Head of Machine Learning

Company:  trg.recruitment
Location: London
Closing Date: 02/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Title: Head of ML Type: Permanent Salary: Up to £120k base salary + benefits package Location: London (Hybrid) The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. We're working with a rapidly growing SaaS company leveraging cutting-edge ML and AI. Join us and lead an innovative team building game-changing products! You will: Build and Lead a High-Performing Data Science Team: Recruit, develop, and mentor a team of machine learning engineers to deliver cutting-edge ML solutions. Foster a culture of innovation, collaboration, and continuous learning. Drive Data-Driven Innovation: Define the data science strategy, identify opportunities for AI/ML to drive business growth, and translate complex technical concepts into actionable business insights. Develop and Scale ML Capabilities: Oversee the development and deployment of robust ML pipelines, including fraud detection and risk assessment models. Establish MLOps Excellence: Architect and implement efficient MLOps pipelines to streamline model development, deployment, and monitoring, ensuring model performance and reliability. Collaborate Across the Organisation: Partner with cross-functional teams to understand business needs, translate requirements into technical solutions, and communicate data-driven insights effectively. We're Looking For: Proven Leadership: Demonstrated experience leading and growing high-performing data science teams, with a track record of delivering impactful ML solutions. Deep ML Expertise: Strong foundation in machine learning techniques and a passion for staying up-to-date with the latest advancements in the field. MLOps Mastery: Proven ability to build and scale MLOps platforms, leveraging CI/CD, containerisation, and cloud technologies. Technical Proficiency: Hands-on experience with Python, ML frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (AWS, Azure, GCP). If this sounds like you and you'd like to find out more, apply below with your up-to-date CV, or reach out to Bryn Edwards at trg.
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