76 to 100 of 1,175 Algorithms Jobs in London

problemsProvides feedback and proposes improvements to architecture governance practicesCreates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

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 ...

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 ...

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 ...

developing engineers across the team. Thorough knowledge of Java programming concepts (and Python a plus). Strong grounding in object-oriented programming, data structures, algorithms, and design patterns. Experience building highly available, low-latency systems with a small footprint - including JVM internals, performance optimization, concurrency, and tuning for GC-free ...

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 ...

core Java, specializing in low-latency, high-throughput distributed applications.Profound understanding of software development fundamentals, data structures, design patterns, object-oriented programming, and algorithms complexity analysis.Demonstrated experience with messaging technologies such as Solace, Kafka, etc.Practical experience with Chronicle and/or Aeron.Experience with distributed caching techniques.Proven track record in implementing ...

/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 ...

working as a Software Engineer with one or more domains and/or technologies of expertise Systems and/or application programming skills including algorithms, data structures, concurrency, scaling, testing, infrastructure, software design and system design Experience troubleshooting and analyzing remotely deployed software systems Capacity to work holistically on software ...

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 ...

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 ...

learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over-provisioning while maintaining strict SLAs. Complementary Behaviours Toil-Reduction Mindset: A relentless focus ...

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 ...

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 ...