Physics, Computer Science, Engineering or similar subject. Strong quantitative skills with significant experience in equity derivatives modelling. Strong programming skills, including clear understanding of algorithms and data structures. Excellent written and verbal communication skills. High level of diligence and discipline. Comfortable managing multiple stakeholders, demonstrating initiative and showing commercial impact. More ❯
as Langchain. Proven expertise in CI/CD pipeline management within the Generative AI space, including LLMOps. Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Strong knowledge of generative AI techniques, including deep generative models, auto regressive models More ❯
Lead the design and implementation of various features into our products. You may be a fit if you have: Deep understanding of data structures, algorithms, and software design. A commitment to high-quality code, automated testing, and engineering best practices. Demonstrated experience working with complex, distributed backend systems and large More ❯
you'll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization More ❯
and support high quality and scalable products.* Help maintain and improve code quality, organization, and automatization* Create everything from mockups and UI components to algorithms and data structures as you deliver a complete minimally viable product More ❯
a primary focus Understanding the wider context of the business and designing system architectures that meet short and long term business goals Your skillset: Algorithms, data structures Strong technical knowledge in observability Web services, REST, HTTP Containers, cloud Testing, reliability, monitoring Strong knowledge in building and owning application end-to More ❯
Azure and Docker is a positive. An understanding of machine learning processes and their applications to investments. Ideally, they will be familiar with various algorithms (logistic regression, neural networks) and an understanding of how to implement these in Python. A passion for bringing together investment ideas in an organized framework More ❯
defects from component and feature integration to end-to-end customer interactions. We seek a QA engineer eager to work across software, hardware, cloud, algorithms, and computer vision to bring innovative products to market. As a QAE, you will enhance QA processes and develop repeatable, automated testing systems. Collaborating with More ❯
new SQL Server features such as Columnstore Indexes, In-Memory OLTP, Incremental statistics, Trace Flags, SQL CLR functions, window aggregate functions, and parallel computing algorithms to reduce the processing time of multi-billion row data sets. Contribute to the automation capabilities of the team. Implement techniques to optimize and routinize 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 ❯
like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like SQL and Pandas. Broad ML skillset and are More ❯
a number of products and services that sit on top of a common big-data analytics platform. They cover features like customizable risk scoring algorithms through reporting dashboards and API only user journeys. The products we make have an impact on thousands of people around the world and enable the More ❯
a commercial environment, with a proven track record of taking data-driven projects from inception to production. Deep understanding of supervised and unsupervised learning algorithms, model selection, hyperparameter tuning. Expert in advanced statistical concepts. Experience in collaborating with cross-functional teams both within engineering and the wider business. Fluent in More ❯
and modern frontend frameworks (e.g. React, Vue, or Next.js), along with experience in any modern backend language Strong foundation in computer science fundamentals, including algorithms, data structures, and concurrency Creative and analytical mindset, with the ability to develop innovative solutions for complex challenges Experience building user-friendly, product-centric technology 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 ❯
data pipelines and automating data workflows. Proficiency in SQL, particularly BigQuery SQL for querying and manipulating large datasets. Familiarity with machine learning (ML) concepts, algorithms (supervised/unsupervised learning), and ML tools. Experience with version control systems (e.g., Git). Strong expertise in Python, with a particular focus on libraries More ❯
exceptional and engaging digital experiences. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider More ❯
platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale More ❯
SQL and NoSQL databases: PostgreSQL, Couchbase, DynamoDB Event-driven architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via More ❯
and Snowflake. • Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. • Familiarity with AI/ML algorithms and model deployment in cloud environments. • Experience with version control tools (e.g., Git), and knowledge of Docker and containerization. • Strong communication and collaboration skills, with More ❯
london, south east england, United Kingdom Hybrid / WFH Options
KPMG UK
and Snowflake. • Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. • Familiarity with AI/ML algorithms and model deployment in cloud environments. • Experience with version control tools (e.g., Git), and knowledge of Docker and containerization. • Strong communication and collaboration skills, with More ❯
Out in Science, Technology, Engineering, and Mathematics
and Architecture Diagramming. Strong understanding of Computer Architecture and Peripherals. Strong understanding of Operating Systems, Concurrency and Networking concepts. Strong understanding of Data Structures, Algorithms and Object Oriented Design Patterns. Experience with Cellular LTE, 5G Modems is a plus. Experience with Battery and Power Management sub-systems, Safety and Thermal More ❯
is the 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 More ❯
Requirements: Excellent knowledge of core Java Strong understanding of algorithms and data structures Solid problem-solving skills Knowledge of Java and experience practicing clean coding Ability to write clear technical documentation Familiarity with JavaScript and Node.js (beneficial) Responsibilities: In this role, you will be part of a dynamic, intelligent, and More ❯
its processes. They are looking to hire a Tech Lead Algo Developer to join their Systematic Trading Department where you would help develop trading algorithms in Java frameworks, and containerize microservices in Kubernetes. Tech Stack: Java, Kubernetes, SQL, Python This firm operates on a hybrid model, and will offer the More ❯