Do you want to work in a role where you could be working on exciting projects such as forecasting customer behaviour, predicting fashion trends, or detecting fraud? Do you enjoy problem solving and feeling challenged? Do you have strong mathematical skills and want to enhance your skill set with training and development opportunities? Kubrick Group is an award-winning data, AI and next generation consultancy with a twist. We exist to overcome the talent shortage that has existed for too long, and help organisations transform.
At Kubrick we seek bright, curiously minded graduates and junior professionals to embark on first-class training, which is designed and led by industry experts, and expose them to exciting client projects for two years+ where they can take their career to the next level. You do not need any experience within the Data industry to join us as we bridge the gap between the skills you do have and those required to become a successful Data consultant.
Kubrick's Machine Learning Engineers assist our clients by extracting value from data by integrating deep knowledge from multiple disciplines such as mathematics, computer science and domain knowledge to draw meaningful insights, predict trends and increase efficiency within an organisation. If these sorts of projects excite you Kubrick would like to hear from you as we are looking for our next intake of Machine Learning Engineers!
Here’s what one of our Machine Learning Engineers in training had to say about the programme..
“The trainers are amazing and teach from strong experience whilst also keeping material very current. Honestly couldn't recommend the MLE stream enough for anyone who wants to kick start their career in machine learning!”
Kubrick strongly believe that the data industry should embrace diversity in its teams. There is a current under-representation of women starting careers in data, AI, and next generation technology, which is why Kubrick actively aim to attract more women into the field. Our commitment to gender diversity is reflected in our hiring efforts, with 40% of our employees being female – an impressive 24% higher than the industry average.
We've signed the Gradcracker feedback pledge.