126 to 150 of 967 Algorithms Jobs in England

Responsibilities Interactive Tooling & Platforms: Design and build interactive tools for small and large molecule drug discovery, seamlessly integrating molecular design workflows, data, computational algorithms, and AI models. Scalable Data Ecosystems: Build and enhance a modern, scalable ecosystem of applications and pipelines to acquire, capture, move, store, transform, link, share ...

problems faced by customers. Quality Assurance and Compliance Develop and enforce statistical standards and best practices for all experimentation processes. Monitor and evaluate statistical algorithms to ensure accuracy, reliability, and scalability. Provide internal stakeholders with guidance on statistical compliance and methodologies to safeguard the credibility of experiment results. Education ...

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 ...

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 ...

learn etc.)Have experience productionising machine learning models and/or AI solutionsAre an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systemsHave experience with SparkHave knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML FlowHave experience ...

agentic AI frameworks. Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites. Strong algorithms, data structures, problem solving skills, and ability to translate business problems into scalable solutions. Good command of coding standards and Strong understanding of both high ...

lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud-based technologies, data mesh architectures ...

initiatives that enhance the quality and personalization of sponsored listings for travelersPartner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectivesDefine success metrics, analyze performance data, and identify opportunities to drive growth in sponsored listings through auction ...

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 ...

that enhance the quality and personalization of sponsored listings for travelers Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics, analyze performance data, and identify opportunities to drive growth in sponsored listings through ...

capabilities and scientific output: Contribute to scientific research through experimentation, analysis, and implementation of modelling or analytical approaches. Develop and test innovative AI models, algorithms, and tools to address complex data-driven problems across domains such as nuclear fusion, environmental sustainability and healthcare. Engage with real-world problems as contexts ...

easy to work with, and will slot naturally into a close-knit, high-performing team. Required Skills Technical Expertise: Solid understanding of machine learning algorithms and frameworks with a general grounding in software engineering practices and a genuine curiosity about how ML models work. Python: Strong proficiency and hands ...

Proven experience delivering enterprise‐grade Scala applications in production environments, with a focus on quality, resilience, performance, and observability. Strong understanding of data structures, algorithms, concurrency, and multi‐threading, with the ability to design efficient and scalable solutions for high‐throughput systems. Database ManagementStrong SQL knowledge with experience in relational ...

agentic AI frameworks. Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites. Strong algorithms, data structures, problem solving skills, and ability to translate business problems into scalable solutions. Good command of coding standards and Strong understanding of both high ...

powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

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 ...

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 ...

software development experience using both C++ and Python. Solid understanding of the trade lifecycle and financial markets. Excellent computer science fundamentals, including data structures, algorithms, data processing and transformation. Comfortable working in Linux environments. Strong analytical and problem-solving skills, with a naturally curious mindset and a desire to keep ...

software development experience using both C++ and Python. Solid understanding of the trade lifecycle and financial markets. Excellent computer science fundamentals, including data structures, algorithms, data processing and transformation. Comfortable working in Linux environments. Strong analytical and problem-solving skills, with a naturally curious mindset and a desire to keep ...

data within the business. Description Duties of the Data Scientist: Analyse large datasets to identify trends and actionable insights. Develop predictive models and algorithms to solve business challenges. Collaborate with stakeholders to understand data requirements and deliver solutions. Present findings in a clear and concise manner to non-technical audiences. ...

with experience writing production quality code using ML libraries and deep learning frameworks. Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex ...

Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction. Demonstrated research excellence and a strong understanding of machine learning principles, algorithms and statistical methods. Excellent problem‐solving skills and the ability to work independently and as part of a team. Strong programming skills in Python ...

have a good knowledge of event driven architecture You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, Algorithms You have a good understanding of CI/CD and Infrastructure as Code (IaC) You have an appreciation of Azure, SaaS, PaaS, microservices ...

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 ...