Senior Mobile Engineer

Hard Rock Digital
Bristol
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Head of Data Science

Data Scientist – Advanced Analytics

Mobile App Marketing Data Analyst

Senior Data Engineer

Senior Data Engineer - Energy

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world. We’re building a team that resonates passion for learning, operating and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us?


What’s the position?

This is an exciting opportunity to join our rapidly growing technology team, responsible for continuous growth and support of an unrivaled betting experience for millions of sports fans everywhere. We’re looking for a Senior Mobile Engineer who will bring their creativity and experience to Hard Rock Sportsbook to help us build software with a spark of magic. This is a role that works closely with Product Management, Design, QA, and Backend Engineering to deliver a full-featured mobile app. The candidate should have a strong track record developing React Native apps, as well as experience with iOS and/or Android apps, preferably with a background in sportsbook, gaming, or a related industry.

Your responsibilities will include:

  • Working in an agile, cross functional, team working to deliver the best possible platform experience on multiple platforms
  • Develop a high-performance mobile application used daily by tens of thousands of players in React Native for iOS and Android platforms
  • Skilled in breaking down features into requirements, giving time estimates, and writing test procedures
  • Working in a highly regulated industry
  • Work with business partners to continually develop, evolve and improve the mobile application
  • Collaborate with the team to develop backend api’s that support both iOS and Android mobile platforms
  • Participate in testing, code reviews, and continuous integration, ensuring the delivery of high-quality code and stable applications
  • Be focused on the end user’s experience and iteratively improve performance
  • Implement analytics in all aspects of the application and analyze results


What are we looking for?

We are looking for an engineer who is willing to tackle problems with innovative ideas and quality technical implementations. We believe the perfect candidate isn’t interested in just what we’re building right now, but wants to understand where we’re going and how it impacts the customer to ensure everything we create moves us closer to our goal: delivering the best customer experience.

The ideal candidate will have:

  • Min 5+ years of experience in developing mobile applications (native or hybrid)
  • Min 3+ years experience developing in react native
  • Extensive experience with state management, specifically mobx
  • Extensive experience with rest, websockets and graphql
  • Extensive experience developing in react-native using TypeScript
  • Prior experience developing on native android an iOS using Java, Objective-C, and/or Swift
  • Strong communication skills (both written and verbal)
  • Bachelor’s degree in Computer Science or related field
  • Knowledgeable in aspects of the mobile development lifecycle, including application development, application structure, device and operation system APIs, debugging, performance, security, and deployment
  • Knowledge and understanding of client-server development in mobile environment, and proven architect skills
  • Experience with continuous integration and delivery with Apple and Google App Stores
  • Utilization and integration of mobile features like Push Notifications, Background Loading, Offline Content Storage, etc.


What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

  • Competitive pay and benefits
  • Flexible vacation allowance
  • Flexible work from home or office hours
  • Startup culture backed by a secure, global brand
  • Opportunity to build products enjoyed by millions as part of a passionate team


Roster of Uniques

We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer)

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 Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

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.