126 to 150 of 1,799 Algorithms Jobs in England

related field (or equivalent experience). 5+ years of experience in developing and deploying machine learning models. Strong understanding of machine learning algorithms, deep learning architectures, and statistical concepts. Proficiency in programming languages like Python (with libraries like TensorFlow, PyTorch, scikit-learn). Experience with data wrangling tools and technologies ...

What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge ...

graph analytics for attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security ...

production code and conduct code reviews and debugging for code written by othersTroubleshoot complex technical problems and implement creative software solutions beyond routine approachesMaintain algorithms and services that integrate with dependent systems reliably and efficientlyIdentify hidden problems and patterns in data to drive improvements to coding hygiene and system architectureProvide ...

design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows. Job responsibilities Design ...

degree in computer science or a related fieldAt least 5-7 years of experience in a software engineering roleA strong background in data structures, algorithms, and object-oriented programming in C++Brilliant problem-solving abilitiesThe ability to manage multiple tasks in a fast-paced environmentStrong communication skillsGood understanding of Linux operating ...

culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with ...

concurrency primitives, and collections.* Proven track record of architecting and building low-latency trading systems from the ground up.* Strong command of data structures, algorithms, and TDD/BDD practices, including thorough unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working ...

hand. Adaptability, fast learning, and deep computer science fundamentals are valued far above specialisation in any single framework. Broad Computing Fundamentals: Strong foundations in algorithms, system architecture, concurrency, distributed systems, and performance tuning. Low-Latency & High-Throughput Systems: Deep understanding of performance at the hardware level (memory layout and allocation ...

ready capabilities. Job ResponsibilitiesDesign, develop, and troubleshoot software solutions using creative approaches to solve complex technical challengesWrite secure, high-quality production code and maintain algorithms that integrate with existing systemsCreate architecture and design artifacts for complex applications, ensuring design constraints are met through deliveryBuild AI/ML solutions and agentic ...

related fieldDemonstrated experience deploying, operationalizing, and managing AI, ML, or advanced analytics models in a large-scale enterprise environmentWorking knowledge of AI/ML algorithms, statistical modeling, and scalable data processing pipelinesProficiency with Python-based machine learning libraries such as TensorFlow, PyTorch, and scikit-learnFamiliarity with orchestration frameworks (for example ...

challenges and generate actionable insight. Strong technical capability across Python, PySpark and SQL, with experience working with complex datasets. Strong knowledge of machine learning algorithms, including classification, regression, supervised learning and unsupervised learning. Proven expertise in model tuning and feature selection, with the judgement to evaluate and improve model performance. ...

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 ...

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 ...

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 ...

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 ...

data insights to identify enhancements or new trading opportunities. Collaboration & Innovation: Work closely with senior traders, software engineers, and quants to integrate new algorithms into our e-trading platform. Proactively suggest improvements to our trading tools, frameworks, and processes to drive revenue and efficiency. The team You will join ...

Computer Science or a related technical field; or equivalent related professional experience.5+ years of relevant professional experience. Strong software engineering fundamentals—data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems—and can understand highly complex systems, design moderately complex services ...

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 ...

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. ...

Deep experience operating Kubernetes and cloud infrastructure at scale Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware) Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental ...

/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 ...

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. ...