4 Artificial Intelligence Jobs in Hammersmith

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 »

services and platforms (specialised software, IT services, marketing technology and platforms) Mobile and telecoms (smartphones, wearables and networks) Emerging technologies (3D/4D printing, AI, quantum computing, autonomous robotics). We are already a preferred consulting partner of a Fortune 50 company and are advising SVPs and C-suite clients. more »

services and platforms (specialised software, IT services, marketing technology and platforms) Mobile and telecoms (smartphones, wearables and networks) Emerging technologies (3D/4D printing, AI, quantum computing, autonomous robotics). We are already a preferred consulting partner of a Fortune 50 company and are advising SVPs and C-suite clients. more »

to construct composable, modular technology platforms aimed at bridging the global SME funding gap. 🔎 Who the senior ML engineer should be : We seek an AI expert with a robust scientific background and scalable production-level engineering skills. The ideal candidate will have spearheaded AI projects, implemented suitable workflows and tooling … key. Adaptability in addressing business challenges in their early stages is essential, prioritizing collaboration and adaptability over rigid planning. Responsibilities: Maintain a repository of AI use cases, requirements, potential impact, and success rates. Collaborate with product/domain teams to craft an integrated delivery roadmap. Develop prototypes and experiments aimed … Data/Cloud engineering stacks. Detail-oriented with excellent communication and collaboration skills. Experience mentoring junior team members. Desirable: Experience with Google Cloud, Vertex AI, Big Query, and Airflow. Track record of delivering successful risk models. Strong business acumen and ability to solve complex business problems. Join us in shaping more »