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

Nominate & Attend

Software Development Engineer / Engineering Software

Property Finder
London
5 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer III - Data Engineer - Python, SQL - Senior Associate

Software Engineer II - Data Engineer, Python, SQL - Associate

Lead Python Software Engineer

Head of Engineering

Senior MLOps/GenAI Infrastructure Engineer

Senior Data Engineer

Relocation would be required but with highly competitive, tax free salary package.A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, Egypt and Turkey over the yearsThe company is one of the largest technology start-ups in the region and a recent Unicorn.

As the VP, Engineering for Enterprise B2B Services, you will head the strategic development and execution of Property Finder’s client-facing applications and enterprise catalog services.Your responsibilities include overseeing engineering managers and technical leads to deliver high-quality software adhering to modern architectural standards.Champion collaboration across product management, design, and engineering teams to develop market-leading enterprise services and data products.Propel the integration of AI technologies within product and engineering teams to foster innovation and enhance product offerings.Mentor and guide engineering managers and technical leaders, enhancing team productivity, engagement, and performance.Direct initiatives for the modernization of legacy systems and accelerate the delivery of new product capabilities within B2B services and data solutions.Oversee critical domains such as Enterprise Catalog Services, Client-Facing B2B Applications, Agent Experience, and Agent Onboarding Platforms, to ensure optimal performance and user satisfaction.Manage the deployment of web applications across more than five countries in the MENA region, customizing solutions to meet diverse local compliance and business needs.Implement stringent engineering processes and governance throughout the product development lifecycle to guarantee the delivery of high-quality releases.Define project timelines and oversee execution strategies in close collaboration with product management.Cultivate an environment that attracts, develops, and retains elite engineering talent while promoting an inclusive workplace culture that encourages innovation and professional growth.Promote a culture of quality, speed, and excellence in operational practices within the engineering teams, leveraging metrics for continuous improvement.Minimum of 15 years in engineering leadership, managing expansive, geographically dispersed software engineering teams.Demonstrated success in architecting and scaling exceptional engineering organizations.Deep understanding of contemporary software engineering practices, architectural norms, and team dynamics.Strong background in data products and AI technology landscapes.Comprehensive experience overseeing the entire software development lifecycle of SaaS products.

Proficiency in data-driven product development.Knowledge in machine learning and cutting-edge technologies.Well-versed in agile software development methodologies.In-depth understanding of security, privacy, and compliance within SaaS ecosystems.Go, PHP, Python, Swift UI, Kotlin, React, AWS, and Kubernetes.

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.