276 to 300 of 744 Algorithms Jobs in London

technologies: RTL FPGA development in VHDL. Programming in Python and C/C++. Network packet processing and network protocols (ethernet, IP, UDP, TCP ) Cryptographic algorithms, implementations and applications in FPGAs. Linux driver development. Managing/undertaking development using agile techniques. A reasonable estimate of the base salary range for this More ❯

A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience). Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques. A strong track record of scientific research (in any field), with experience in information retrieval, knowledge representation and reasoning, structured More ❯

writing and speaking about the latest breakthrough advances – from scaling direct capture of CO2 from air to using quantum hardware for running machine learning algorithms – and everything in between. You’ll work alongside our project delivery teams, our huge community of science and technology experts to crowdsource their collective intelligence More ❯

writing and speaking about the latest breakthrough advances – from scaling direct capture of CO2 from air to using quantum hardware for running machine learning algorithms – and everything in between. You’ll work alongside our project delivery teams, our huge community of science and technology experts to crowdsource their collective intelligence More ❯

mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. More ❯

mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. More ❯

and software engineers who collaborate closely with our product owners and customers to take modelling to the next level. Your Opportunity: Developing and implementing algorithms which result in plausible modelling behaviour Building pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user More ❯

are fashion specialists, working closely with counterparts in the United States. The team you build will annotate fashion images to provide data to train algorithms for fashion experiences across Amazon. The successful candidate will have a strong passion for fashion, tech, a relentless desire to drive process improvement, and build More ❯

providing technical guidance to the data product team, ensuring the successful execution of the roadmap by driving the implementation of data pipelines, data processing algorithms, and analytics frameworks. Additionally, you will oversee testing, quality assurance, and deployment processes to ensure the reliability and performance of the data product. By adopting More ❯

changing speed, performance and reliability into insurers’ pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented way. This results in a pricing solution which not only allows insurance companies to model More ❯

changing speed, performance and reliability into insurers’ pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented way. This results in a pricing solution which not only allows insurance companies to model More ❯

with one of the following: TypeScript on modern frontend frameworks (React, Vue, or Next) or React Native mobile development projects. Strong computer fundamentals (e.g., algorithms, data structures, and concurrency). Creative problem-solving skills, with the ability to develop innovative solutions to complex problems. Experience developing user-friendly interfaces in More ❯

such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked More ❯

put systems, low latency and high availability software. Bachelor's degree in Computer Science, Software Engineering, or a related experience. Strong computer fundamentals (e.g. algorithms, data structures and concurrency). Excellent interpersonal and communication skills, with a proven track record of working collaboratively in a team setting. Familiarity with best More ❯

such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked More ❯

changing speed, performance and reliability into insurers' pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we've developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented way. This results in a pricing solution which not only allows insurance companies to model More ❯

deep learning and machine learning methods (e.g., for training, fine tuning, and inference) • Experience with design, development, optimization and productionization of generative AI solutions, algorithms, or technologies • Bachelor's degree in Computer Science or equivalent • Hands-on experience with at least one ML library or framework • 2+ years of professional More ❯

be seamless collaborations between trusted partners. So we're building a missing piece of global infrastructure: a secure network to enable organisations to send algorithms to data. This means they can share the benefits of their data with each other, without having to go through the painful and risky process More ❯

machine learning in production. You'll bring experience of being an effective team contributor, and make use of your knowledge of different machine learning algorithms to solve commercial data science problems relating to BBC products. You'll build an understanding of data science best practices within an agile environment. You More ❯

to date with industry trends and emerging technologies in C++ development Qualifications 2+ years of experience in modern C++ Solid understanding of data structures & algorithms Experience with low latency real-time development Good understanding of Linux system internals and networking If you're keen to find out more, don't More ❯

to date with industry trends and emerging technologies in C++ development Qualifications 2+ years of experience in modern C++ Solid understanding of data structures & algorithms Experience with low latency real-time development Good understanding of Linux system internals and networking If you're keen to find out more, don't More ❯

deployment frameworks. Deep knowledge and mastery of JavaScript, TypeScript and its internals. Deep knowledge of computer science including (but not limited to): Operating Systems, Algorithms, Concurrency and Data Structures. Salary wise they can pay up to £110,000 + some really exciting benefits. Please apply for immediate consideration More ❯

communication skills are a must Proficient with Excel and PowerPoint Highly organized and detail oriented Preferred Familiar with market micro-structures and common execution algorithms for listed products Experience navigating the Linux operating system More ❯

and analysis. • Data Bricks : Proficiency with Databricks platform for big data processing and analytics. • Machine Learning : Strong background in developing and deploying machine learning algorithms and models. • Python : Excellent coding skills in Python, particularly for data science and machine learning applications. This role is ideal for someone who thrives in More ❯

building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS More ❯