Azure AI Engineer

London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer (Automation)

Data Analyst

Senior Data Engineer

Senior Data Engineer (Python/PySpark & SQL)

Senior Data Engineer - Microsoft Fabric

Azure AI Engineer
Remote UK
£60,000 - £80,000 (DOE) + Holiday + Pension + Healthcare + Remote Working + Great working Culture + Autonomy

This is an exciting opportunity for an Azure AI Engineer to join a fast-growing company that offers autonomy, career growth, and a highly competitive salary.

The company specialises in developing innovative software and AI-driven solutions for the fashion industry, with all technologies designed and built in-house by expert software professionals. Due to increasing demand, they are expanding their senior leadership team to drive innovation and support continued growth.

In this role, you will design, develop, and deploy AI-driven solutions using Microsoft Azure, leveraging services such as Azure Machine Learning and Cognitive Services. You will integrate AI models into cloud-based applications, ensuring scalability and performance. Your responsibilities will include training and fine-tuning machine learning models, automating AI workflows, optimising cloud infrastructure, and ensuring compliance with security and governance standards.

The ideal candidate will have strong experience in developing and deploying AI solutions using Microsoft Azure, with expertise in Azure Machine Learning and Cognitive Services. Proficiency in programming languages such as Python or C#, along with experience in machine learning frameworks is essential. A deep understanding of cloud architecture, data engineering, and MLOps is required. Additionally, the candidate should have the ability to optimise AI models for scalability, and a solid grasp of security and compliance in cloud environments. Azure/AI certifications would be beneficial but not essential.

The Role:

Design, develop, and deploy AI-driven solutions using Microsoft Azure.
Leverage Azure Machine Learning and Cognitive Services for AI development.
Integrate AI models into cloud-based applications for scalability and performance.
Train and fine-tune machine learning models to enhance accuracy and efficiency.
Automate AI workflows and optimize cloud infrastructure.
Ensure compliance with security and governance standards.
The Person:

Strong experience in developing and deploying AI solutions using Microsoft Azure.
Expertise in Azure Machine Learning and Cognitive Services.
Proficiency in programming languages such as Python or C#.
Experience with machine learning frameworks like TensorFlow or PyTorch.
Deep understanding of cloud architecture, data engineering, and MLOps.
Ability to optimize AI models for scalability and performance.
Knowledge of security and compliance in cloud environments.
Azure/AI certifications are beneficial but not essential

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.