BackEnd Developer - Abu Dhabi - 12 months - Relocation package

Abu Dhabi
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Golang Developer - 2 Day London - Inside IR35

Javascript Developer

Software Engineer

AWS Backend Engineer (Inside IR35)

New Stack Developer

Frontend Developer/Design Lead

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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.