Leads and grows the US data science capability while remaining hands-on with coding, machine learning model development, deployment, and MLOps. Mentors data scientists and machine learning engineers, establishes workflows and standards, translates business problems into scalable solutions, and partners with product, data, and UK-based teams. The role emphasizes rapid delivery, production-grade systems, stakeholder communication, and Google Cloud-based model automation, monitoring, and deployment. The summary above was generated by AI Company Description We're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling and gaming. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description This is an exceptional, hands-on, player/coach opportunity to establish, shape, and lead our Data Science capability in the United States. As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and executing machine learning solutions, while simultaneously mentoring and growing a high-performing team of US-based Data Scientists and Machine Learning Engineers. We are intentionally recruiting for a specific kind of professional: someone with a startup mindset who thrives in fast-paced environments, possesses a strong bias for action, and values execution over theoretical complexity. To succeed, you must be a pragmatic problem solver who enjoys getting their hands dirty while building scalable, production-grade solutions. Excellent stakeholder management is paramount. You will work as a key collaborative partner alongside the US Data Team Lead, Data Product Lead, and AgentOps Team Lead within the wider US Data team, while maintaining strong operational alignment and knowledge sharing with our established UK-based Data Science team. The listed salary for this position is $155,000 - $165,000 annually. Qualifications Proven experience working in a fast-paced, agile, or startup-like environment. You must have a demonstrated passion for "getting things done" and delivering value iteratively. Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development. A strong track record of designing, building, deploying, and maintaining machine learning models in production environments Superior communication skills with the ability to build strong cross-functional relationships and translate technical concepts into business outcomes for both technical and non-technical audiences. Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn, Pandas, NumPy, XGBoost, etc.). Advanced SQL proficiency for querying and manipulating large datasets, preferably within Google BigQuery. Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints). MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or equivalent practical industry experience. Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine learning. Experience with real-time stream processing or event-driven architectures (e.g., Kafka). Additional Information In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models, leading by example in technical execution and code quality. This is not a pure people-management role. Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software engineering discipline. Partnering closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities. Collaborating regularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities. Translating complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles. Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable. Establish data science workflows, standards, and code repositories from scratch in a new regional office. bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Read Full Description HQ bet365 Denver, Colorado, USA Office bet365 Denver, CO Office Close Located right in the heart of downtown, our office is surrounded by world-class dining and cultural activities, making it easy to enjoy the best the city has to offer. With the stunning backdrop of the Rocky Mountains, Denver truly is a vibrant urban center that offers the perfect blend of city life Similar Jobs at bet365 bet365 Cloud Platform Engineer 2 Days Ago Hybrid Denver, CO, USA 110K-150K Annually Entry level 110K-150K Annually Entry level Digital Media

• Gaming
• Software
• Esports
• Automation Build, operate, and support cloud resources for sports trading and core systems.

Partner with product delivery teams and the central cloud platform team to deliver self-service automation, apply cloud standards, support stakeholders, and promote modern engineering practices. Responsibilities include end-to-end cloud resource delivery, public cloud adoption, infrastructure automation, platform operations, and continuous improvement across critical software products.

Top Skills:

Bash Ci/Cd Cloud Networking G-Cloud Cli Git Gitops Gke Go GCP Google Cloud Billing Google Cloud Iam Google Cloud Projects And Folders Infrastructure As Code (Iac) Ingress Kubernetes Monitoring Python Service Mesh Terraform bet365 Engineering Manager 3 Days Ago Hybrid Denver, CO, USA 130K-160K Annually Senior level 130K-160K Annually Senior level Digital Media

• Gaming
• Software
• Esports
• Automation Leads and develops a software engineering team responsible for real-time, event-based bonus systems.

Oversees people, delivery, governance, quality, architecture, risk mitigation, and process improvement. Drives SDLC transformation through AI and agentic workflows, removes delivery blockers, mentors developers, and remains hands-on with technical solutions. The role requires expertise in scalable, highly available, low-latency systems, server-side and frontend development, databases, messaging, and middleware.

Top Skills:

Agentic Workflows AI Databases Event-Based Systems Messaging Middleware React Server-Side Development Typescript bet365 Senior Software Engineer 3 Days Ago Hybrid Denver, CO, USA 125K-155K Annually Senior level 125K-155K Annually Senior level Digital Media

• Gaming
• Software
• Esports
• Automation Lead a small team developing and supporting a business-critical verification platform.

Design and deliver scalable, maintainable, performant systems during a ground-up re-architecture using Golang, React, cloud platforms, Kafka, SQL, .NET, and TypeScript. Provide technical leadership, solution governance, estimation, hands-on development, escalation support, code-quality oversight, and coaching while collaborating with UK teams and ensuring reliable delivery.

Top Skills:

.Net C# Cloud Platforms Facial Recognition Ai Go Kafka Microservices Microsoft Sql Server React SQL Typescript Wpf What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech Number of Tech Workers:

260,000; 8.5% of overall workforce (2024 CompTIA survey)

Major Tech Employers:

Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3

Key Industries:

Software , artificial intelligence , aerospace , e-commerce , fintech , healthtech

Funding Landscape:

$4.9 billion in VC funding in 2024 (Pitchbook)

Notable Investors:

Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures Research Centers and Universities:

Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute