Machine Learning Architect

Machine Learning Architect

Location: Northern Ireland
Salary: £120,000 - £130,000 per annum + Bonus + Stock Options

Company Overview: VANRATH are partnering with a prominent global software company in the search for a skilled Architect with expertise in Machine Learning principles. This is a unique opportunity to join a dynamic team that leverages cutting-edge technologies and is at the forefront of innovation. The role is based in Northern Ireland.

Role Overview: As an Architect, you will be a key contributor to the design and implementation of software solutions, particularly focusing on Machine Learning principles. The ideal candidate will bring experience in Cloud technologies, CI/CD, Docker, Kubernetes, and proficiency in modern development languages, including Python. This role offers a competitive salary, along with bonus and stock options.

Key Responsibilities:

• Design and architect software solutions, with a focus on integrating Machine Learning principles.
• Utilize expertise in Cloud technologies, CI/CD, Docker, and Kubernetes.
• Lead the delivery of new features using modern development languages, including Python.
• Collaborate with cross-functional teams to ensure the successful implementation of software projects.
• Stay updated on industry trends and advancements, bringing innovative solutions to the team.

Requirements:

• Proven experience as a Software Architect with a strong focus on Machine Learning.
• Expertise in Cloud technologies, CI/CD, Docker, and Kubernetes.
• Proficiency in modern development languages, with a strong emphasis on Python.
• Demonstrated ability to design scalable and efficient software architectures.
• Excellent communication and collaboration skills.

Benefits:

• Competitive salary, ranging from £110,000 to £130,000 per annum.
• Bonus and stock options for performance and commitment.
• Opportunity to work with cutting-edge technologies in a global software company.

For more information on this or other roles in the ML or Data space, contact Ryan McQuitty in the strictest confidence.