13 of 13 Permanent Algorithms Jobs in South London

art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWS Research, prototype, and implement state-of-the-art machine learning algorithms Design and implement custom loss functions, evaluation metrics, and training procedures Contribute to model selection, architecture design, and technology stack Evaluate model performance Drive innovation initiatives and proof-of-concept More ❯

Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time More ❯

of trading and technology, designing and implementing high-performance models that underpin core pricing and risk functions. Role Overview: You will play a critical role in developing models and algorithms for the pricing of derivative instruments, with a focus on FX or fixed income products. Your work will directly support trading, structuring, and risk management efforts across global markets. Key … Responsibilities: Develop and implement pricing models for derivatives. Collaborate with traders, quants, and technologists to improve pricing accuracy and performance. Design and test numerical algorithms and pricing engines. Build analytical tools and contribute to the development of internal quant libraries. Maintain and improve existing models in response to market conditions and regulatory changes. Required Skills & Experience: 2–5 years' experience More ❯

contributor to our research team, supporting the technical lead in driving technical excellence and innovation. You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. You will perform a central role in a highly collaborative and fast-moving environment where innovation and creativity are encouraged. What you'll be More ❯

us in our journey to scale end-to-end neural networks for autonomous driving. Youll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems More ❯

reverse image search , image-text matching , and online content analysis . Collaborate with cross-functional teams to improve product and system performance. Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions. Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation. … experience. Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras . Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis . Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong More ❯

is the Recursion OS, a platform built across diverse technologies that continuously generate 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 — up to millions of wet More ❯

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship More ❯

About PriceBeam PriceBeam is working at the cutting edge of automated, cloud-based market insights about Customers and Shoppers. Using sophisticated algorithms, we help our clients understand what their shoppers are willing to pay for brands, products, and features - and thus, in turn, show them how to optimize their prices and promotions. Our solution employs large-scale simulation algorithms and More ❯

of machine learning and when they should be applied You can translate an unstructured business problem into a well-thought-out algorithmic solution You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business You have a bias to simplicity, where you care most about achieving impact The Company Our mission is to be the definitive More ❯

/knowledge. Responsibilities: Lower deep learning graphs—from common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for training—with particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. Ownership of two of the following compiler areas: Front-end - handle the handshaking of common Deep Learning Frameworks with More ❯

infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology. Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability. Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes Refactor and scale prototype research … of-the-art machine learning methodologies and proven experience in translating them into practical solutions. Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency. Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilization. Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing. Deep expertise in modern ML frameworks and More ❯

of seniority, including mid-level, Senior and Staff. Ideal candidates will: Have experience line-managing machine learning engineers and guiding their career development. Have built and deployed machine learning algorithms to production within product teams. Provide technical guidance and input on the design and implementation of machine learning algorithms. Have experience working with cross-functional teams and managing stakeholders throughout More ❯