TalentHawk | Azure AI Developer

TalentHawk

London

2 months ago

Applications closed

AI Solutions Engineer – Transformative AI Integration ProjectAbout the Client:Our client is a global leader in energy solutions, dedicated to leveraging cutting-edge technology to drive innovation. They are building an advanced Data Verse to revolutionize data integration and utilization across their operations. This transformative project combines AI and data engineering to deliver actionable insights and streamlined workflows, offering a unique opportunity to be part of a groundbreaking initiative.Role Overview:We are seeking an AI Solutions Engineer to lead the development of an Agentic AI system integrated with our clients Data Verse. This system will analyse complex data inputs—such as field images of equipment—and generate actionable outputs, including detecting corrosion and automating the ordering of replacement parts.The ideal candidate will possess expertise in Azure AI Services, Co-Pilot development, and advanced AI technologies, driving the creation of a responsive, intelligent, and user-friendly AI solution.Key Responsibilities:Agentic AI Development: Build a responsive AI system using Azure AI Services capable of proactive and autonomous interactions.Co-Pilot Integration: Develop a Co-Pilot-based AI assistant to streamline workflows for field engineers and technicians.Data Integration: Design scalable and reliable systems for multi-layered data integration within the Data Verse.Image Recognition: Implement image recognition capabilities for equipment diagnostics, including corrosion detection, part identification, and automated order placement.Azure AI Tools: Leverage tools such as Cognitive Services, Form Recognizer, and Vision APIs to deliver advanced functionality.Collaboration: Work closely with data engineers, field technicians, and product managers to ensure alignment with business objectives.Security & Optimization: Ensure the solution is secure, robust, and optimized for real-time interaction.Required Skills and Qualifications:Proven expertise in deploying AI solutions using Azure AI Services.Strong knowledge of Co-Pilot development and embedding AI assistants into enterprise workflows.Hands-on experience with Agentic AI systems, capable of making recommendations and autonomously responding to inputs.Proficiency in machine learning techniques, including image recognition and natural language processing (NLP).Strong programming skills in Python, C#, or other relevant languages.Experience with large-scale data integration and managing structured data layers.Familiarity with tools like Azure Cognitive Services, Computer Vision APIs, and Generative AI APIs.Expertise in AI-driven automation and process optimization workflows.Excellent problem-solving skills and the ability to thrive in dynamic, fast-paced environments.

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

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

Mar 22, 2025

Careers

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.

Mar 20, 2025

Careers

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.

Mar 16, 2025

Jobs

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.