Machine Learning Engineer at Harnham

Join our innovative team as a Machine Learning Engineer, where your expertise will drive the development of cutting-edge AI solutions. In this mid-level role, you will play a key part in transforming data into actionable insights, directly impacting strategic decisions across our organization. Your work will empower us to harness the full potential of artificial intelligence and machine learning. On a daily basis, you will leverage your skills in feature engineering, data preprocessing, and machine learning to build and optimize models using TensorFlow and PyTorch. Your familiarity with statistics and data analysis will be essential as you work with cloud platforms like AWS and Azure, ensuring seamless deployment and scalability of our solutions. Collaborating with cross-functional teams, you will tackle complex challenges and contribute to innovative projects that push the boundaries of technology. As part of a small, dynamic team, you will have ample opportunities for professional growth and development. We foster a collaborative environment that encourages creativity and supports continuous learning. You will work closely with experienced colleagues, gaining insights and mentorship that will enhance your skills and career trajectory. This role is unique as it combines the thrill of working with advanced technologies in a forward-thinking company, dedicated to revolutionizing the industry. If you are passionate about solving real-world problems through AI and eager to take on new challenges, we want to hear from you!

Design and implement advanced machine learning models using TensorFlow and PyTorch. Build efficient feature engineering pipelines to enhance data preprocessing and analysis. Lead the optimization of algorithms to improve model performance and scalability on AWS and Azure. Architect solutions that integrate machine learning into existing applications, meeting business goals. Drive data analysis initiatives, collaborating with stakeholders to define project requirements. Develop and maintain robust documentation for machine learning processes and methodologies.

Competitive salary with comprehensive health benefits, ensuring your well-being. Flexible health plans that cater to diverse needs, promoting a healthy lifestyle. Generous paid time off policy, encouraging work-life balance and personal time. Remote work options and flexible hours to accommodate your lifestyle and commitments. Access to training programs and workshops to foster professional growth and development. Opportunities for mentorship and collaboration with industry experts in AI/ML. Inclusive culture that values innovation and creativity in a supportive environment. Fun team-building events and perks that enhance workplace camaraderie.