151 to 175 of 445 Data Structures Jobs

Data Analyst Location: Manchester (Trafford Park, near MediaCity) - Hybrid (2 days in office) Salary: £40,000-£55,000 + benefits (25 days holiday, pension, flexible working) Start Date: ASAP The Company A fast-scaling data technology business working with major names in media, marketing, and research. They provide behavioural data from real devices, enabling evidence-based decisions … scale. With rapid growth underway, the business is building out a central analytics function to support both internal teams and external clients. The Role This is a hands-on data analyst role with broad exposure to product, technical, and commercial teams. You'll work directly with stakeholders, taking half-formed questions and turning them into clear, data-led … high-growth environment. Key Responsibilities Analyse large, complex datasets to uncover trends and guide decision-making. Translate ambiguous business questions into clear, metric-driven insights. Build and present concise data stories to internal and external stakeholders. Support compliance efforts with robust monitoring and analysis. Develop lightweight automation to improve internal reporting and processes. Provide insights on marketing/media More ❯

Data Analyst Location: Manchester (Trafford Park, near MediaCity) – Hybrid (2 days in office) Salary: £40,000–£55,000 + benefits (25 days holiday, pension, flexible working) Start Date: ASAP The Company A fast-scaling data technology business working with major names in media, marketing, and research. They provide behavioural data from real devices, enabling evidence-based decisions … scale. With rapid growth underway, the business is building out a central analytics function to support both internal teams and external clients. The Role This is a hands-on data analyst role with broad exposure to product, technical, and commercial teams. You’ll work directly with stakeholders, taking half-formed questions and turning them into clear, data-led … high-growth environment. Key Responsibilities Analyse large, complex datasets to uncover trends and guide decision-making. Translate ambiguous business questions into clear, metric-driven insights. Build and present concise data stories to internal and external stakeholders. Support compliance efforts with robust monitoring and analysis. Develop lightweight automation to improve internal reporting and processes. Provide insights on marketing/media More ❯

Data Analyst Location: Manchester (Trafford Park, near MediaCity) – Hybrid (2 days in office) Salary: £40,000–£55,000 + benefits (25 days holiday, pension, flexible working) Start Date: ASAP The Company A fast-scaling data technology business working with major names in media, marketing, and research. They provide behavioural data from real devices, enabling evidence-based decisions … scale. With rapid growth underway, the business is building out a central analytics function to support both internal teams and external clients. The Role This is a hands-on data analyst role with broad exposure to product, technical, and commercial teams. You’ll work directly with stakeholders, taking half-formed questions and turning them into clear, data-led … high-growth environment. Key Responsibilities Analyse large, complex datasets to uncover trends and guide decision-making. Translate ambiguous business questions into clear, metric-driven insights. Build and present concise data stories to internal and external stakeholders. Support compliance efforts with robust monitoring and analysis. Develop lightweight automation to improve internal reporting and processes. Provide insights on marketing/media More ❯

implement, support) with cloud platforms (AWS, Azure, or Google Cloud) and containerization (Kubernetes Software Development). Experience with UI/UX principles and design tools. Experience with database management, data modeling, and querying (e.g., Oracle, SQL), including Oracle DB Development, Postgress, SQL, and MS DBs. Experience with algorithms, data structures, and system design. Experience in ITIL and … Strong knowledge of databases (e.g., SQL, Oracle). Strong knowledge of Firewalls, VPNs, and Secure Sockets Layer (SSL)/Transport Layer Security (TLS). Strong knowledge of encryption for data at rest and in transit. Strong knowledge of operating systems (e.g., Linux, Windows) and basic troubleshooting. Ability to think critically, problem solve creatively and perform root cause analysis. Flexibility More ❯

Engineer - Generative AI and Search - Artificial Intelligence Location: London Business Area: Engineering and CTO Ref #: Responsibilities Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM … prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability. What You'll Have the Opportunity To Do Collaborate closely with cross-functional teams, including product managers and engineers … value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure More ❯

to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these … our team. Natural Language Processing (NLP) methods are used to process collections of unstructured and semi-structured texts in order to extract semantic meaning, enhance the quality of the data and derive actionable insights and analytics. Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation … related fields. and 2+ years of relevant work experience Experience with deep learning frameworks such as PyTorch Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering More ❯

solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your … QUALIFICATIONS Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking More ❯

to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these … building and applying LLMs for production systems and applications Write, test, and maintain production quality code Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI, NLP and LLMs and … experience Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering More ❯

to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these … Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience Experience with machine learning and deep learning frameworks An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering More ❯

a focus on professional growth, this company is dedicated to fostering an environment where employees can thrive and make a difference. Key Responsibilities: Develop and maintain applications using distributed data storage and parallel computing technologies, including Oracle, Postgres, Cassandra, Hadoop, and Spark. Utilize back-end applications and data integration tools such as Java and Groovy. Create user-facing … applications that support mission needs and enhance user experience. Work with web technologies, including Typescript and React/Redux, to develop responsive applications. Provide data processing and analysis to support data integration efforts. Collaborate with the engineering team to provide feedback on product improvements and UX design. What We're Looking For: Bachelor's degree in Computer Science … Engineering, or a related field. Over 5 years of experience in Platform, Data, Software, or Application engineering/development. Experience with space operations and familiarity with Foundry is highly preferred. Strong understanding of data structures, storage systems, cloud infrastructure, and front-end frameworks. Proficiency in programming languages such as Java, C++, Python, JavaScript, or similar. Active TS More ❯

