Women in Machine Learning

Mark your calendar! Join us next Tuesday for our Mentorship Virtual Partner Recruiting event. Don't miss out and register today! If you want to include your resume in the resume book, please fill out this Google Form:?https://lnkd.in/ew4jdkJp RSVP Now: https://lu.ma/p0pto6pn

We had a fantastic time hosting our annual Data Science Careers Fair this week here at the University of Leeds! It was brilliant to see so many students from across the university engaging with industry experts from the public and private sectors, including food, retail, finance, civil service, consultancy, data and tech firms. A big thank you to all of our colleagues, partners, exhibitors and speakers for making it such a success, to name a few... Google, KPMG, NHS England, The Data City, Morrisons, Answer Digital, DWP Digital, GEOLYTIX, West Yorkshire Pension Fund, Ligentia, Women in Machine Learning and IDEA The Ethics Centre. To register your interest as a partner for the Spring 2026 event, complete this form and a member of the team will be in touch to discuss further ?? https://lnkd.in/e4t7AHz6

Have you registered for this powerful webinar on March 27th? Join us for an inspiring discussion with leading women in ML/AI as they share their experiences, explore the impact of bias in AI, and discuss ways to foster greater representation and support for women in the field. #WiML

WiML invites you to the second event in our recruiting series! Join us on?Tuesday, March 25th, 2025, for a?Technical Spotlight?featuring cutting-edge projects, groundbreaking research, and exciting open roles at WiML Corporate Partner organizations. ?What’s in it for you? ? -Deep Dive into Innovation:?Explore the latest technical achievements, research breakthroughs, and real-world applications from leading ML organizations. - Meet the Experts:?Gain insights directly from?researchers, engineers, and product managers?shaping the future of ML. ?- Exciting Career Opportunities:?Learn about specific technical roles and how you can contribute to transformative projects. - Interactive Breakout Sessions:?Engage in discussions, ask questions, and network with hiring teams. RSVP now: https://lu.ma/p0pto6pn Explore WiML Corporate Partners:?https://lnkd.in/dN-BHqBH #WiML #MachineLearning #AI #Careers #Networking

That’s a wrap on the LIDA Data Science Careers Fair 2025! ?? We had an incredible time connecting with attendees, sharing insights about our programs, and sparking meaningful conversations. The enthusiasm and engagement were truly inspiring! Here’s a quick snap from the event. #LIDA #DataScience #CareersFair2025

Had an amazing time helping to organize and participating in the Khipu AI Women in AI Mentorship Roundtables & Lunch, endorsed by Women in Machine Learning ??

? What an Insightful WiML Virtual Recruiting Event! ? Thank you to everyone who joined us for the "WiML Virtual Recruiting Event – Culture, Values & Opportunities", it was an inspiring session filled with meaningful discussions about workplace culture, values, and career pathways in ML. A special shoutout to our amazing WiML Corporate Partners and their representatives for sharing valuable insights and opportunities: today we heard from (Brittany Clarke and Ingrid Beerer), Google Google DeepMind (Rachel Dean and Claudia Pope), D. E. Shaw Research (Jane Chen). Your contributions made this event truly impactful. ?? Some Takeaways for Job Seekers: ? Showcase Leadership & Extracurriculars: Employers value collaboration and initiative beyond technical skills. ? Craft a Clear & Compelling CV: Include a link to your personal page and project portfolio. ? Be Proactive: Set up job alerts and express interest—even if the perfect role isn’t open yet. Opportunities arise! ? Make Your Resume Stand Out: Add a personal touch to highlight your unique strengths. ? Do Your Research: Understand company cultures and available opportunities to tailor your applications. This was just the first of our two-part series—stay tuned for our upcoming Technical Spotlight event on March 25th where we’ll dive deeper into cutting-edge projects, innovations, and open technical roles. ?? Missed this session? Don’t worry! You can still explore career opportunities with our WiML Partners: https://lnkd.in/dN-BHqBH #WiML #MachineLearning #AI #Careers #Networking #WomenInML #ThankYou

?? WiML Virtual Recruiting Event with Partners – Culture, Values & Opportunities ?? WiML invites you to a Virtual Recruiting Event with our WiML Corporate Partners! Join us on Friday, March 14th, 2025, at 9 AM PST / 12 PM EST / 4 PM GMT to explore exciting career opportunities in ML. What to expect ? Company Culture & Values: Hear from representatives of top ML organizations about their workplace culture, values, and initiatives. ? Career Pathways: Learn about career opportunities and growth trajectories for ML talent at all levels. ? Interactive Breakout Sessions: Connect directly with WiML Partners, ask questions, and explore open roles. This is the first of two events—don’t miss this chance to network with leading organizations shaping the future of ML! ?? RSVP now: https://lu.ma/5zbl9wxk ?? Explore WiML Corporate Partners: https://lnkd.in/dN-BHqBH #WiML #MachineLearning #ML #AI #Careers #Networking #Recruiting

Elevating Women in AI! We’re thrilled to see the impact of the?Mujeres en Inteligencia Artificial (Women in AI) Social Event, featuring incredible speakers and fostering meaningful discussions on AI and research career paths. At?Women in Machine Learning (WiML), we’re proud to support initiatives that create?inclusive, empowering spacesfor women in AI and machine learning. Together, we continue to shape the future of AI!

We couldn’t let this opportunity pass without highlighting an incredible event that Tatjana Chavdarova co-hosted as part of Women in Machine Learning (WiML), an initiative we proudly support! ??? Last week, Tatjana helped bring together brilliant minds at the?Women in ML-Theory Dinner, co-located with the?36th International Conference on Algorithmic Learning Theory in Milan, Italy. The event fostered meaningful discussions, networking, and collaboration in the field of machine learning theory. https://lu.ma/y1kju2er