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

Apply Now

Senior Privacy Counsel - International Technology Business

Taylor Root
London
11 months ago
Applications closed

Related Jobs

View all jobs

Legal Counsel – AI and Machine Learning

Senior Data Engineer — Real-Time Personalization & Privacy

Senior AWS Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Taylor Root is pleased to be working with a globally renowned technology company to recruit aSenior Privacy Counsel.


Our client advises some of the most well-known brands in the world and is recognized as a global leader in their field. Working as part of a team of 4 talented lawyers the Senior Privacy Counsel will have the opportunity to help shape, mature and embed the privacy compliance framework across the organization.


In addition to this the Senior Privacy Counsel will provide advice on a wide range of complex privacy issues. You will be key to furthering the culture of privacy by design and default and also ensuring the interest and risks of the business are protected. You will interact with stakeholders from all levels of the organization and will support a wide range of business areas.


The ideal candidate will have:

Bachelor’s degree or equivalent

· Qualified solicitor (minimum 5 years PQE)

· Successful track record in GDPR privacy law and ideally have worked in a large global organization

· Keen interest in and experience of working in a fast-paced technology business

· Experience in policy, standards and controls writing

· Strong written and oral communicator

· The ability to manage multiple projects concurrently

· Ad Tech and Machine Learning experience are highly desirable but not a must have.

· Fluency in Spanish, Portuguese or Chinese is highly desirable

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.