Senior Legal Counsel

Future
Bath
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Databricks

Senior Data Scientist

Senior Data Engineer

Performance Officer / Data Analyst

Principal Data Science Consultant with Marketing Expertise

Principal Data Science Consultant - Financial Services Expertise

Future plc is a leading global platform for specialist media. Our publications include PC Gamer, GamesRadar+, Tech Radar, Marie Claire, Who What Wear, The Week, Cyclingnews, FourFourTwo, Horse & Hound, Wallpaper*, Homes & Gardens, Ideal Home, CinemaBlend, Guitar World, and many more. Our businesses include Future Studios (video content), Marketforce (print distribution), and Future Creative (branded content). Our brands also includeGo.Compare, an FCA regulated price comparison site.

What you'll be doing

Reporting to the Head of Legal, you will be a part of a UK based legal and governance team supporting Future’s businesses across the globe. This will have a wide remit, including a mix of transactional and advisory work across our digital, print, video, advertising, social, and events channels. You will also support our General Counsel and Company Secretary with company secretarial and corporate governance matters.

Experience that will put you ahead of the curve

Essential

  • You are qualified in England and Wales (or you are qualified in another common law jurisdiction and have significant post qualification experience in a company based in the UK or US).
  • You are comfortable in autonomously dealing with a wide variety of commercial work.
  • You have experience advising FCA regulated businesses. An understanding of the retail insurance market would be beneficial. You will have a working knowledge of e-commerce and consumer protection laws.
  • You enjoy overseeing the work of junior members of your team. You take an interest in the development of others.

Beneficial

  • You have experience providing corporate and company secretarial support to a UK listed company.
  • You have either experience advising media or advertising businesses.
  • You have a working knowledge of any or all of the Digital Markets, Competition and Consumers Act, the Online Safety Act, the FCA’s Consumer Duty, and developments in AI regulation.
  • Experience of dealing with regulatory matters under any or all of the ASA/FTC, CMA, ICO, or Ofcom regimes.
  • Experience of managing disputes, including customer complaints. You understand the role of the FOS.

What's in it for you

The expected range for this role is £50,000 - £80,000.

This is a Hybrid role from our Bath, Cardiff or London Office, working three days from the office, two from home.

… Plus more great perks, which include:

  • Uncapped leave, because we trust you to manage your workload and time.
  • When we hit our targets, enjoy a share of our profits with a bonus.
  • Refer a friend and get rewarded when they join Future.
  • Wellbeing support with access to our Colleague Assistant Programmes.
  • Opportunity to purchase shares in Future, with our Share Incentive Plan.

Internal job family level P4.

Who are we…

We’re Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

We’ve got ambitious plans that further build on our growth momentum and unlock new opportunities – and we’re looking for driven people who want to be a part of it!

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That’s why we’re building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It’s not just about what you bring to the table — it’s about making sure the table has room for everyone.

Because a diverse team isn’t just good for business. It’s the Future.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

Find out more about Our Future, Our Responsibility on our website.

#LI-Hybrid

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.