451 to 475 of 915 Machine Learning Jobs in London

New Delhi and Estonia, is an international provider of drone operations and traffic management solutions for unmanned aircraft systems (UAS) aka Drone operators and airspace managers. We offer intelligent Machine Learning and AI driven traffic management software capabilities for UAS Traffic Management (UTM) and Urban Air Mobility (UAM) operations like "Flying Cars". Key Responsibilities Coordinate and lead More ❯

Leader in Speciality Insurance. Join a fast-growing analytics team that’s redefining how a global insurer operates. This role is about building intelligent automation solutions that combine AI, machine learning and advanced data processing to transform business performance. Role Overview: Location: Hybrid/Central London Package: £80,000–£100,000 per annum Performance Bonus Benefits Industry: Insurance More ❯

R. Hands-on experience with Power BI (or similar tools like Tableau, Looker). Experience with CRM databases and supporting marketing with customer insights. Bonus Points For Predictive modelling, machine learning, or advanced statistical analysis. Experience with Google Cloud and BigQuery. Code-based app development. Database/BI system administration and migration. A technical degree (Mathematics, Economics, Computer More ❯

through technology solutions, service excellence, and digital innovation. We specialize in web and application development, software testing and support, data and content management, digital experience, accessibility, and data for machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide, iSoftStone is proud to serve some of the world's most well-known businesses More ❯

a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills Please provide all academic certificates showing the More ❯

pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with More ❯

and leverage their expertise in cloud technologies to drive their customers success. Delivery Consultants have a deep understanding of AWS products and services, including compute, storage, networking, security, databases, machine learning, and serverless technologies. Delivery Consultants are proficient in delivering complex, scalable, and secure solutions tailored to meet the specific needs of each customer. Delivery Consultants work closely More ❯

video editing tools. Strong problem-solving and written communication skills. Ability to simplify complex information for diverse audiences. Understanding of data protection and digital safeguarding. Awareness of AI and machine learning concepts. Knowledge of design software, particularly Adobe software Key Deliverables Reliable digital products and solutions that meet business and user needs. Increased engagement across digital platforms. Responsive More ❯

Training and development opportunities Organised sports activities "As a Software Engineer in the Core Technology team, I build data access layers, business logic, and user interfaces-applying data science, machine learning, and modern development practices. Genomics has been a great place to learn, surrounded by supportive colleagues, while developing products that could improve people's health. It's More ❯

become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

React, Next.JS, Node.js, Python, and AWS. Strong understanding of software architecture, design patterns, and best practices. Experience with cloud infrastructure and services, particularly AWS. Experience working with AI/ML toolings Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts More ❯

React, Next.JS, Node.js, Python, and AWS. Strong understanding of software architecture, design patterns, and best practices. Experience with cloud infrastructure and services, particularly AWS. Experience working with AI/ML toolings Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts More ❯

with pioneering technology and data science applications. 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 language Experience in any of More ❯

internal working groups on Responsible AI, AI governance, and ethical design. Educate stakeholders on emerging AI risks and mitigation strategies. Qualification and skills: Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI More ❯

internal working groups on Responsible AI, AI governance, and ethical design. Educate stakeholders on emerging AI risks and mitigation strategies. Qualification and skills: Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI More ❯

on business needs, define use cases, and develop comprehensive implementation plans as part of the overall product roadmap. Product Delivery Improvement: Collaborate with a talented team, including software engineers, ML engineers, data engineers, and product owners, to conduct design reviews and critical feedback sessions aimed at enhancing product delivery. Stakeholder Partnership: Influence and partner with stakeholders across the insights & analytics More ❯

demonstrate depth and breadth across the architecture domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Platforms, Security, Integration, Business Architecture Strong understanding of emerging and innovative technologies, like AI/ML and no code/low code, and how to shape IT strategy and delivery to leverage those technologies. Experience in capability development activities, such as team building, training, recruitment, career More ❯