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

Apply Now

SC Cleared Data Scientist

Bassaleg
1 year ago
Applications closed

Related Jobs

View all jobs

SC Cleared Data Scientist — ML, Bayesian & Forecasting

SC Cleared Data Engineer/Scientist

SC cleared - Azure Data Engineer

SC cleared - Azure Data Engineer

SC cleared - Azure Data Engineer

SC cleared - Azure Data Engineer

SC Cleared Data Scientist
£25.36 per hour / £187 per day
INSIDE IR35
12 Month contract
Full Time - 37 hours per week
Hybrid - 2 to 3 days per week in either Newport, South Wales, Titchfield, Hampshire or Darlington.

My client are a large prestigious government organisation and are looking for an SC Cleared Data Scientist to come and join their team on an initial 12 month basis, paying a hourly/daily rate, inside IR35.

LIVE SC CLEARANCE IS HIGHLY DESIRABLE FOR THIS ROLE

Essential requirements of role:

Proficiency in Python and experience with the full data science and machine learning stack.
Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment.
Experience in using data science techniques (e.g. natural language processing, supervised and unsupervised machine learning, deep learning).
Passion for building AI tools that can be used by others to deliver business outcomes.
Successful candidates will be required to undergo SC Clearance, therefore applicants must of resided in the UK for a minimum of five out of the last five years, in order to undergo this level of security check

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.

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.

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.

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.