76 to 100 of 1,156 Algorithms Jobs in London

based languages such as Java, Kotlin Experience designing and building RESTful APIs and microservices architectures Solid understanding of software engineering fundamentals, including data structures, algorithms, and system design principles Experience working with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices (CI/CD pipelines, containerisation with Docker/ ...

haveStrong understanding of machine learning methods and experience applying them to complex, data-rich environmentsAbility to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data-driven solutionsExperience deploying ML/AI technologies into production or applied business environments is a plusWhile we advocate using ...

language will be assessed during the interview process.Kindness and empathy is a real requirement. No “smart jerks” at HRT. Strong understanding of data structures, algorithms, and design principles.Excellent communication skills, both written and verbal.HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features ...

turns dunnhumby’s analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce ...

machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while balancing competing demands and deadlinesDemonstrated aptitude ...

TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. ...

with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less ...

directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate data solutions into business-critical applications, actively ...

deep understanding of (but not limited to): Reporting and Analytical Analysis, Predictive Modeling, and Solution Architect Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc. Experience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least ...

/skill design, evaluation, cost control, provider routing, agentic/human‐in‐the‐loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps ...

caching strategiesDeep experience operating Kubernetes and cloud infrastructure at scaleExperience with AI accelerator platforms (GPUs, TPUs, or emerging hardware)Representative projectsDesigning intelligent routing algorithms that optimize request distribution across many accelerators in different environmentsAutoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloadsBuilding production ...

delivering medium‐to‐large scale systems.Industry experience, operating at a senior engineer or technical‐lead‐equivalent level.Solid understanding of object‐oriented design, data structures, algorithms, concurrency, memory management, and system integration.Experience building and supporting distributed systems, including messaging, APIs, and inter‐service communication.Familiarity with Linux environments, build tools, version control ...

procedures and UDFs at scale.Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.).Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them.Background in distributed systems, JVM performance tuning, or columnar/analytical query engines.Experience working ...

large scale systems.* Industry experience, operating at a senior engineer or technical‐lead‐equivalent level.* Solid understanding of object‐oriented design, data structures, algorithms, concurrency, memory management, and system integration.* Experience building and supporting distributed systems, including messaging, APIs, and inter‐service communication.* Familiarity with Linux environments, build tools, version ...

skills: ability to spot design flaws, race conditions and performance bottlenecks in complex architectures.A computer science background or equivalent experience (programming styles, data structures, algorithms, etc.)Experience in building, validating, and/or maintaining large distributed systems at scale.Solid design and problem-solving skills with a demonstrated passion for engineering ...

technologies, enhancing their robustness, and solving complex problems prior to their productization. We’re looking for someone inventive, who can prototype and trial novel algorithms, combining prior internal research, open-source contributions, and their own ideas to create novel user experiences. This role offers the chance to collaborate with some ...

professional experienceTechnical Proficiency:Proven experience with Python and popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn.Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Experience with cloud computing platforms (e.g., AWS, Azure, GCP or equivalent) and their AI/ML services.Proficiency in data manipulation ...

time market data into Align, Endur, and Front Office trading platforms. Familiarity with Flink, Spark Streaming, and modern stream-processing technologies. Knowledge of execution algorithms, quantitative trading strategies, and best execution frameworks. Experience with MDSL, TRG Screen, DACS, or other market data inventory and entitlement platforms. Experience supporting enterprise-wide ...

integrating real-time market data into Align, Endur, and Front Office trading platforms.Familiarity with Flink, Spark Streaming, and modern stream-processing technologies.Knowledge of execution algorithms, quantitative trading strategies, and best execution frameworks.Experience with MDSL, TRG Screen, DACS, or other market data inventory and entitlement platforms.Experience supporting enterprise-wide market data ...

latency. Understanding of AI governance, security, privacy, bias/fairness, and emerging AI regulation.• Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively.• Technical Proficiency: Proficiency in programming languages commonly used in AI development ...

dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different areas and are looking for engineers ...

Familiarity with CI/CD workflows, Git, and MLOps principles Ability to connect technical metrics to business outcomes and select appropriate algorithms Ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders BS, MS, or equivalent experience in a quantitative field Preferred: experience taking initial machine ...

medium-to-large-scale systems Industry experience at a senior engineer or technical-lead-equivalent level Solid understanding of object-oriented design, data structures, algorithms, concurrency, memory management, and system integration Experience building and supporting distributed systems, including messaging, APIs, and inter-service communication Familiarity with Linux environments, build tools ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high‐quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

What You’ll Bring: 5+ years of experience in a high‐impact, production environment as a software engineer Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc. Clean and concise coding style Solid experience with Python Experience working in Linux environment Experience building distributed or data intensive systems ...