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

Nominate & Attend

Artificial Intelligence Engineer

X4 Technology
Leeds
2 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer - Agentic bioimage data platform

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Lecturer in Software Systems, Artificial Intelligence and Data Engineering

Job Title:Azure AI Engineer

Location: Remote

Job Type:6 Month Contract + chance for extension

Interview Process: Video Interviews held remotely

Rate:DOE Outside IR35


A consultancy client who are partnered with Microsoft are seeking an AI Consultant with expertise in utilising AI in Azure environments to join the team on a 6-month contract. This role sits within their extensive AI hub and has scope to service multiple industries - making this an excellent opportunity to gain wide industry exposure.


AI Consultant Key Responsibilities:

  • Design, implement, and optimise Azure-based generative AI solutions (e.g., Azure OpenAI Service using GPT models, VAEs, GANs) for generating text, imagery, and multimodal content.
  • Lead the delivery of creative, autonomous AI systems using Microsoft's stack, including Azure Cognitive Services and Azure Machine Learning.
  • Architect and deploy agentic AI systems capable of decision-making, learning from real-time data, and adapting over time using Azure infrastructure.
  • Build and coordinate multi-agent systems leveraging reinforcement learning, with seamless integration into enterprise Azure environments.
  • Collaborate with Microsoft Partner teams and clients to embed AI agents into business applications (e.g., Microsoft 365, Dynamics 365, Power Platform).
  • Work closely with product, data, and engineering teams to deploy production-grade AI models that align with Microsoft Responsible AI principles.
  • Support the development of POCs and scalable AI deployments using tools like Azure ML, Azure Databricks, and Azure Synapse.
  • Stay aligned with Microsoft’s AI roadmap and integrate Microsoft AI capabilities into client solutions.


AI Consultant Required Qualifications and Skills:

  • Proven experience with generative AI and deep learning models (e.g., GPT via Azure OpenAI, GANs, VAEs).
  • Strong expertise in agentic AI systems, including multi-agent reinforcement learning and autonomous agents.
  • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, and OpenAI Gym.
  • Hands-on experience with Microsoft Azure services including Azure ML, Azure Cognitive Services, Azure Kubernetes Service (AKS), and Azure Functions.
  • Familiarity with Microsoft Responsible AI frameworks and ethical considerations in deploying large-scale AI solutions.
  • Understanding of NLP and computer vision, especially using Microsoft tools such as Azure Cognitive Vision, Language Understanding (LUIS), and Text Analytics.
  • Previous experience working within a Microsoft Partner or consultancy environment is highly desirable


If you think this could be an exciting opportunity for you then please apply now! Alternatively connect with me on LinkedIn for further opportunities in this space: (24) Ryan Kwarteng | LinkedIn

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 Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.