development process and enhance the user experience. Skillset/Experience: 7+ years of experience in developing web applications using .NET technologies. Strong knowledge of object-oriented programming, design patterns, data structures, algorithms, and security best practices. Understanding and experience in distributed applications development. Knowing methods of performance analysis and optimization. Proficient in .NET Core, C#, ASP.NET MVC, Web … a team in a fast-paced environment. Proficiency in DB2, Snowflake, and Azure cloud technologies. Understanding of insurance-specific reporting categories and the capability to translate them into actionable data strategies. Project management skills, having previously led transformative tech projects. Excellent communication and stakeholder engagement skills. Ability to drive innovation while ensuring stability, security, and compliance Skills Bachelor's More ❯

systems used by traders and financial analysts globally. Key Responsibilities Design, develop, and maintain robust ultralow-latency applications for electronic trading systems. Build and optimise components for real-time data processing, order execution, and market connectivity. Collaborate with quants, traders, and data scientists to integrate AI and machine learning models into trading workflows. Implement microservices and APIs for … object-oriented programming and multithreading/concurrency. Experience building real-time, high-throughput systems (ideally in finance or trading). Familiarity with electronic trading platforms, FIX protocol, or market data feeds is a strong plus. Exposure to AI/ML frameworks or data science tools is desirable. Proficiency in SQL and experience with relational databases (e.g. SQL Server … oriented environment. Experience with containerization (Docker, Kubernetes). Exposure to functional programming concepts (e.g., F# or other paradigms). Background in financial markets, derivatives, or algorithmic trading. Knowledge of data structures, networking, and low-latency optimisation techniques. Why Join Us? Work on mission-critical fintech systems used in global markets. Collaborate with a world-class team of engineers More ❯

to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 1 billion proprietary and third-party data points published daily across all asset classes searchable, discoverable, and actionable. Bloomberg has been building Artificial Intelligence … oriented programming language (Python, Go, etc.) A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management Industry experience with machine learning teams Working knowledge of common More ❯

relevant work experience 5+ years of hands on experience with Python to build, train, and evaluate models 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training More ❯

re redefining what a bank is from the inside out. Our technology and our culture are changing to craft a true engineering-led organisation.This role sits within our Customer Data Services Platform and we're the team that looks after the customer data for the whole of Lloyds Banking Group. Our mission is to make this data … does the right thing. Experience working with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka and Postgres. Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Familiar with test driven development approach Experience working with container environments in particular Docker, Kubernetes and Helm (e.g. GCP, Azure, AWS), ideally GCP. Familiar with automating CI … shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer More ❯

and web development trends and incorporate best practices. Document processes, models, and code for maintainability and knowledge sharing. Work closely with cross-functional teams, including product managers, designers, and data engineers, to deliver impactful solutions. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. Strong programming skills in … systems is a plus. Excellent problem-solving and communication skills. Proven experience as an AI Developer, Machine Learning Engineer, or similar role focused on web applications. Solid understanding of data structures, algorithms, and software development lifecycle. Ability to communicate complex AI concepts effectively to technical and non-technical stakeholders. Preferred Qualifications: 2+ years of experience in AI/ More ❯

is a WhatsApp channel that only publishes visa sponsorship jobs. Duties & Responsibilities: A keen eye for detail Innovative approaches to problem-solving Outstanding communication skills in words Understanding of data structures and algorithms Familiarity in programming languages like Python, C/C++, Java, and others Familiarity with GITHub Perseverance in resolving an issue Capacity to operate autonomously and More ❯

is a WhatsApp channel that only publishes visa sponsorship jobs. Duties & Responsibilities: A keen eye for detail Innovative approaches to problem-solving Outstanding communication skills in words Understanding of data structures and algorithms Familiarity in programming languages like Python, C/C++, Java, and others Familiarity with GITHub Perseverance in resolving an issue Capacity to operate autonomously and More ❯

relevant work experience 5+ years of hands on experience with Python to build, train, and evaluate models 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Scientific More ❯

relevant work experience 5+ years of hands on experience with Python to build, train, and evaluate models 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Scientific More ❯

for image manipulation and format conversion and YOLO object detection frameworks - Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns - Data structures and algorithms for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data … frameworks Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases More ❯

for image manipulation and format conversion and YOLO object detection frameworks - Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns - Data structures and algorithms for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data … frameworks Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases More ❯

for image manipulation and format conversion and YOLO object detection frameworks - Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns - Data structures and algorithms for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data … frameworks Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases More ❯

Senior Software Engineer - Core Communications Alerts Location New York Business Area Engineering and CTO Ref # Description & Requirements Team Overview Our data moves global financial markets - and conversations around that data are central to how markets are shaped. Our group, Core Communications, builds the infrastructure responsible for delivering real-time communications between the 350k financial professionals on the … placing our team at the center of our universe! Our users rely on these products because of their real-time performance, extensive scale, ironclad security, tight integration with financial data and applications. The MSG Alerts team, part of Bloomberg's Community Group, focuses on delivering alert-based features for our email product. Our mission is to ensure that users … 4+ years working within Java ecosystem A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems Honest approach to problem-solving, and ability to collaborate with peers, partners More ❯

Description Utilizing data in Medical Device Reports (MDRs) involves a focus on ensuring data integrity, assessing its value, and evaluating data size and types. The role also entails collaboration with analytics for comprehensive data analysis and interpretation. The Level 2 Cryptologic Computer Scientist shall possess the following capabilities: The Cryptologic Computer Scientist will be able to … be considered relevant if the program contains, at minimum, a concentration of courses in the following fundamental CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology (IT) or Information Systems (IS) degrees may be considered relevant if the programs More ❯