world applications Expertise with MLOps tools and practices (e.g., Docker, CI/CD pipelines, monitoring frameworks). Strong proficiency in Python and libraries like Pandas, NumPy, and scikit-learn, with familiarity in frameworks like TensorFlow or PyTorch being a plus Cloud experience—AWS preferred - including deploying and managing models in More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Alexander Edward James Consulting Limited
Experience working in an agile environment. Familiarity with scrum methodologies and code reviews. Task management using kanban boards. Technical Requirements: Proficiency in Python 3.11+, Pandas, and virtual environments. Expertise in PHP 8+ and Laravel API development. Vue.js skills, including UI/UX principles and Tailwind CSS. Strong communication and problem More ❯
Manchester Area, United Kingdom Hybrid / WFH Options
55 Exec Search
of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
iO Associates
data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various More ❯
Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯
