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 »
as pandas, numpy, and scikit. Solid understanding of the mathematical, probability, and statistical principles behind machine learning models. Experience with deploying common machine learning algorithms (both supervised and unsupervised). Excellent communication and data presentation skills, with the ability to share technical concepts in an accessible way for all audiences. more »
in high-paced value-add driven environment Provide technical support to junior engineers collaborating on your project Business Knowledge/Technical Skills: Data Structures & Algorithms Experience with database solutions (OLAP and OLTP) Knowledge of web application deployment processes and application architecture Ability to establish and follow SDLC Proficiency in cloud more »
is a plus. Experience with one or more major relational/object databases. Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Comfortable with working with multiple languages more »
is a plus. Experience with one or more major relational/object databases. Experience in software development, including a clear understanding of data structures, algorithms, software design, and core programming concepts Comfortable multi-tasking, managing multiple stakeholders, and working as part of a team Comfortable with working with multiple languages more »
and verbal Ability to work effectively in a team environment Enthusiasm for learning and adapting to new technologies Desired Skills Knowledge of machine learning algorithms and their applications Experience with big data technologies (e.g., Hadoop, Spark) Understanding of financial services industry trends and challenges Familiarity with cloud platforms (AWS, Azure more »
business challenges using advanced analytics and machine learning techniques You’ll be supporting the development, deployment, and maintenance of advanced machine learning models and algorithms, including large language models This is an opportunity to make a significant impact with us and establish yourself as a prominent contributor in the field more »
complex business challenges using advanced analytics and machine learning techniques Youll be supporting the development, deployment, and maintenance of advanced machine learning models and algorithms, including large language models This is an opportunity to make a significant impact with us and establish yourself as a prominent contributor in the field more »
business challenges using advanced analytics and machine learning techniques You’ll be supporting the development, deployment, and maintenance of advanced machine learning models and algorithms, including large language models This is an opportunity to make a significant impact with us and establish yourself as a prominent contributor in the field more »
or related technical discipline. 2 - 5 years of software development experience. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent communication skills including experience speaking to technical and business audiences and working globally. Ability to solve problems and apply analysis more »
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Ocho
NLP), ML-Ops, and data pipelines. Familiarity with prominent ML frameworks/libraries like TensorFlow, PyTorch, and scikit-learn. A robust understanding of ML algorithms, statistical techniques, and data analysis methodologies. Hands-on experience with data processing, feature engineering, and model evaluation techniques. Proficiency in cloud platforms like Amazon Web more »
machine learning products from conception to production Excellent problem-solving skills and comfortable with ambiguity in projects Expertise in a variety of machine learning algorithms, such as supervised and unsupervised learning, reinforcement learning, NLP, and computer vision Hands-on experience with applying Generative AI technology to solve business problem Experience more »
Experience with application containerization and deployment process (Docker, GitHub, CI/CD) Strong analytical and problem-solving skills, good understanding of different data structures, algorithms, and their usage in solving business problems Solid verbal and written communication skills Ability to assemble, analyze, and evaluate big data and be able to more »
advantageous Knowledge in Development and fine-tuning of large LLMs A degree in computer science or a related field Responsibilities: Developing and implementing AI algorithms and models Collaborating with the team to design and build features and products Optimising and maintaining existing systems Researching and staying up-to-date with more »
industry through our cloud platform. Utilising a microservice architecture we continue to integrate and deploy mathematical optimisation modules, machine learning solutions and geometric manipulation algorithms through our flexible software pipeline. Working closely with our clients, some of the biggest players in their industries, we revolutionise the user experience and automation more »
ML-Ops, and data pipeline development Proficient with machine learning frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn Deep knowledge of machine learning algorithms, statistical methods, and data analysis techniques Skilled in data processing, feature engineering, and model evaluation practices Familiarity with cloud platforms such as Amazon Web Services more »
in computer science, Software Engineering, or a related field. Experience of at least 4 years in a similar role. Understanding of software development principles, algorithms, and data structures. Proficiency with at least one programming language (such as Java, C#, or Python) and familiarity with web technologies (HTML, CSS, JavaScript). more »
Working with software engineering principles and practices. Working knowledge of at least 2 High Level Programming Languages like Java or Python. Working knowledge of algorithms, data structures and enterprise applications. Formulating clear and concise written and verbal descriptions of Software and System for engineering stakeholders and tracking and managing delivery more »
Clojure, F# Python, or more than one of the following languages: JavaScript, TypeScript, Ruby, Python, Java, C# Data structures and design/analysis of algorithms Exchange-traded financial assets, statistics, or financial engineering Personal traits: Possesses the ability to learn, adapt and grow Demonstrates personal humility, respect for others, and more »
with Product Managers through the entire launch process Strong development experience in Java, C++, C#, or similar OO languages Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals Practical familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures Good understanding of databases (SQL & NoSQL more »
methods, such as regularization, random forests, neural networks and deep learning. Experience with technologies such as Docker and Kubernetes for containerization. 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 »
model governance, auditing, and compliance in regulated environments. Performance Optimization: Improve the performance and scalability of ML models and workflows by optimizing data pipelines, algorithms, and deployment architectures. Tooling & Best Practices: Develop and implement best practices for model development, deployment, and management, leveraging modern MLOps tools like Docker, Kubernetes, MLflow more »
influence, and persuade stakeholders Preferred Skills: Proficiency in KDB+/q Knowledge of the equity market microstructure, liquidity landscape, risk management, or trade execution algorithms Understanding of modern portfolio theory and quantitative risk management techniques Familiarity with central risk platforms and their integration with trading systems Experience with feature engineering more »
learn). Good understanding of relational databases and ability to extract data from them (in any SQL flavour). Strong knowledge of machine learning algorithms and statistical modelling techniques. Excellent problem-solving, critical thinking, and ability to communicate technical concepts simply to different audiences. Experience in owning machine learning projects more »
a dedicated team of software developers and DevOps engineers to refine these models and deploy them into production environments. We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 2000 curators to meet both the quality and more »
