101 to 125 of 176 scikit-learn Jobs in London

techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‐learn Take pride in writing clean, reusable, maintainable and well‐tested code A desire to learn and embrace new and emerging technology Familiarity ...

MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch, TensorFlow or Scikit‐learn Experience operating in complex, regulated or high‐risk environments would be particularly valuable. More important than any individual technology is the ability ...

modern Deep Learning algorithms (e.g. BERT, LSTM, etc.). Strong knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit‐Learn, Matplotlib). Strong software development skills (Python is the preferred language). Strong management and leadership skills – previous experience managing a team. Strong influencing ...

etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) < Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management ...

etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management ...

BNPL. Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity ...

online) Solid understanding of statistical methods, including GLMs and modern ML techniques Proven ability to build and deploy production-quality Python applications (pandas, scikit-learn) Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows Familiarity with cloud platforms (AWS) and cloud ...

with 2+ years of experience building and deploying models in production. Strong Python skills and hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). Comfortable with time series data and forecasting problems. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices. Curious about energy ...

Hands-on experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima ...

rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code. Proven ...

evolving stakeholder needs into features, and drive delivery. Strong Python for data and backend work - Pandas plus optimization/scientific libraries (e.g. Pyomo, Scikit-Learn) Building simulation, forecasting, and KPI/analytics frameworks to model financial or operational outcomes Data engineering: ingestion and transformation pipelines for time-series ...

skills, particularly Python , with experience developing maintainable production code. Practical experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn . Experience working with real-world healthcare or clinical datasets. Understanding of clinical data quality, missingness, bias, confounding, and dataset shift. Experience designing ...

linear regression, logistic regression, boosting, kNN)Ideally Python or another languageExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm ...

with AWS and container technologies such as Docker and Kubernetes Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit-learn) A track record of owning and operating complex systems at scale Strong communication skills with the ability to produce clear, technical documentationExperience working ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production. Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills. Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

Computer Science, Mathematics, or a related fieldStrong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn)Hands-on experience evaluating pre-trained models, and fine tuning or training modelsExperience in the recent developments of Agentic Architecture Excellent problem-solving skills ...

kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release processes, build systems. Excellent communication, problem-solving, and analytical skills. Preferred ExperienceExtremely strong computer science or engineering ...

looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental ...

statisticsSolid foundation on data structures and algorithmsProficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)Ability to interpret and write complex SQL queriesExperience with big data technologies, such as Hive and SparkTrack record of leading the deployment ...

trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects ...

into code Ability to manipulate large financial data sets for empirical research and handle complex Experience with machine learning software libraries such as scikit‐learn, TensorFlow or PyTorch Experience with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding ...

expertise with enterprise‐level infrastructure and architecture, including a extensive understanding of APIs. You have experience building, tuning, or deploying ML models (e.g., scikit‐learn, XGBoost, PyTorch, TensorFlow) in production settings Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong ...

successful implementation. Machine Learning Engineer, key skills: Experience: Proven background as a Machine Learning Engineer Programming skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid ...