51 to 75 of 778 Algorithms Jobs in the UK

productization based on common customer patternsRequired Qualifications5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system designProduction Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)Experience with cloud platforms ...

objectives, constraints and trade-offs for complex ML systemsModel Development & ProductionDesign and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability ...

modern backend language (e.g., Java, C#, Go, Python) and familiarity with relational databases.Problem Solving: A strong grasp of computer science fundamentals (data structures, algorithms) and the ability to apply them to real-world distributed systems.Data-Driven: A habit of using operational data and experiment results to validate that your changes ...

core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data ...

Need to Have: Deep ML technical expertise – 12+ years of professional experience building production AI/ML systems, with strong proficiency in Python, ML algorithms (from classical techniques to deep learning), and modern ML frameworks; proven track record of delivering advanced generative AI and ML solutions ML architectural mastery ...

Need to Have: Deep ML technical expertise – 12+ years of professional experience building production AI/ML systems, with strong proficiency in Python, ML algorithms (from classical techniques to deep learning), and modern ML frameworks; proven track record of delivering advanced generative AI and ML solutions ML architectural mastery ...

generative and agentic AI.Mandatory Skills Strong expertise in Generative AI technologies. Proven experience with Agentic AI frameworks and methodologies. Solid understanding of machine learning algorithms and data structures. Experience in designing scalable AI architectures. Proficiency in programming languages such as Python, Java, or similar. Preferred Skills Experience with cloud-based ...

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 ...

technical and non-technical audiences. A proven track record of turning business problems into measurable outcomes. Nice to Have Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits. Exposure to Generative AI, LLMs or agentic AI systems. MLOps experience, including CI/CD, model monitoring and deployment pipelines. Experience ...

product requirements.Use machine vision and image-analysis techniques to solve complex engineering challenges.Contribute to projects using CNNs and Transformer networks.Integrate recent Machine Learning algorithms into production software.Support synthetic training-image generation and the curation of real-world ISR imagery.Work closely with Researchers to understand and implement technical solutions.Contribute to system ...

machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. ...

level languages (Python & C++ or similar).Familiarity with modern distributed computing platforms (specifically: docker, kubernetes, ceph, mongodb & kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release ...

based languages such as Java, Kotlin. Experience designing and building RESTful APIs and microservices architectures. Solid understanding of software engineering fundamentals, including data structures, algorithms, and system design principles. Experience working with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices (CI/CD pipelines, containerisation with Docker/ ...

operational decision-makingCollaborate with analysts, product managers, engineers, operations and risk teams to translate business requirements into actionable data science solutionsDevelop robust data pipelines, algorithms and tools to support production-grade modelling and decision-makingStay informed about the latest advancements in data science, machine learning, and payment fraud prevention techniques ...

turns dunnhumby’s analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce ...

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 ...

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 ...

handling and resource management in parallel execution environments. Deliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability. Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend ...

eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. ...

loop detection, and production monitoring and observability.Extensive experience developing and integrating Gen AI and ML solutions into existing products and systems.Strong knowledge of ML algorithms, from classical techniques to deep learning methods.Experience designing, deploying, and operating scalable AI/ML systems in cloud environments, with expertise in containerization and orchestration ...

production monitoring and observability. Extensive experience developing and integrating Gen AI and ML solutions into existing products and systems. Strong knowledge of ML algorithms, from classical techniques to deep learning methods. Experience designing, deploying, and operating scalable AI/ML systems in cloud environments, with expertise in containerization and orchestration ...

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 ...

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 ...