not miss capabilities that might be present in the model. About the Role As a member of this team, you will use cutting-edge machinelearning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our … skills, experience and attitudes: Experience conducting empirical machinelearning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machinelearning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills …/knowledge in the machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also More ❯
Help build the world's most advanced reinforcement learning systems at Microsoft AI. We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you'll help advance state-of-the-art model capabilities … shifting priorities Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users A background in machinelearning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds … in mathematics, competitive programming, and related domains are a plus. Responsibilities Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and More ❯
human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machinelearning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of … trust and saves them hundreds of millions of dollars of wasted spend. We are looking for talented applied scientists who enjoy working on creative machinelearning algorithms and thrive in a fast-paced, fun environment. An Applied Scientist is responsible for solving inherently hard problems in advertising fraud … business intelligence. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related More ❯
expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of MachineLearning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … financial news You'll have the opportunity to: Collaborate with colleagues on building and deploying production-grade search systems powered by LLMs using sound ML and software engineering practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have … promise. Design, train, experiment, and evaluate models, algorithms and solutions Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify opportunities for using LLMs in dealing with data scarcity issues. Demonstrate technical More ❯
expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of MachineLearning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … financial news. You'll have the opportunity to: Collaborate with colleagues on building and deploying production-grade search systems powered by LLMs using sound ML and software engineering practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have … promise. Design, train, experiment, and evaluate models, algorithms and solutions. Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify opportunities for using LLMs in dealing with data scarcity issues. Demonstrate technical More ❯
this role plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machinelearning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities 1. Generative AI … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career … request an accommodation, please let us know and we will connect you to our accommodation team. - Master's or Ph.D. degree in Computer Science, MachineLearning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machinelearning models, with a More ❯
a team, act as an expert individual contributor for architecting and developing software solutions that are currently in an early research stage. For example MachineLearning Decision Support tools for clinical decision support and population health, software for Clinical Trial Recruitment, and software for Agentic Clinical Decision Support. … of this federated analytics and machinelearning platform, following software engineering best practices. Working with both clinical data science, clinical safety, and ML engineering teams, as well as clinical end-users, to ensure that solutions are impactful and safe. Communications: Communicate with engineering and infrastructure staff on a … agents. Provide detailed performance metrics and analysis of NLP systems, including model accuracy, latency, and clinical impact metrics to the Head of AI/ML on a weekly basis. Manage relationships with LLM providers, clinical NLP tool vendors, and academic partners. Department to review NLP system performance and validate clinical More ❯
data and technology, now and for generations to come. The Opportunity: The Artificial Intelligence and MachineLearning team blend statistical techniques and ML to create value from data for our clients. You will collaborate with business stakeholders to identify use cases and shape opportunities for delivering data science … to business benefits. You'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machinelearning and statistical tools, in order to make it accessible to our clients. You will then present your results using clear and engaging … about the transformative impact the right information can have on a business. Strong grasp of statistical methods, experimental design and the underlying principles of machinelearning algorithms. Ability to transform, analyse and model data from a variety of data sources, extracting and interpreting trends and insights. Able to More ❯
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of MachineLearning 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 helps AWS customers implement Generative … and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data Scientist, you will: 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 … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and More ❯
be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machinelearning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most … offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machinelearning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical More ❯
and designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machinelearning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning … gather the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the MachineLearning team to integrate advanced AI features. Work with the MachineLearning and Data Science teams to bring the latest AutoNLU More ❯
features for our customers, ensuring seamless integration of AI technologies with existing systems. AI Integration: Implement and integrate AI technologies, such as generative AI, machinelearning models, or NLP, to enhance our platform's capabilities, optimize processes, and improve user experiences. Platform Development: Design, develop, and maintain scalable … components are scalable, efficient, and maintainable. What you need to be successful AI and MachineLearning: Experience integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products. Full Stack/Backend … or microservices. Cloud Services: Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure MachineLearning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills: A natural More ❯
Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of MachineLearning 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 … other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-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 … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and More ❯
as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machinelearning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machinelearning APIs An understanding of machinelearning techniques Benefits: Making a serious impact from day one. We're an agile company More ❯
as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machinelearning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machinelearning APIs An understanding of machinelearning techniques Benefits: Making a serious impact from day one. We're an agile company More ❯
Full-Stack Software Engineer, AI/ML, COR7005 Are you a talented Software Engineer with a passion for AI and machinelearning? This could be the perfect role for you! The Role As a Full-Stack Software Engineer, you will play a key role in designing, developing, and … Engineer include: Share options available Opportunities for professional growth and development Access to cutting-edge AI resources and infrastructure Collaborative team environment focused on learning and innovation What's Required? The ideal candidate for the role will have the following: Experience in full-stack development (React, Next.js) Strong knowledge … of software development life cycle, coding standards, and best practices Expertise in integrating and deploying large language models (LLMs) A passion for AI and machinelearning A Bachelor's degree in computer science or equivalent work experience Bonus Points Additional skills that would be beneficial include: Experience in More ❯
Science and MachineLearning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise … in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to … and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics/Data Science/MachineLearning/Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in More ❯
Science and MachineLearning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise … in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to … and guide on model and data suitability What We're Looking For: 3+ years of professional experience in Advanced Analytics/Data Science/MachineLearning/Quant, including in the Financial Services sector Hands on project lifecycle experience, from business requirements gathering to productization Coding experience in More ❯
Solution Architect - AI & MachineLearning Salary: Very competitive + bonus & benefits A Solutions Architect in Artificial Intelligence is required by a FTSE 250 giant with B2B & B2C business offerings. The company is looking to quickly accelerate the adoption of AI technology across the company, in which this role … hands-on, comfortable in rolling up your sleeves Working in an Agile environment Strong understanding of the Architectures that underlie different parts of AI & MachineLearning solution development Strong Interpersonal Skills with the ability to influence within a large corporate environment If this Solutions Architect role with a More ❯
MACHINELEARNING RESEARCHER - Sports Betting/Trading HYBRID - Once per week in London £100,000 - £180,000 + generous benefits … COMPANY: We are working with a successful company focused on building advanced platforms for sports betting analytics and trading. They are looking for an ML/Quant researcher to join the team and drive innovation within the team. The quality of work you will be doing in this role is … predictive power of existing models based on fundamental data. Work closely with the CEO, CTO, and Team Lead to design, test, and implement new ML models. Continually seek to improve existing state-of-the-art solutions. You will be involved in all aspects of the R&D process, from high More ❯
MACHINELEARNING RESEARCHER - Sports Betting/Trading HYBRID - Once per week in London £100,000 - £180,000 + generous benefits … COMPANY: We are working with a successful company focused on building advanced platforms for sports betting analytics and trading. They are looking for an ML/Quant researcher to join the team and drive innovation within the team. The quality of work you will be doing in this role is … predictive power of existing models based on fundamental data. Work closely with the CEO, CTO, and Team Lead to design, test, and implement new ML models. Continually seek to improve existing state-of-the-art solutions. You will be involved in all aspects of the R&D process, from high More ❯
developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machinelearning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of … analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video … implement, and optimize algorithms for real-time video quality analysis and defect detection, using programming languages such as Java , C++ , or C# . Deep Learning & Computer Vision : Develop and refine deep learning models and computer vision techniques to assess and improve video content quality, ensuring they scale efficiently More ❯
for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in … synergistic with TRI's robotics division's efforts in Diffusion Policy and Large Behavior Models (LBM). Responsibilities Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities … and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of More ❯
ABOUT US Akur8 is a young, dynamic, fast growing Insurtech scale-up that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machinelearning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing … pricing or policy admin systems) 3+ years experience in a quantitative position , such as Data Scientist, Engineering or Product Manager. A sound understanding of machinelearning concepts, models, and algorithms Excellent quantitative & analytical skills Very strong problem solving skills with a focus on providing and creating robust solutions More ❯
ABOUT US Akur8 is a young, dynamic, fast growing Insurtech scale-up that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machinelearning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing … pricing or policy admin systems) 3+ years experience in a quantitative position , such as Data Scientist, Engineering or Product Manager. A sound understanding of machinelearning concepts, models, and algorithms Excellent quantitative & analytical skills Very strong problem solving skills with a focus on providing and creating robust solutions More ❯