ASAP | Outside IR35 To apply, email: 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 … 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, reinforcementlearning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV … Experience with wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED Please apply directly by emailing 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 More ❯
experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge AI and Machine Learning solutions to solve complex challenges across our banking, financial services, and fintech operations. You will be instrumental in driving revenue growth, optimizing risk management, enhancing customer experiences, and ensuring … the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, ReinforcementLearning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment … related). Technical Skills: Programming: Expert proficiency in Python (must-have) and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical experience with Deep LearningMore ❯
cross-functional teams to identify business problems and develop data-driven solutions. Provide technical mentorship and guidance to other data scientists. Design and implement algorithms, statistical models, and machine learning solutions to analyse complex data sets. Communicate analytical insights clearly to both technical and non-technical stakeholders. Engage with clients to understand requirements and convert them into deliverable insights. … Experience Required: Proven experience as a Data Scientist with proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Plotly. Strong background in statistical modelling, machine learning, and data mining, with experience working on time-series data. Knowledge of data engineering principles, including pipelines, databases, and infrastructure; AWS experience is advantageous. Experience with data visualisation, analysis … control systems, preferably Git. Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field is desirable. Background in engineering, motorsport, or industrial operations is beneficial. Experience with reinforcementlearning and control optimisation is desirable. Excellent problem-solving and organisational skills, with the ability to manage multiple projects effectively. Strong communication, collaboration, and stakeholder management abilities. Self More ❯
non-technical stakeholders Experience Proven experience delivering AI solutions that improve operational efficiency, member engagement, or compliance Experience working with pension administration systems Strong understanding of supervised, unsupervised, and reinforcement learning. Good experience of dealing with DB, hybrid and DC occupational pension schemes Experience with AWS, Azure, or Google Cloud AI services. Carbon60, Lorien & SRG - The Impellam Group STEM More ❯