at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think more »
using LangChain, RAG methods, and other relevant frameworks. Experience with Flask for API development. Technical Skills: Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow). Strong understanding of natural language processing and generative models. Experience with vector databases, e.g. Chroma for document and vector management, and embedding models. more »
CD pipelines (e.g. GitLab CI, GitHub Actions) and version control systems (e.g. Git). · Understanding of data science workflows and machine learning frameworks (e.g. TensorFlow, PyTorch). · Excellent problem-solving and communication skills. · Strong teamwork and collaboration abilities. Salary for this opportunity is between £45k-£50k plus company benefits. more »
Employment Type: Permanent
Salary: £45000 - £50000/annum bonus, pension plus more
Oxfordshire, England, United Kingdom Hybrid / WFH Options
be:technology
in a commercial setting. Programming Skills: Proficiency in programming languages such as Python, C++ , and experience with computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid more »
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Be Technology
in a commercial setting. Programming Skills: Proficiency in programming languages such as Python, C++ , and experience with computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid more »
such as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers Experience defining system architectures and more »
experience as a Data Scientist or similar role Proficiency in programming languages such as Python or R, along with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Pandas. Strong knowledge of statistical analysis, hypothesis testing, and experimental design. Experience with SQL databases, data warehousing, and big data more »
MLOps practices include good design documentation, unit testing, integration testing and source code control (git). Exposure to Deep Learning applications and tools like TensorFlow, PyTorch , Caffe is a plus. Demonstrated ability to build and maintain multiple data science project/product in production environments. Have significant experience in more »
years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/CD, Docker, Kubernetes, and data pipeline tools like Airflow. more »
parameter optimization Prior experience at a top tier hedge fund, proprietary trading house or investment bank Exposure to pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
/AI strategy. Key skills: Python for Machine Learning and Data Science Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data more »
model performance using BI tools. The experience you’ll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience more »
model performance using BI tools. The experience you'll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience more »
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Realtime Recruitment
challenges. Desirable Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with AWS or other cloud technology Background in AI/ML more »
Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau more »
Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau more »
implementing, and deploying machine learning models and algorithms in a production environment. Proficiency in machine learning and deep learning frameworks and libraries such as TensorFlow, PyTorch, or similar. Strong programming skills in Python or another relevant language. Deep understanding of recommender systems, search & ranking algorithms, and marketing analytics. Excellent more »
dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic more »
within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to more »
hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, etc. Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities more »
Hands-on experience with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with version control systems such as Git. Excellent problem-solving and analytical skills. Strong communication and teamwork skills. Active more »
development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »
skills in data analysis, deep learning, and machine learning techniques. Proficiency in programming languages like Python and familiarity with machine learning frameworks (such as TensorFlow and PyTorch). Good management and leadership abilities. Strong presentation and communication skills. Experience with computational chemistry software and tools is a plus. If more »
