discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational or customer more »
data manipulation Prior work experience with analytical/statistical data analysis tools such as R and Python and deep learning libraries such as PyTorch, TensorFlow, Keras Familiarity with data visualization and dimensionality reduction algorithms Ability to develop, benchmark and apply predictive algorithms to generate hypotheses Comfortable working in cloud more »
Medoids or similar and the skills to evaluate solution suitability e.g., Silhouette Score. Confident in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging more »
Learning Engineer or similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data more »
and deploying machine learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication more »
Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem-solving skills with the ability to derive meaningful insights from complex datasets. Communication: Excellent verbal and written communication more »
record of deploying models in production settings. Advanced proficiency in Python and familiarity with machine learning and deep learning frameworks (e.g. Scikit-learn, PyTorch, TensorFlow). Experience with containerization technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning. Expertise in a range of machine learning 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 »
Learning, Cognitive Services, and Responsible AI Dashboard. Familiarity with shallow learning techniques using Python, Scikit-learn, XGBoost, etc. Exposure to deep learning frameworks like TensorFlow and PyTorch. Knowledge of various ML model deployment options, including real-time and batch solutions. Experience with CI/CD pipelines, DevOps, and infrastructure more »
Boultham, Lincolnshire, United Kingdom Hybrid / WFH Options
Pro Box Recruitment
development methodology Familiarity with CI/CD and pipeline automation Familiarity of machine learning principals/pipelines and associated toolsets such as Pytorch and Tensorflow Familiarity with Azure, AWS, GCP products and services - Knowledge of technologies including: Docker or Kubernetes Distributed version control systems such as Git Exposure to more »
Employment Type: Permanent
Salary: £50000 - £70000/annum Salary dependent on experience
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 »
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
Oxford, Oxfordshire, United Kingdom Hybrid / WFH Options
BeTechnology Group
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 »
C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development more »
C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development 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 »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and 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 »
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 »
Technical Requirements To succeed in this role, you should have: Understanding of the full machine learning lifecycle and experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. Demonstrable experience mentoring junior team members. Knowledge of probability, statistics, and common machine learning techniques. Experience in software engineering, particularly in Python. 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 »
