1,201 to 1,225 of 23,302 AI Jobs

wealth of diverse knowledge and experience that strengthens our ability to meet our customers' needs. We include experts in fields such as data science, artificial intelligence, project management and many others, all dedicated to delivering innovative and effective solutions. Reporting to the Group Director of Business Development, the BD Director … Transformation Experience in selling digital sales propositions including (but not limited to) Application and legacy modernisation Agile, digital factory, and product‐centric delivery models AI, analytics, and data‐driven operating models Change Management Cloud and data platform modernisation Cyber Security & Data Privacy ERP transformation (Microsoft Dynamics preferred) Client & Account Growth ...

nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders … product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Application Process Think you’re a good fit for this job? Tell us more about yourself ...

agile methodologies, including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills: Experience with … Java 21Familiarity with Spring framework and Spring BootKnowledge of RDBMS and NoSQL databasesExperience with KafkaExpertise in microservices architectureAbility to leverage AI tools like MCP servers and Claude to enhance productivityJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations ...

libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including … retail banking, or a desire to learn how to apply your technical skills in this area. Desirable skills/experience Exposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. Experience configuring large language models to optimise cost and benefit. This is a place ...

libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including … retail banking, or a desire to learn how to apply your technical skills in this area. Desirable skills/experience Exposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. Experience configuring large language models to optimise cost and benefit. This is a place ...

libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including … retail banking, or a desire to learn how to apply your technical skills in this area. Desirable skills/experience Exposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. Experience configuring large language models to optimise cost and benefit. Benefits A generous pension contribution ...

libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including … retail banking, or a desire to learn how to apply your technical skills in this area. Desirable skills/experience Exposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. Experience configuring large language models to optimise cost and benefit. Benefits A generous pension contribution ...

data teams to solve the world\'s toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data … Engineering. Establish Industry Thought Leadership: Author whitepapers, publish technical blogs, and deliver high-impact presentations at public forums (such as the Data + AI Summit) to position the Databricks Intelligence Platform as the premier platform for enterprise database modernization. Handle the most complex technical challenges in this product line ...

mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries … keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI ...

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise … strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have ...

sectors including Transport, Defence, Air Traffic Management and Space, alongside advanced Information Technology services delivered through Minsait, and cutting-edge capabilities in Sovereign AI, Cybersecurity, and Cyberdefence via IndraMind. The company's business model is built around a comprehensive portfolio of proprietary products, combining strong innovation with a high-value … implementation of other management systems, such as ISO 27701, ISO 22301, ISO 20000, ISO 9001 and ISO 14001. Knowledge of security in cloud environments, artificial intelligence, industrial control systems (ICS), operational technology (OT) and the Internet of Things (IoT). Knowledge of physical security principles and controls. Experience with ...

other blockchain data, graph computation, and/or the cryptocurrency ecosystem. Technologies we use: Python SQL Databricks Dbt PySpark/Spark Terraform AWS Postgres AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps … rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure ...

Intelligence, the Data Scientist will work across the full data lifecycle, developing advanced models, building scalable data solutions, contributing to the businesses data and AI strategy and helping shape our modern data platform as we transition to Microsoft Fabric. Duties & Responsibilities Partner with stakeholders across the company to understand business … products that enable objective decision-making with speed and confidence. Promote and champion a data-driven culture by applying advanced analytics, statistics, machine learning, AI, and emerging technologies to solve business problems, improve performance and help the organisation move from reactive reporting to proactive and predictive decision-making. Design, develop ...

reliable operational use. You will work across a varied set of Commercial initiatives, with opportunities to support data products, process intelligence, automation and AI‐enabled solutions. Responsibilities Design, build and maintain data pipelines and curated datasets using Python, SQL and modern data‐engineering platforms. Pick up and progress existing data … Lake or comparable technologies. Experience with Celonis, process mining or process intelligence. Experience with enterprise platforms such as Salesforce, SAP or ServiceNow. Exposure to AI‐enabled applications, workflow automation or data products supporting LLM‐based solutions. Experience with CI/CD, Git, automated testing, observability or visualisation tools such ...

