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

Apply Now

Azure Technical Lead

Reading
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist: Remote

Lead Data Scientist - Remote

Machine Learning Manager - Applied ML (UK/EU)

Machine Learning and AI Engineering Lead

Machine Learning and AI Engineering Lead

Machine Learning and AI Engineering Lead

Senior Developer

Location: Hybrid - 1 day per week in Reading

Salary: Up to £80,000 + Benefits (including equity)

83zero is proud to be partnering with an innovative start-up that is revolutionising the way companies deliver transformation success. With a cutting-edge SaaS platform, they provide clarity, control, and collaboration, empowering organisations to drive significant ROI and create a more sustainable future.

We are seeking a Senior Developer to play a critical role in shaping the technical future of the company. This is a hands-on leadership position, where you will be responsible for building the UK development capability from the ground up, defining the technical roadmap, and leading key conversations with clients and third-party providers.

If you thrive in a fast-paced start-up environment, enjoy solving complex challenges, and want to be part of a leadership team that values innovation and collaboration, this could be the perfect opportunity for you!

Key Responsibilities:

Lead the development and ongoing enhancement of the company's SaaS platform.
Work closely with the founders, external development teams, and compliance partners.
Take ownership of the Azure DevOps environment, ensuring best practices for CI/CD and cloud management.
Hands-on development using React, Next.js, C#, and .NET.
Manage technical conversations with clients, supporting pre-sales as required.
Monitor Azure spend and recommend improvements to optimize performance and costs.
Ensure compliance with industry standards such as ISO27001 and SOC2.
Lead and mentor a growing internal development team.
Drive future advancements in AI and Machine Learning within the platform.

Key Technical Skills:

HTML5 / JavaScript
React & Next.js 13
Tailwind CSS
C# / .NET
Azure / DevOps Management
GitHub
Jira (for issue tracking and collaboration)

What We're Looking For:

3+ years of hands-on development experience in the core tech stack.
A creative problem solver who enjoys working in a fast-moving start-up environment.
Strong leadership skills with the ability to mentor and grow a technical team.
Excellent communication skills, able to engage with clients and stakeholders.
A flexible and adaptable mindset, ready to take on challenges with enthusiasm.
Experience working with compliance standards (ISO27001, SOC2) is a plus.

What's in it for you?

A salary of up to £80,000 plus equity options.
The chance to shape the technical direction of an exciting start-up.
Work with a passionate and dynamic founding team.
Opportunities for professional growth and exposure to cutting-edge technologies.
A collaborative and fun work environment where your ideas are valued.

If you're excited about this opportunity and want to be part of an ambitious and growing company, we'd love to hear from you

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 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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.