues to help them grow professionally.
  • Contribute meaningfully in agile ceremonies, providing insights and suggestions for improvement.
Requirements
  • Proficiency with JVM language (Java/Kotlin) and experience in Python.
  • Experience in NLP, ML-Ops, and data pipelines.
  • Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn.
  • Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies.
  • Experience with Data processing, feature engineering, and model evaluation techniques.
  • Experience in cloud platforms like Amazon Web Services & Google Cloud.
  • Experience in microservices & event-driven architecture.
  • Exposure and experience in building ML applications/services with cloud scalability.
  • Experience in Kafka and RDBMS such as MySQL & Postgres.
  • Proficient in containerized platforms like Docker, Helm & Kubernetes.
  • Experience in CI/CD tools like Bamboo, Argo CD.
  • Experience in Prometheus & Grafana.
  • Proficient in API design.
  • Proficient in working with distributed systems.

We are a forward-thinking company that helps organisations navigate the complexities of digital communication and mitigate risks before they escalate. Serving a diverse range of clients in highly regulated industries, we provide innovative solutions across more than 80 communication channels to safeguard against compliance, legal, and reputational threats.

We have been recognised as a leader in our field by industry analysts and have seen impressive growth, consistently ranking among the fastest-growing companies in the U.S. for over a decade. With a commitment to staying at the forefront of innovation, we're now looking for top talent to continue driving our success.

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