Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Azure AI Developer

TalentHawk
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Senior Data Scientist

Senior Consultant Data Scientist

Senior Machine Learning Engineer, Data for Embodied AI

Scientific Data Scientist

AI Solutions Engineer – Transformative AI Integration Project

About the Client:

Our client is a global leader in energy solutions, dedicated to leveraging cutting-edge technology to drive innovation. They are building an advancedData Verseto 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 anAI Solutions Engineerto lead the development of anAgentic AI systemintegrated 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 inAzure 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 usingAzure AI Services.
  • Strong knowledge ofCo-Pilot developmentand embedding AI assistants into enterprise workflows.
  • Hands-on experience withAgentic AI systems, capable of making recommendations and autonomously responding to inputs.
  • Proficiency inmachine learning techniques, including image recognition andnatural language processing (NLP).
  • Strong programming skills inPython,C#, or other relevant languages.
  • Experience with large-scale data integration and managing structured data layers.
  • Familiarity with tools likeAzure Cognitive Services,Computer Vision APIs, andGenerative AI APIs.
  • Expertise in AI-driven automation andprocess optimization workflows.
  • Excellent problem-solving skills and the ability to thrive in dynamic, fast-paced environments.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.