126 to 150 of 716 Algorithms Jobs in England

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 ...

cloud platforms: Azure, AWS, or GCP.Preferred qualifications* Minimum 8-10 years in the industry* Experience on DevOps concepts and way of working* Experience with algorithms and data structures.* Experience in Observability practices with logging, metrics, tracing, and alerting.* Experience with Infrastructure as Code.* Understanding of identity and access management ...

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 ...

containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core valu... ...

containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core values ...

containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core values ...

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 ...

have a strong knowledge of software architecture, distributed systems and engineering best practices You have a deep understanding of Computer Science fundamentals, including algorithms, data structures, object-oriented design and system design You have a collaborative approach and a genuine enthusiasm for solving difficult technical problems You're able ...

multi-threaded software; handling, maintaining and processing large data sets; and network programming A strong understanding of object-oriented design, data structures and algorithms The proactive ability to take the lead on assignments and deliver practical results in a timely manner Must be able to come into our London office ...

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 ...

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 ...