C# Software Engineer

682 OpenBet Limited
London
1 year ago
Applications closed

Related Jobs

View all jobs

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Machine Learning Engineer

Senior Machine Learning Engineer, Gen AI

Lead Machine Learning Engineer, Gen AI

Advisory AI Infrastructure / MLOps Engineer

Who We Are:

The world's top sports betting and lottery brands choose OpenBet as their partner for world class content, leading tech and tailored service. We have their back, so they’re ready with exciting, memorable and safe sports betting experiences to entertain billions of players worldwide.Endeavor is a global sports and entertainment company, home to many of the world’s most dynamic and engaging storytellers, brands, live events, and experiences. The Endeavor network specializes in talent representation through entertainment agency WME; sports operations and advisory, event management, media production and distribution, and brand licensing through IMG; live event experiences and hospitality through On Location; full-service marketing through global cultural marketing agency 160over90; and sports data and technology through IMG ARENA and OpenBet. Endeavor is also the majority owner of TKO Group Holdings (NYSE: TKO), a premium sports and entertainment company comprising UFC and WWE.

ThePremium Pricing teamof ourData Sciencedepartment is seekingfor a Software Engineer. This role involves developing and enhancing product features, optimizing code for efficiency and readability, and creating innovative solutions to support the wider team.

These are just some of the tasks you may work on as a Software Engineer within the Data Science team at OpenBet.

Develop sports betting pricing models. Design comprehensive reporting services. Develop and promote coding best practices for high-quality, maintainable, and scalable software. Document processes behind projects and features. Enhance model infrastructure for innovative features and products.

If you are the right candidate for us you will be able to demonstrate: 

An undergraduate degree in a computer science/software engineering field.

Master’s degree or PhD in a related field will be an asset.

Practical experience using .NET development, specifically C#. Extensive experience using Python.

Strong understanding of at least two sports and basic betting concepts.

Understanding of APIs and their interaction with .NET applications.

It would also be great to see these skills/experiences as well:

2+ years of experience in software engineering with a focus on optimization.

Practical experience with performance tuning and benchmarking.

Good understanding and practical experience with cloud computing platforms (Azure, AWS).

Strong understanding of at least two sports and basic betting concepts.

Comprehensive knowledge of multiple sports and advanced betting concepts.

Why would you enjoy working with us at OpenBet?

Competitive benefits, including pension plan and private insurance for you and your family members as well as extra leave days for volunteering and other purposes. The opportunity to work within a trulyinternational Company, where you can expect the diversity and the opportunities of the world, mixed with a people-friendly culture. A wide palette oftraining opportunitiesand internal and external learning sources, from onboarding to on-the-job training by our subject matter experts. Hybrid working model with the expectation to work 2 days a week in the office. As a software house, we have a relaxed but highly professional environment with excellent facilities available, including an on-site canteen & gym, showers, video, board, and electronic sports games as well as a lending library. We love to get together and throw several group events, tocelebratenewcomers, enjoy some good meals together, and show off our sports talents as part of company tournaments (basketball, table tennis, and others!).

#LI-MK2

#LI-Hybrid

Endeavor unites and brings people together in our love of sport, culture, and entertainment. We understand this can only be accomplished when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture, we strive to reflect the world’s diverse voices. Endeavor is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.