1 to 25 of 63 scikit-learn Jobs in the City of London

Data Science, Computer Science, Statistics, Mathematics, or related fields Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL for data querying and analysis Solid understanding of machine learning algorithms, statistical methods, and predictive modeling Experience with NLP techniques ...

language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js ...

data science roles, with proven success in delivering end-to-end projects. Strong proficiency in Python , R , and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data ...

Qualifications Education: Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, or related field. Programming: Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn), and experience with SQL. ML Expertise: Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques. Cloud & MLOps: Experience with ...

automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation ...

Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience ...

/ML solutions, with a strong focus on Microsoft Azure. • Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). • Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. • Hands-on experience with ...

projects. Track record of delivering end-to-end ML solutions integrated into SaaS products Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark ...

Looking For Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics. Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics. Deep understanding of machine learning methods and their practical application. Experience delivering multiple ...

with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source AI projects or research ...

natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring ...

project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion ...

Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

technical stakeholders. Requirements Programming Skills: Strong programming ability in Python is essential, including proficiency with data science libraries such as pandas, NumPy, scikit-learn, and visualisation tools. Experience building production-quality code and deploying models is important. Familiarity with SQL and relational databases required. Experience with Java, Kotlin ...

accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (eg, MLflow), model registry ...

domains such as NLP, images, audio, graphs, time series and tabular data Advanced Python skills with experience using libraries such as pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels or PyMC Strong understanding of software and ML engineering best practice (e.g. version control, packaging, model deployment) Ability to communicate ...

junior colleagues and share learnings across the team. Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation ...

building backend systems Background in developing infrastructure to support machine learning projects Practical experience deploying models using frameworks such as PyTorch, TensorFlow, or scikit-learn Familiarity with tools like Docker and Kubernetes for containerised deployments Experience working with cloud platforms such as AWS, Azure, or GCP, including ...

years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly ...

through to live production, ideally across commercial or B2B environments Strong Python development skills and experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn Familiarity with deployment workflows in cloud platforms such as Azure, GCP, or AWS Experience managing containerised infrastructure using Docker and orchestration tools like ...

data scientist in industry or similar environment. • Good knowledge of python, along with common machine learning and data analysis libraries (e.g. pandas, numpy, scikit-learn, pytorch, transformers, statsmodels, pymc). • Ability to absorb complex new scientific concepts and quickly get up to speed on new areas ...

Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context ...

areas such as NLP, computer vision, time series, graphs or tabular data Advanced Python skills and experience with libraries such as pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels or PyMC Experience delivering end-to-end data science or AI projects, from problem definition through to deployment Good understanding ...

will have experience in many of the following: • Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow • Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments • Strong experiment design skills: hypothesis formulation, A/ ...