51 to 75 of 171 scikit-learn Jobs in the UK

business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced SQL skills for querying structured datasets Proven experience developing and validating machine learning models Experience with ...

Python programming skills for AI/ML development.\n \n \nHands-on experience with at least one major ML framework (e.g. PyTorch, TensorFlow, scikit-learn).\n \n \nExperience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production ...

Experience: Strong Python programming skills for AI/ML development. Hands-on experience with at least one major ML framework (e.g. PyTorch, TensorFlow, scikit-learn). Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments. Understanding ...

nStrong Python programming skills for AI/ML development.\ N\n\nHands-onexperience with at least one major ML framework (e.G. PyTorch, TensorFlow, scikit-learn).\ N\n\nExperience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production ...

Experience: Strong Python programming skills for AI/ML development. Hands-on experience with at least one major ML framework (e.g. PyTorch, TensorFlow, scikit-learn). Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments. Understanding ...

including MLflow, Azure ML, Azure DevOps, or similar tools. Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn, TensorFlow, and Keras. Experience implementing machine learning and large language models, including deployment, monitoring, and retraining. Familiarity with software engineering guidelines, including version ...

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 ...

stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification ...

deep learning methods and large language models. Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas). Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders. Experience … more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis. Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit-learn). Understanding of financial services or wealth management domains. Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS, Azure ...

deep learning methods and large language models.\ NExtensive experiencewith ML/DL toolkits and libraries (e.G., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas).\ NDemonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.\ NExperience designingexperiments … more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.\ NAdditional familiarity with ML frameworks (e.G., PyTorch, Keras, MXNet, scikit-learn).\ NUnderstanding of financial services or wealth management domains.\ NDesirable: Contributions to open-source ML/LLM tooling; certifications in AWS, Azure ...

related field, preferably within marketing or advertising. Technical Skills: Proficiency in Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Analytical Mindset: Strong problem-solving skills with the ability to interpret complex datasets and derive meaningful insights. Communication Skills: Excellent verbal and written ...

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 ...

experience and solid understanding of machine learning and deep learning methodsExtensive 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 ...

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

Analyst. Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python and specialized machine learning libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including ...

good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills ...

good software engineering practices\ NExcellent written and verbal communication\ NStrong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn\ NSolid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus\ NCollaborative, humble and enthusiastic attitude\ N\n\nPreferred qualifications, capabilities ...

industrial IoT and AI platform What we're looking for: • Experience in a Data Scientist role • Strong Python skills including pandas, numpy, and scikit learn • Experience working with time series, IoT, sensor, manufacturing, or operational data • Commercial awareness and an understanding of how analytics creates value for customers ...

drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit‐learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies. RESPONSIBILITIES AND QUALIFICATIONS Responsibilities: Design, build, and maintain robust data … model deployment and monitoring in a production environment. Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage ...

drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit‐learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies. RESPONSIBILITIES Design, build, and maintain robust data pipelines for feature … model deployment and monitoring in a production environment. Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage ...

Educated to bachelor’s degree level or equivalent qualification/relevant work experience Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management Excellent interpersonal skills with ...

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 ...

expertise: You have a general understanding of REST APIs (design, integration, authentication). 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 ...

good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills ...

quantitative field), or equivalent relevant work experience Preferred Qualifications Experience using managed ML/AI solutions Experience with modeling tools such as R, scikit‐learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities ...