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

Apply Now

BackEnd Developer - Abu Dhabi - 12 months - Relocation package

Abu Dhabi
7 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Senior Machine Learning Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Forward Deployed Data Scientist

Forward Deployed Data Scientist

Backend Developer Role working for a consultancy based in Abu Dhabi

Role - BackEnd Developer

Duration - 12 months

Location - Abu Dhabi

Rate - £500 - £550 per day

Relocation - £10,000 relocation package (£5,000 expenses and £5,000 accommodation) and visa

Position Summary:

We are seeking a talented and motivated Senior Back-end Engineer to join our growing team. As a Senior Back-end Engineer, you will be working across the entire web stack, so a real passion to drive the product and technology forward is something that we highly value. You will work cross-functionally to deliver user-centric solutions to our customers and become an expert in developing high-quality technical solutions through continuous learning and collaboration.

Day-to-day responsibilities would include a combination of the following:

Design, develop, and maintain robust server-side applications and APIs to support front-end functionality and ensure seamless data flow.
Create and optimize database schemas, write efficient queries, and ensure data integrity, scalability, and security across various databases (e.g., SQL, NoSQL).
Ensure the security of applications by implementing robust authentication, authorization, and data encryption protocols.
Work closely with front-end developers to integrate user-facing elements with server-side logic and collaborate with DevOps to deploy and monitor applications effectively.
Analyse, troubleshoot, and optimize backend processes to improve application performance, reduce latency, and enhance the overall user experience.
Connect the application with third-party services and APIs, ensuring smooth data exchange and maintaining service reliability.
Adhere to coding best practices, including writing clean, maintainable, and well-documented code that can be easily understood and scaled.
Perform unit testing, integration testing, and debugging to ensure high-quality code and reduce the occurrence of bugs or errors in production.
Continuously monitor application performance, identify bottlenecks, and implement solutions to improve efficiency and reliability.

Apply for this role if you are:

Have experience in developing and deploying machine learning models with a proven track
Understand statistical analysis and hypothesis testing
Use data visualization tools (e.g., Tableau, Power BI) to present insights
Handle database systems and data manipulation
Excel in problem-solving and critical
Communicate complex technical concepts clearly to non-technical
Collaborate effectively in cross-functional teams and manage multiple projects

Qualifications:

Bachelor's or Masters Degree in Computer Science, Information Technology, or a related
Experience as a Full Stack Developer or in a similar role is a
Proficiency in server-side languages such as Java and
Familiarity with database technologies like Snowflake, Postgress, MySQL, Oracle,
Experience with version control systems like Git and continuous integration/continuous delivery
Strong problem-solving skills and troubleshooting
Familiarity with Agile development

GCS is acting as an Employment Business in relation to this vacancy

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 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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.