deep learning, and reinforcement learning. Proficiency in programming languages such as Python, Java, Scala or C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. Strong problem-solving skills and the ability to more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment ● Strong visualisation skills including experience with Tableau ● Familiarity with Git-based source control methodologies, including branching more »
learning techniques and algorithms, such as regression, classification, clustering, and deep learning. Hands-on experience with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras. Strong programming skills in languages such as Python, R, or Java. Solid understanding of data manipulation, modeling, and analysis more »
You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn. Experience with deep learning frameworks such as TensorFlow or Pytorch. Experience with data labelling, validation, provenance and versioning. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice more »
and natural language processing. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with machine learning frameworks such as TensorFlow or PyTorch. Strong understanding of AI concepts and techniques, including neural networks, deep learning, and reinforcement learning. Experience with cloud computing platforms such as more »
a focus on NLP, machine learning, and MLOps. Proficiency in Python and its libraries for data manipulation, analysis, and machine learning (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of AWS services, particularly AWS Sagemaker, and experience working within an AWS environment. Experience with large language models (LLMs) and more »
tuning foundation models for predictive tasks or embedding generation Strong experience writing code in Python, and with appropriate deep learning packages such as PyTorch, TensorFlow Experience developing, debugging, and applying deep learning models in the cloud using GPUs, ideally on AWS A pragmatic and entrepreneurial mindset, and be able more »
and maintenance of models in production desired Expertise in using and implementing cutting-edge machine learning algorithms, frameworks, and libraries, such as PyTorch, Keras, Tensorflow to solve clustering, classification, regression, and optimization problems on large scale data sets Hands-on experience with modern NLP methods required. Specifically: Transformers models more »
learning methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity with software more »
very closely with the Head of Data. The best-matched Senior Data Scientist would have the following experiance: Tech stack: Python, scikit-learn, pandas, Tensorflow, Pytorch, SQL, AWS Experiance in Natural Language Processing Experiance with AWS Master’s or PhD in Computer Science, or a related field, with a more »
leadership skills, with the ability to inspire and motivate teams. Ideally, proficiency in programming languages and tools used for AI development, such as Python, TensorFlow, PyTorch, or similar. Ideally, industry certifications or professional accreditations related to AI and project management. Ideally, knowledge of cloud computing platforms and their AI more »
Strong experience in natural language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL, Preferred qualifications, capabilities, and skills Financial more »
learning experiments on clinical datasets. You will get to work with some of the most innovative tools in the market, including scikit-learn, pandas, Tensorflow, Pytorch, spaCy, and the AWS data stack. The role is hybrid, in central London (zone 1) and they are offering more »
development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. Strong problem-solving abilities and attention to detail, with a passion for solving more »
the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with more »
Person: *Strong Python skills *ML experience *Energy or Geospatial Data experience *GCP or AWS experience *Pandas and SQL experience *Scikit-learn, Keras, Pytorch, or TensorFlow experience *Full rights to work in the UK Reference Number: BBBH225262 To apply for this role or for to be considered for further roles more »
the findings of technical work to non-expert audiences Fluency with Python machine learning and data science packages (pandas, scikit-learn, Apache, Spark, DASK, Tensorflow, etc.) or experience with programming languages and willingness to learn Python For engineering, experience in a DevOps role, ideally in a data science environment more »
partnership model, conveying information clearly and creates a sense of trust with stakeholders. Preferred qualifications, capabilities and skills Experience with deep learning frameworks (pytorch, tensorflow) Experience with big-data technologies (Spark, Hadoop) or distributed computation frameworks (Dask, Modin) Hands on experience with Natural Language Processing (NLP) and Large Language more »
London, England, United Kingdom Hybrid / WFH Options
Phasecraft
MongoDB and Docker Experience in Julia and different programming paradigms Experience in Jira or similar project management tools Experience with NumPy, SciPy, NetworkX, Pandas, TensorFlow, or similar scientific computing libraries Experience with Qiskit, Cirq, pyQuil, or other open source quantum software frameworks Familiarity with developing GPU-accelerated software in more »
analysis, optimise algorithms, publish white papers and mentor team members. Experience : Strong experience with cloud data and ML services. Proficiency in deep-learning frameworks (TensorFlow, PyTorch, etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian more »
the financial/lending industry. Strong programming skills in languages such as Python or R. Familiarity with relevant tools and libraries, including scikit-learn, TensorFlow, or PyTorch. Ability to analyze and interpret complex data sets to drive actionable insights. Excellent communication skills to convey technical findings to non-technical more »
Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/ more »
dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic more »
