to plan releases, manage dependencies, and ensure timely delivery of high-quality solutions. Research & Innovation Emerging Trends: Keep abreast of new streaming protocols, compression algorithms, and AWS service enhancements. Proof-of-Concepts: Lead or participate in POCs to test and validate cutting-edge technologies. Continuous Improvement: Suggest architectural and workflow More ❯
for a team of four, you will integrate large-scale data preprocessing with machine learning, transparent integration, and the use of data structures and algorithms, enabling training models leveraging a distributed in-memory machine learning platform. Areas to cover will include analytics engines for large-scale data processing. You will … demonstrate model training together with hyper-parameter tuning (Random Grid-Search with time constraint) of various algorithms using AutoML-training meta model combining different algorithms. You will demonstrate target encoding by using Bullisher API documentation, the dashboard, analytics, configuration, and application health. We are a startup enhancing the formation to … a branch deployment, and design, deploy, and operate a full-stack system. Areas to improve will include replacing existing workflows with advanced machine learning algorithms, including NLP and ensemble methods using powerful data munging, ML pipelines with advanced algorithms fully deployed for speed and accuracy with graphical user interface (GUI More ❯
trading operations. About the Role: As a Graduate Software Engineer, you will be part of a dynamic team developing high-performance trading systems and algorithms that operate in real-time markets. You’ll work in a fast-paced, collaborative environment, building scalable, low-latency solutions that maximize trading efficiency. You … optimize, and maintain HFT systems with a focus on performance, scalability, and reliability. Collaborate with traders to translate their strategies into technical solutions. Implement algorithms and software solutions that interact with real-time financial data and trading environments. Participate in the end-to-end development process, including system design, coding … of an internship in trading or experience in a trading environment. Strong programming skills in languages such as C++, Python, or Java. Understanding of algorithms, data structures, and distributed systems. Ability to solve complex problems with a high degree of technical proficiency. Passion for finance, trading, and working in a More ❯
trading operations. About the Role: As a Graduate Software Engineer, you will be part of a dynamic team developing high-performance trading systems and algorithms that operate in real-time markets. You’ll work in a fast-paced, collaborative environment, building scalable, low-latency solutions that maximize trading efficiency. You … optimize, and maintain HFT systems with a focus on performance, scalability, and reliability. Collaborate with traders to translate their strategies into technical solutions. Implement algorithms and software solutions that interact with real-time financial data and trading environments. Participate in the end-to-end development process, including system design, coding … of an internship in trading or experience in a trading environment. Strong programming skills in languages such as C++, Python, or Java. Understanding of algorithms, data structures, and distributed systems. Ability to solve complex problems with a high degree of technical proficiency. Passion for finance, trading, and working in a More ❯
problems. Support pre-sales efforts and assist engineering teams in deploying production-ready machine learning solutions. Evaluate hypotheses and the impact of machine learning algorithms on key business metrics, including offline and online experiments (A/B testing). Research user behavior patterns, such as engagement and segmentation, using machine … Engineering, Applied Math, Statistics, Physics, or related quantitative fields. Proficiency in English, both oral and written. Ability to understand and implement mathematical models and algorithms from research papers. Experience exploring large datasets to formulate questions and derive insights. Ability to deliver small, visible progress updates to the team. Proficiency in … Python or R, SQL, and relevant frameworks for machine learning, data visualization, and deployment. Experience with feature engineering and machine learning algorithms for Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Experience with Natural Language Processing (NLP and NLU). Experience with Generative AI systems (e.g., ChatGPT) and prompt More ❯
AI Innovation Center Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. … customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI and other techniques … relevant work experience. 5+ years of hands on experience with Python to build, train, and evaluate models. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience with design, development, and optimization of generative AI solutions More ❯
Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement … customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques … responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver More ❯
Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like … opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with multiple cross-functional teams. Key job responsibilities Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of … at top-tier peer-reviewed conferences or journals. Experience programming in Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience in building machine learning models for business application. PREFERRED More ❯
F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business … customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other … solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of More ❯
lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement advanced machine learning algorithms for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model … containerized applications using Kubernetes. Code Review and Documentation Conduct code reviews to ensure high-quality, scalable, and maintainable code Create comprehensive documentation for developed algorithms and models Collaboration Collaborate with our cross-functional team; including the founders, sales, data scientists, engineers, and product to understand business requirements and implement effective … field. 5+ years of professional experience in a relevant area like fraud prevention or credit scoring Machine Learning Expertise: Strong understanding of machine learning algorithms and their practical applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks More ❯
