Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job details We are looking for talented individuals with fresh perspectives and a deep curiosity to solve challenges to join our team As a Machine Learning Engineering Intern at Viridien AI Lab, you'll play a key role in advancing algorithms and models in areas such as document processing, satellite imagery analysis, and large language models (LLM). You will have the opportunity to work with a team of experienced engineers and data scientists to solve challenging problems and deliver high-impact solutions. The ideal candidate will have an enthusiastic attitude towards learning, and the flexibility to adapt to new challenges or changes in direction. Location Successful candidates will join our largest European centre, based in Crawley, a town next to London Gatwick Airport and just outside the M25 with excellent transport links to Central London and the South Coast. LI-Hybrid Application process Our aim is to inform every candidate of the result of their initial application within a week of applying and if successful invite them to the next stage which is a technical test and a first interview via MS Teams with a team. Successful candidates will be invited for a final interview with the hiring team, which can be either online or onsite. Please include a cover letter with your application. Note we do not accept re-applications. Qualifications Pursuing a PhD or MSc in Computer Science, Artificial Intelligence, Data Science, or related field. Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus. Skilled in object-oriented programming using Python. Familiar with PyTorch or other machine learning frameworks Excellent problem-solving skills Strong communication skills, both written and verbal Why work with us? Hands-on experience in high-impact machine learning projects. Mentorship from industry experts. A dynamic and inclusive work environment. Opportunities for professional growth and networking. Sponsorship of visas/comprehensive relocation packages We are Flexible Flexible Working – through our hybrid working scheme, we offer a flexible blend of home and office working Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice Relaxed dress code policy Learning and Development Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit specific needs our employees to aid personal growth in areas related to technical, commercial and personal skills, via an extensive suite of developed courses, managed through our own Learning Hub. We Care about the Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
