1 to 25 of 323 Permanent Algorithms Jobs in England

/CD tools (e.g. Docker, Jenkins) and DevOps practices Understanding of software testing, debugging, and SDLC Strong foundation in data structures and algorithms Projects or internships showcasing software development skills Graduate Development Experience Our graduate experience is designed to help you build the skills, mindset, and confidence to thrive ...

experience building enterprise applications and modern web technologies in production environments • Software Engineering Fundamentals – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development ...

Financial Services, FinTech, Trading, Low Latency, C++, Linux) Lead rapid prototyping and validation efforts: Design and implement proof-of-concept solutions for new trading algorithms and system approaches, with emphasis on speed-to-market and iterative feedback from stakeholders. Drive troubleshooting investigations: Investigate complex production issues, performance anomalies, and system ...

Skills AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have team leadership experience, happy to mentor and develop others as well as provide 1-2-1s and performance reviews You're collaborative ...

data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development ...

agentic workflows, implementing RAG architectures, and integrating AI capabilities into existing products and systems Deep ML technical skills – Strong proficiency in Python and ML algorithms ranging from classical techniques to deep learning; proven experience training, fine-tuning, and deploying neural network models using PyTorch with focus on performance optimization ...

Skills AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and pragmatic with great communication skills You're degree educated in a STEM discipline, having achieved a 2.1 or above What ...

focused Data Scientist position. We're looking for someone who enjoys solving complex mathematical problems and has the technical ability to turn models and algorithms into reliable, production-ready software. You'll work across data science, machine learning, data engineering and AI development, with the opportunity to influence new product ...

Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good 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 ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

experience with an Object-oriented language (preferably Java), Multi-Threading and any relational databaseSolid architectural understanding of enterprise applicationsUnderstanding of computing science fundamentals – concurrency, algorithms, data structures, design patterns, etc.PreferredExperience with Java Core, Spring framework and LinuxExperience developing large financial software trading systems with substantial hands-on development experience ...

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 ...

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 ...

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. ...

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 ...

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 ...

advancements in 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 AI services ...

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 ...

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 ...

test automation and operational reliability Focus on understanding our clients' needs and solve their problems Work on exciting prototypes and new services and algorithms Develop high-performance, scalable software using a wide range of technologies and platforms Create engaging user experiences through clean and crisp user interfaces Deliver quality products ...