Graduate AI Engineer

Southampton
3 weeks ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Data Scientist

Principal Data Scientist (Manager) - Remote (Basé à London)

Principal Data Scientist - Remote

Principal Data Scientist (Manager) - Remote

Principal Data Scientist (Manager) - Remote

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.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.