126 to 150 of 670 Algorithms Jobs in England

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. ...

learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. ...

learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. ...

learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. ...

Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills Required: Competent in primary tech stack Confident with computer science basics (algorithms, data structures, complexity, design patterns) Is productive with the basic tools in their discipline Key Skills Can contribute to an existing framework and is able ...

engineering team through a full delivery cycle — from technical design to release — while maintaining momentum and quality. Strong understanding of software engineering fundamentals: algorithms, data structures, system design, testing, and operational concerns (monitoring, alerting, incident response). Experience working in an agile, fast‐paced product environment with short iteration cycles ...

deploy highly performant, large‐scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java ...

design principles, Swagger/OpenAPI, and Spring REST MVC.* Proficient in building and delivering enterprise-grade Java applications.* Hands-on experience with data structures, algorithms, concurrency, and multi-threading.Database Management* Strong SQL knowledge with experience in relational databases such as Postgres.* Working knowledge of object storage solutions, e.g., AWS S3. ...

data formats. Ideal Candidate Exceptional Python engineer with experience writing well‐typed, production‐quality code in a collaborative monorepo environment. Strong background in complex algorithms and data structures, capable of solving non‐trivial problems in symbolic AI or knowledge representation. Proven track record of end‐to‐end ownership, taking brand ...

mathematical or scientific background who enjoy solving complex engineering challenges through simulation, modelling and advanced software techniques. Key Responsibilities Design, develop and validate advanced algorithms using tools such as MATLAB/Simulink and Python Produce mathematical models and numerical simulations for complex real-world applications Work closely with software, systems ...

Strong knowledge of Python, C++ and CUDA. Strong understanding of one or more deep learning frameworks, such as PyTorch. Strong background in data structures, algorithms and parallel programming on heterogeneous systems. Deep understanding of Linux OS fundamentals, such as scheduling, memory management, NUMA, networking and filesystems. Experience with HPC schedulers ...

visit or relaxing after work. What will you be working on? Working alongside our Data Science team you will be responsible for deploying AI algorithms to edge devices like Smart Meters, acting as a bridge between high level data science and low level hardware engineering. You will be responsible ...

async-std Proficiency with Rust tooling including Cargo, Clippy, Rustfmt, and the wider crate ecosystem Solid understanding of software engineering fundamentals including data structures, algorithms, and systems design Experience with version control, Git, CI/CD pipelines, and automated testing Strong communication and collaboration skills British citizenship and ability ...

engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi‐threaded, and scalable applications using frameworks such as Ray, Horovod ...

interest in artificial intelligence, data science, or software development Basic understanding of programming (Python preferred) Familiarity with concepts such as data analysis, statistics, or algorithms (academic or self-taught is fine) Willingness to learn, ask questions, and take feedback Good communication and teamwork skills Training Level 4 Artificial Intelligence ...

cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation ...

rotation to support production systems DESIRED CHARACTERISTICS 5+ years of software engineering experience in backend development Deep understanding of computer science fundamentals: data structures, algorithms, performance optimization Experience building and operating distributed systems in production Exposure to the full software development lifecycle — from design to production and monitoring Strong commitment ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...