Job Detail

Data Scientist, AI & MLOps (mid-level)

Data Science and AI Contractor
ID: #6128
Posted: 2026-03-03
Salary

Description

About Push Gaming At Push Gaming, we design games that blend creativity, data, and technology to deliver unforgettable player experiences. Our Data & Analytics division powers this innovation by unlocking the intelligence within our data. As a mid-level Data Scientist, AI & MLOps, you’ll be part of a growing team building the next generation of predictive, automated, and data-driven systems that influence everything from game design and player engagement to commercial performance and risk management. Our tech stack is cloud-native and Snowflake-centric, enabling fast experimentation and scalable deployment of AI models across the business. This role is ideal for a hands-on data scientist with experience taking models from concept to production. You’ll design, train, and deploy ML models within our Snowflake environment, build automated pipelines, and contribute to an MLOps framework that ensures reliability, scalability, and measurable value. You’ll collaborate closely with data engineers, game designers, analysts, and product teams to ensure every model delivers business impact. Location: Hybrid in any of the following - UK (London), Poland (Warsaw), Malta (Ta' Xbiex), Isle of Man. This is initially a 1 year fixed contract. What you'll be doing: • Model Development: Design, build, and validate machine-learning models for use cases such as player churn, LTV forecasting, fraud detection, and game optimisation. • Data Engineering: Work within Snowflake to prepare, transform, and optimise large, complex datasets for modelling and analytics. • MLOps Automation: Implement CI/CD pipelines, containerisation (Docker), and model-monitoring frameworks to ensure production-grade AI deployment. • Collaboration: Partner with game, commercial, and finance teams to translate business problems into measurable ML solutions. • Performance Tracking: Establish KPIs and continuous-improvement loops for models in production. • Documentation & Governance: Maintain robust documentation, version control, and compliance alignment (GDPR, ISO). • Innovation: Research and integrate emerging AI tools and generative approaches relevant to iGaming. • Help build a scalable AI & MLOps ecosystem that powers every aspect of our business • Work in a creative, fast-paced environment where data directly shapes our games • Access modern cloud technologies with Snowflake at the core of our stack • Collaborate with experts who value innovation, learning, and measurable impact Core Technologies • Snowflake – Central data platform for modelling, analytics, and orchestration • Python – Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch • SQL – Advanced Snowflake SQL and stored procedures • Docker / Kubernetes – Containerisation and orchestration • Airflow / dbt – Workflow and transformation automation • Power BI / Tableau – Visualisation and insight delivery • Git / GitHub / Bitbucket – Version control and collaboration • AWS / Azure / GCP – Cloud deployment environments What you'll bring to the role: • Strong analytical and statistical modelling foundation • Experience with data pipeline design and feature engineering in Snowflake or equivalent platforms • Proven track record of deploying and maintaining ML models in production environments • Familiarity with CI/CD, containerisation, and cloud compute services • Understanding of MLOps best practices and model governance • Ability to translate business goals into technical deliverables • Excellent communication, documentation, and stakeholder-management skills • Curiosity, ownership, and a drive for continuous improvement • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related discipline • Solid hands-on experience in data science or MLOps roles • Demonstrated experience working with Snowflake, Python, and SQL on production-grade projects • Experience in iGaming, entertainment, or digital-product analytics is advantageous Why join us? It’s a really exciting time to join Push Gaming. We’re expanding our teams to deliver some stellar work. We are passionate about creating premium quality games and will never compromise on this. The approach we take in building and strengthening our team is no different. We set out to attract and retain high performers and are committed to seeking like-minded individuals who share our vision for excellence and quality. In turn, we offer all the tools and support to allow individuals to grow and thrive, while achieving both personal and company goals in an environment that’s built around trust, collaboration, transparency and accountability.

