Darwin Recruitment is an international recruitment business, specialising in all things Digital & Data. Over the past 16 years we've developed a solid recruitment strategy, resulting in substantial growth worldwide. We believe we provide the best working environment for our staff, as well as an unrivalled level of service to our clients and candidates. As a result of our continuous growth and success, we now have offices in the UK, Amsterdam, Boston, Munich and Zurich with plans to open offices in Scandinavia and Eastern Europe to further expand our global presence.

Darwin Recruitment Lausanne, VD, Switzerland
22/06/2019
Full time
Lead Data Scientist - AI, Machine Learning, Deep Learning, Remote Sensing, Lausanne One of our leading customers in Lausanne is looking for a Lead Data Scientist to manage and develop the Data Science team of 7 people. This business uses state-of-the-art remote sensing applications and technology to provide agricultural knowledge to increase the efficiency and sustainability of farming throughout the world. In this role, you would have the chance to lead the team responsible for the exploration and development of AI, Machine Learning, Deep Learning for remote sensing applications. Working alongside various areas of the business and stakeholders, you would manage delivery and methodology adoption of Data Science processes and projects. This role would allow you to remain hands-on but also to lead a small team; basically acting as the go-to person in the business for everything related to Data Science. Our customer is looking for someone for this important position who has experience of either leading or managing a team focused on Data Science. You should have strong experience and knowledge of statistical analysis, machine learning and deep learning; building innovative solutions. It's important the successful applicant has the ability to take a strategic view on Data Science and remote sensing; and understands how to reach goals and targets as a team. Experience in remote sensing would be huge advantage for this role but is not essential. If you feel your experience is a good match for this role and would like to work with a great team of scientists and engineers, please apply by sending your CV and we'll arrange a call to discuss further
Darwin Recruitment Lausanne, Switzerland
22/04/2019
Full time
One of our leading customers in the Lausanne area is looking for an experienced Machine Learning Engineer to join their AI team. This business works with a range of companies to help create highly productive digital workplaces. Through a unique combination of real-time analytics they greatly improve digital employee experience. In this role, you would be responsible for exploring and prototyping new product features as well as solving a range of machine learning engineering problems. You would be managing the process of releasing an AI-driven product feature as well as developing and expanding the codebase for AI experiments in Python. My customer is ideally looking for someone who has strong experience in applied machine learning in Big Data environments. You would need to have a good programming background in Python with Java or C++ being an advantage. Strong experience with time-series analysis and modern machine learning stacks in Python (scikit, keras or pytorch) is also needed. Any experience or knowledge in cloud environments, docker or kubernetes is a big plus too. If you are interested in this role and would like to work for an innovative, growing business, please apply as soon as possible and we shall arrange a call at a suitable time to discuss further.
Darwin Recruitment Z├╝rich, Switzerland
22/04/2019
Full time
This is a great opportunity for a Machine Learning Engineer to have a real impact on a growing online business based in Zurich, using technology and product innovation. This innovative business is looking for someone to join their R&D team where you could work on complex NLP problems. In this role, you would work on the conception, design and implementation of ML and AI solutions and end-to-end systems. You would also work on the designing and implementation of data aquisition, transformation, augmentation and visualization pipelines. The business is looking for someone with strong experience in ML technologies related to NLP for a range of tasks including Named Entity Recognition, Classification, Text Similarity and Predictive Modelling. Hands on ML tool-kits are important (Tensorflow, Keras, Pytorch) and programming experience (Java, Python, Golang, C++). If you have the required experience for this role and would like to hear more, please apply and we'll be in contact soon to arrange an initial call.