At a Glance
- Tasks: Design and implement scalable AI solutions for sports betting applications.
- Company: Join Sportserve, a leader in sports betting technology with a diverse global team.
- Benefits: Enjoy flexible work options, including remote and hybrid roles, plus exciting career growth.
- Why this job: Be part of a high-impact team shaping the future of AI in sports betting.
- Qualifications: 10+ years in software engineering with backend focus; expertise in Python, C#, and distributed systems.
- Other info: We value diversity and encourage applications from all backgrounds.
The predicted salary is between 48000 - 84000 £ per year.
Sportserve forms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first-class sports betting experiences and casino products for our users worldwide. Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are the driving force behind the world-renowned sports betting company and our flagship brand, Dafabet. Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations and Media. We pride ourselves on having a diverse and international culture that embraces the global community and acts locally. We offer office-based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice.
As a Staff Machine Learning Engineer with a backend focus, you will play a pivotal role in shaping scalable AI and algorithmic solutions that directly address complex business challenges. You are expected to possess a deep understanding of both the technical and domain-specific landscapes, enabling you to architect robust systems that integrate seamlessly with our platforms. You will be part of a high-impact team that works at the intersection of data, machine learning, and backend engineering.
What you’ll be getting up to:
- Design and implement efficient, scalable solutions that support advanced algorithmic and AI/Machine Learning-driven applications.
- Define and architect solutions that are structurally sound and align with best practices, ensuring robust integration with data-driven systems.
- Collaborate with various departments to integrate machine learning models and complex algorithms into business-driven applications.
- Support and improve existing AI/Machine Learning solutions.
- Take ownership of code quality, testing, and documentation to maintain high standards and continuous improvement across projects.
- Stay engaged in new technologies, AI advancements, and domain-specific knowledge, bringing fresh insights and approaches to the team.
Required Technical Skills:
- 10+ years experience as a Software Engineer with a focus on high throughput distributed systems with a focus on the backend.
- Proven experience in backend development with proficiency in languages such as Python, C# on Linux, Go, or similar.
- Utilise Advanced Technical Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions.
- Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on efficiency and optimisation.
- Experience with architecting and implementing large-scale, distributed systems that handle significant data processing.
- Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.
- Knowledge of databases (SQL and NoSQL) and experience in designing data storage solutions that support machine learning workflows.
- Advanced experience with PostgreSQL (stored procedures, functions, views, etc.).
- Fluent with GCP cloud platform and containerization tools (e.g., Docker, Kubernetes).
- Implement and optimise CI/CD pipelines for machine learning model deployment using Gitlab CI.
- Monitor system performance and implement improvements for scalability.
- Participate in code reviews and technical documentation.
- Experience with version control systems (Git) and collaborative development workflows.
Requirements:
- Passion for continuous learning and a keen interest in exploring and mastering new domains, especially in AI/ML and data-driven technologies.
- Strong analytical skills and an ability to translate complex problems into effective, scalable solutions.
- Excellent communication skills to effectively collaborate with cross-functional teams and articulate technical concepts to diverse stakeholders.
- Excellent command of the English language - written & spoken.
- Attention to detail and commitment to quality.
- Collaborative team player.
- Highly organised with a strong ability to prioritise across multiple projects.
Diversity & Inclusion at Sportserve: At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace. We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives. Embracing diversity not only enriches our work culture but also drives innovation and excellence. We are proud to be an equal opportunity employer, where everyone’s contribution is valued and respected.
If you’re passionate about technology and looking to start your career in an international, forward-thinking Sports Betting company, we’d love to hear from you. Apply now to become part of our exciting journey!
Staff Machine Learning Engineer employer: Sportserve
Contact Detail:
Sportserve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, SQL, and GCP. Having hands-on experience or projects that showcase your skills in these areas can set you apart during the interview process.
✨Tip Number 2
Engage with the latest trends in AI and machine learning by following relevant blogs, attending webinars, or participating in online communities. This will not only enhance your knowledge but also demonstrate your passion for continuous learning to potential employers.
✨Tip Number 3
Prepare to discuss your previous experiences with large-scale distributed systems and how you've tackled complex problems. Be ready to provide specific examples of your contributions and the impact they had on your team or project.
✨Tip Number 4
Network with current employees or professionals in the sports betting and technology sectors. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Staff Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in backend development and machine learning. Emphasise your proficiency in languages like Python and C#, as well as your experience with distributed systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Discuss specific projects or experiences that demonstrate your ability to design scalable solutions and collaborate with cross-functional teams.
Showcase Technical Skills: Include a section in your application that lists your technical skills, particularly those mentioned in the job description, such as experience with PostgreSQL, GCP, and CI/CD pipelines. This will help you stand out as a qualified candidate.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to AI/ML technologies. This shows your commitment to staying updated in the field and aligns with the company's value of continuous learning.
How to prepare for a job interview at Sportserve
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with backend development and the specific technologies mentioned in the job description, such as Python, SQL, and machine learning libraries. Highlight any projects where you've implemented scalable solutions or worked with large-scale distributed systems.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice articulating your thought process when solving complex problems, especially those related to data structures and algorithms. This will showcase your analytical skills and ability to translate problems into effective solutions.
✨Emphasise Collaboration and Communication
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others. Discuss how you communicate technical concepts to non-technical stakeholders, as this is crucial for the position.
✨Stay Updated on AI/ML Trends
Show your passion for continuous learning by discussing recent advancements in AI and machine learning that excite you. Mention any relevant courses, certifications, or personal projects that demonstrate your commitment to staying current in the field.