Expire in: a month
Graduate AI Engineer - Tech for Good & Cutting-Edge ML
Location: Remote/Hybrid (UK or Ireland-based with occasional travel)
Contract: 9-month fixed-term (Full-time, PAYE)
Salary: Up to £49k for exceptional candidates
Make an Impact, Tech That Matters
Join a pioneering startup on a mission to break down digital barriers for the deaf community. This company is the first of its kind, using cutting-edge tech to translate digital and written content into sign language - making information truly accessible for everyone.
They're small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure to transform how sign language is delivered at scale.
Why Join?
Zero tech debt: Build from the ground up - clean slate.
Big purpose: Your work directly improves access to information for underserved communities.
Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play.
Ownership: Shape the architecture and engineering culture from day one.
Hybrid freedom: Mostly remote, with occasional travel to meet the team.What You'll Do
Design and develop ML models from scratch for NLP, computer vision, or generative AI
Collaborate with engineers and designers to ship end-to-end features
Work across the stack (Python, backend, and some frontend)
Learn how to deploy, monitor, and maintain production-grade ML services using MLOps principles
Help shape how tech is used to break down accessibility barriersAbout You
On track to graduate (or recently graduated) with a strong degree in AI, ML, or related field
You're curious, sharp, and motivated to learn quickly
Comfortable coding in Python and building ML models
Excited by real-world applications of ML, not just theory
Passionate about inclusive technology and ethical AI
Able to explain complex ideas simply, and work well in cross-functional teamsTech You'll Work With
ML & Data Science
Python (primary language)
TensorFlow, PyTorch, or Keras
NumPy, pandas
Data pipelines (Azure Data Factory, Airflow, etc.)
Applied ML: NLP, CV, transformers, GANs, time series, etc.Engineering & Cloud
Azure (or similar cloud platforms like AWS, GCP)
Microservices and event-driven architecture
Infrastructure as Code (Terraform, Bicep, Pulumi)
DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor)
Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computingWhat You'll Get
Competitive salary + potential for equity if hired full-time
Real ownership and influence in your work
Investment in professional development
A chance to make a measurable difference in people's liveThis is your chance to make a big impact early in your career. You'll be joining a tiny but mighty team building something genuinely innovative with AI and accessibility at its heart.
Want in? Hit reply, drop your CV, or even send a video - we're open to creative applications and encourage sign language users to apply too.
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