on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in more »
Work with people from across the globe Create and improve innovative products with a real world impact Responsibilities: Research, design, and implement machine learning algorithms and models to address business challenges and opportunities. Collect, preprocess, and analyze large datasets to extract meaningful insights and features. Develop and deploy scalable machine more »
Data science/Engineering teams. Extensive experience with modern Data platform architecture, experience in Deep Learning (PyTorch/TensorFlow) Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Strong debugging skills Git for version control Azure/GCP for our cloud backend Skills that more »
theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL more »
Data Science role. Significant hands-on experience developing and deploying Data Science and ML capabilities in production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding more »
Data Science role. Significant hands-on experience developing and deploying Data Science and ML capabilities in production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding more »
Azure Cloud Stack Experience with tuning, deployment, monitoring 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 more »
Lead the development and implementation of the engineering strategy for data and personalisation. Manage a team of engineers responsible for building and maintaining recommendation algorithms, big data platforms and infrastructure at scale. Experience managing large global teams of over 200 engineers. Develop and oversee implementation of data-driven approaches, data more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay up-to-date more »
insights. Proficiency in Python and Java programming languages. Experience with SQL databases, including the ability to write optimized queries. Strong knowledge of machine learning algorithms and their application, including the ability to use ML for parameter optimization and automated model building. Experience in data feature engineering. Understanding of financial markets more »
field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to detail. Excellent communication and collaboration abilities to more »
into technical solutions. Utilize AWS services to design and implement robust machine learning pipelines. Research and implement state-of-the-art AI/ML algorithms to drive innovation and improve product capabilities. Mentor and coach junior team members, fostering a culture of continuous learning and growth. Demonstrate technical leadership across more »
practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM more »
cloud computing, AWS preferred but Azure also fine You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and have great communication skills What's in it for you: Salary to £70k Pension Health Insurance 25 days holiday Continual learning more »
cloud computing, AWS preferred but Azure also fine You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and have great communication skills You're degree educated, having achieved a 2.1 or above in Computer Science or similar technical discipline more »
implementation of quantitative research models. You will work closely with quantitative analysts and researchers to implementing quantitative research frameworks in Python, including integrating models, algorithms, analytics, and research tools. This is ideally suited to someone who has strong Python development skills and a strong understanding of software engineering principles, and more »
and reporting. Conduct exploratory data analysis to identify trends and patterns relevant to financial performance. Support the development and implementation of data models and algorithms to optimise business processes. Work closely with cross-functional teams to understand business needs and provide data-driven insights and solutions. Requirements: Bachelor's degree more »
developers Manage your workload and deliver features independently Requirements: 3+ years of experience in Ruby development Strong problem-solving skills with data structures and algorithms knowledge Security and performance awareness Familiarity with coding standards and best practices Excellent written and verbal English communication Bonus Points: Bachelor's degree in Computer more »
and Java (both preferred) for data processing and modelling tasks, with a strong emphasis on Java and EMR. Implement and optimise data models and algorithms to extract valuable insights from large datasets. Utilise AWS services, including EMR, Glue, and Iceberg, for data storage, processing, and ingestion. Ensure data quality and more »
Linux OS/Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc/PhD level - Computer Science or similar discipline Salary more »
classes. Your responsibilities will include: Harnessing Python and other programming languages to analyze large datasets and extract meaningful insights. Developing and optimizing quantitative trading algorithms, applying statistical methods and machine learning techniques. Conducting thorough research on market dynamics, industry trends, and macroeconomic factors to identify new trading opportunities. Working closely more »
The ideal candidate will have extensive experience in financial markets or high-frequency trading, with a proven track record of developing, implementing, and improving algorithms for execution. Responsibilities: Develop and improve our proprietary algorithmic execution infrastructure. Architect and optimize low-latency, event-driven trading systems. Create and validate our in more »
including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure 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 more »
to develop and apply complex mathematical models to real-world financial market scenarios. Responsibilities Develop, implement, and maintain sophisticated quantitative trading models, strategies, and algorithms, ensuring their efficacy and alignment with the fund's objectives. Collaborate with the trading and AI teams to integrate quantitative models into the trading system more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you’ll be doing: ● Consultative more »
