126 to 150 of 1,735 Algorithms Jobs in England

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 ...

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 ...

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 ...

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. ...

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. ...

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 ...

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 deploymentThis is not an exhaustive list, and we are keen to hear from you even if you might not have experience ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

clients worldwide. You’ll work across different areas of the CAD-CAM platform depending on project demand, tackling challenges around 3D geometry, mathematical algorithms, optimisation, toolpath generation and automated manufacturing workflows. Key requirements Strong commercial experience with C#/.NET and ASP.NET Core 8+ Experience developing cloud-based applications, ideally ...