76 to 100 of 26,411 Artificial Intelligence Jobs

About The Job You're Considering We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We have a proven track record of success across a wide range of public and private sector clients with whom we have built long-standing relationships of trust … everyday life, and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills … breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. #J-18808-Ljbffr More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Senior Data Scientist/AI Engineer About The Job You're Considering We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We have a proven … everyday life, and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills … by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 2023 global revenues of €22.5 billion. Ref. code: 104482 Posted on: 6 Apr 2025 Experience Level: Experienced Professionals Contract Type: Permanent More ❯

like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest developments in Python, AI/ML technologies, and software engineering best practices. Proactively suggest improvements to systems and processes, and contribute to architectural decisions that enhance the capabilities or performance of our AI solutions. … and teamwork skills Understanding of both Waterfall and Agile methodologies The Role – Senior Software Engineer We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work … developing APIs and integrating machine learning models into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands-on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience in the travel or More ❯

Data Solutions Architect -GCP role at EXL 2 days ago Be among the first 25 applicants Join to apply for the Data Solutions Architect -GCP role at EXL Get AI-powered advice on this job and more exclusive features. Senior Talent Acquisition Manager | Hiring for Data, AI, Tech & Digital Transformation | Leadership Hiring | UK & Ireland | Driving Inclusive &... EXL (NASDAQ: EXLS … is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and … years of hands-on modelling using ERwin, ER/Studio, Power Designer , or similar tools. Reporting Tools : Practical knowledge of Power BI, Tableau, QlikView , or other business intelligence tools. Cloud & DevOps Experience : Hands-on with GCP/Azure/AWS , Terraform , Azure DevOps , GitHub , and modern data engineering approaches. Leadership : Proven ability to lead data teams and collaborate across More ❯

The Role – Senior Software Engineer We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions – from writing robust code and … developing APIs and integrating machine learning models into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands-on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience in the travel or … like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest developments in Python, AI/ML technologies, and software engineering best practices. Proactively suggest improvements to systems and processes, and contribute to architectural decisions that enhance the capabilities or performance of our AI solutions. More ❯

T) Program, an organization and program that will be developing and integrating forward-looking technologies to enhance the DoD worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving. The Data Scientist supports the production and the continued advancement of data analytical processes and techniques within the operational and technical aspects of the DAF C In … T programs, policies and concepts. The successful candidate is someone who creatively approaches a variety of requirements to meet intelligence needs, can balance work on multiple tasks, and work collaboratively with other scientists, engineers, and analysts in a collaborative, dynamic, cross-functional environment. The Data Scientist is responsible for producing applied research in the intelligence field. Consulting Support … and policies (preferred). • Experience supporting the Air Force (preferred). • Multiple data analysis languages, methods, and tool expertise (preferred) Desired Certifications: • Certified Analytics Professional (CAP) • SAS Certified Professional: AI and Machine Learning (preferred) • SAS Certified Advanced Analytics Professional (preferred) • SAS Certified Data Scientist (preferred) • DataBricks Certified Data Engineer Professional (preferred) Travel: Some travel involved, >10%. More ❯

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across … You'll build leading edge capabilities, collaborating with other teams to develop services that contribute to a range of innovative products, with a particular focus on integrating and optimising AI and agentic intelligence capabilities. Your deep understanding of microservices architectures will enable you to operate autonomously, tackling complex problems described in high-level functional terms. You'll be acutely … shaping architecture, and collaborating on implementation. You'll also contribute to the higher-level architecture of interconnected systems. We're particularly interested in candidates with a passion for Generative AI, LLMs, and agentic workflows, and a desire to build the next generation of intelligent applications. Skills And Experience At WPP Media, we believe in the power of our culture and More ❯

Key Responsibilities: Line management of an Analyst in Data Science and three Senior Research Assistants. Work with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions … ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence working alongside Advanced Analytics. Work collaboratively with Agents to implement new analytical tools, including scoping and leading projects. Work collaboratively with the PAs and other support staff in the Network to implement improvements to the data management, technology and … and management skills with the ability to manage and develop a team consisting of an Analyst Data Scientist and three Senior Research Assistants. Thought leadership on data science and AI capabilities Proficiency in data visualisation tools (e.g. Tableau, Power BI) and presenting data effectively. Desirable criteria Experience and knowledge of Cloudera Data Platform. Change management experience. An appreciation of the More ❯

