126 to 150 of 1,881 Algorithms Jobs in England

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 ...

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. ...

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 ...

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. ...

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. ...

pipelines, planning your own work and contributing code to a shared codebase alongside Research Engineering team members, Software Engineers and Data Scientists. Implement algorithms developed within our Life Sciences teams to a high standard of robustness, testing and performance. Run high-quality analyses of large-scale biological datasets using existing ...

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. ...

security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience ...

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 ...

years’ experience, following a Bachelor’s degree or above in Comp Sci. Technical Fundamentals : A strong grasp of computer science basics—data structures, algorithms, and object‐oriented programming. Full‐Stack Exposure: Familiarity with web app development, including proficiency in at least one modern backend language (e.g., Java, C#, Go, Python ...

Before Me, Positive Energy, Knowledge Explorer, and Own It What We’re Looking For Engineering Fundamentals Solid foundational knowledge of software engineering: data structures, algorithms, system design basics, and how production systems behave under real-world conditions Ability to build and deliver working solutions in Java , with willingness ...

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 ...

/Azure/Kubernetes Kafka GIT Cassandra Docker Redis What You'll Need: Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems) Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc Being a team player A thorough understanding of engineering best practices from ...

years' experience, following a Bachelor's degree or above in Comp Sci. Technical Fundamentals: A strong grasp of computer science basics—data structures, algorithms, and object-oriented programming. Full-Stack Exposure: Familiarity with web app development, including proficiency in at least one modern backend language (e.g., Java, C#, Go, Python ...

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 ...

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 ...

unstructured file handling using CSV, JSON, XML, and APIs. Collaborate with data analysts, data engineers, and other developers on project requirements. Develop and optimize algorithms for efficiency and scalability. Perform testing (unit testing, regression testing) to ensure high-quality software delivery. Translate analytical requirements into technical solutions and document workflows. ...