About EDITED
Transforming retail data into actionable insights
Key Highlights
- Raised $50M from Delta-v Capital in 2023
- Strong client base including John Lewis & Tommy Hilfiger
- Headquartered in Farringdon, London, UK
- 101-200 employees with a focus on tech and analytics
EDITED is a leading retail intelligence platform headquartered in Farringdon, London, UK, specializing in transforming data into actionable insights for the fashion industry. With a strong client roster that includes John Lewis and Tommy Hilfiger, EDITED has raised $50 million in funding from Delta-...
🎁 Benefits
EDITED offers flexible working hours, a hybrid work model with a minimum of 2 days in the office, and 25 days of annual PTO plus an additional day for...
🌟 Culture
EDITED fosters a culture that prioritizes data-driven decision-making in the fashion industry, leveraging its founders' expertise in both fashion and ...
Skills & Technologies
Overview
EDITED is hiring a Staff Machine Learning Engineer to lead their AI strategy and build complex, production-ready AI systems. You'll work with technologies like Python, TensorFlow, and PyTorch in the London office with hybrid working options.
Job Description
Who you are
You have extensive experience in machine learning and AI, with a strong background in Python and relevant frameworks such as TensorFlow and PyTorch. You are adept at managing the entire ML lifecycle, from data exploration to deployment, and have a solid understanding of MLOps practices. Your ability to bridge the gap between research and production makes you a valuable asset to any team.
You thrive in collaborative environments and enjoy working with cross-functional teams to drive innovation. Your problem-solving skills are complemented by a keen attention to detail, ensuring that the models you build are not only effective but also scalable. You are committed to continuous learning and growth, always seeking to improve your skills and knowledge in the rapidly evolving field of AI.
What you'll do
As a Staff Machine Learning Engineer at EDITED, you will take ownership of the machine learning lifecycle, leading projects that develop complex AI agents and scalable systems. You will collaborate closely with data scientists and engineers to design and implement robust MLOps pipelines that ensure optimal model performance. Your role will involve prototyping new models and transitioning them into production-ready solutions that drive real business outcomes.
You will also be responsible for mentoring junior engineers, sharing your expertise, and fostering a culture of innovation within the team. Your contributions will directly impact the company's AI strategy, helping to empower retailers with actionable insights and data-driven decision-making capabilities. You will work in a dynamic and inclusive environment that values creativity and collaboration, allowing you to thrive and make a significant impact.
What we offer
EDITED provides a flexible working environment, including hybrid working options and a commitment to work-life balance. You will be part of a supportive team that encourages initiative and innovation, with opportunities for professional growth and development. We value diversity and strive to create a workplace where everyone's voice is heard and contributions are recognized. Join us in shaping the future of retail intelligence through AI.
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