At a Glance
- Tasks: Join our AI Engineering Lab to develop cutting-edge AI and machine learning solutions.
- Company: Scale Factory, an innovative AI consultancy with a focus on quality and transformation.
- Benefits: Enjoy elite certifications, mentorship, health benefits, and 25 days of annual leave.
- Other info: Collaborative culture with vibrant social events and excellent career progression opportunities.
- Why this job: Fast-track your career in AI with hands-on experience and industry-leading training.
- Qualifications: 2:1 or above in relevant fields and a passion for AI and data science.
The predicted salary is between 72000 - 88000 £ 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.
- Free Annual Rail Cards
- Electric vehicle salary sacrifice scheme
- 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
The Scale Factory is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions to automation testing initiatives will be valued and impactful. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment. Located in the UK, we offer a unique blend of professional development and a commitment to quality, making it a rewarding place for those looking to advance their careers in software testing.
