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

Apply Now

DV Cleared Data Architect

IO Associates
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Active DV Required

Consultant - Manager, Data Science and Machine Learning, AI & Data, Defence & Security

Consultant - Manager, Data Science and Machine Learning, AI & Data, Defence & Security

Consultant - Manager, Data Engineer, AI & Data, Defence & Security

Senior Data Engineer - Active DV Required

DV Cleared Defence Data Science & ML Consultant

Job Title:DV Cleared Data Architect

Clearance: DV Clearance is a must (Used within the last 12 months)

Location:4 days on-site (London)

Job Type:Contract

Duration:12 monthinitial (likely extension)

Ir35: Inside

Rate: £700.00 - £750.00 pd

About Us:Leading defence organisation dedicated to safeguarding our nation's security. Our mission is to provide innovative solutions to complex defence challenges, ensuring the safety and effectiveness of our armed forces. We are seeking a highly skilled and motivated Data Architect to join our dynamic team and play a crucial role in shaping our data strategy and infrastructure.

Key Responsibilities:

  • Data Strategy Development:Develop and implement data architecture strategies that align with organisational goals and defence requirements.

  • Data Modelling:Design and optimise data models to support complex defence-related data systems and applications.

  • Data Integration:Collaborate with cross-functional teams to ensure seamless integration of data across various defence systems and platforms.

  • Data Security:Ensure robust data security measures are in place to protect sensitive defence information from cyber threats.

  • Data Governance:Establish and enforce data governance policies and standards to maintain data quality, integrity, and compliance with regulatory requirements.

  • Technology Evaluation:Assess and recommend data management tools, technologies, and best practices to enhance data architecture within the defence sector.

  • Performance Optimisation:Monitor and optimise the performance of data systems, ensuring efficient data storage, retrieval, and processing.

  • Technical Leadership:Provide technical leadership and mentorship to junior data architects and data engineers within the organisation.

#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.