7 Machine Learning Developer jobs

End Date Thursday 19 December 2024 Salary Range £68,202 - £75,780 We support flexible working – click here for more information on flexible working options Flexible Working Options Job Share Job Description Summary * Job Description JOB TITLE:  Machine Learning Engineer SALARY:  The salary banding for this role is £68,000pa to £83,300pa plus the benefits listed below. LOCATION:  Manchester HOURS:  35 hours, full time WORKING PATTERN:  Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Manchester site. Here at Lloyds Banking Group, we put our customers at the heart of everything we do, and every colleague has an important part to play.  This role is in the Smarter Journeys Lab, an integral part of the amazing Colleague Channels Platform.  The mission of this Lab is to innovate and enhance customer journeys and drive growth through cutting-edge solutions. The Lab's diverse product...

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Scientist Adyen is looking for a Senior Machine Learning Scientist to join our team in Amsterdam, a person sitting at the cornerstone of algorithms, mathematics, and engineering, who can solve problems by designing and implementing production-ready machine learning solutions. You will be...

The Plaid Machine Learning Infrastructure (ML Infra) team is responsible for creating and maintaining the foundational systems, tools, and processes that enable efficient, scalable, reliable, responsible and secure machine learning workflows for Plaid ML practitioners. The core ML Infra components and responsibility covering core areas but not limited to these: 1. Feature Store Development: Developing a robust and efficient Feature Store platform customized for Plaid use cases to streamline feature engineering for both batch and real-time streaming features.  2. Model Serving and Deployment: Developing and maintaining infrastructure and tools for deploying models into production with observability and low latency.  3. Data Exploration and Experimentation: Using both vendor-based solutions, like Sagemaker Notebook and in-house/open-source solutions, like ML-Flow and Trino, to support early model experimentation, model version monitoring, and tracking  4. ML Data...

Flow Traders is looking for a Machine Learning Engineer to join us in our Amsterdam office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.  As a Machine Learning Engineer, you will be responsible for helping to lead the development of our trading model research framework and its integration with our platform for deploying/running those models in production. You'll be responsible for expanding the current (limited) scope of the framework and platform to become the global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way.   What you will do Lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.),...

Flow Traders is looking for a Machine Learning Engineer to join us in our London office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.  As a Machine Learning Engineer, you will be responsible for helping to lead the development of our trading model research framework and its integration with our platform for deploying/running those models in production. You'll be responsible for expanding the current (limited) scope of the framework and platform to become the global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way.   What you will do Lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as...

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The Payment Risk team is responsible for developing a suite of risk products for Plaid’s customers to manage risk in bank payments. This team delivers sophisticated risk predictions as well as direct...

Optiver is seeking Machine Learning Researchers to join our futures trading team, also known as Delta One. We’re looking for someone to create and improve machine-learning models, conduct signal/alpha research, and deliver improved predictions from which to run trading strategies. You’d work on a close-knit team that applies quantitative expertise and scientific training to solve tough, interdisciplinary problems. Our Delta One team is comprised of researchers (like yourself), traders and software engineers. They work in a collaborative environment to design, improve, and execute trading strategies using a machine learning approach. We take pride in seeing the real-time impact of solutions and our quick feedback loop allows us to innovate rapidly in an ever-changing market. What you’ll need: PhD required in computer science, statistics, data science, mathematics, physics, machine learning or a related STEM field Experience using Python, R, Matlab, or other analytical...