sequence-to-sequence models, and attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience 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 »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or more »
retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, ScikitLearn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML more »
scientists Proficiency in data forecasting, analysis, prediction, and deriving trading signals from datasets. Extensive hands-on experience with TensorFlow (and/or Keras), scikit-learn, and related tools, coupled with a strong command of Python. Robust analytical and mathematical abilities essential for model development and validation. Exceptional problem more »
computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores more »
knowledge such as; Experience within Energy markets (forecasting experience is a bonus!) Experience working across a range of ML models, e.g. TensorFlow and scikit-learn GitHub or Azure DevOps knowledge SQL knowledge is desired Good communication skills are required with the ability to discuss technical matters in non more »
My client is a VC-backed fast growing start-up based in Cambridgeshire. They are passionate about developing novel and innovative mechanical testing systems, and are now expanding! If you're an experienced software engineer with an interest in embedded more »
models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive more »
techniques. Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikitlearn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices. You have experience with GitHub and 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 »
similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. 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 »
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 »
Analytical background, as evidenced by a STEM degree in a technical subject Competencies in Python and the Python data science ecosystem (pandas, numpy, scikit-learn etc.) or highly transferable skill analogues Experience developing and evaluating models using at least one of the following technologies: —- Gradient-boosted decision trees 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 »
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 »
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 »
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 »
Role: Senior Quantitative Researcher (Systematic Equities) - Multiple Headcount Location: London (can also be Dubai) Elite Buy-side Investment Management Firm ($60bn+ AUM) Non-compete: Can wait up to 2 years Ideal Candidate will have experience working in for either buy more »
but general SQL knowledge more important)Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)Delivering insights using visualisation tools or libraries (Javascript preferred)Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »
