Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead agile delivery of secure, scalable cloud-native data, backend, and AI/ML technology products for JPMorgan Chase's Markets Research Technology team, with a hands-on engineering focus.
Who You Are You are a Senior AI/ML Full Stack Engineer who brings deep hands-on experience building production-grade AI applications with Java or Python. You''ve spent 7-10 years mastering full-stack development and…
AI/ML Engineer on a 12-month C2C contract developing AI-powered applications and systems using Cloud AI services and Generative AI models, ensuring production-ready pipelines on cloud or on-prem infrastructure.
Build and deploy AI-driven simulation tools for engineering customers, integrating ML models into production systems using Python, PyTorch, and fastAPI.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack…
Build and run the distributed GPU infrastructure that trains and serves PhysicsX’s large AI models for engineering simulation, partnering with research scientists to optimize training pipelines and model deployment.
The Lead Machine Learning Engineer will work within J.P. Morgan's Consumer & Community Banking division to develop and implement machine learning solutions for financial services, including banking, credit cards, and loans.
Avanti Recruitment is working with a growing SaaS technology company to recruit a Mid-Level NLP Engineer to join a specialist team building and supporting production NLP and document-processing technology. This is a…
Senior AI/ML Engineer leading an LLM enrichment pipeline using Microsoft Fabric IQ and Azure OpenAI to transform unstructured product data into structured metadata (dietary, flavor, sourcing attributes) for a CPG leader. Core technologies: Azure OpenAI, Microsoft Fabric IQ, Python, prompt engineering.
Principal ML Infrastructure Engineer at PhysicsX in London builds and operates AI-driven simulation infrastructure for training, fine-tuning, and serving large physics models, using NVIDIA DGX clusters and PyTorch.
Senior Machine Learning Engineer at PhysicsX builds and deploys AI models for engineering simulation, working directly with customers to integrate ML into production tools using Python, PyTorch, and cloud/on-prem pipelines.
Builds and deploys AI/ML systems (Chariot platform) to monitor model performance, manage drift, and ensure real-world reliability for government clients, working with data (structured/unstructured) and hybrid/on-site at Fort Belvoir.
At OpenSpace, we’re redefining how the world’s most complex projects are built. Our AI-powered Visual Intelligence Platform uses computer vision and spatial AI to give construction teams a real-time view of what’s…
Senior Computer Vision Engineer builds AI-powered spatial mapping and 3D reconstruction systems for construction sites using computer vision, deep learning, and SLAM techniques.
Develop evaluations, benchmarks, and diagnostic methods to identify and analyze failure modes in frontier LLMs and multimodal models, applying post-training expertise (SFT, RLHF, reward modeling) and publishing research at top AI conferences.
Research and develop post-training techniques (SFT, RLHF, reward modeling) to improve large language and multimodal models, publish findings, and collaborate with top AI labs.
Every token a large language model generates depends on data reaching the right accelerator at the right moment. As AI models outgrow any single chip, the network between accelerators becomes the bottleneck that…
Build and optimize distributed deep learning pipelines for large-scale genomic data in a cloud environment, collaborating with ML scientists and software engineers to accelerate cancer early-detection models.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
