101 to 125 of 532 Permanent Algorithms Jobs in London

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 ❯

Machine Learning Engineer – Wearable Health Algorithms Join to apply for the Machine Learning Engineer – Wearable Health Algorithms role at all.health Machine Learning Engineer – Wearable Health Algorithms 1 week ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer – Wearable Health Algorithms role at all.health all.health is at the forefront of revolutionizing healthcare for millions of … looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You’ll play a key role in building real-time, FDA-compliant algorithms that analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready … conditions. These ranges may be modified in the future. Responsibilities Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer) Develop algorithms that meet clinical-grade performance standards for use in regulated environments Preprocess and manage large-scale, continuous time-series datasets from wearable sensors.Collaborate with clinical, product, and regulatory teams to More ❯

that leverage machine learning to deliver value to patients and healthcare professionals. With a strong focus on scalability and performance, you will help bridge the gap between cutting-edge algorithms and real-world applications in a fast-paced, startup environment - driving our mission of saving lives. Key Responsibilities: Ownership of Machine Learning Infrastructure: Develop, deploy, and maintain scalable pipelines for … Building and Deploying ML-Driven Products: Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products. Translate complex machine learning algorithms into user-facing features and services. Work with key stakeholders to ensure alignment between technical implementation and product goals. Define and develop APIs for seamless integration of ML models with More ❯

Quantitative Developer - Trading Algorithms Job Function Summary The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm’s trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis. We are seeking a highly driven, results-oriented Senior Quantitative Developer with a strong background … in building trading algorithms and a deep understanding of market microstructure and execution strategies to build a greenfield internal algorithmic trading platform. This role requires a combination of technical expertise, industry knowledge, and leadership skills to develop and optimize trading algorithms tailored to the businesses’ trading objectives. Principal Responsibilities Algorithm Development: Developing custom trading algorithms with tailored execution outcomes that More ❯

data scientists to help us better understand our merchants and buyers so we can help them on their journey. This role is focused on building the next generation Search algorithms, incorporating the newest ML techniques. You may also work on projects involving LLM-based work. You will also create the architecture for bigger projects and mentor senior data scientists to More ❯

is perfect for a recent PhD graduate or an individual with a few years of industry experience in computer vision. In this role, you will be instrumental in designing algorithms to improve the accuracy and efficiency of cancer detection using video data. You will collaborate with a multidisciplinary team and contribute to the advancement of medical technology. Key Responsibilities: Develop … and implement cutting-edge machine learning algorithms for detecting images and videos. Work closely with researchers, engineers, and medical professionals to translate research findings into practical applications. (team of 20 other researchers). Conduct experiments to validate and enhance the performance of computer vision models. Stay current with the latest advancements in machine learning and computer vision, applying this knowledge More ❯

Machine Learning Scientists and Engineers: AI for Quantum Join to apply for the Machine Learning Scientists and Engineers: AI for Quantum role at Quantinuum Quantinuum is building a new AI team, currently comprising 14 employees, and is talent pooling for More ❯

Social network you want to login/join with: Machine Learning Research Engineer, London Location: London, United Kingdom Job Category: Internet EU work permit required: Yes Job Reference: AF-36 Job Views: 1 Posted: 19.05.2025 Expiry Date: 03.07.2025 Job Description 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 ❯

Talent Pool Registration At Quantinuum, we have formed a new team to implement our AI strategy. This team currently consists of 14 employees. We are now talent pooling for future positions in this team. Please register your interest, and we 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 ❯

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped More ❯

to engineer high-quality software Appreciation of architecture and engineering best practices Experience of end-to-end ownership of solutions, from articulation through to delivery Good understanding of fundamental algorithms and data structures An interest in quantitative finance and an understanding of the role engineering plays within the space The ability to prioritise, plan and deliver to demonstrably drive business More ❯

d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment. Strong skills in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Experience building products with More ❯

of thousands of active users. 3+ years experience in a similar role Demonstrable experience in cloud (ideally AWS) Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Benefits: Private health insurance Regular salary reviews More ❯

engineers, providing technical guidance, coaching, and fostering their growth Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements More ❯

will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing … Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research initiatives in anomaly detection, contributing to the authorship of research papers and presenting at relevant conferences. Data Analysis: Perform extensive data analysis and preprocessing to uncover patterns and improve detection accuracy. Collaboration: Work with cross More ❯

on knowledge representation and how it can serve to build AI systems capable of such complex reasoning. You will work on formulating research problems that explore how Reinforcement Learning algorithms can interact with large and complex knowledge graphs to reason over ambiguous tasks. To do this, you will develop knowledge graph machine learning techniques that will power several tools within … critical to representing web-scale, structured information in a compact format for a reinforcement learning agent, ensuring scalability. You will lead the efforts on training and validating graph embedding algorithms that capture multi-hop semantics within large web-scale knowledge graphs. Additionally, you will develop link prediction models that will enhance both the reasoning over the knowledge graph and recommendations. … state-of-the-art in graph machine learning, with a focus on learning graph embeddings and link prediction problems. You have experience in training and tuning various graph ML algorithms including GNNs, Message Passing and Graph Transformers. Experience in building graph-based recommendation systems is a plus. You have 5+ years of programming experience in Python and have development experience More ❯

d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with More ❯

data science . You’ll join a cross-functional squad (engineering, ops, analytics, and DS) working on complex challenges in first, middle, and last-mile delivery. From designing smarter algorithms to unlocking efficiency across the network, your work will directly impact cost, sustainability, and speed at scale. 🔍 What You’ll Be Doing Designing, testing, and deploying optimisation algorithms to improve … Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data, routing, scheduling , or network optimisation Comfort developing custom algorithms or heuristics Exposure to machine learning techniques Experience in logistics, marketplaces, mobility, or similarly complex environments 🎁 What’s on Offer Generous equity stake 25 days holiday + bank holidays Excellent More ❯

data science . You’ll join a cross-functional squad (engineering, ops, analytics, and DS) working on complex challenges in first, middle, and last-mile delivery. From designing smarter algorithms to unlocking efficiency across the network, your work will directly impact cost, sustainability, and speed at scale. 🔍 What You’ll Be Doing Designing, testing, and deploying optimisation algorithms to improve … Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data, routing, scheduling , or network optimisation Comfort developing custom algorithms or heuristics Exposure to machine learning techniques Experience in logistics, marketplaces, mobility, or similarly complex environments 🎁 What’s on Offer Generous equity stake 25 days holiday + bank holidays Excellent More ❯

You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

company is a world leading investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This firm has established a world class global research team and combines an academic yet scientific approach with an emphasis on scalability and risk More ❯

company is a world leading investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This firm has established a world class global research team and combines an academic yet scientific approach with an emphasis on scalability and risk More ❯