National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sr Director Analyst, AI Technologies - Generative AI/Machine Learning (Remote Europe)

Gartner
London
2 weeks ago
Create job alert

What makes Gartner Research & Advisory a GREAT fit for you? When you join Gartner, you’ll be part of a team that values curiosity, expert insights, bold ideas and intellectual courage, while driving partnerships with global organizations to make the right decisions on their key initiatives. Through constant learning, discovery, innovation, and collaboration, you’ll not only help clients accomplish their mission-critical priorities, but also grow your career and the scope of your impact across industries. Our culture demands dedication— and rewards it with opportunity. If you’re always looking for what’s next in business and technology, Gartner is looking for you.

The Global Enterprise Executive Research AI Strategy team at Gartner offers innovation days and community volunteering opportunities to ensure you have an impact beyond Gartner.

As a Gartner Analyst you will create and advise on a portfolio of Gartner research, communicate it to clients and support sales in new sales and client retention. Your research portfolio will provide insight, predictions and actionable advice to clients around artificial intelligence (AI), machine learning (ML) and data topics. In addition, you will understand adjacent research areas and practices.

The field of research you will work in artificial intelligence, machine learning and data technologies and its intersection with infrastructure, the broader applications market and digital business including:

Who you are:

Understand best practices for designing and managing AI technologies, like generative AI, over their life cycles. Understand best practices for selecting, implementing and managing complex business systems. Collaborate on modern executive and business strategies to support artificial intelligence and machine learning technologies. Support adjacent research area programs in the context of AI strategies and broader business strategies that support AI/ML systems.

What you’ll do:

Support best practices and inspire by detecting the emerging next practices and trends in your AI field of research. Understand critical questions facing Gartner clients and crafting appropriate research methods to address them. Create and deliver high value presentations off the back of the body of research. Collaborate and conduct research and produce innovative and thought-leading research analysis. Assist the Sales organization in selling and retention. Provide high quality and timely research peer review.  Lead or participate in research community meetings to discuss research issues and collaborate effectively with peers.

What you’ll need:

12+ years of experience within the field of AI or ML in at least one of the above-mentioned areas. Significant applicable experience in the related industry discipline and deep knowledge of a particular market. You bring a deep understanding of both technology and industry to include the market, vendors, products and user strategies in specific areas. Experience in presenting to clients at events and conferences, performing workshops and briefings. Very good storyteller. Articulate and succinct communication skills; ability to explain complex ideas effectively. Strong writing skills. Expertise in AI system design and engineering practices Experience with AI techniques and their integration into business processes Knowledge of digital twins and simulation technologies Strong technical skills in AI system architecture and implementation Bachelor's degree or equivalent experience; Graduate degree preferred Willingness and ability to travel up to 25% (where applicable)

#LI-SH2

#LI-Remote

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work? 

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer? 

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. 

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to .

Job Requisition ID:100388

By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.

Gartner Applicant Privacy Link:


For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Related Jobs

View all jobs

Senior Data Scientist - Growth & Retention

Senior Data Scientist - Planning

Sr Lead Data Engineer

Sr. Machine Learning Engineer, Amazon General Intelligence (AGI)

Sr. Machine Learning Engineer

Sr. Data Scientist - Advanced AI Research & Next-Gen ML (Remote, GBR)

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.