126 to 150 of 425 Algorithms Jobs in England

hardware. Specialised hardware has been a key driver of AI progress over the last decade, and we believe that hardware‐aware AI algorithms and AI‐aware hardware developments will continue to be critical to advancing this field. We are looking for researchers and engineers with the theoretical depth, practical judgement ...

monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to-end exposure in model ...

integrate data science models seamlessly into our tech stack. Experimentation & Insights Design and execute rigorous A/B tests to validate new features, algorithms, and product iterations. Apply advanced statistical and probability theory to evaluate model performance and user behavior. Utilise our extensive data infrastructure to uncover insights that drive ...

dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists ...

rich, complex academic environment driven by real-world problems. Foundational Research We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking ...

Strong experience with AWS and Kubernetes. Strong Terraform experience. Good knowledge of AI and LLM's Good infrastructure as code experience. Experience of common algorithms and data structures. What you'll get in return : Initial 6-month contract with extensions. Up to £650pd in scope. London-based hybrid working. What ...

moving environment. What They're Looking For Strong commercial Java development experience Experience building large, complex backend systems Strong understanding of data structures and algorithms Experience with multithreaded programming A passion for clean, maintainable code and software quality Strong communication and collaboration skills Engineering Culture The engineering team places ...

TypeScript and React for front-end development. Familiarity with backend development languages such as Java, Python or Go. Solid understanding of software development principles, algorithms and data structures. Experience with Docker for containerization and deployment. Knowledge of DevOps processes, including CI/CD pipelines and automated testing frameworks. ...

object-oriented programming language (technology agnostic), with low-latency, distributed systems or performance-critical development experience preferred Deep understanding of data structures, algorithms, operating systems, networking and computer architecture Experience designing scalable, high-throughput systems and diagnosing performance bottlenecks Naturally curious problem solver with the ability to thrive in fast ...

systems Solid understanding of concurrency, parallelism, and systems‐level programming Experience designing services for high throughput and low latency Strong fundamentals in data structures, algorithms, and system design Excellent problem‐solving and communication skills Background in financial systems, trading, or real‐time platforms is advantageous but not essential What ...

right What you'd need: Strong C# and TypeScript, plus comfort with Docker, GitLab and the npm ecosystem Solid CS fundamentals, OOP, algorithms, design patterns C++ or Linux sysadmin experience is a bonus, not a requirement Worth knowing upfront: you'll need British citizenship (or dual UK nationality with British ...

quantitative research methodologies. Requirements • Technical Skills: Strong programming skills in C#/.NET with a solid grasp of computer science fundamentals (data structures, algorithms, and design patterns). • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related quantitative field. • Mindset: An analytical mindset with ...

data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good ...

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 ...

experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master ...

with strong problem-solving and analytical thinking Experience with high-volume transactional or payment systems in regulated, security-conscious environments Solid foundation in mathematics, algorithms, and complex problem-solving Working Benefits Salary up to £90,000 Annual pay reviews/increases 25 days Holidays plus Bank Holidays Flexible working hours ...

fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient solutions. Research, develop, and champion ...

product’s capabilities are ahead of competitors in the market. Responsibilities Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

/or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.) Experience productionising machine learning algorithms Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates etc.) Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik etc.) Benefits Along with ...

years of relevant front‐office or closely adjacent experience. Deep domain expertise in equities electronic execution, including hands‐on familiarity with DMA products, execution algorithms, Smart Order Routing, dark pool access, and exchange co‐location infrastructure across major EMEA venues. Strong technical proficiency, with practical experience using Q/kdb+ ...

improvement Creating systems which provide in-depth insight to investigators on red flags and typologies present on profiles/transactions Deployment and Implementation Packaging algorithms into deployable libraries/objects and transitioning them from staging to production environments Implementing and maintaining scheduled processes for data gathering and model retraining using ...

delivered working hardware in a real-world context. BONUS/NICE-TO-HAVE • Experience with RTLS or asset tracking solutions. • Familiarity with sensor fusion algorithms (Kalman filtering, particle filters, etc.). • Knowledge of LPWAN technologies (LoRa, NB-IoT) or mesh networking protocols. • Experience with Linux-based embedded platforms (e.g. Raspberry ...

policies, and governance frameworks. Provide technical guidance and mentorship on ML implementation across cross-functional teams. Data Science and Analytics Use and design of algorithms is expected from the data scientist, to extract meaningful, actionable insight from a variety of datasets. The data scientist should take the initiative to develop ...

therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working ...

intended-use-aligned performance specifications for each workstream, providing input to Regulatory Affairs and Medical Affairs on validation design. Iteratively optimise prototype analysis algorithms, data models and pre-processing pipelines, to research-grade reproducibility standards, and partner with the Analysis Products team on transition of mature methods into the productisation ...