Senior Software Engineer

Awaze
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Data Science Infra & Optimization

Senior Data Engineer

Senior Machine Learning Engineer

Machine Learning Engineer

Senior Data Engineer: Python, Databricks & AWS

Senior Bioinformatics 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.

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.