data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯
integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal More ❯
track record as a CTO, Technical Director, or in a comparable senior leadership role within a technology-driven organization Deep expertise in blockchain technologies, ideally staking mechanisms and consensus algorithms Background in on-premise infrastructure design, implementation, and management, with expert knowledge of data center technologies, virtualization, server hardware, and networking Expertise in data engineering, including the design and deployment More ❯
WE EXIST TO IMPROVE THE PERFORMANCE OF ATHLETES AND TEAMS Our mission is to improve the performance of athletes and teams, which we do by engineering the premier technology platforms for sport. We've been at the forefront of sports More ❯
The multi-Oscar-winning creative Film & Episodic Studio at Framestore has worked with some of the greatest storytellers in film today. Collaborating with directors and producers across the complete filmmaking process to help design, plan and create beautiful images, we More ❯
and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of … and Stablecoin business units WHAT YOU'LL DO: Research, design, and backtest systematic trading strategies and alpha signals across multiple asset classes, ensuring statistical rigor. Develop and optimize execution algorithms (e.g., VWAP, TWAP, Participation) and Smart Order Routing (SOR) logic to minimize market impact. Contribute to the evolution of trading infrastructure, including Execution and Order Management Systems (EMS/OMS … expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of More ❯
working with C++ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms Excellent communication skills, comfortable interacting with business teams Knowledge of market data systems Experience building feed handlers or working directly with exchange APIs We'd love to see: Experience developing More ❯
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 … USA-SF, USA-remote, UK-London, UK-remote 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 ensure solutions align with FDA, SaMD, and GMLP requirements. Optimize algorithms for deployment on resource-constrained devices (e.g., edge, mobile, embedded systems). Run thorough validation experiments including performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical More ❯
business impact and observability as a primary focus Understanding the wider context of the business and designing system architectures that meet short and long term business goals Your skillset: Algorithms, data structures Strong technical knowledge in observability Web services, REST, HTTP Containers, cloud Testing, reliability, monitoring Strong knowledge in building and owning application end-to-end, from inception to maintenance More ❯
alongside a multidisciplinary team of scientists, modellers, and software engineers who collaborate closely with our product owners and customers to take modelling to the next level. Developing and implementing algorithms which result in plausible modelling behaviour Building pipelines to extract, synthesise and integrate data from various sources, making it available to simulation engines and user interfaces Building tooling that enables More ❯
innovation in the field. Who You Are You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in bandit algorithms, LLMs, general neural networks, and/or other methods relevant to recommendation systems. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or More ❯
even footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯
We make it, store it, move it, sell it, and mend it. About the role: The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing More ❯
detection algorithms. The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting. Responsibilities: Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's … mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data Main Skills/Competencies: Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry 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 ❯
pivotal part in the buildout and scale-up of our new HFT platform built in Rust. Your mission will be to work on (and not limited to): Develop trading algorithms: Create and improve algorithms for trading, including those for low-latency, high-frequency trading. Build front-office systems: Create systems for algorithmic trading, including data, risk, live trading, and post 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 ❯
scientists in a heavily cross-functional environment. Required Exceptional coding ability in at least one of our core languages: Java/Kotlin or Python. Previous experience working with complex algorithms and data structures. Experience in building well-tested code for production and a demonstrable history of advocating for software quality and evangelising best practices. Experience with leading the process from More ❯
can best support you! We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated builds and deployments, working … Proactively share ideas with colleagues and accept suggestions Ability to work on multiple data science projects and manage deliverables Qualifications Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc. … and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing; probability distributions; sampling techniques; and stochastic processes Core 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 ❯
ideas, and creativity to help take us to new heights. The solutions we're building are demanding. Collaborating with teams across Amazon and world leading universities we create novel algorithms to automate workflows and innovate on behalf of our studios customers. This requires the use of the latest technologies across foundational models, transformer based architectures, image processing, image analysis, computer … vision and machine learning. We need to optimise those algorithms to run accurately and efficiently. The scope of our charter means we're also utilising techniques such as contextual understanding and correction, to ensure the highest levels of video quality for our customers. The range of problems we have to solve in our space, and the enormous potential to positively … and develop their skills. Key job responsibilities You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also contribute to publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to More ❯
of applications. As a Senior Engineer, you will be responsible for our AWS, Web and Desktop tech stack. This includes: Our AWS cloud (Dynamo DB, Lambda ) Various scripts and algorithms (Python) Our Microsoft Desktop App (Python) Our ASP.Net web app (.Net, C#, JS, Azure) You will interact heavily with our wider team of mobile software engineers, physicists and mathematicians who More ❯
accuracy and efficiency in their search queries and data retrieval processes, leveraging the capabilities of the Elastic Observability stack. Unlock the potential of vector search: Implement powerful vector search algorithms and create high-dimensional vector representations of data, allowing users to find the information they need even with imprecise queries. Deliver compelling proof-of-concept (POC) projects: Showcase the combined More ❯
science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited … to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science More ❯
Title: Senior Engineer, Creative Optimizations WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled More ❯
