2,226 to 2,250 of 5,386 Artificial Intelligence Jobs

dream big, own every outcome, and think global but act local - come join our team! Essential Job Functions: Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data … algorithms to find patterns in financial data sets, especially time series, related to commercial real estate Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and model selection and validation … discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent A scientific approach to solving problems, an analytical mind, and experience in applied machine learning and generative AI Experience in More ❯

action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized … customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy … customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and More ❯

About the Role We are seeking a passionate and experienced Technical Engineering Lead to join our extended team. This individual will play a crucial role in designing and implementing AI/LLM-powered agentic workflow solutions, working closely with our Product Lead, Stakeholders, and Specialists. Our application suite helps Publicis Groupe Performance experts drive holistic search, social, programmatic, and commerce … contribute to a suite of products with a significant roadmap of features to be developed. Your Impact This role blends deep technical expertise with leadership and a passion for AI/LLM-powered solutions. You will be designing the engines powering our platform's success while fostering the growth and expertise of your team. Your deep understanding of scalable, efficient … team of engineers in developing applications that empower our clients to optimize marketing campaigns through data-driven insights and automated actions, with a specific focus on leveraging LLMs and AI Own the technical roadmap for your team, aligning it with the overall product strategy and business objectives, ensuring alignment with the company's vision for agentic AI/LLM-powered More ❯

will solve critical customer problems in a fast-paced environment Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership. Knowledge of building AI native applications Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies. Understands evaluation tools to validate and measure the … accuracy of solutions. High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons . Understanding of the latest tools and technologies that apply AI to real-world applications. Creates robust, scalable, and secure technical designs , effectively implementing them to balance short-term and long-term objectives, ensuring high availability … years of experience developing systems/software for large business environments. 7+ years of experience designing complex distributed systems, management products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at More ❯

Programme Delivery Manager - AI Technology Location: East Midlands Industry: IT Salary: £80,000 - £90,000 per annum + pension Posted: 19/08/2024 Description An experienced Programme Delivery Manager is required to lead and oversee the successful implementation of AI technology initiatives. The ideal candidate will have a strong background in project management, an understanding of AI technologies … and the ability to align technical solutions with business objectives. Flexibility to travel is a must. Key Responsibilities Lead the planning, execution, and delivery of complex programmes involving AI technology. Manage multiple interdependent projects within the AI technology portfolio. Coordinate with stakeholders across different departments to ensure alignment and successful integration of AI solutions. Develop and maintain programme roadmaps, timelines … lifecycle. Oversee the work of project managers and technical teams. Report on programme progress to senior management and key stakeholders. Ensure compliance with relevant regulations and ethical guidelines in AI implementation. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). 7+ years of experience in programme management, with at least 3 years More ❯

expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is … our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice … you will: Drive Customer and Marketing Innovation Solve complex business problems using advanced machine learning methods such as deep learning and quantitative analytics. Design and develop experiments with generative AI models and deep learning architectures. Consult on implementing and optimizing algorithms for content generation, including text, image, audio, and video formats. Identify and pursue innovative opportunities through discovery analytics. Deliver More ❯

artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and More ❯

and compliance stakeholders to align decisioning models with regulatory requirements such as Consumer Duty and GDPR. Monitoring and refining models based on performance outcomes, with a focus on ethical AI principles and customer impact. This role blends technical problem-solving , stakeholder engagement , and regulatory awareness to help clients create customer-centric, responsible, and effective marketing strategies. Key Responsibilities Design, build … the pharmaceutical sector, we are internationally recognised for our expertise in early-phase drug discovery, genomics, and human genetics. In late 2023, we proudly launched our new division, bioXcelerate AI, which stands at the forefront of revolutionising life sciences and healthcare research. bioXcelerate AI uses state-of-the-art data science and proprietary algorithms to accelerate the transformation of data More ❯

India) Private Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using … models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a data … science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application More ❯

delivery. You will work within a cross-functional mission-led team, led by a product manager, an engineering manager and a principal engineer. About Our Data & ML Team: Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We … have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the … SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Skills & Attributes We'd Like To See: Extensive experience in data engineering, including designing and maintaining robust data pipelines. Proficient in SQL and relational databases; familiarity with modern More ❯

Founded in 2018, Causaly's AI platform for enterprise-scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and … improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering … levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one-stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day-to-day exploration. What you'll be More ❯

About our Data & ML team Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry … consumers and platforms across the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure More ❯

As we scale, we aim to foster strong, data-driven product thinking to tackle both customer-facing and internal challenges. About the role As Zego's first dedicated Lead AI Product Manager, you'll drive the strategy and execution of our ambitious AI roadmap. This role reports to the Head of Product and partners closely with technical leads across Data … Engineering, and business stakeholders to deliver impactful AI solutions. What you'll be doing Shape and prioritise AI strategy - Identify high-value ML/AI opportunities across Zego, rank them by impact and feasibility, and build a robust roadmap aligned with business outcomes. Scope and define solutions - Validate business problems rigorously, confirm suitability for AI solutions, establish clear success metrics … with Engineering, Data Science, and Ops teams to deliver quickly and iterate based on continuous learning and feedback. Own internal launches and communications - Manage rollouts, drive adoption, proactively communicate AI capabilities and improvements, and gather insights to fuel ongoing enhancements. Build AI enablement platform - Develop reusable frameworks, evaluation processes, data pipelines, and guardrails to enable safe, scalable, and rapid adoption More ❯

team and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machine learning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered features Understanding AI model lifecycle management, including data collection, model training, evaluation … and deployment considerations. Assessing ethical and regulatory implications of AI solutions to ensure compliance with education standards. Defining success metrics and KPIs to evaluate the effectiveness of AI-driven features and ensuring alignment with business objectives. Experience Experience defining software requirements for complex products, either as a business analyst or equivalent role in Agile software delivery. Ability to understand complex More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete analytics analyses, which can include descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and … and statistical modeling. Expert in SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc. … and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience More ❯

start-up Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a high-impact biotech lab. Cutting-edge work combining AI, genomics, and diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with … AI, machine learning, and their own DNA sequencing tech in play, theyre solving incredibly complex problems at the intersection of science and software. What youll be doing: Following a successful product launch and securing Series A funding, theyre scaling fast and now looking for their very first Data Engineer. Youll take the reins on all things data - shaping the architecture … Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data workflows What youll get in return: Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and More ❯

from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Team The Customer Risk Monitoring team builds and maintains the analytical intelligence that protects Teya and its customers from financial risks such as fraud, money laundering, and terrorism financing. Our mission is to minimise losses and risk exposure while supporting trust … domain (e.g., fraud detection, AML, KYC). Experience with Apache Flink or other streaming data frameworks is highly desirable. Experience working in teams, building and maintaining data science and AI solutions. Experience integrating with third-party APIs, especially in regulated environments. Exposure to cloud infrastructure and container orchestration (e.g. AWS, Kubernetes, Helm). Degree in computer science, engineering, or a More ❯

value from our platform. Acting as a trusted advisor, you'll support customers in reaching their goals and maximizing Taktile's impact. If you're passionate about tech and AI, and have extensive experience with Python, SQL, and REST APIs, you'll thrive here. This role is also open to fresh graduates. What You'll Do as Senior Forward Deployed … stable production. Apply your technical expertise, problem-solving skills and creativity to help organizations address real-world challenges. Your day could include designing solution architectures, developing decision logic and AI agents, or aligning with key customer stakeholders-all while ensuring an outstanding experience and rapid time to value for Taktile's customers. You effectively scope work, sequence delivery, and proactively … have 3-5 years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS More ❯