Patent Attorney, AI and Machine Learning - UK based

Mewburn Ellis LLP
Manchester
4 days ago
Create job alert

Patent Attorney, AI and Machine Learning - UK basedLondon, Bristol, Manchester or CambridgeMewburn Ellis is the forward-looking IP firm.

Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are ‘Top Tier’ in Legal 500, ‘Band 1’ in Chambers & Partners UK, ‘Gold Ranked’ for EPO work and ‘Top Tier’ in IAM Patent 1000, as well as being ‘Recommended’ in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey.

The role

The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists.

A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets.

We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally – so you don’t need experience in every area as we will upskill and support your learning every step of the way.

What’s in it for you?

  • Competitive salary & associate bonus scheme
  • Hybrid office and home working (50/50)
  • 30 days leave (exc. Bank Holidays)
  • Generous pension scheme, enhanced family leave
  • Cycle to work scheme, interest-free season travel ticket loan
  • Firmwide discretionary bonus scheme
  • Paid day off for charitable endeavours
  • Discount Voucher Scheme, Electric Car Scheme
  • Workplace ISA, Medicash, Care concierge

You’ll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands.

Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how were giving back.

About you

An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you’ll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis.

In addition to the technical side, you’ll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help!

If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we’d love to hear from you. Please send a CV to our Resourcing and Talent Manager

We’re committed to equal opportunities and welcome a broad diversity of talent to apply.

We reserve the right to cease advertising should we receive a high number of applicants.

Your privacy

As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.

J-18808-Ljbffr

Related Jobs

View all jobs

AI / Computing / Machine Learning Patent Attorney

Machine Learning Engineer

Senior Data Scientist

Principal Data Engineer

Software Engineer

Director of Product - City of London

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.