76 to 100 of 174 Algorithms Jobs in London

Python preferred Excellent background in computational mathematics, numerical analysis, or a related quantitative discipline Demonstrated ability to design, implement, and optimise complex mathematical algorithms for performance‐critical applications Solid understanding of Adjoint Algorithmic Differentiation (AAD) concepts; hands‐on experience with AAD tools is highly desirable Deep practical knowledge ...

have the opportunity to manage the complex challenges of scale which are unique to the company Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together ...

product’s capabilities are ahead of competitors in the market. Responsibilities Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

full lifecycle of solutions, from early-stage research and experimentation through to production deployment and ongoing optimisation. Who You Are Experienced with algorithms, data structures, and architecture. Deeply proficient with performance, distributed systems, concurrency, and large-scale computing. A clear communicator who collaborates and builds strong relationships across the business. ...

experience, including argparse or Click, config validation, subcommands, and clear error handling* Docker, CI, automated testing, and reproducible environments* Strong software engineering fundamentals, including algorithms, data structures, networking, memory, IPC, and systems-level thinking* Experience with high-throughput data pipelines, distributed systems, or performance-sensitive IO workloads* Experience orchestrating external ...

high‐impact use of machine learning. What you’ll be doing Working as part of an agile, cross‐functional team to build and improve algorithms used in areas such as pricing and customer targeting Collaborating with scientists and engineers to implement and deploy machine learning solutions at scale, supporting hundreds ...

years of experience in system architecture design, preferably in robotics or complex embedded systems. Strong knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems. Proficiency in hardware-software co-design, real-time computing, and middleware frameworks Experience with AI/ML integration, sensor fusion, and autonomous ...

Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations ...

work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low‐level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale ...

patterns — tool-use, RAG, function calling — and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists ...

implement behaviour and decision-making logic for simulated entities - pedestrians, vehicles, shipping, aircraft - in our C++ simulation engine. Integrate third-party simulation libraries and algorithms, maintaining enough intuition for their internals to combine them into a coherent system. Shape how simulation state and behaviour are partitioned across our distribution framework ...

learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries … frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Stress testing, performing statistical analysis, and interpreting test results for all market conditions. Documenting machine learning processes. Keeping abreast of developments in machine learning. Requirements Bachelor's degree in computer science, data science, mathematics ...

Rates – Vice President to design and deliver production systems for systematic trading. You'll work closely with researchers and traders to implement resilient, performant algorithms and enhance execution platforms. The ideal candidate will hold a Bachelor's or Master's degree in a quantitative field and have strong programming skills ...

ideal candidate will have a Master's or PhD in a relevant field and proficiency in Python and deep learning libraries. Responsibilities include researching algorithms, developing ML infrastructure, and integrating AI with networking solutions. This position offers exposure to innovative projects and a competitive compensation package, along with a flexible ...

company in the UK is looking for a Machine Learning Engineer specializing in Video Quality Analysis. In this role, you will design and implement algorithms to detect defects in video quality using advanced computer vision and machine learning techniques. The position emphasizes optimizing solutions for efficiency and reliability in near ...

deployed in real-world products. Key Responsibilities Lead development of robotic arm control systems , including kinematics, dynamics, and trajectory planning Build and optimise manipulation algorithms for grasping, handling, and interaction tasks Integrate perception systems (vision, depth, tactile) with manipulation pipelines Work on motion planning , collision avoidance, and safe operation ...

engineers to identify bottlenecks and propose novel solutions for improved GPU performance Developing studies to understand and quantify the performance benefit of features and algorithms implemented in hardware and software Developing tools to aid in the efficient measurement, communication and improvement of GPU performance. Minimum Qualifications Architecture knowledge ...

cross-platform SDK Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms Ship cloud functions, lightweight backend services, and jobs using Kotlin An Ideal Candidate Should Have Systems thinking. You know that optimizing a system requires ...

high‐quality, well‐engineered software with strong architectural awareness Take end‐to‐end ownership of solutions, from concept to delivery Demonstrate solid knowledge of algorithms, data structures, and software fundamentals Show interest in quantitative finance and the role of engineering within it Prioritise effectively to deliver measurable business impact Proactively ...

Cambridge, Oxford, and UCL PhDs building the future of AI-powered patent technology. As an early engineer, you will push the boundaries of LLM algorithms and agents for a platform seeing 20-30% month-over-month growth. You’ll solve high-intensity technical challenges while shipping production systems to 400+ ...

improved running engine features to generate personalised, adaptive training plans for many thousands of active users Consistently experiment to improve the engine with new algorithms and optimisations Collaborate with coaches to best deliver their expertise to users Use a data-led approach to influence algorithms Designing and implementing tests … you. Your key skills: Strong Python (object-orientated) programming, with experience writing production-quality code in large Python projects Designing and implementing complex algorithms (e.g. how should I schedule exercises in someone’s week) Able to understand and apply complex numerical concepts e.g. such as in an analytical degree (Computer ...

applying AI and algorithms to real-world signals/comms, sensor fusion London, hybrid working to £58k plus benefits This senior position has a three-year term with a leading research institution and has strong Data Science elements. As a PhD-qualified scientist with further research or commercial experience ...

Quantitative Developer to enhance market surveillance products. The successful candidate will engineer high-quality software while employing exceptional mathematical skills. This role entails developing algorithms for TradingHub’s offerings, alongside responsibilities in model research and validation. Competitive compensation and a hybrid working model are offered, supporting your career in financial ...

skilled Machine Learning Engineer to join their Reinforcement Learning Team. This role focuses on advancing AI through original research and developing cutting-edge algorithms that combine scientific and applied innovation. Candidates should have a strong academic background in Computer Science, expertise in reinforcement learning or Bayesian optimisation, and proficiency ...

London. You will work on a global derivatives algorithmic trading platform, closely collaborating with quants and traders. Your responsibility includes implementing and optimizing trading algorithms, ensuring exchange connectivity, and tackling production issues. The ideal candidate has over 5 years of experience in C++ software development within the financial sector ...