Work on cutting-edge supervised and unsupervised natural language models in a low-latency, high-through environment.
Work with large-scale, multi-lingual natural language data across search engines, databases, and financial transactions.
As a Senior Machine Learning Engineer, you’ll be a significant contributor to the delivery of products in one of Tesco’s most strategic technology areas. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers.
As a Lead Machine Learning Engineer, you’ll be a significant contributor to the delivery of products in one of Tesco’s most strategic technology areas. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers.
We are looking for an ambitious individual with commercial experience working on computer vision solutions. A mix of statistics and machine learning skills are also welcome. A track record in modifying and designing advanced algorithms and applying them to large real-world data sets is fundamental.
We are looking for ambitious individuals with a mix of statistics, programming and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential.
We are looking for ambitious individuals with a mix of statistics, programming and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential.
This role will play a crucial role in coordinating and maintaining all automated processes within the firm. This includes providing first line technical support for a wide variety of technical applications and processes (e.g. database jobs, modelling tasks, reporting and analytics). The team member will work with developers, researchers, and portfolio managers to coordinate the implem
We are looking to hire savvy technologists across the experience spectrum with Java development skills and a keen interest in quantitative financial trading markets. Previous experience with almost any asset class will be an advantage. As an Execution Developer at Man, you will be building the tools, platforms and algorithms that enable Man’s investment engines.
As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. Our systems mostly run on Linux and are coded in Python.
As a Data Engineer in Alpha Technology you will be working in a team of experienced engineers delivering high performance data solutions to the business. Your customers will be the quant researchers and engineers who use data to drive systematic trading models and execution algorithms. The role entails, building technology that make it easy to store, map, access and visualise data at TB scale.
As a Data Science Analyst at Man, you will use your specific and general skills to support the quantitative research and portfolio management teams and contribute to high quality alpha trading models. On some projects you will act as a subject matter expert, providing support and delivering high quality exploratory data analysis and insights.
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams.
Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. As a Data Development Manager you can expect to provide people and technical leadership within your team to support the mission of the Data Platform Engineering group, and more.
We are looking for an experienced business intelligence analyst that is passionate about metrics and telling the stories behind the data. We have several roles open across different teams (grocery, loyalty, restaurants) and levels of seniority.
In this role, you will be designing and building the algorithmic and machine-learning systems that power Deliveroo. You will be working in a cross-functional team alongside engineers, data scientists specialized in analytics and inference, and product managers to develop systems that make automated decisions at massive scale.
Experimenting at this scale presents some unique challenges and we’re investing heavily in building a world-class platform for designing, deploying, and analysing product experiments. We’re looking for experts in statistical inference and estimation to join our growing team of data scientists and help us develop innovative statistical solutions for industrial-scale experimentation.
As an Economist in the Data Science organisation at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like: Which markets should we enter next? How can we incentivise good rider behaviour? What is the business impact of exclusive deals we have with restaurants?
Deliveroo is a company driven by ML models and developing a ML platform will help us improve the productivity of our ML engineers and Data Scientists. Some of the key areas we intend to focus on include large scale feature management, model training and serving, pipeline orchestration, notebook environments, data processing, observability and ML experiment management.
Quantitative Research acts as the foundation upon which Optiver’s trading activities are built. Our research teams utilise scientific approaches to research and design our world-class trading algorithms. Our Researchers believe in academic discourse, and invite others to challenge each hypothesis. Testing, analysis, refinement and innovation ensure our quantitative models remain at the cutting-edge of constantly evolving capital markets
As an experienced Data Engineer, your observations and recommendations will be highly valued, and trusted to inform crucial trading decisions, including identifying new trading opportunities. With an established track record in ETL pipelining, data warehousing and BI, you will be a key player in scaling up our market activities, whose impact can be felt in real time.
Description: Data Scientists at Optiver apply their statistics and analytics skills to develop and improve our trading strategies. It’s a fascinating role that requires strong a coding background and problem-solving skills.
There are different teams in the Infrastructure Department working to create a robust and reliable foundation for Optiver’s core business. The UNIX team in particular manages all Linux servers and turns to automation to provide the best possible experience for our Operational and Developer Teams.