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

Apply Now

Data Platform Technical Architect

VIQU Limited
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Implementations Data Engineer

Head of Data Engineering

Senior Data Platform & MLOps Engineer EMEA - Hemel Hempstead

Principal Data Engineer

Principal Data Engineer

Senior Data Engineer

Data Platform Technical Architect – London/ Hybrid £80,000 to £90,000

We’re partnered with one of the UK’s leading brands that are currently hiring for a Data Product Management Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outclass.

The Data Platform Technical Architect will focus on leading and shaping the architectural design of the Data Platform to make sure that it is well integrated with the company’s system and adheres to regulatory requirements.

The position will benefit from hybrid working of 3 days a week onsite from their London office.

Requirements of the Data Platform Technical Architect:

-          5+ Years experience in Data Architect or similar position

-          Strong experience in Enterprise Data Platform (EDP) Architecture

-          Essential expertise in cloud solutions to include Azure and Databricks

-          Technically able to enable PaaS for data products

-          Good knowledge of data security, governance and compliance

-         ...

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.