Hard Skills 21
Skill Source Confidence
Git llm_hard
100%
GitHub llm_hard
100%
Python llm_hard
100%
SQL llm_hard
100%
Docker llm_hard
100%
Kubernetes llm_hard
100%
Pandas llm_hard
100%
NumPy llm_hard
100%
PyTorch llm_hard
100%
Scikit-learn llm_hard
100%
Feature Engineering llm_hard
100%
Data Pipelines llm_hard
100%
Model Deployment llm_hard
100%
MLOps llm_hard
100%
TensorFlow llm_hard
100%
Statistics llm_hard
80%
Supervised Learning llm_hard
80%
Azure ML llm_hard
80%
Google Cloud AI llm_hard
80%
Model Performance Optimization llm_hard
80%
AWS (SageMaker, EC2, S3) llm_hard
80%
Soft Skills 11
Skill Source Confidence
Problem-Solving llm_soft
100%
Analytical Thinking llm_soft
100%
Stakeholder Communication llm_soft
100%
Documentation llm_soft
100%
Written Communication llm_soft
100%
Collaboration llm_soft
100%
Continuous Learning llm_soft
80%
Building Trust llm_soft
80%
Research Skills llm_soft
80%
Accountability llm_soft
80%
Verbal Communication llm_soft
80%
Apply Options
Publisher Direct Link
Totaljobs Yes Apply
Totaljobs No Apply
API Logs for this Job
Query Country Status Response ms Created
Data Scientist, AI & MLOps (mid-level) extracted 9482 2026-03-22 00:58
Data Scientist, AI & MLOps (mid-level) classified 516 2026-03-21 20:03
junior deep learning engineer in Birmingham gb duplicate 4947 2026-03-21 17:12
junior ML engineer in Birmingham gb duplicate 4558 2026-03-21 17:01
junior machine learning engineer in Birmingham gb duplicate 7506 2026-03-21 16:58
junior data scientist in Birmingham gb duplicate 4471 2026-03-21 16:54
junior data analyst in Birmingham gb processed 11750 2026-03-21 16:11
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  "job_description": "About Push Gaming\n\nAt Push Gaming, we design games that blend creativity, data, and technology to deliver unforgettable player experiences. Our Data & Analytics division powers this innovation by unlocking the intelligence within our data.\n\nAs a mid-level Data Scientist, AI & MLOps, you’ll be part of a growing team building the next generation of predictive, automated, and data-driven systems that influence everything from game design and player engagement to commercial performance and risk management. Our tech stack is cloud-native and Snowflake-centric, enabling fast experimentation and scalable deployment of AI models across the business.\n\nThis role is ideal for a hands-on data scientist with experience taking models from concept to production. You’ll design, train, and deploy ML models within our Snowflake environment, build automated pipelines, and contribute to an MLOps framework that ensures reliability, scalability, and measurable value. You’ll collaborate closely with data engineers, game designers, analysts, and product teams to ensure every model delivers business impact.\n\nLocation: Hybrid in any of the following - UK (London), Poland (Warsaw), Malta (Ta' Xbiex), Isle of Man.\n\nThis is initially a 1 year fixed contract.\n\nWhat you'll be doing:\n• Model Development: Design, build, and validate machine-learning models for use cases such as player churn, LTV forecasting, fraud detection, and game optimisation.\n• Data Engineering: Work within Snowflake to prepare, transform, and optimise large, complex datasets for modelling and analytics.\n• MLOps Automation: Implement CI/CD pipelines, containerisation (Docker), and model-monitoring frameworks to ensure production-grade AI deployment.\n• Collaboration: Partner with game, commercial, and finance teams to translate business problems into measurable ML solutions.\n• Performance Tracking: Establish KPIs and continuous-improvement loops for models in production.\n• Documentation & Governance: Maintain robust documentation, version control, and compliance alignment (GDPR, ISO).\n• Innovation: Research and integrate emerging AI tools and generative approaches relevant to iGaming.\n• Help build a scalable AI & MLOps ecosystem that powers every aspect of our business\n• Work in a creative, fast-paced environment where data directly shapes our games\n• Access modern cloud technologies with Snowflake at the core of our stack\n• Collaborate with experts who value innovation, learning, and measurable impact\n\nCore Technologies\n• Snowflake – Central data platform for modelling, analytics, and orchestration\n• Python – Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch\n• SQL – Advanced Snowflake SQL and stored procedures\n• Docker / Kubernetes – Containerisation and orchestration\n• Airflow / dbt – Workflow and transformation automation\n• Power BI / Tableau – Visualisation and insight delivery\n• Git / GitHub / Bitbucket – Version control and collaboration\n• AWS / Azure / GCP – Cloud deployment environments\n\nWhat you'll bring to the role:\n• Strong analytical and statistical modelling foundation\n• Experience with data pipeline design and feature engineering in Snowflake or equivalent platforms\n• Proven track record of deploying and maintaining ML models in production environments\n• Familiarity with CI/CD, containerisation, and cloud compute services\n• Understanding of MLOps best practices and model governance\n• Ability to translate business goals into technical deliverables\n• Excellent communication, documentation, and stakeholder-management skills\n• Curiosity, ownership, and a drive for continuous improvement\n• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related discipline\n• Solid hands-on experience in data science or MLOps roles\n• Demonstrated experience working with Snowflake, Python, and SQL on production-grade projects\n• Experience in iGaming, entertainment, or digital-product analytics is advantageous\n\nWhy join us?\n\nIt’s a really exciting time to join Push Gaming. We’re expanding our teams to deliver some stellar work.\n\nWe are passionate about creating premium quality games and will never compromise on this. The approach we take in building and strengthening our team is no different. We set out to attract and retain high performers and are committed to seeking like-minded individuals who share our vision for excellence and quality.\n\nIn turn, we offer all the tools and support to allow individuals to grow and thrive, while achieving both personal and company goals in an environment that’s built around trust, collaboration, transparency and accountability.",
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