126 to 150 of 1,799 Algorithms Jobs in England

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. ...

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 ...

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 ...

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 ...

appetite to ramp on Java Comfort designing and operating distributed systems at scale and low latency A solid grounding in maths, algorithms, probability and statistics as applied to real systems Demonstrated AI and agentic‐tooling fluency, as described above Ad tech, auctions or marketplace experience is preferred, and we move ...

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 ...

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 ...

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 ...

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 ...

edge AI, explainability and AI robustness Collaborate with engineers and share technical knowledge Experience Required Strong understanding of AI/ML fundamentals and underlying algorithms Experience in one or more areas including LLMs/RAG, agentic AI, multi-modal AI, edge AI, AI safety, explainability or ML research Strong Python ...

influencing technical decisions and supporting capability growth. Experience with big data tools e.g. Spark, Hadoop, NiFi Exposure to Ansible and Terraform Understanding of ML algorithms and deployment ...

problem solving, working on complex, distributed systems You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a scaling company in a role that you can shape and influence What's in it for you: As a Lead ...

experience building production LLM-powered or agentic applications, including tracing, evaluations, and guardrails Strong Python programming skills and deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Knowledge of Kubernetes (AWS EKS) Experience training models in Databricks and SageMaker Experience with MLFlow Practical RAG experience ...

meet you! You will be responsible for: Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams ...

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 ...