AI Adoption Manager

Wellington
2 weeks ago
Applications closed

Related Jobs

View all jobs

Product Manager AI

Strategic Customer Success Manager, Northern Europe

C# Team Lead London

Planning Consultant

Sr. Functional Consultant

Data Science Lead

About the Role

We are seeking an experienced and innovative AI & Innovation Specialist to join our client. In this role, you will be responsible for identifying, exploring, and implementing AI-driven solutions that can enhance our business operations. As a key member of our team, you will bridge the gap between technical capabilities and business impact, driving the adoption of AI technologies to support our growth and success.

Key Responsibilities:

Identify AI opportunities: Conduct research and evaluate potential AI use cases that can drive efficiency, automation, or competitive advantage.
Collaborate across teams: Work closely with production, R&D, and commercial teams to understand business needs and how AI can enhance processes.
AI Implementation Support: Assist in developing and testing AI-driven solutions, working alongside external AI consultants and internal teams.
Data & Insights: Support data analysis efforts to assess trends, performance, and AI model effectiveness.
AI Training & Awareness: Help upskill internal teams by explaining AI concepts and ensuring effective adoption of new tools.
Monitor AI Trends: Stay informed on the latest AI developments and assess how they could be applied within the business.

What We're Looking For:

Degree in Computer Science, Data Science, AI, Business Analytics, or a related field.
1-3 years of experience in AI, data science, or technology-driven innovation.
Understanding of AI tools, automation, and machine learning concepts (hands-on coding experience is beneficial but not essential).
Strong problem-solving and analytical skills with a commercial mindset.
Ability to communicate AI concepts to non-technical stakeholders.

Nice to Have:

Experience in manufacturing, production, or supply chain optimisation.
Exposure to working with AI consultancies or external data teams.
Understanding of business process automation

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.