We are an award-winning consultancy that’s committed to closing the digital skills gap and making data, AI, and technology accessible for all. We do this by hiring graduates and junior professionals without any relevant skills or experience in data, AI, or technology, and paying them to train over 15 weeks.
Once trained, our consultants are assigned to leading UK clients for a period of two years where they apply the skills acquired to real-world projects.
In addition to closing the digital skills gap, we are working hard as an organisation to close the gender gap that’s existed for too long in data, AI, and tech.
We are proud partners of Women in Data – an organisation that focuses on encouraging diverse representation in the industry - and have an internal committee of diversity champions who are focused on building a more inclusive environment for all. We also review our benefits and policies on a regular basis to ensure they are supportive of all genders and diversities, and pay our consultants based on length of time spent at Kubrick, over any other factor.
As a Machine Learning Engineer, you’ll extract value from data to design and build automation models, which will ultimately lead to improved insights and efficiency within organisations. You’ll also assess, analyse, and organise large amounts of data, whilst carrying out tests on the machine learning models and algorithms created.
Kubrick will fully support you in your transition from training to client projects, and you’ll be assigned a designated Consultant Success Manager who will guide you throughout your journey and aid whenever necessary. You’ll also have continuous access to our team of trainers after the 15 weeks who can answer any questions you may have, and both your client and Kubrick will ensure you are onboarded effectively.
We offer a wide range of benefits at Kubrick that are designed to support staff with their physical, mental, and financial wellbeing. These include but aren’t limited to:
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHA, and other forms of neurocognitive variation.
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