and Windows, and use Python and C# as primary languages, with an emphasis on Python and the Python scientific stack: numpy, scipy, pandas, scikit-learn, etc. We implement the systems that require the highest data throughput in Java. We implement most of our long running services and analytics more »
Strong proficiency in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new technologies and more »
building and maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to import, store, process and archive data If you feel your experience is more »
s degree in Computer Science, Mathematics, or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience with more »
quantitative 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 Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational more »
learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication and interpersonal more »
the Influencer Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and more »
Node.js, Python, Java, or Go. Experience with front-end frameworks like React, Angular, or Vue.js. Strong understanding of machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and tools. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes). Proficiency in database management (SQL, NoSQL) and data more »
frameworks, preferably with the MLOps context. Unit Testing, Integration Testing, E2E Testing, ETL/ELT Experience or at least knowledge of the following: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab Any experience of SQL, NoSQL, Vector DB, Graph DB more »
Python, R, or other programming languages for data analysis and machine learning. Familiar with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, etc.. Experience with Microsoft Azure AI services. Experience with Azure data and analytics services, such as Azure Data Factory, Azure Data Lake, Azure more »
data scientist position at Leidos Arlington, VA. office, the candidate we be a strong Python coder with knowledge in using ML libraries like SciKitLearn, TensorFlow, Keras on both CPU and GPU compute architectures. Primary Responsibilities Create AI/ML prototypes for use cases requiring identifying entity/ more »
Data Scientist - London (Hybrid) - 200k+ Company We are working with a global energy trading organisation who are committed to building a best-in-class Data Science platform, as being at the forefront of data management and analytics is the foundation more »
NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could more »
as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of quantitative finance concepts, including asset pricing, risk management, and portfolio optimization. Excellent problem-solving skills and the ability to more »
and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data more »
and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data more »
deep understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in production environments. Familiarity with financial markets and trading more »
deploying machine learning models in a production environment - ideally in a start-up or scale-up. - Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). - Python - Big data processing tools (e.g., Spark). The role offers a salary range of between £70-100K depending on experience. more »
concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic more »
DATA SCIENTIST HYBRID (LONDON) £60,000 - £70,000 COMPANY: Join a consumer finance business focused on simplifying the consumer finance experience. Our client is committed to making finance easier for their customers. With its first product, a digital credit card more »
in the company. Machine Learning Engineer - Ideal skillset would include: Top Academics in a relevant field Strong knowledge of TensorFlow, PyTorch, Keras and Scikit-Learn Ideally 1+ year professional experience as a Machine Learning Engineer Research minded and experimental approach to problem solving This is a very innovative more »
I am currently on the lookout for a Security Cleared Machine Learning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government more »
Statistical Arbitrage Quant Researcher Locations: London The Firm: A leading multi-strategy hedge fund with ~$15 billion in assets under management is seeking an exceptional Medium Frequency Statistical Arbitrage Quant Researcher. With a global footprint and a reputation for excellence more »
Senior Data Scientist – Media - (90% remote) - £90k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like more »
Senior Machine Learning Scientist – Media - (90% remote) - £90k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd more »
