Graduate Machine Learning Engineer – paid to train

Details

Description

A bit about us:

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.

What you’ll receive:

  • Access to 15 weeks of expert-led, paid training in the latest Machine Learning tools and technologies
  • First-hand exposure to machine learning projects at a leading UK client post-training
  • Continuous development opportunities post-training, including free accreditations from leading tech partners such as Google, Microsoft, and Amazon
  • A strong network of friendly and supportive colleagues
  • Ongoing support
  • Great benefits
  • £32,000-year one salary, £40,000-year two salary, £55-70,000-year three salary
  • A wide range of internal progression opportunities

The role:

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.

What we need from you:

  • Educated to degree level
  • A level mathematics
  • Analytical and problem-solving skills
  • Team player
  • Strong interest in data and technology
  • Good communication skills, both oral and written
  • Flexible on location as our consultants often work across the UK

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:

  • Cycle to work scheme
  • Free Specsavers eyecare vouchers
  • Hybrid training environment
  • Casual dress
  • A blend of collaborative workspaces and quiet areas
  • Laptops and all training materials provided by Kubrick throughout training
  • Employee referral scheme
  • Mental health first aiders
  • Access to Perkbox Premium (including discounted gym memberships, wellbeing portal with free counselling sessions and advice, discounted food and drinks, plus more)
  • Pension scheme
  • Paid time off
  • Paid parental leave
  • Ongoing networking opportunities
  • Dedicated support from our Readiness team during training and Consultant Success team during client projects
  • Continuous development including free accreditations from our tech partners
  • A team of diversity champions who are dedicated to driving diversity and inclusion across the business
  • Opportunities to get involved in volunteering and wider ESG initiatives

Diversity statement:

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.

Apply now

 

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