126 to 150 of 171 scikit-learn Jobs in England

experience. Hands‐on experiencedevelopingsolutions with Large Language Models. Hands‐on experience building applied ML models using Python and relevant libraries and frameworks (e.g., scikit‐learn, XGBoost, PyTorch). Desirableskills and experience: Experience designing evaluationframeworksfor generative systems(e.g.,LLM-as-a-judge, task‐specific metrics). Experience with vector ...

. 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 Experience Extremely strong computer science ...

high-volume batch systems, real-time microservices, automated retraining, and strong observability across cloud infrastructure. You will leverage Python, SQL, PyTorch, TensorFlow, and Scikit-learn, with Google Cloud Platform tools like BigQuery, Vertex AI, and Dataflow, plus Docker and Kubernetes for deployment. #J-18808-Ljbffr ...

evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry ...

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 ...

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 ...

/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn/Linux/Git/Machine Learning/Artificial Intelligence/Computer Science/Mathematics/Statistics RedTech Recruitment Ltd focus on finding roles ...

within financial services, banking, fintech, payments, risk management, or e-commerce environments. 3+ years of experience performing advanced analytics using Python (including pandas, scikit-learn, and matplotlib), R, or similar analytical tools. Strong proficiency with SQL and Excel for data analysis, reporting, and performance monitoring. Experience investigating fraud ...

closely related field . Essential Application Demonstrable programming skills in Python, including common data science/machine learning libraries (eg pandas, scikit-learn or PyTorch/JAX). Essential Application/interview Working knowledge of core machine learning methods (eg regression, classification, clustering). Essential Application/interview ...

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 ...

solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumP da, 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 ...

production and kept working. Statistics and experimentation: hypothesis testing, A/B testing, power and sample sizing. Classical ML: classification and ranking with scikit-learn and XGBoost or LightGBM, evaluated rigorously: validation design, calibration, leakage. Decision science: applied work with at least one of contextual bandits, causal inference ...

Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis ...

Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis ...

environment Hands-on experience building credit scorecards or risk models (application, behavioural, or collections) Proficiency in Python and SQL; experience with ML frameworks (scikit-learn, XGBoost, etc.) Familiarity with Open Banking data, bureau data (Experian, Equifax, TransUnion), or alternative data sources Comfort working in small, fast-moving teams ...

production readiness from data to monitoring. Ideal candidates have 5+ years of hands-on ML, strong Python and PyTorch/scikit‐learn, and experience with embeddings and retrieval‐augmented generation. Creative, experiment-driven, and results-focused. #J-18808-Ljbffr ...

convex optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR ...

diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices: code testing, documentation, packaging ...

data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control … data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control ...

Job Role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting ...

Job Role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting ...

Sprytech Ltd is an established cyber security and emerging technology company based in London, UK, founded by experienced technocrats having many years of industry experience across the globe. Sprytech has started an India office based ...

familiarity with product design processes is a strong plus. Familiarity with CAD and/or CAE Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) Experience with agentic AI orchestration What You Get Work with a world-class technology team - our engineers are top-notch ...

time (Open to Part-time)/Remote/Mid-Senior level Machine Learning: Proven experience with machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn) Deep Learning: Familiarity with deep learning architectures (CNNs, RNNs) and their applications in relevant domains like image recognition, natural language processing, or recommender … Strong understanding of machine learning algorithms, deep learning architectures, and statistical concepts. Proficiency in programming languages like Python (with libraries like TensorFlow, PyTorch, scikit-learn). Experience with data wrangling tools and technologies (e.g., SQL, Spark). Excellent communication and collaboration skills to work effectively with cross-functional ...