101 to 125 of 559 Permanent Artificial Intelligence Jobs with Remote Work Options

BUPA, discretionary bonus A stunning opportunity for a Senior Principal Software Engineer to join a high-growth techbio company at the forefront of the AI-driven drug discovery revolution. You will join a small agile team and play a significant role in building software products that have never been built more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues Equip end more »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place that … the rest. Since the company was established in 2017, causaLens has: 🥳Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here 🚀Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs. 🦄Raised $45 million in … Series A funding 🏆Been named a leading provider of Causal AI solutions by Gartner - here 🚀Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your career At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform more »

Junior-Mid level Software Engineer (JavaScript) - New ML/AI Platform Join a dynamic Data organisation in Sheffield seeking a Software Engineer (JavaScript) to help build their cutting-edge AI/ML Data platform. Working as a Software Engineer you will work closely with other developers, product managers, designers, business … Grasp of software engineering principles and knowledge across the entire SDLC Familiarity with small team dynamics or startup environments Passion for collaborating closely with Artificial Intelligence and Machine Learning technologies With the organisation poised for rapid expansion, this is an exciting opportunity to grow alongside them. If you more »

remote company with staff in the UK, Ireland and the USA. Role Description This is a contract (remote) position for a Machine Learning/AI Engineer in Generative Music at Wavetick. You will be responsible for developing and implementing machine learning algorithms and models, conducting data analysis, and optimising algorithms … to the majority of our staff working primarily in GMT. Responsibilities Develop and deploy machine learning models that serve as the backbone for ethical AI driven generative music. Evaluate and integrate new datasets to improve model training and performance, ensuring a diverse and inclusive representation of music genres and styles. … information retrieval and generative models for music. Optimise machine learning pipelines for better efficiency, scalability, and performance. Stay abreast of the latest advancements in AI, machine learning, and computational creativity, applying new findings to product development efforts. Lead the development of prototypes to showcase new concepts and features, working closely more »

Designers or Developers . Working with IT Support Officers and other Web Developers, you will also be given exposure to our projects on blockchain, artificial intelligence, and other emerging digital technologies under development. The ideal candidates will be responsible for providing frontline web support for the BCI. As more »

This Software Vendor in the Utilities space are looking for their next VP of Data & Analytics to help transform their Analytics & AI offering. THE ROLE As a VP of Data & Analytics for the business you will: Manage the existing Analytics & Data Science team Work closely with C-level stakeholders across more »

scratch to ensure the scalability of their software. The platform itself is cloud agnostic (AWS, GCP, and Azure), leverage the most modern advancements in AI and Machine Learning, and use open-source software for an unmatched performance. Requirements Bachelor’s degree in Computer Science, Engineering, or a related field (or more »