Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Scientist

Net Talent
Glasgow
1 week ago
Create job alert

Direct message the job poster from Net Talent

CEO and founder of Net Talent and People Talent, CIPD AssociateFractional Embedded Talent Acquisition Partner, Senior…

Location Glasgow/Edinburgh

Salary: Competitive + Benefits

About the Role

We are seeking a bright and driven Junior / Graduate Data Scientist to join a forward-thinking AI research and development team. This is a rare opportunity to apply advanced mathematics, data science, and artificial intelligence to solve complex real-world problems in automation, document intelligence, and information retrieval.

You’ll work on projects at the cutting edge of AI, from natural language processing (NLP) and computer vision to Retrieval-Augmented Generation (RAG) and explainable AI. You’ll be part of a collaborative environment where mathematical rigour meets practical innovation, building systems that make a measurable difference.

What You’ll Do

  • Research & Develop AI/ML solutions for document intelligence, information retrieval, and automation.
  • Build and enhance NLP and computer vision systems to extract, classify, and structure data from unstructured documents.
  • Work with RAG architectures, implementing advanced document chunking, GraphRAG, and ScaNN to boost retrieval precision.
  • Deploy AI-powered bots and web applications on cloud platforms (e.g., Microsoft Azure).
  • Develop systems that integrate AI models seamlessly with enterprise data, enabling domain-specific applications.
  • Explore explainable AI techniques to make complex models transparent and trustworthy.
  • Keep up with the latest AI research and translate cutting-edge findings into production-ready solutions.

What We’re Looking For

  • First-class degree in Mathematics, Computer Science, Artificial Intelligence, _ ideally a Masters
  • Strong mathematical foundation, especially in algebra, number theory, and statistics.
  • Proficiency in Python and familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
  • Understanding of NLP, computer vision, and retrieval methods.
  • Ability to turn theory into practical, deployable systems.
  • Experience with Microsoft Azure or other cloud platforms.
  • Knowledge of vector search, RAG pipelines, and document chunking strategies.
  • Familiarity with advanced search techniques such as anisotropic vector quantisation.
  • Interest in explainable AI and model interpretability.

Why Join Us?

  • Work on groundbreaking AI projects with real-world impact.
  • Be part of a research-led, innovation-driven team.
  • Gain hands-on experience with state-of-the-art tools and techniques.

Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesAccounting

Referrals increase your chances of interviewing at Net Talent by 2x

Sign in to set job alerts for “Data Scientist” roles.

Glasgow, Scotland, United Kingdom 3 weeks ago

Glasgow, Scotland, United Kingdom 2 weeks ago

Glasgow City, Scotland, United Kingdom 4 days ago

Stonehouse, Scotland, United Kingdom 5 days ago

Glasgow, Scotland, United Kingdom 2 weeks ago

Stonehouse, Scotland, United Kingdom 6 days ago

East Kilbride, Scotland, United Kingdom 3 days ago

Higher Scientist – Informatics (Glasgow or Cambridge)

Glasgow, Scotland, United Kingdom 1 week ago

Glasgow, Scotland, United Kingdom 1 week ago

Glasgow City, Scotland, United Kingdom 3 days ago

Glasgow, Scotland, United Kingdom 3 days ago

Glasgow, Scotland, United Kingdom 3 days ago

Glasgow City, Scotland, United Kingdom 4 days ago

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Glasgow, Scotland, United Kingdom 3 days ago

Glasgow, Scotland, United Kingdom 5 days ago

Glasgow, Scotland, United Kingdom 1 week ago

Glasgow, Scotland, United Kingdom 6 days ago

Irvine, Scotland, United Kingdom 1 week ago

Glasgow, Scotland, United Kingdom 6 days ago

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Glasgow, Scotland, United Kingdom 6 months ago

Glasgow, Scotland, United Kingdom 1 day ago

Glasgow, Scotland, United Kingdom 2 weeks ago

Glasgow, Scotland, United Kingdom 3 days ago

Glasgow, Scotland, United Kingdom 2 months ago

Software Engineer - Python - Container Images

Glasgow, Scotland, United Kingdom 2 months ago

Glasgow, Scotland, United Kingdom 1 day ago

Glasgow, Scotland, United Kingdom 5 days ago

Glasgow, Scotland, United Kingdom 5 months ago

Glasgow, Scotland, United Kingdom 3 months ago

Software Engineer - Python - Container Images

Glasgow, Scotland, United Kingdom 2 months ago

Glasgow, Scotland, United Kingdom 1 month ago

Glasgow, Scotland, United Kingdom 3 weeks ago

Software Engineer - Python - Container Images

Glasgow, Scotland, United Kingdom 4 months ago

Renfrewshire, Scotland, United Kingdom 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.