The role:
As a Machine Learning Engineer, you’ll design and create data science algorithms that are capable of learning and solving real-world challenges through price prediction modelling, image classification, sentiment analysis, and more.
This is a widely varied and hugely rewarding role that would suit someone who is mathematically minded and enjoys coming up with solutions. You’ll typically work as part of a larger team of data scientists, data engineers, data analysts, data architects, and more on a variety of problems and challenges, meaning this role would also suit someone who enjoys collaborating with others.
What you’ll get:
- Four months of salaried training, delivered by technical professionals in a hybrid setting alongside a cohort of others, in the latest data management tools, technologies, and processes.
- Commerciality training to ensure you are prepared for data management projects post-training.
- Long-term, salaried placements* with leading organisations once you have passed the training, where you will work as a consultant on a variety of data management projects alongside a team of others for up to two years.
- Opportunities to work on internal projects with Kubrick and continue upskilling between client placements.
- Access to accreditations through tech partners including Microsoft, Tableau, Amazon, Google, and more which are paid-for by us.
- Dedicated support throughout training, client placements, and internal projects from our in-house team.
- The opportunity to join your client as a permanent employee after 2 years of client placements or remain with us and continue progressing internally.
- The opportunity to stay connected to us through our alumni program even if you do choose to leave after 2 years of client placements.
- Rapid career acceleration.
*Please note, client placements are arranged by Kubrick. You will not be expected to find your own placements however you will be expected to interview.
Training start date:
Immediate and future start dates available.
Industries we work with:
We work with a variety of organisations across the UK spanning the financial services, energy, retail, and manufacturing, pharma, telco & technology, and the public sector.
The salary:
- £21,255 pro rata during training.
- £24,000 pa post-training/before client placement.
- £33,000 to £34,000 year 1 of client placements.
- £42,500 to £45,000 in year 2 of client placements.
- £60,000 year three +
What you need to join:
- Educated to degree level (2.1 minimum).
- Strong problem-solving skills.
- Strong communication skills, both oral and written.
- Strong collaboration skills.
- Flexible on location as our consultants often work across the UK.
No relevant skills or experience in data or technology is required to join our Machine Learning practice as we’ll introduce you to everything you need to know during the four months of training and continue developing you throughout the program. However, we are unable to accept candidates with computer science or core data degrees as this program is designed to be additive to the market.
You must also be eligible to work in the UK without the need for Kubrick sponsorship before the commencement of employment.
Our benefits:
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:
- Paid technical accreditations.
- A bespoke online learning platform.
- Cycle to work scheme.
- Employee referral scheme.
- Access to mental health first aiders.
- Free Specsavers eyecare vouchers.
- Access to Perkbox Premium (including discounted gym memberships, wellbeing portal with free counselling sessions and advice, discounted food and drinks, plus more).
- Laptops and all training materials provided by us throughout training.
- Pension scheme.
- Dedicated support.
- Volunteering opportunities.
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To find out more or apply Click Here or via the apply now button
Diversity statement:
At Kubrick, we not only strive to bridge the skills-gap in data and next-generation technology, but we are also committed to playing a key role in improving diversity in the tech industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.
We know that potential applicants are sometimes put off if they don’t meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we’d love to hear from you.
We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
