101 to 125 of 234 scikit-learn Jobs in the UK

skills and experience working with large-scale relational and cloud-based databases (e.g., Snowflake,BigQuery). Experience with machine learning frameworks (e.g., scikit-learn,XGBoost, TensorFlow,PyTorch). Ability to work autonomouslyand comfortable with ambiguity. Experience in the healthcare field, preferably in generic pharmaceuticals (pricing,sourcingor distribution) preferred ...

making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement ...

being effective in the role are: Technical Proficiency: Strong proficiency in Python for data analysis, machine learning and statistical modelling (e.g. pandas, NumPy, scikit‐learn), alongside familiarity with cloud‐based data platforms, preferably Google Cloud. Analytical Modelling: Proven experience developing analytical, statistical or machine learning solutions within complex ...

bring 4–8+ years in Data Science/ML with a focus on time‐series forecasting and decision analytics Strong Python (pandas, NumPy, scikit‐learn, statsmodels; PyTorch/TF a plus) and SQL; rigorous evaluation (MAE/RMSE, MAPE, pinball loss) Experience productionising models (APIs/batch jobs ...

visualisation methods and techniques. Strong skills and practical experience in Machine Learning on the Cloud (i.e. Azure, GCP or Amazon) using Numpy, Scikit Learn, Tensorflow, Keras, PyTorch or other data mining frameworks. Excellent programming skills using Python, R and other programming languages. Experience of delegating specific tasks ...

Engage with senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms ...

Python and machine learning. Experience with GitHub, Power BI, and Python tools. Familiarity with relevant data science libraries such as pandas, numpy, scikit-learn, and PyTorch. Strong analytical skills and attention to detail. Ability to work in an agile environment and meet tight deadlines. About Us DataObrii ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals ...

solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals ...

strong ability and willingness to learn new techniques quickly. Python and Data Structures: Strong Python programming skills, including familiarity with NumPy, Pandas, scikit-learn and core concepts such as data structures, algorithms and computational complexity. Quantitative Research: Strong analytical skills and the ability to formulate hypotheses, test ...

modelling Cyber security Network analytics Our technology Our technology stack continues to evolve, but you'll typically work with: Python SQL AWS PyTorch Scikit-learn XGBoost Docker GitHub Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? You’ll work on problems very few engineers ever encounter. ...

least two of the following: Python, R, or Julia. Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent. Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data. Knowledge of variant ...

security for agentic workflows. Familiarity with validated quality management systems or other regulated enterprise systems. Experience with classical machine learning techniques (e.g., scikit-learn). Background in pharmaceutical R&D or other highly regulated industries. A GitHub profile or portfolio showcasing relevant work is a plus. #J ...

warehouses. Familiarity with end-to-end security for AI workflows, including permissions and prompt injection protection. Background in classical machine learning techniques (e.g., scikit-learn for trend analysis and forecasting). Experience in pharmaceutical R&D or other highly regulated industries. A portfolio or GitHub profile showcasing relevant ...

experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian ...

warehouses. Familiarity with end-to-end security for AI workflows, including permissions and prompt injection protection. Background in classical machine learning techniques (e.g., scikit-learn for trend analysis and forecasting). Experience in pharmaceutical R&D or other highly regulated industries. A portfolio or GitHub profile showcasing relevant ...

willingness to explore how it can enhance your day-to-day work. Technologies and Tools Python Machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling and best ...

with an orchestration tool such as Dagster (or Airflow, Prefect, etc.). Hands-on experience with common ML libraries and frameworks, e.g. PyTorch, scikit-learn, and gradient-boosting libraries such as XGBoost or LightGBM. Clear evidence of practical experience defining and deploying containerised systems, i.e.: Implementing APIs ...

skills Proficiency in Go or Terraform for automation, tooling development, or platform service implementation. Working knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn) for model integration and operationalization. Exposure to multi-cloud or hybrid cloud architectures and platform portability strategies. ABOUT US Our client ...

stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands‐on experience with cloud platforms ...

data access and protection against prompt injection). Experience with validated quality management or other regulated enterprise systems. Classical machine learning (for example scikit-learn) for trend analysis, clustering and forecasting. Experience in pharmaceutical R&D or another highly regulated industry. A GitHub profile or portfolio showing relevant ...

STEM related field Advanced proficiency in Python and SQL with extensive experience working with core data science libraries (e.g. pandas/polars, scikit-learn) Familiar with cloud platforms (e.g. AWS) and orchestration tools (e.g. Airflow, Dagster) in relation to operationalising data science products Experience leveraging Snowflake ...