art solutions for never-before-solved problems. Key job responsibilities Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams … and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Knowledge of More ❯
The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. … environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic More ❯
or a related field (or equivalent practical experience). 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python … and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. A passion for solving problems with data and machine learning, always More ❯
an advantage but is not essential. Role & Responsibilities Data Analysis and Insight Generation • Model Development: Design, build, and deploy machine learning models and statistical algorithms to predict outcomes and optimise care delivery. • Trend Analysis: Conduct exploratory data analysis to identify patterns and trends that drive key business decisions. • Predictive Analytics … improving operations. • Optimise Care Outcomes: Identify opportunities to leverage data science for enhancing resident satisfaction, workforce utilisation, and care quality. • Process Automation: Develop intelligent algorithms to automate routine decision-making and analysis tasks. Platform and Data Utilisation • Data Preparation: Use Microsoft Fabric and other tools to extract, clean, and transform More ❯
Data Scientist - Marketing/Customer Analytics London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data More ❯
Why SoftwareOne? Here at SoftwareOne, we give you the flexibility to unleash your creativity, without limits. We encourage autonomy and thinking outside the box - and we can't wait to hear your new ideas. Although all businesses say it, we More ❯
at the heart of an ambitious, customer-obsessed, world-leading technology company. This is a senior role to build customer facing recommendation/ranking algorithms within the Customer department. This specific role focuses on the Partner recommendations product . It would suit someone who is passionate about solving customer problems … and loves working with data, who has extensive experience working with engineering and data science on ML challenges and is eager for more. Algorithms are used to match customers to the right supply, guiding them to partners that will deliver a great experience and food they will love. They are More ❯
business units. Analyze and extract relevant information from large amounts of business data and translate learnings from data insights into system concepts and computer algorithms that form core analytic products. Serve as a primary person to consult on complex issues and contribute key ideas. Input into scope of new algorithm … development; including design of algorithms and building of models and software to optimize key business metrics; analyze the performance of individual algorithms and collections of multiple algorithms; and develop techniques for monitoring and visualizing the performance of all deployed algorithms. Assist in conducting proof-of-concept studies for early stage … industry experience in distributed computing (e.g., MapReduce, Hadoop, AWS, DHTs, etc.); industry experience working with very large datasets; familiarity with parallel programming or parallel algorithms development; familiarity with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; demonstrated More ❯
t have to be this way. So we're building a missing piece of global infrastructure: a secure network to enable organisations to send algorithms to data. This means they can share the benefits of their data with each other, without having to go through the painful and risky process More ❯
work together with a more senior member of the team on projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing … timeseries, tabular, etc.). Develop computer models and perform predictive and prescriptive analytics for various applications. Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support. Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka … REST APIs, etc.). Tune algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master More ❯
Acceleration The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key Job Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate … environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. BASIC … QUALIFICATIONS Experience building machine learning models or developing algorithms for business application. PhD, or a Master's degree and experience in CS, CE, ML or related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and data More ❯
and implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that … of C++ and Python-based models used in various equity strategies. Work closely with research teams to continuously enhance trading models and translate complex algorithms into efficient, production-ready code. Skillset Requirements: Proven experience in a quantitative development or software engineering role within a cash equities trading environment. Expertise in More ❯
and implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that … of C++ and Python-based models used in various equity strategies. Work closely with research teams to continuously enhance trading models and translate complex algorithms into efficient, production-ready code. Skillset Requirements: Proven experience in a quantitative development or software engineering role within a cash equities trading environment. Expertise in More ❯
also know how to explain things clearly and concisely. You can educate and inspire. You've got a background in data science, machine learning algorithms, and data engineering along with their technologies. You're equally comfortable presenting to clients, providing advice, or building prototypes. You're a collaborator and enjoy … data science techniques, or implements novel techniques. Designing, evaluating, and implementing on-premise, cloud-based, and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks, and proposing and implementing their mitigations). Developing scalable models and algorithms that More ❯
customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Emirati national is required. Key job responsibilities As a Data Scientist, you will: Collaborate … with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers … Master's degree with several years of experience. - Several years of experience building models for business applications. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning. - Experience More ❯
