Senior Privacy Counsel - International Technology Business

Taylor Root
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Data Science Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer, Gen AI

Senior Data Scientist

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.