Machine Learning Architect

2 months ago


United Kingdom Search 5.0 Full time

Who They Are: Join 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, they provide innovative solutions across more than 80 communication channels to safeguard against compliance, legal, and reputational threats.

This company has been recognised as a leader in their field by industry analysts and has seen impressive growth, consistently ranking among the fastest-growing companies in the U.With a commitment to staying at the forefront of innovation, they’re now looking for top talent to continue driving their success.

They are seeking an experienced Principal Machine Learning Architect to lead the design and implementation of advanced machine learning systems. In this pivotal role, you’ll shape the company’s ML strategy, ensuring solutions are scalable, reliable, and optimized for peak performance.

If you’re passionate about machine learning, have experience deploying large-scale ML models, and enjoy leading transformative projects, this opportunity could be the perfect fit for you

Work with diverse teams to design complex solutions and integrate various software systems to tackle high-level technical challenges.
Serve as a technical expert in domains such as advanced analytics and regulatory technology, providing leadership, guidance, and strategic advice to both internal teams and external partners.
Collaborate with product and engineering teams to define and deliver features in a fast-paced environment, focusing on quality, scalability, and long-term sustainability.
Identify and resolve complex bugs, performance bottlenecks, and security or scalability concerns.
Manage task workflows using project management tools.
Mentor and coach colleagues to help them grow professionally.
Contribute meaningfully in agile ceremonies, providing insights and suggestions for improvement.

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
Exposure and experience in building ML applications/services with cloud scalability
Experience in Kafka and RDBMS such as MySQL & Postgres



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