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

Nominate & Attend

Senior Software Engineer

Awaze
Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineer – API & ML Infrastructure

Senior Software/Data Engineering Lead

Senior C++ Software Engineer

Senior Data Engineer

Senior Data Engineer

Welcome to Awaze, Europe's largest holiday vacation rentals group. A family of iconic travel brands including Cottages.com, Hoseasons & Novasol. With over 1.5 million bookings each year, we're proud to offer our guests a choice of over 100,000 properties in our portfolio, in 25 countries across Europe. Why join us? Since 2021, we’ve built up a great technology team of engineers in the UK & Denmark (c.200), responsible for solving the largest technology replatforming project ever in the travel industry. As we roll out our new core platform in 2024, it's a genuinely exciting time to join us as we continue to innovate, evolve and grow our platforms with one simple vision and aim: "to delight our owners and guests." Do you want to join in the fun of transforming the travel industry? Role: Senior Software Engineer | Point in Time Pricing team Joining our engineering teams, you’ll join a culture which revolves around getting things done. We deliver with small, fully autonomous teams that have real ownership of their products using a cutting edge stack in a best-idea-wins meritocracy. We operate what we build – which means reliability is key and devops is part of every engineer’s job description. Day-to-day you will: Work as part of a full stack product team responsible for building innovative products to ensure we continue to deliver optimal experiences for our guests and owners. Have the opportunity to be the guiding technical force within the team, pairing with the more junior developers, and delivering software in a modern agile environment. Work alongside other engineers and a data scientist to provide the best prices for our customers and for the business. Help shape the overall architecture and tech strategy for the Point in Time pricing platform using the right technology for the task, rather than allowing the technology to dictate the solution. Contribute to driving best engineering practices such as CI/CD, TDD, cloud architectures and pair programming. Be an active member of the engineering and wider tech community within Awaze What will you offer? As the Point in Time Pricing team continues to mature our offerings, we’re looking for a senior software engineer to help drive best practice and help to shape the technical direction of the team going forwards. We're looking for an experienced Senior Engineer (back end | infrastructure focussed), with the ability to guide your peers on best practice. Experience with some (or all) of the following and an ability and willingness to learn would make you a great match to come and join us: AWS: developing and deploying cloud native solutions using Terraform or similar IaC tools (ESSENTIAL) Server-side development using GO, Node.js or Python FastAPI Relational database technologies , such as PostgreSQL, including experience with query optimisation and schema design Non-relational database technologies such as DynamoDB or MongoDB Familiarity with containerisation technologies (Docker, Kubernetes etc) Experience with modern quality practices , such as pairing, TDD, BDD We'll reward you whilst growing your career: Competitive Base bonus Holidays: 25 days bank holidays Holiday Discounts: 18% discount across all AWAZE UK brands Pension: 4% matched Healthcare: personal Life assurance: 3 x salary Perkbox: Annual subscription Get in touch, we'd love to chat: If you're interested in transforming the industry and reinventing how our technology powers everyday amazing holidays, please send your profile to jody.marksawaze.com and let's chat today.

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.