Patent Attorney, AI and Machine Learning - UK based

Mewburn Ellis LLP
Newton
2 months ago
Applications closed

Related Jobs

View all jobs

Patent Attorney, AI and Machine Learning - UK based

Research Specialist in AI and Data Science

Software Engineer

Director of Product - City of London

Data Scientist

Software Developer

Patent Attorney, AI and Machine Learning - UK basedLondon, Bristol, Manchester or Cambridge Mewburn 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.

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.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 schemeHybrid office and home working (50/50)30 days leave (exc. Bank Holidays)Generous pension scheme, enhanced family leaveCycle to work scheme, interest-free season travel ticket loanFirmwide discretionary bonus schemePaid day off for charitable endeavoursDiscount Voucher Scheme, Electric Car SchemeWorkplace ISA, Medicash, Care conciergeYou’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 we're giving back.About youAn 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 ’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 privacyAs 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

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 AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.