Future Tech Jobs Future Tech Jobs

AI Specialist

Snowflake
Remote, United Kingdom
Today
£40,000 – £60,000 pa

Salary

£40,000 – £60,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
7 May 2026 (Today)
Share
Save job
Create job alert

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Position Overview: We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the UK region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.

KEY RESPONSIBILITIES:

  • Solution Selling:

    • The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.

  • Strategic Leadership:

    • Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.

    • Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.

  • Technical Expertise:

    • Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.

    • Provide hands-on technical guidance to AI/ML teams during critical projects.

    • Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.

  • Customer Engagement:

    • Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.

    • Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.

  • Team Collaboration:

    • Collaborate with product teams, fostering a culture of innovation, learning, and excellence.

    • Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.

    • Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.

TECHNICAL REQUIREMENTS:

  • Essential

    • Generative AI:Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents

    • Machine Learning:Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.

    • Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)

    • Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries

  • Highly Desirable

    • Snowflake Experience: experience with the Snowflake AI/ML ecosystem

    • Data Engineering:while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial

    • ML Ops: Experience in ML Ops including feature stores, model registries, observability

    • DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines

PERSONAL ATTRIBUTES:

  • Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.

  • Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.

  • Customer-Centric: Deeply invested in understanding and addressing customer needs.

  • Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.

  • Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.

  • Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.

  • Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.

Why Join Us? This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Related Jobs

View all jobs

Automation and AI Specialist

Qualify Nation Recruitment London, United Kingdom
£35,000 – £55,000 pa Hybrid Clearance Required

Applied Field Engineer AI/ML Intern (3 months) - London 2026

Snowflake London, United Kingdom
On-site

Strategic AI/BI Account Executive

Databricks London, United Kingdom
£40,000 – £80,000 pa Hybrid

Geo Core Account Executive - UAE

Databricks London, United Kingdom

Technical Support Specialist- DACH

Synthesia Munich, Bavaria, Germany
Hybrid

Knowledge & Enablement Specialist

Synthesia United Kingdom
Remote

Industry Insights

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

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.