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 »
real-life systems • Good knowledge of parallel computing techniques (Python multiprocessing, Apache Spark), and performance profiling and optimisation • Good understanding of data structures and algorithms • The ability to communicate complex technical concepts to those with little or no technical background in a meaningful, relevant and engaging manner Employees are required more »
degree in Computer Science, Engineering, or related field. Strong proficiency in Java programming language, with a focus on multithreading. Solid understanding of data structures, algorithms, and object-oriented design principles. Experience with low-latency, high-performance systems development. Excellent problem-solving and analytical skills. Effective communication and collaboration skills in 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 »
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 »
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 »
infrastructure and processes. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 3+ years of Python experince Solid understanding of data structures, algorithms, and software design principles. Proficiency in working with large datasets and databases (e.g., SQL, NoSQL). Hands-on experience with data processing frameworks/libraries more »
in data analysis and interpretation Ability to apply statistical techniques to derive insights Experience with data analysis tools and software Knowledge of machine learning algorithms and methodologies Excellent problem-solving and critical thinking abilities Strong communication and presentation skills Ability to work independently and in a team Experience with programming 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 »
with an algorithmic mindset. Bonus Points for: Experience in Big Tech, SaaS, E-commerce, or Ad Networks. Knowledge of graph data structures, path-finding algorithms, and link prediction. Startup mentality and a drive to push boundaries. Familiarity with the social networking landscape. A degree in Computer Science, Data Science, Mathematics 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 »
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 »
systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery) Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product Required Technical and Professional Expertise Developing specific integration services (APIs, event-based integration). Azure Integration 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 »
London, England, 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 »
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 »
Central London / West End, 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 »