Central London, London, United Kingdom Hybrid / WFH Options
Client Server
You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's More ❯
role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes. Build and expand data pipelines for our advanced statistical and AI models, operating at scale More ❯
design, algorithm design, data structures, problem solving and complexity analysis. PREFERRED QUALIFICATIONS - Previous technical internship(s) if applicable. - Experience with distributed, multi-tiered systems, algorithms, and relational databases. - Experience in optimization mathematics such as linear programming and nonlinear optimisation. - Ability to effectively articulate technical challenges and solutions. - Adept at handling More ❯
work in a multi-disciplinary team and will have the opportunity to be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development. Responsibilities: Build and optimize ML models for biological age determination and disease stratification based on epigenetic data; Work with More ❯
EMEA SARL (Italy Branch) Are you interested in working at the forefront of Machine Learning and AI? Do you want to apply Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been a strategic focus for Amazon since its early days. We are pioneers More ❯
the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and engineers to research, design, and develop generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams More ❯
oriented design, algorithm design, data structures, problem solving, and complexity analysis. PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or More ❯
interns by providing technical guidance for their projects. -Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed More ❯
object-oriented design, algorithm design, data structures, problem solving and complexity analysis. Previous technical internship(s) if applicable. Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimisation. Ability to effectively articulate technical challenges and solutions. Adept at handling More ❯
s degree with 4+ years of CS, CE, ML, or related field experience Experience programming in Java, C++, Python, or related languages Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development More ❯
the following (or a passion to learn them): preferably someone with 2+ years of experience Foundational knowledge in Object-Oriented Programming concepts, data structure, algorithms, preferably in any JVM languages (Java/Kotlin/Scala/Clojure) and Python . Experience in using cloud services (e.g. AWS ) Experienced or interested More ❯
the following (or a passion to learn them): preferably someone with 2+ years of experience Foundational knowledge in Object-Oriented Programming concepts, data structure, algorithms, preferably in any JVM languages (Java/Kotlin/Scala/Clojure) and Python . Experience in using cloud services (e.g. AWS ) Experienced or interested More ❯
Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear programming and nonlinear optimisation • Ability to effectively articulate technical challenges and solutions • Adept at handling ambiguous or undefined More ❯
causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc. Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools. Hands-on experience with classical ML and modern More ❯
architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions. Strong knowledge of data structures, algorithms, and design patterns Experience in data driven performance analysis and optimizations. Strong communication skills and the ability to work in a team. Strong analytical and More ❯
deliver end-to-end solutions. We are seeking passionate, hands-on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. You will More ❯
to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software More ❯
now make up the majority of the business on The FBA team is responsible for the science, business, and operations of the core systems, algorithms, and seller-facing tools and workflows of the FBA service. These enable FBA sellers to enroll selection, plan and inbound product, and manage and action More ❯
transparent way, communicating clearly and accurately to leadership and the broader organization within the organization Basic Qualifications : 3+ years proficiency with standard deep learning algorithms and model architectures 2+ years' experience in a technical lead or engineering manager role with direct reports 3+ years' experience of professional software development practices More ❯
and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative More ❯
the opportunity to solve the complex challenges of scale and security which are unique to SAP Sovereign Cloud, while using your ability in coding, algorithms, complexity analysis and large-scale system design. You will engage closely with the SAP Sovereign Cloud Operations, Platform, and Application engineering teams and jointly help More ❯
with exceptional problem-solving skills. • Advanced mathematical background, particularly in areas relevant to machine learning and AI. • Basic understanding of machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks. Technical Skills: • Experience with data manipulation and analysis using tools like Pandas and NumPy. • Basic knowledge of cloud More ❯
drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. More ❯
Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization Basic Qualifications: 3+ years proficiency with standard deep learning algorithms and model architectures Have developed a high-performing team through coaching, feedback and ensuring 2+ years' experience in a technical lead or engineering manager role More ❯
set segmentation, transformation, and feature generation Clearly articulate research and development hypothesis, decisions and results Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimisation Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs Work together with More ❯