Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes More ❯
Glasgow, Lanarkshire, Scotland, United Kingdom Hybrid / WFH Options
Sthree
Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes More ❯
practices in machine learning. Optimization : Continuously improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache More ❯
AI-powered solutions. Key Responsibilities: Develop and optimize AI/ML models with a focus on Generative AI, embeddings, and vector search. Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX. Collaborate with data scientists to integrate AI models into production systems. Maintain and enhance AI pipelines, ensuring efficiency and scalability. Conduct research on the latest AI More ❯
versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work More ❯
everyone. Including you. What you'll need Proven experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures. Experience with LLMs and generative AI More ❯
everyone. Including you. What you'll need Proven experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures. Experience with LLMs and generative AI More ❯
our digital transformation target. Responsibilities: End-to-End AI Solution Ownership: Design, develop, and deploy scalable AI/ML solutions for Sales, Manufacturing, and Logistics domains using Scikit-learn, TensorFlow, or PyTorch. Ensure seamless integration of models into production systems (APIs, cloud services, or edge devices). Stakeholder-Driven Problem Framing: Partner with business units to translate operational challenges … a related field. Preferably 3+ years of hands-on experience working on ML/AI projects. Model Frameworks: Proficiency in popular machine learning frameworks like Scikit-learn, PyTorch, and TensorFlow, with proven experience in environment setup and management. Technical Expertise: Strong understanding of statistical machine learning and deep learning techniques, especially for text, graph, and time-series data (e.g. More ❯
Mathematics, Computer Science, Artificial Intelligence, _ ideally a Masters Strong mathematical foundation, especially in algebra, number theory, and statistics. Proficiency in Python and familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow). Understanding of NLP, computer vision, and retrieval methods. Ability to turn theory into practical, deployable systems. Desirable Experience with Microsoft Azure or other cloud platforms. Knowledge of vector More ❯
