Senior Engineer, Machine Learning Platform

Super; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

Super is building The Playstack ML Platform to empower engineering teams across Europe and Latin America. As a Senior Engineer, you will design and ship a backend platform for ML experimentation, deployment, and monitoring, enabling scalable AI across hundreds of thousands of users daily.

You will mentor engineers, drive architecture, and collaborate with data scientists and product teams to translate requirements into reliable, secure, high-performance services.

Qualifications

• 7+ years of professional experience as Backend Engineer or similar role.
• Strong Python programming skills.
• Proven experience designing and building distributed systems and APIs at scale.
• Hands-on experience with real-time data processing frameworks (e.g., Kafka, Flink, Spark Streaming, Pulsar).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes).
• Strong understanding of data modelling, storage systems, and streaming/processing architectures.
• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Familiarity with ML model lifecycle management (training, deployment, monitoring).
• Excellent collaboration and communication skills, with the ability to work cross-functionally.

Responsibilities

• Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring.
• Re-architect and rebuild existing data pipelines to handle real-time data processing and support production ML models.
• Develop tools for ML engineers to design, test, and deploy ML pipelines.
• Ensure platform services are robust, secure, and meet high performance standards.
• Collaborate with ML engineers, data scientists, and product teams to translate needs into platform capabilities.
• Drive adoption of ML best practices and promote reusability of tools across teams.
• Contribute to overall architecture and vision of the ML platform to scale with company growth.
• Mentor junior engineers and foster knowledge sharing and continuous improvement.

Skills

Python

Distributed systems

Real-time data processing (Kafka, Flix

Tools

Docker

Kubernetes

Job description

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.

As a Senior Engineer in our ML Platform squad, you will drive the development of a brand-new ML Platform for the whole Engineering organisation at Super Technologies. You will enable adoption of ML and AI across all teams and tribes, with your work directly impacting platform security, user experience, and large‑scale data‑driven decision‑making for hundreds of thousands of users daily. This role blends hands‑on technical work with strategic thinking — you will lead by example, contribute high‑quality code, and help shape the ML roadmap through cross‑functional collaboration.

What The Role Involves

• Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring.
• Re‑architect and rebuild existing data pipelines to handle real‑time data processing and support production ML models.
• Develop tools that make it easier for ML engineers to design, test, and deploy ML pipelines.
• Ensure platform services are robust, secure, and meet high standards for performance and reliability.
• Collaborate with ML engineers, data scientists, and product teams to understand their needs and translate them into platform capabilities.
• Drive adoption of ML best practices and promote reusability of tools across teams.
• Contribute to the overall architecture and vision of the ML platform, ensuring it can scale with the company's growth.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

What We Are Looking For

• 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role.
• Strong programming skills in Python.
• Proven experience designing and building distributed systems and APIs at scale.
• Hands‑on experience with real‑time data processing frameworks (e.g., Kafka, Flink, Spark Streaming, Pulsar).
• Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes).
• Strong understanding of data modelling, storage systems, and streaming/processing architectures.
• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Familiarity with ML model lifecycle management (training, deployment, monitoring).
• Excellent collaboration and communication skills, with the ability to work cross‑functionally.

Nice to have

• Experience building or working on ML platforms or MLOps frameworks.

What We Offer

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development

Additional benefits vary by country and will be shared during the hiring process.

Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).

At Super, we operate as a high‑performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.