Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior AI Data Scientist

Eden Scott
Glasgow
4 weeks ago
Applications closed

Related Jobs

View all jobs

Senior AI Data Scientist

Senior AI & Data Science Lead — Production ML

Senior Data Scientist - AI/ML (CADD)

Senior Data Scientist: AI/ML & Data Strategy Lead

Applied AI & Data Scientist

Senior Data Scientist

Direct message the job poster from Eden Scott


⚠️ ImportantTo be considered, you must already hold valid SC clearance.


🚀 Contract Opportunity: Senior AI Data Scientist

Hybrid: 1 day per week into Glasgow office


Rate: Up to £750/day (Inside IR35)


Are you a highly skilled AI Data Scientist looking for your next impactful contract? This is an exciting opportunity to join a forward-thinking organisation where you will lead the development of advanced analytics and machine learning solutions that drive real business value.


🔍 What You’ll Do

  • Design, develop, and deploy machine learning models using Azure ML Studio and Python
  • Translate complex data into actionable insights through Power BI dashboards and compelling storytelling
  • Collaborate across teams to deliver secure, scalable, and responsible AI/ML solutions
  • Monitor model performance, manage drift, and implement retraining strategies
  • Lead the development of AI/ML proof‑of‑concepts and evaluate their business value

🧠 What You will Bring

  • Extensive experience with Python and data science Python packages (e.g. scikit‑learn, pandas, numpy, etc). (LEAD)
  • Understanding of data science concepts, AI / ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD)
  • Experience using business intelligence tools, preferably Power BI.
  • Experience applying Generative AI and prompting techniques.
  • Strong understanding of data governance, model observability, and compliance frameworks.
  • Proven ability to deliver secure, scalable, and responsible data science solutions.
  • Excellent communication and presentation skills.
  • Extensive experience working collaboratively with diverse colleagues and stakeholders.

✅ Nice to Have

  • Familiarity with the Microsoft ecosystem (M365, Power Platform, Azure)
  • Awareness of cybersecurity principles

Seniority level

Mid‑Senior level


Employment type

Contract


Job function

Information Technology


Referrals increase your chances of interviewing at Eden Scott by 2x


Get notified about new Data Scientist jobs in Glasgow, Scotland, United Kingdom.


#J-18808-Ljbffr

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.