rating methodologies, improve data processing pipelines, and optimize platform performance Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio’s ESG data and analytics solutions Conduct research on emerging ESG trends and issues, and incorporate findings into … related field; advanced degree (MS, PhD) is a plus A minimum of 3 years of professional experience in NLP, machine learning, or artificial intelligence, preferably within the financial services, ESG, or data analytics industries Proficiency in Python and NLP libraries, such as NLTK, spaCy, or Gensim Strong understanding of data ...

everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform … vital part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data and AI challenges. Digital native companies are born in the cloud and build data and AI products at their core, which makes them among the most technical ...

standards, automation, governance, and developer experience established within our GCP platform. Alongside this, you will play an important role in enabling the organisation's AI transformation. Building on our existing cloud platform foundations, you will help develop the tooling, patterns, operational capabilities, and platform services required to support AI‐powered … applications, agentic workflows, and emerging AI technologies at enterprise scale. As a Principal Engineer, you will work closely with peers across engineering, architecture, security, and product teams to solve complex technical challenges and influence technical direction through expertise, collaboration, and delivery. You will evaluate emerging technologies, develop proof‐of‐concepts ...

built its success on disciplined, sustainable investment, the business is now making a significant commitment to the next generation of its data, analytics and AI capability, and this appointment sits at the centre of that programme. You will provide the operational expertise behind the firm's data management, ensuring data … governance across the business Monitor and analyse information and data systems, identifying opportunities for enhancement, from upgrades and automation to the responsible adoption of AI and machine learning Work with the Data Manager to keep data science tooling efficient and consistent, enabling colleagues to use the latest business intelligence ...

team, ideally building internal tools or platforms. Experience contributing to the consolidation or re-architecture of multiple applications into a single platform. Experience using AI-assisted or agentic development tools (e.g.Claude Code, Cursor) as part of a disciplined engineering workflow – able to critically review, test and take full ownership … AI-generated code. An interest in or awareness of the intelligence, OSINT,securityor investigations space. Experience mentoring junior engineers or reviewing others'code. Experience producing clear technical documentation and user guides. Prevail Partners believes in recognising and rewarding our people. Our benefits package is designed to support your wellbeing, financial ...

Movar is seeking a Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors derive actionable intelligence from complex data. You will contribute to projects involving both … traditional analytics and modern AI technologies, including Generative AI applications. Core Responsibilities Develop end-to-end data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate ...

grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data … processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high‐performance analytical environments. Contribute to DevSecOps ...

operational activities with strategic initiatives to ensure the successful delivery of key business objectives. You will also help drive continuous improvement through automation, AI and digital transformation initiatives, including the adoption of AI agents, Microsoft Copilot Studio solutions, Power Automate workflows and Power Query-based data processes.The team supports Argus … successful outcomes.Prioritising team workload, competing business requests and operational activities to ensure timely delivery of key objectives.Identifying opportunities to improve operational efficiency through automation, AI and digital solutions.Contributing to the design, development and continuous improvement of AI agents, Copilot solutions and automated workflows.Supporting the implementation of process automation initiatives using ...

Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI … close, and ongoing expansionBuild and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyersDesign and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI ...

performance, customer outcomes and operational efficiency. Stay up to date with emerging research, technological advancements, industry standards and regulatory requirements relevant to machine learning, artificial intelligence and medical imaging. Share expertise and insights across the organisation, helping to foster innovation and promote best practices in machine learning and data science. … data science - essential; MS Azure Synapse – exposure) used in the development of machine learning, image analysis and software solutions. Demonstrated expertise in machine learning, artificial intelligence and data analytics, gained through academic research, commercial projects, publications or equivalent practical experience. Experience designing, developing and implementing algorithms for image processing, signal ...

pivotal role in shaping and delivering our enterprise data platform. This is an exciting opportunity to lead the development of scalable, secure, and AI-ready modern data platform that enable advanced analytics, reporting, automated and AI-enabled processes, and the creation of data powered digital products. Working closely with Data … portals and external data providers, ensuring high‐quality, timely and secure data flows. Support the organisation's ambition to become increasingly data‐driven and AI‐enabled. Who you are Essential Experience & Skills Proven experience in a senior Data Engineering or Lead Data Engineer role. Strong hands‐on experience with Microsoft ...