at Bank of England 2 weeks ago Be among the first 25 applicants Join to apply for the Senior Data Scientist in Agencies role at Bank of England Get AI-powered advice on this job and more exclusive features. Monetary Analysis directorate The Monetary Analysis directorate provides expert advice and guidance to the Monetary Policy Committee so that it can … Key Responsibilities Line management of an Analyst in Data Science and three Senior Research Assistants. Work with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions … ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence working alongside Advanced Analytics. Work collaboratively with Agents to implement new analytical tools, including scoping and leading projects. Work collaboratively with the PAs and other support staff in the Network to implement improvements to the data management, technology and More ❯

and make a better world. As a member of the Industry Futures team, you will be working side-by-side with world-class researchers and engineers to build new AI driven construction workflows that will help our customers imagine, design, and make a better world. The Industry Futures team is active in the wider research community and has developed active … collaboration with academia and industry leaders in the field of construction. We are seeking a subject matter expert in construction digital twins and AI model development to lead the creation of real-time, multimodal digital twin solutions. This role focuses on integrating diverse data sources including BIM, schedules, reality capture, and field data into cohesive, AI-driven models that enhance … Key responsibilities include developing standardized data schemas, ensuring data connectivity across systems, and building scalable pipelines to support accurate, real-time insights. This position requires expertise in data integration, AI analytics, and digital transformation in the built environment. Based in Toronto with flexibility for remote or hybrid work, this role supports Autodesk's hybrid-first approach. Responsibilities Lead exploration of More ❯

About Exsolvæ: Exsolvæ is a Brussels-based consultancy at the forefront of Data and Artificial Intelligence innovation. We specialize in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Engineering, Advanced Analytics, and AI. At Exsolvæ, our "Solvers" are passionate professionals … Continuous Learning : Access the latest tools, certifications, and training opportunities to remain at the cutting edge of Azure technologies. Collaborative Culture : Be part of a team that values collective intelligence and mutual support. Hybrid Flexibility : Enjoy a balanced work model with opportunities for remote and in-office collaboration. Competitive Compensation : Benefit from an attractive salary, performance-based bonuses, and More ❯

Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure-by-design … data governance professionals. Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to … paced, agile environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and More ❯

frameworks (e.g. React, Angular, or Vue.js). Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and security. Collaborate with cross-functional teams to understand requirements, develop solutions, and deliver high-quality software … stakeholders at all levels, provide training, and solicit feedback. Preferred qualifications, capabilities, and skills Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg. Data Science experience. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). About Us J.P. Morgan is a global leader in financial services, providing strategic More ❯

the world's leading digital transformation service providers, we are looking to enhance our Data Practice across Europe to meet the increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experienced Data Science Consultant to join our team. The ideal candidate will have a strong background in data science, analytics, IT consulting … services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and … ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data More ❯

the world's leading digital transformation service providers, we are looking to enhance our Data Practice across Europe to meet the increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experienced Data Science Consultant to join our team. The ideal candidate will have a strong background in data science, analytics, IT consulting … services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and … ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data More ❯

the world's leading digital transformation service providers, we are looking to enhance our Data Practice across Europe to meet the increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experienced Data Science Consultant to join our team. The ideal candidate will have a strong background in data science, analytics, IT consulting … services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and … ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data More ❯

will be responsible for driving innovation, managing technical teams, product development roadmap, and ensuring the suitable functionality, scalability and efficiency of our software solutions and leading-edge products in AI-first platforms. The Software Engineering Director will ensure an AI-first development and innovation model for all AWTG products and solutions. As a key member of the executive team, the … development, and product roadmap. Align technology initiatives with the company's vision, business objectives and growth strategies. Evaluate and implement emerging technologies to maintain a competitive edge. Implement an AI-first software vision on products, platforms and solutions. Secure internal and external funding for development of new technologies and innovations. Manage P&L for the entire Software Division. Develop products … and solutions to ensure high productivity, efficiency and effective task management. Software Development: Oversee the design, development, and deployment of scalable, secure, and high-quality software solutions. Implement an AI-first software approach. Ensure adherence to best practices in software architecture, coding, and testing. Ensure continuous improvement of products and platforms. Collaborate with various stakeholders and technical teams to define More ❯

