151 to 165 of 165 Permanent scikit-learn Jobs

massive datasets, enabling efficient data transformation for downstream machine learning modeling and analysis. 3. Utilize knowledge of advanced data science techniques and tools, including Python, Apache Spark, SparkML, scikit-learn, TensorFlow, Keras, XGBoost, and Tidyverse, to build various ML-driven applications such as recommendation models, timeseries forecasting, attribution models that address business needs and deliver impactful solutions. 4. … PySpark) for large-scale data processing, enabling seamless preparation for downstream modeling and analysis. 10. Utilize Python, machine learning, supervised and unsupervised algorithms, and statistical modeling with SparkML, scikit-learn, TensorFlow, Keras, XGBoost, and Tidyverse to build large-scale machine learning models for clustering, segmentation, cancer detection, etc. 11. Utilize AWS SageMaker and Google Cloud Platform for scalable More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are More ❯

MLOps Platform Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a MLOps Platform Engineer to design, implement, and scale the infrastructure that supports high-performance machine More ❯

MLOps Platform Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a MLOps Platform Engineer to design, implement, and scale the infrastructure that supports high-performance machine More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯

and ship ML and LLM features in a regulated environment with sensitive data. You’ll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you’ll do Research … prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you’ll bring Hands-on Python for data science and ML Practical experience More ❯

junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines … control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines More ❯

We are seeking a curious, creative and motivated individual who rises to the challenges of building an innovation-driven, early-stage MedTech spin-out to change the future of surgery and play a significant role in developing next-generation core More ❯

Lead AI Engineer £120,000–£140,000 One day a week in London (exceptional circumstanses could allow one day a month) Equity Options 25 Days Holiday + Bank Holidays Pension matched up to 7% Work abroad for up to 3 More ❯

Senior Data Scientist – Media - London - up to £110k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd More ❯

Frameworks and Libraries Some of the commonly used frameworks and libraries in the field of AI include TensorFlow, PyTorch, and Scikit-learn. Programming Skills It is important to have strong programming skills in languages such as Python, Java, or More ❯