{"id":3363773,"url":"https://alion.io/job/matchtech-aiml-data-science-engineer","title":"Ai/ML Data Science Engineer","company":{"id":2073484,"name":"Matchtech","domain":"matchtech.com","url":"https://alion.io/company/matchtech-com","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":17,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":80000,"currency":"GBP","period":"year","gross":null,"usd_annual":106462},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T22:13:58Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T08:52:16Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Shape the Future of Data & AI in a Global High-Performance Environment\nWe're partnering with a world-renowned organisation operating at the cutting edge of technology, engineering, entertainment, and live global events. With millions of fans worldwide and a relentless focus on innovation, this organisation is investing heavily in AI, machine learning, and advanced data capabilities to drive performance both on and off the field of play.\nThis is a rare opportunity to join a highly visible innovation team and work on complex, real-world challenges involving real-time data, computer vision, predictive analytics, intelligent automation, and large-scale data platforms.\nThe Opportunity\nAs an AI/ML/Data Science Engineer, you will play a key role in designing, developing, and deploying production-grade AI and machine learning solutions. Working directly with senior leadership and stakeholders across multiple business functions, you'll help identify opportunities where data and AI can create measurable impact and transform operations.\nThis role combines machine learning, data engineering, experimentation, and product thinking within a fast-paced, high-performance environment where innovation is actively encouraged.\nKey Responsibilities\nAI & Machine Learning\nDesign, build, and deploy machine learning models that solve complex business and operational challenges.\nDevelop solutions across predictive analytics, computer vision, anomaly detection, and natural language processing.\nCreate scalable inference pipelines for both real-time and batch processing workloads.\nImplement model monitoring, performance tracking, drift detection, and retraining processes.\nRapidly prototype new ideas and validate use cases before scaling successful solutions into production.\nResearch emerging AI and data technologies and identify opportunities to apply them in novel ways.\nData Engineering & Platforms\nDesign and maintain robust, scalable data pipelines.\nIntegrate diverse data sources including telemetry, operational, video, image, commercial, and digital engagement datasets.\nDevelop APIs and services that enable wider access to analytics and AI capabilities.\nSupport high-availability, low-latency systems where business-critical performance is required.\nStakeholder Engagement\nPartner with teams across operations, technology, media, commercial, marketing, and infrastructure functions.\nTranslate business challenges into technical solutions.\nPresent insights and recommendations to both technical and executive audiences.\nEstablish trusted relationships and become a key advisor on data and AI opportunities.\nGovernance & Security\nChampion responsible AI practices.\nSupport data governance, privacy, and compliance initiatives.\nCollaborate with cybersecurity teams to ensure AI and data platforms remain secure and resilient.\nWhat We're Looking For\nEssential Experience\n5-10 years' experience in Data Science, Machine Learning Engineering, or AI-related roles.\nStrong experience developing and deploying machine learning systems in production environments.\nAdvanced Python skills.\nExperience with SQL and modern cloud-based data platforms.\nFamiliarity with containerisation and orchestration technologies.\nStrong understanding of statistics, model evaluation, data preparation, and feature engineering.\nDesirable Experience\nReal-time or streaming data environments.\nComputer vision and video analytics.\nLarge-scale telemetry, sensor, or IoT datasets.\nEdge computing 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