Machine Learning Engineer, London 2 weeks ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Engineer, London role at Fitch Group, Inc. Get AI-powered advice on this job and more exclusive features. Fitch Group is currently seeking a Senior Machine Learning Engineer based out of our London office. As a leading, global financial … Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our … re about a career in technology and data at Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/About The Team The Fitch Group’s AI Implementation Chapter is seeking a seasoned Senior Machine Learning Engineer with 6+ years of experience to drive advanced AI/ML initiatives across the Fitch Ratings organization. In this role More ❯

is built for the speed of today's market, eliminating disconnects between pricing strategy and rebate execution. We help companies to increase profitability and simplify the complex with accurate, AI-powered insights, real-time performance monitoring, agreement optimization, and simplified rebate management. After securing $291M in Series A-D funding and acquiring Flintfox in 2025, Enable is positioned for continued … at Enable? Visit our Life at Enable page to learn how you can be part of our journey. We're hiring a Senior Machine Learning Engineer to join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product … teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior Machine Learning Engineer, you'll play a key role in developing and integrating cutting-edge AI solutions-including LLMs and AI agents -into our products and operations at a leading SaaS company. You'll collaborate More ❯

deliver the Technology Innovation and GenAI roadmap. This role blends hands-on data science and engineering with strategic exploration, focusing on the practical application of emerging technologies - particularly Generative AI - to solve real business challenges. Working within a multidisciplinary team, the Innovation Data Scientist will lead the design, prototyping, and evaluation of innovative data-driven solutions, helping to inform and … of models and solutions, including lessons learned and recommendations for scale-up. • Support the rollout of successful innovations across business functions and applications. • Contribute to the development of responsible AI practices, including governance, testing, and documentation. • Help build AI literacy across the organisation, co-developing new ways of working and sharing insights with stakeholders. • Stay current with emerging technologies and More ❯

insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning models and AI systems to maximize performance, scalability, and real-world accuracy. Explaining complex data science concepts in order to engage stakeholders and promote data-driven decision-making across departments. Collaborating with engineers … models and infrastructure with business goals. What Kind of Things We’re Most Interested in You Having A bachelor's or master's degree in computer science, Data Science, AI, Software Engineering, or a related field is preferred. 5+ years of experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming languages … unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. RLDatix is an equal opportunity employer, and More ❯

for the MLOps Field Engineer role at Canonical 2 weeks ago Be among the first 25 applicants Join to apply for the MLOps Field Engineer role at Canonical Get AI-powered advice on this job and more exclusive features. Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform … Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams … around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems More ❯

opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure … experiences. We build solutions that automate quality workflows, accelerate debugging, and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering. Job Responsibilities Serve as a subject matter expert on a wide range of ML techniques and optimizations. Provide in-depth knowledge of ML algorithms, frameworks, and … experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, working with product and engineering teams to deliver tailored solutions. Integrate Generative AI within the ML Platform using state-of-the-art techniques. Required Qualifications, Capabilities, and Skills Formal training or certification (MS or PhD) in Computer Science, Machine Learning, or a related More ❯

What you'll be doing Develop, deploy, and maintain AI/ML models and data pipelines to support clinical and operational improvements Create interactive dashboards and visualisations for stakeholders using tools such as Power BI, Tableau, or Spotfire Collaborate with clinicians and internal teams to translate healthcare challenges into technical solutions Implement and monitor data quality, governance, and compliance practices … advantageous Proficient in Python, R, SQL; experience with Databricks and AWS preferred Skilled in data visualisation (Power BI, Tableau, TIBCO Spotfire) and handling large healthcare datasets Familiar with LLMs, AI model tuning, and application in healthcare settings Proficient in Docker, Kubernetes, FastAPI, SQLAlchemy, and web frameworks like Streamlit, NextJS, TypeScript Strong grasp of CI/CD, DevSecOps, and Git-based More ❯

Senior Data Scientist, Supply Chain | Supply Chain Analytics & Insight | Hatfield | Hybrid (2 days office) About Us: Ocado Technology is putting the world’s retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power Ocado.com, the world’s largest online-only grocery retailer as well as the global ‘Ocado Smart Platform’. With … Analytics & Insight Product Area Mentorship and Knowledge Sharing: Mentor and guide junior analysts, sharing insights from both a domain and analytical perspective to uplift the team's capabilities Explore AI for Supply Chain Decision-Making: Investigate and experiment with generative AI and other emerging technologies to enhance data-driven decision-making within the Supply Chain and Analytics domain Impact Measurement More ❯