At a Glance
- Tasks: Join our AI Engineering Lab to develop elite skills in AI and machine learning.
- Company: Scale Factory, an innovative AI enablement consultancy with a focus on quality.
- Benefits: Enjoy competitive pay, health benefits, mentorship, and funded certifications.
- Other info: Experience vibrant culture, social events, and excellent career progression.
- Why this job: Fast-track your career in AI with hands-on projects and expert guidance.
- Qualifications: 2:1 or above in relevant fields and a passion for AI and data science.
The predicted salary is between 28000 - 38000 £ per year.
About Scale Factory
We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don’t just build for the future, we ensure it actually works. We combine this engineering discipline with cutting‑edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality.
About the AI Engineering Lab
The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don’t just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting‑edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast‑track exceptional quantitative talent into world‑class technical consultants. Following an initial training period where you’ll gain deep technical expertise and elite client‑facing skills, you’ll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry‑leading clients.
The Programme Journey: How You’ll Grow
- Phase 0 – The Quality Gate & Pre‑Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we’ll support you with up to two weeks of curated, self‑paced pre‑learning to ensure you enter the lab feeling confident and ready.
- Phase 1 – Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You’ll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials.
- Phase 2 – Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high‑demand elite paths:
- AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi‑agent frameworks (CrewAI/AutoGen) on the Microsoft platform.
- AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines.
- Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real‑time streaming pipelines.
- Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost‑optimisation practices.
Perks, Progression & Support
- Elite Certifications Funded: We fully fund premium industry‑recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer).
- High‑Touch Mentorship: You’ll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support.
- Vibrant Cohort Culture: Experience your initial face‑to‑face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK.
- 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme.
- Pension Plan: Employer‑matched contributions up to 5%.
- Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies.
- Fitness Support: Subsidised gym memberships and a bike‑to‑work scheme.
- Commuter Benefits: Season ticket loans to make travel easier.
- Social Events: From annual kick‑offs and Christmas parties to team socials and sporting events, we love celebrating success together.
What We’re Looking For
We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require:
- A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline.
- A-Level Mathematics and Further Mathematics, B or above.
- A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem‑solving.
- Strong Soft Skills & Adaptability: You need to be a collaborative problem‑solver who is eager to understand the wider business context and articulate technical concepts to stakeholders.
- Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds).
If this sounds like the next step you’ve been dreaming of, apply today!
Graduate AI Engineering Lab in Leeds employer: The Scale Factory
At Scale Factory, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation thrives. Our commitment to career growth is evident through tailored training opportunities and a supportive team culture that values collaboration and creativity. With the flexibility of hybrid working and the chance to engage in exciting projects across diverse industries, joining us as a Principal Cloud Consultant means becoming part of a forward-thinking consultancy dedicated to transforming businesses with AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Engineering Lab in Leeds
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like The Scale Factory.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including The Scale Factory, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like The Scale Factory.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including The Scale Factory, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Graduate AI Engineering Lab in Leeds
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so The Scale Factory can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at The Scale Factory and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at The Scale Factory
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells The Scale Factory that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into The Scale Factory’s culture and workflow.
