351 to 375 of 744 Algorithms Jobs in London

corporations. Our scalable platform uses proprietary Optical Character Recognition (OCR) technology to accurately digitize documents into a readable format and then applies machine learning algorithms to scrutinize for compliance with international trading rules and regulations. Who you are: We are seeking a dynamic and strategic sales leader to drive revenue More ❯

than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital More ❯

queries and data retrieval processes, leveraging the capabilities of the Elastic Learned Sparse Encoder. Unlock the potential of vector search: Implement powerful vector search algorithms and create high-dimensional vector representations of data, allowing users to find the information they need even with imprecise queries. Deliver compelling proof-of-concept More ❯

the opportunity to solve the complex challenges of scale and security which are unique to SAP Sovereign Cloud, while using your ability in coding, algorithms, complexity analysis and large-scale system design. You will engage closely with the SAP Sovereign Cloud Operations, Platform, and Application engineering teams and jointly help More ❯

Wintermute, you will be responsible for your own "desk" right from the start. You will have the opportunity to develop your own product (trading algorithms, trading strategies), while also getting advice and guidance from very experienced traders and developers, including the founders/management team. You will get a lot More ❯

Strong hands-on experience in software engineering Experience with modern idiomatic Rust or a strong desire to learn it Strong Computer Science fundamentals (e.g. algorithms, data structures and concurrency) Familiarity with instruction sets in various contexts Being comfortable or having worked on/with language runtimes, compilers or interpreters Experience More ❯

in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of … applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application More ❯

Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement advanced data models, algorithms, and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem, as well as experience in working with large-scale data processing … such as AWS, Azure, or Google Cloud. Responsibilities: Should have 5+ years of experience as a Data Scientist. Develop and implement data models and algorithms to solve complex business problems. Experience in machine learning models and algorithms using Databricks, Neo4j, Python, R, and big data technologies. Work with cloud platforms … and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and NLP (Natural Language Processing) tasks is a plus. Strong analytical More ❯

Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement advanced data models, algorithms, and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem, as well as experience in working with large-scale data processing … such as AWS, Azure, or Google Cloud. Responsibilities: Should have 5+ years of experience as a Data Scientist. Develop and implement data models and algorithms to solve complex business problems. Experience in machine learning models and algorithms using Databricks, Neo4j, Python, R, and big data technologies. Work with cloud platforms … and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large Language Models) and NLP (Natural Language Processing) tasks is a plus. Strong analytical More ❯

team developing advanced embedded systems What You'll Do: Design and implement embedded software in C and Assembler Develop and optimize sonar signal processing algorithms Integrate code on bespoke embedded platforms Collaborate with hardware and verification teams Troubleshoot, test, and deliver high-reliability code Contribute to software architecture (UML) and More ❯

3+ years experience in a similar role Demonstrable experience in cloud (ideally AWS) Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Benefits: Flexible More ❯

team developing advanced embedded systems What You'll Do: Design and implement embedded software in C and Assembler Develop and optimize sonar signal processing algorithms Integrate code on bespoke embedded platforms Collaborate with hardware and verification teams Troubleshoot, test, and deliver high-reliability code Contribute to software architecture (UML) and More ❯

3+ years experience in a similar role Demonstrable experience in cloud (ideally AWS) Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Benefits: Flexible More ❯

business intelligence domain (i.e. ingestion, pipelining, processing, semantic modelling and visualisations), as well as the data science domain where they will help build complex algorithms and models to solve some of the most interesting problems within the logistics industry. Benefits include: Hybrid working (2 days in the office, 3 at More ❯

Computer Science Tutor, you will have the opportunity to assist students of various skill levels, from beginners to advanced learners, in understanding programming languages, algorithms, data structures, and more. Your expertise and guidance will help students navigate through their coursework, grasp challenging topics, and develop practical problem-solving skills. If More ❯

business intelligence domain (i.e. ingestion, pipelining, processing, semantic modelling and visualisations), as well as the data science domain where they will help build complex algorithms and models to solve some of the most interesting problems within the logistics industry. Benefits include: Hybrid working (2 days in the office, 3 at More ❯

and optimize software for cloud, on-prem, and hybrid deployments Work with Kubernetes, Docker, and cloud technologies (AWS, GCP, or Azure) Implement and optimize algorithms for network routing, resource allocation, and system orchestration Collaborate with cross-functional teams of engineers, researchers, and industry experts What We’re Looking For Strong More ❯

productive, and efficient teams to design, improve, and maintain the technology that powers worldwide trading. Collaborate with developers across the firm who write trading algorithms, monitor trading, build and maintain a world-class research environment, and more. Develop and optimize critical software in an extremely fast-paced, real-time environment. More ❯

new ways to make pricing models. YOUR SKILLS AND EXPERIENCE Strong academic background in STEM. Proficiency in Python and SAS. Experience using machine learning algorithms and applying them in line with industry best practices. Data driven. Ability to work in a fast-paced environment. Excellent written and verbal communication skills. More ❯

and refine ultra-fast, low-latency trading infrastructure 🧬 Optimize systems at the CPU, cache, and memory layers 📈 Engineer efficient data structures and high-performance algorithms 🧩 Identify and eliminate performance bottlenecks at every level of the stack 🚀 Drive innovation through deep systems and hardware-level optimization ✅ What You’ll Bring 💻 Expert More ❯

productive, and efficient teams to design, improve, and maintain the technology that powers worldwide trading. Collaborate with developers across the firm who write trading algorithms, monitor trading, build and maintain a world-class research environment, and more. Develop and optimize critical software in an extremely fast-paced, real-time environment. More ❯

and refine ultra-fast, low-latency trading infrastructure 🧬 Optimize systems at the CPU, cache, and memory layers 📈 Engineer efficient data structures and high-performance algorithms 🧩 Identify and eliminate performance bottlenecks at every level of the stack 🚀 Drive innovation through deep systems and hardware-level optimization ✅ What You’ll Bring 💻 Expert More ❯

new ways to make pricing models. YOUR SKILLS AND EXPERIENCE Strong academic background in STEM. Proficiency in Python and SAS. Experience using machine learning algorithms and applying them in line with industry best practices. Data driven. Ability to work in a fast-paced environment. Excellent written and verbal communication skills. More ❯

effectively within the team, sharing progress, challenges, and insights while being receptive to feedback. Qualifications: Strong software engineering skills, with a solid understanding of algorithms, data structures, and software architecture. Experience with Machine Learning engineering, particularly with modern libraries such as PyTorch. Deep knowledge of generative models, including expertise in More ❯