Senior Engineering Manager

Gecko
Edinburgh
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Software Team Manchester

Senior SQL Data Engineer

Data Engineer Manager

Technical Lead - Software Engineering (Platform)

Senior Security Architect

At Gecko, our mission is clear: to revolutionise student engagement. We’re dedicated to creating innovative software that transforms how universities and colleges connect with their students. Every line of code and feature we develop is driven by our passion for making a real difference in the education sector.  But what truly sets us apart is our commitment to excellence, our vibrant culture, and our amazing team. 

We strive to be the world’s most successful student engagement platform, pushing boundaries with groundbreaking technology and exceptional customer service. Join us in building something extraordinary and shaping the future of student engagement.

Engineering Leadership That’s About Execution, Not Bureaucracy.

Are you anengineering leaderwho thrives in afast-paced, execution-driven environment? Do you cut through the noise, make high-impact decisions, and drive teams todeliver at speed? If so, we want to talk.

AtGecko, we’re revolutionising howhigher education institutions engage with students. Our SaaS platform is used by some of the world’s leading universities, and we need aSenior Engineering Managerwho can take ourengineering team to the next level.

The Role ✅

This is not a ‘sit-back-and-observe’ leadership role. As ourSenior Engineering Manager, you will be hands-on -leading, coaching, making critical calls, and ensuring flawless execution. You’llown delivery, drive high performance, and optimise processesto keep our engineering team aligned and efficient.

You’ll oversee a team of16 engineers, includingTech Leads, Engineering Managers, and QA, while working cross-functionally with Product, Security, CS, and Sales. We need someone who canmake rapid, high-impact decisionsand create an engineering culture that’s focused onoutcomes, speed, and impact.

What You’ll Be Doing ⚙️

  • Own Engineering Delivery: Ensure projects, features, and system improvements are deliveredon time and at a high standard.
  • Lead & Scale the Team: Manage and coachTech Leads and an Engineering Managers, ensuringclarity, accountability, and professional growth.
  • Optimise Engineering Processes: Refine sprints, stand-ups, and planning tocut inefficiencies, eliminate unnecessary meetings, and remove roadblocks. Drive a lean approach to engineering execution that maximises impact while minimising wasted effort.
  • Drive Technical & AI Strategy: Oversee theharmonisation of our PHP-based stack, ensuring we’re AI-ready and scalable.
  • Cut Through Noise & Focus on Impact: Makefast, pragmatic decisionsthat accelerate delivery.
  • Ensure Security & Compliance: Work closely with our Security & Compliance Manager to embed best practices and industry standards (ISO, SOC2, etc.).
  • Manage Stakeholders & Resources: Work withProduct, CS, Sales, and Securityto align priorities, while keeping AWS and software costs under control.

What We’re Looking For 

  • Proven Engineering Leadership: Experience leading10+ engineersin a SaaS or scale-up environment.
  • Delivery-Driven Mentality: A no-nonsense,get-it-doneapproach to execution, with a strong focus on measuring and improving performance to track velocity and continuously optimise output.
  • Technical Background: Deep understanding of backend engineering,ideally PHP (Laravel, Lumen) and AWS infrastructure.
  • AI & Machine Learning Exposure: Familiarity withAI-driven technologiesand their application within SaaS products.
  • Startup DNA: Comfortable working inan agile, fast-moving environmentwhere priorities shift and execution speed is king.
  • Process Optimisation MindsetExperienceimproving engineering velocitywhile maintaining high-quality output.
  • High-Impact Decision Maker: Able to makebold, pragmatic decisionsquickly.
  • Security & Compliance Awareness: Understanding of best practices and industry standards (ISO, SOC2, GDPR, etc.).
  • Excellent Communication & Stakeholder Management: Ability to engage with engineers, leadership, and customers to drive results.

What’s In It for You? 

  • Work-Life Balance:33 days of holiday, optional compressed 4-day workweek, and flexible working arrangements.
  • JFDI Attitude:We believe in getting things done within a short 34-hour workweek - work with a team that moves fast and delivers real impact.
  • Remote Flexibility:Embrace remote working with a stellar home office setup, also including MacBook Pro and headphones of your choice.
  • Workation:Take your work on the road and explore new horizons.
  • Perks Galore:Private healthcare, pension, death in service, EAP, and employee discounts & benefits via Perkbox.
  • Dynamic Virtual Environment:Work with some of the best in the biz in a dynamic, energetic, and super fun vibrant virtual office environment, where collaboration knows no bounds.
  • You can find out more about working with ushere⬅️

Ready to Lead, Build, and Deliver? 

If you’re the kind ofSenior Engineering Managerwhomakes things happen, leads from the front, and thrives in a high-performance culture, then we want to hear from you. 

ClickApply Nowand let’s talk...

Using AI in Your Application

At Gecko, we encourage you to use AI tools to enhance your application, but we value authenticity and honesty. Use AI to refine your content, but do ensure it truly reflects your skills and experiences.

For more on responsible AI use in job applications, visit ourAI guidance page

We’re excited to see your authentic skills and experiences shine!


giphy.gif

*Please note that we can only accept applications from UK-based applicants who already have a valid right to work in the UK.

**Agencies, we kindly ask that you read thisHiring Noticebefore getting in touch.

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.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.