solutions that support the safeguarding of the banks systems and sensitive information. Accountabilities Provision of subject matter expertise on security systems and engineering patterns. Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems. Management and protection of secrets, ensuring that they are securely generated, stored, and used. Execution of audits to monitor, identify and More ❯
arises. Our must-haves: Strong experience in translating complex business requirements into actionable analytical models that deliver insights Extensive experience in data science techniques including statistical modelling, machine learning algorithms, and AI. Comfortable with model development, validation, deployment, and performance monitoring. Advanced programming skills in Python or R and experience with SQL. Experience with data visualisation programs such as Power More ❯
foremost, you enjoy building products to solve real, pressing problems for your customers. You enjoy working in a team and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write high More ❯
What You'll Be Doing: Core tasks would include (any/multiple of) but not limited to the following: Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. Classification: Assigning More ❯
for complex financial or data-intensive applications. Familiarity with cloud deployments, and service-oriented architectures. Knowledge of messaging and streaming technologies (NATS, Kafka, or similar). Solid understanding of algorithms, data structures, databases, and distributed systems. Knowledge of ledger systems is a strong plus. Passion for solving challenging technical and financial problems with clean, maintainable code. Commitment to quality-driven More ❯
even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯
even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯
performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure More ❯
leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address More ❯
applications Design and implement AI models for web-based applications (e.g., recommendation engines, chatbots, predictive analytics). Preprocess and analyze large datasets to train and validate models. Optimize AI algorithms for performance, scalability, and accuracy. Collaborate with front-end and back-end developers to seamlessly integrate AI components via APIs or microservices. Evaluate, experiment, and select appropriate AI algorithms and … 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/ML development. 8+ years More ❯
complex healthcare and varied data to develop innovations for pressing healthcare delivery challenges through visualization, machine learning, optimization, and statistical inference solutions. Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, and predictive modeling. Develops descriptive and predictive models, from conception to completion and provides long … quality and integrity. Data Analysis: Applies statistical and machine learning techniques to identify patterns, trends, and insights in the data. Model Development: Assists in the development of predictive models, algorithms, and statistical analyses to solve specific business problems. Data Visualization: Creates clear and insightful data visualizations to communicate findings to non-technical stakeholders. Collaboration: Collaborates with cross-functional teams, including More ❯
Reverse Engineering with at least 1 of the following tool or an equivalent: IDAPro, GDB, WinDbg, Immunity/OllyDbg Knowledge of analyzing shellcode, packed and obfuscated and the associated algorithms Experience in host and network analysis to identify and characterize anomalies and vulnerabilities in the platform Java,Spring Framework, SQL. Familiar with JavaScript and Angular JIRA Experience w/Postgress More ❯
integrating pricing models. Background in real-time environments. Strong knowledge of pricing analytics. Experience in Python, Java or C++ (kdb+ is a bonus). Exposure to execution and hedging algorithms is a plus. Working model This role operates on a hybrid working model and will require 2-4 days in the office. By submitting your details you agree to our More ❯
crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency and blockchain technologies. Strong problem-solving skills and the ability to work in a fast-paced More ❯
Computer Science (CS). Related fields (e.g., Engineering, Mathematics) may 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 More ❯
software and correct defects • Integrate existing software into new or modified systems or operating environments • Provide recommendations for improving documentation and software development process standards • Develop, modify, and implement algorithms to address system performance or functional issues in operational systems • Assist with developing and executing test procedures for software components • Write or review software and system documentation • Develop software solutions More ❯
to communicate technical insights to non-technical stakeholders Collaborative mindset and ability to work effectively in a team environment Preferred (Bonus) Skills: Familiarity with machine learning and self-learning algorithms Experience working with geological and mining datasets Understanding of software development tools and workflows Exposure to 3D data modelling or geological simulation tools More ❯
to communicate technical insights to non-technical stakeholders Collaborative mindset and ability to work effectively in a team environment Preferred (Bonus) Skills: Familiarity with machine learning and self-learning algorithms Experience working with geological and mining datasets Understanding of software development tools and workflows Exposure to 3D data modelling or geological simulation tools More ❯
Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯
problems. In this role, you will: Develop software solutions to address problems in multi-target tracking, sensor/data fusion, distributed consensus, and related challenges. Make key decisions about algorithms and architecture. Build state-of-the-art solutions by combining engineering excellence, academic techniques, and personal ingenuity. Rapidly iterate to adapt solutions to new needs and continuous deployment. Collaborate with More ❯
Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯
IA, and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote interview process with the capacity to start ASAP. More ❯
IA, and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote interview process with the capacity to start ASAP. More ❯
and release management processes for ML systems. Strong leadership, management, planning and co-ordination skills with demonstrated ability to work collaboratively across an organization. Experience with modern machine learning algorithms including large language models. Preferred Qualifications Experience with leading projects and co-ordinating work across a team. Excellent project management skills including project structuring and managing work streams interdependently. Excellent More ❯
