using processes such as feature engineering, model selection and hyperparameter tuning. Are proficient with Python data science libraries such as Jupyter Notebooks, Numpy, Pandas, Tensorflow, and SciKit Learn. Have extensive experience in using mathematical models and statistics to extract meaning from data. Are confident in visualising data and communicating 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 »
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 »
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 »
and proven understanding of AI algorithms, GenAI, machine learning, natural language processing, and data analysis Experience with AI/ML frameworks and libraries e.g TensorFlow, PyTorch Knowledge of cloud platforms e.g AWS, Azure and their AI-related services Experience with successful resolution of AI-specific technical challenges And in 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 »
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 »
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 »
trends, challenges, and successes. Requirements: 3-5 years of relevant experience in a similar role Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and more »
development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. Strong more »
Learning, Data Science, or a related field. Proven experience in building and deploying machine learning models. Strong Python skills and familiarity with libraries like TensorFlow, PyTorch, or scikit-learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation. Excellent problem-solving skills and a collaborative spirit. Top more »
engineer and a movement into data science Track record of deploying ML/AI features into production Experience in Python, Pandas, Scikit-Learn, PyTorch, Tensorflow Strong interest in Data Science (Neo4j, Vector embeddings a plus) Responsibilities: Develop and maintain code for new feature release Foster a devops mindset and more »
the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with more »
Processing Search Embedded Reliability Research Testing Mathematics Physics Statistics Quantitative Navigation NLP RAG Hosting Tools, Libraries and Frameworks Jupyter Notebook MySQL PostGres RedShift AWS Tensorflow Scikit-learn NoteBooks NumPy Description Trainline uses AI to enhance sustainable travel choices by integrating advanced machine learning models into their platform to improve 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 »
zones. Advanced proficiency with Linux Preferred Qualifications Experience with multi-media processing and analysis. Strong understanding and practical experience with machine learning frameworks (e.g. TensorFlow, PyTorch). Strong problem-solving skills and the ability to work on complex issues. Ability to communicate effectively and collaborate with key stakeholders from more »
zones. Advanced proficiency with Linux Preferred Qualifications Experience with multi-media processing and analysis. Strong understanding and practical experience with machine learning frameworks (e.g. TensorFlow, PyTorch). Strong problem-solving skills and the ability to work on complex issues. Ability to communicate effectively and collaborate with key stakeholders from more »
Has a track record of being self-motivated and driving development work. · Has demonstrable experience with Python, deep learning and computer vision libraries (e.g., TensorFlow, Pytorch) · Is proficient in version control systems (e.g. Git) Desirable experience include: · PhD in Computer Vision, Machine Learning, or similar. · Experience with hyperspectral or more »
zones. Advanced proficiency with Linux Preferred Qualifications Experience with multi-media processing and analysis. Strong understanding and practical experience with machine learning frameworks (e.g. TensorFlow, PyTorch). Strong problem-solving skills and the ability to work on complex issues. Ability to communicate effectively and collaborate with key stakeholders from 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 »
/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 »
