

Searchability®
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a 6-month contract, paying "£X per hour". UK-based candidates are preferred. Key skills include Python, TensorFlow/PyTorch, and experience in sports data analytics or computer vision is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deep Learning #PyTorch #ML (Machine Learning) #Pandas #AWS (Amazon Web Services) #NumPy #TensorFlow #Forecasting #Kubernetes #AI (Artificial Intelligence) #Azure #GCP (Google Cloud Platform) #MLflow #Data Science #Generative Models #Scala #Python #Reinforcement Learning #OpenCV (Open Source Computer Vision Library) #Cloud #R #Docker #Deployment
Role description
NEW CONTRACT AI ENGINEER (UK-BASED CANDIDATES)
6 Month Initial Contract | Start ASAP | Outside IR35
To apply, email: jordanna.ramsey@searchability.com
THE OPPORTUNITY
A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics.
THE ROLE
• Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision.
• Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights.
• Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure.
• Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models).
• Support continuous model improvement and scalable MLOps deployment pipelines.
TECH STACK / REQUIREMENTS
• Core Skills: Python, TensorFlow / PyTorch, scikit-learn, OpenCV, NumPy, Pandas
• Experience With: Model training, tuning, and deployment in production environments
• Preferred: Sports data analytics, time-series forecasting, or computer vision experience
• Infrastructure: AWS / GCP / Azure, Docker, Kubernetes, MLflow, CI/CD pipelines
• Bonus: Experience with wearable / sensor data, player tracking, or sports video analytics
TO BE CONSIDERED…
Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability.
KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports
NEW CONTRACT AI ENGINEER (UK-BASED CANDIDATES)
6 Month Initial Contract | Start ASAP | Outside IR35
To apply, email: jordanna.ramsey@searchability.com
THE OPPORTUNITY
A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics.
THE ROLE
• Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision.
• Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights.
• Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure.
• Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models).
• Support continuous model improvement and scalable MLOps deployment pipelines.
TECH STACK / REQUIREMENTS
• Core Skills: Python, TensorFlow / PyTorch, scikit-learn, OpenCV, NumPy, Pandas
• Experience With: Model training, tuning, and deployment in production environments
• Preferred: Sports data analytics, time-series forecasting, or computer vision experience
• Infrastructure: AWS / GCP / Azure, Docker, Kubernetes, MLflow, CI/CD pipelines
• Bonus: Experience with wearable / sensor data, player tracking, or sports video analytics
TO BE CONSIDERED…
Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability.
KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports






