King

About the Company

With a mission of Making the World Playful, King is a leading interactive entertainment company with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile game hits such as Farm Heroes Saga. Candy Crush has been the top-grossing franchise in U.S. app stores for six years, and King games are played by more than 200 million monthly active users. King, a part of Activision Blizzard which was acquired by Microsoft (NASDAQ: MSFT), has game studios in Stockholm, Malmö, London, Barcelona and Berlin and offices in Dublin, San Francisco, New York, Los Angeles and Malta.

Listed Jobs

Company Name

King

Job Title

Senior AI/ML Engineer

Job Description

**Job title:** Senior AI/ML Engineer **Role Summary:** Lead the design, deployment, and optimisation of machine‑learning systems that automate player‑centric decisions for a large‑scale mobile game, driving real‑time personalization and operational efficiency. **Expactations:** - Deliver high‑quality ML models in production, meeting performance and reliability targets. - Collaborate closely with product, design, and analytics stakeholders to translate business goals into scalable ML solutions. - Mentor and coach junior engineers, fostering a culture of best practices and continuous improvement. **Key Responsibilities:** - Design end‑to‑end ML pipelines (feature engineering, training, serving, monitoring) for decision‑automation workflows. - Build and maintain production‑grade models on GCP (Vertex AI, BigQuery, Cloud Storage, Dataflow, Pub/Sub). - Implement CI/CD for ML workflows, ensuring reproducible experiments and rapid iteration. - Work cross‑functionally with game designers, product managers, and data analysts to define success metrics and iterate on model performance. - Lead technical discussions, set architecture direction, and align delivery with product strategy. - Monitor model drift, conduct root‑cause analysis, and implement remedial actions. **Required Skills:** - 5+ years of end‑to‑end ML production experience (prototype, train, serve, monitor). - Deep expertise in advanced ML concepts – supervised/unsupervised learning, causal inference, contextual bandits, LLM agents. - Proficiency with GCP data & ML services; strong software engineering fundamentals, including CI/CD and MLOps. - Excellent communication and stakeholder‑management abilities in fast‑changing, ambiguous environments. - Proven leadership in cross‑functional project delivery and mentoring culture. **Required Education & Certifications:** - Master’s or PhD in Computer Science, Engineering, Physics, Mathematics, or an equivalent field. - Certifications such as GCP Professional Data Engineer, TensorFlow Developer, or MLOps Expert are advantageous.

London, United kingdom

On site

Senior

04-11-2025

Company Name

King

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist **Role Summary:** Drive consumer marketing analytics for an online gaming portfolio, delivering data‑driven insights to optimize user acquisition, engagement, and retention across a customer base exceeding 300 million players. Partner with media buyers, product, and game teams to design, test, and implement predictive models and A/B experiments that inform marketing strategy and product decisions. **Expectations:** - Rapidly learn and adapt to a fast‑paced, collaborative environment. - Translate business problems into analytical solutions and technical requirements. - Communicate clear, actionable findings to stakeholders across marketing, product, and game development. **Key Responsibilities:** 1. Identify business opportunities and design analytical strategies to capture them. 2. Develop and deploy predictive, segmentation, and monetization models for user acquisition, engagement, and retention. 3. Conduct statistical analysis and apply machine learning techniques to uncover actionable insights. 4. Design and validate A/B tests and geo‑experiments to measure marketing impacts. 5. Collaborate with cross‑functional teams to ensure accurate data tracking, implementation, and impact analysis. 6. Deliver error‑free analysis, debugging issues and producing timely reports. 7. Visualize and present results in clear, concise formats for non‑technical stakeholders. **Required Skills:** - **Domain Knowledge:** Experience in data science with a focus on marketing analytics. - **Business Insight:** Ability to independently identify relevant data, analysis, and actionable recommendations. - **SQL:** Proficient in complex queries on large relational, cloud‑based databases. - **Analytical Coding:** Skilled in R, Python (or comparable frameworks) and Excel for statistical analysis. - **Statistics & Machine Learning:** Strong grasp of statistical and ML techniques; experience with marketing mix models, segmentation, and geo‑experiments is a plus. - **Communication & Visualization:** Proficient in creating dashboards, reports, and presentations to convey insights effectively. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (Master’s or PhD preferred). - Certifications in SQL, data science, analytics, or related disciplines are advantageous.

London, United kingdom

On site

18-11-2025