PLEASE NOTE, OUR NEXT TRAINING GROUP IS NOW FULL AND WE ARE HIRING
FOR OUR APRIL 2023 COHORT. WE RECOMMEND EXPLORING ONE OF OUR OTHER ROLES
IF YOU ARE INTERESTED IN STARTING THIS YEAR.
The opportunity:
Join Kubrick’s Machine Learning Engineering practice without any prior
skills or experience in data, AI, or technology and after 15 weeks of
salaried, instructor-led training in the latest technical and
professional skills, you’ll work on real-world Machine Learning projects
for a leading UK client.
You will also have access to ongoing development opportunities
post-training including accreditations from tech partners such as
Google, Amazon, Microsoft, Collibra, and more, plus a bespoke learning
portal that will be available to you throughout your employment with
Kubrick and beyond. Lastly, you will be supported from day one of
training and throughout your client projects by our Readiness and
Consultant Success teams, to ensure you get the most out of your
experience with Kubrick.
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 Machine Learning Engineers are part data scientists and part
software engineers. With a strong foundation in Python and programming
best practice, you’ll build and deploy machine-learning pipelines in
production environments. You will use industry-standard techniques such
as classification and regression, natural language processing, and time
series forecasting to solve business problems in a scalable way.
The training:
During the 15 weeks of training, you will be exposed to:
- Programming and Software Engineering: Python, SQL, Command Line,
Automated Testing, DevOps, Version Control
- Data Science Fundamentals: Probability and Statistics, Causal
Inference, Time Series Forecasting, Natural Language Processing,
Classification and Regression, Model Evaluation, Hyperparameter Tuning
- Machine Learning Engineering: Pipelines, Docker, Flask, MLflow,
Kubernetes, Cloud, Explainability
- Business skills: Stakeholder Engagement, Agile, Presentation Skills
What we need from you:
- STEM degree
- Strong problem-solving, collaboration, and communication skills
- Flexible on location as our clients are based across the UK
The salary:
£32,000-year one salary, £40,000-year two salary, £55-65,000 earning
potential in year three
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.
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 accreditations
- A bespoke online learning platform
- Cycle to work scheme
- Employee referral scheme
- 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 Kubrick throughout
training
- Pension scheme
- Dedicated support
- Volunteering opportunities
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.
