Application Developer

Hey Savi
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Junior

Graduate Data Engineer

Machine Learning Research Engineer - NLP / LLM

Machine Learning Research Engineer - NLP / LLM

Machine Learning Scientist

Data Scientist Agriculture

About Hey Savi

We’re a fully female-founded company on a mission to change the way people search and shop online for fashion…forever! We’re going to spark a new era of fashion discovery, igniting confidence in everybody and every body, and to create a world where fashion confidence starts with “Hey Savi…”.

Hey Savi is at the beginning of an exciting journey and we’re looking for top talent to join our team. Unlike many start-ups we’re well funded, have a detailed business and financial plan, and are looking for experienced, passionate professionals to join us in creating and scaling a game-changing business. 

So if you want a role where you will make a major impact and want to be a part of a team of women building an incredible product and experience for other women, come join us and make the most Savi move of your career! 

About the Role

We’re looking for an experienced Application Developer to build our world-class consumer app from the ground up—a truly greenfield project that will redefine how women search and shop online. This role is perfect for someone who thrives on shaping technical strategies and tackling the challenges of creating something entirely new. You’ll have the chance to define the architecture, integrating cutting-edge machine learning integrations for personalised fashion recommendations, delivering a delightful, user-first experience.

Requirements

Key Responsibilities

  • Technology Strategy:Lead the Application development architecture and strategy, evaluating native and hybrid alternatives.
  • Rapid Prototyping: Rapid prototyping and experimentation through PoCs to evaluate viable options for implementing upcoming  features.
  • Development of High Quality Applications: Develop, test and maintain mobile applications for iOS platforms, ensuring high performance, responsiveness and scalability.
  • Cross-functional Collaboration: Collaborate with cross-functional teams (designers, product managers, backend developers) to define, design and implement new features.
  • Writing Clean Code: Write clean, maintainable and well-documented production code following best practices.
  • Up-keeping Best Engineering Practices: Follow agile development practices, applying extreme programming practices like combining multiple automated testing techniques, continuous integration and delivery.
  • Performance Optimisation: Monitor and enhance application efficiency, debugging and resolving issues as they arise.
  • Team Mentorship:Contribute to the team growth through hiring and mentoring new team members.

Desirable Experience In:

  • Native mobile app development in iOS
  • Swift, SwiftUI, and UIKit for iOS development
  • Building hybrid applications with technologies such as React Native, Flutter, PWA
  • Architectural patterns (MVC, MVVM, SOLID) and best practices
  • Managing the application lifecycle from integration to release, using tools and techniques such as: Git, CI/CD, Github Actions, SPM, TestFlight, Crashlytics
  • Agile development processes, including testing frameworks like XCTest

Ways of Working

We know HOW you work is as important as what you work on so we’re looking demonstrable skills and experience with the following competencies and ways of working:  

  • Product Mindset and Customer Focus:You’re passionate about creating meaningful experiences that address real user needs. You have a strong desire to understand customer behaviour and deliver solutions that inspire confidence and delight, keeping a critical eye on available data to evaluate outcomes of each development iteration.
  • Adaptable and Resourceful Problem Solver: You learn quickly and adjust to new context, tools, and technologies. You’re comfortable experimenting and pivoting when needed to find the best solution. You approach challenges with no pre-established solution with curiosity and independence, seeking out viable options and taking ownership of the whole process.
  • Collaborative Team Player: You thrive in a collaborative environment and enjoy working closely with cross-functional teams to achieve shared goals.
  • Effective Communicator: You excel at conveying information clearly, telling compelling stories, and influencing diverse audiences. Whether collaborating with technical teams or engaging non-technical stakeholders, you ensure alignment, understanding, and impact across different contexts and backgrounds.

PLEASE NOTE: If you don’t meet 100% of the criteria but arepassionate about our mission and visionand think you cando the job, especially if the person we described in ways of working resonated with yourpersonal values, principles andwork ethos, westrongly encourage you to apply!

Location + Work Style

We’ll all be where we need to be based on what’s happening. We’ll have in-person team sessions (usually once a week) as needed for key activities like planning, strategy, and brainstorming sessions (and some fun!), and remote work the rest of the time to allow for flexibility, work-life balance, and quiet time for deep work. 

Hey Savi is based in London and are looking for people in the UK and Europe to join our team. We regret that we can’t hire candidates from other locations or provide Visa sponsorship yet, but check back with us as we grow as we’ll be global soon!

Benefits

Salary:£50,000 to £70,000

Benefits:

UK 26 days PTO plus bank/national holidays

Employee equity

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.