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.
An IT Solutions Engineer at a fast-growing AI startup in Birmingham will manage IT operations and spearhead AI adoption, solving technical challenges to scale the business.
The Senior Programme Manager for Integrated Logistics Support will own the end-to-end delivery of ILS for defence projects, managing maintenance planning, supply chains, and support frameworks. The role involves structuring bids, managing master schedules, and ensuring operational readiness for AI-enabled defence systems.
The Project Controls Manager designs and implements operational frameworks for large-scale data center construction, managing schedules, budgets, and change control processes. They provide leadership with data-driven insights and performance reporting to ensure project alignment and operational excellence.
Intern in Comparis’s data team to develop and improve generative AI models for user-facing features, clean training data, and help deploy AI tools across the company.
Designs and optimizes custom silicon solutions for Google’s hardware, focusing on physical design methodologies, timing/power closure, and SoC partitioning to enhance performance and efficiency in AI and infrastructure products.
Maintains and optimizes GPU/Kubernetes infrastructure for AI workloads, deploys and secures LLM serving stacks, and builds MLOps pipelines for training and inference.
Intern designs and deploys MLOps platforms, automates observability and resource management, and ensures reliability for ML training and inference systems.
Builds and optimizes AI-driven tools to streamline software development lifecycle (SDLC) processes, including CI/CD pipelines, backend services, and AI/ML workflows for engineering efficiency.
The Field Solutions Engineer will plan and execute the deployment and integration of AI-driven C-UAS defense systems at customer sites. This hands-on role involves working directly with operational users to integrate software and infrastructure while applying DevOps practices to field updates.
Design and ship AI-driven systems end-to-end: scope problems, architect solutions, and build the first working version using Python, SQL, and cloud data platforms like Snowflake and BigQuery.
The Technical Product Owner at TD's Layer 6 AI research centre leads the delivery of production-grade AI/ML solutions by coordinating cross-functional teams of scientists and engineers. The role involves translating business goals into technical roadmaps, managing architecture trade-offs, and overseeing MLOps and governance.
EvenUp is seeking a Senior Data Scientist to analyze medical and treatment data to improve legal settlement outcomes using AI and statistical modeling. The role involves partnering with cross-functional teams to define KPIs, build analytical foundations, and mentor junior staff in a hybrid office environment.
The Adversarial ML Engineer will focus on AI red-teaming and guardrails for foundation models, designing and training models to address security vulnerabilities. This role involves working across data pipelines and API layers to provide remediation guidance and retesting in a fully remote environment.
The AI Engineer will develop LLM-powered agents and RAG pipelines to automate workflows and build conversational interfaces for PureFacts' financial SaaS platform. The role focuses on integrating AI models, ensuring system reliability, and collaborating with cross-functional teams to deliver production-ready AI copilots.
This role involves performing adversarial testing and red teaming on foundation models and AI systems to identify and remediate security vulnerabilities. The engineer will design and train ML models and SLMs while collaborating with client teams to ensure robust security across model, application, and data pipelines.
The Senior Data Scientist will lead machine learning efforts for physical measurement data, focusing on anomaly detection and classification using Python. The role involves improving existing production models, mentoring team members, and collaborating with hardware specialists to enhance data quality and model performance.
The Staff Machine Learning Software Engineer leads strategic AI initiatives and directs multiple engineering teams at RBC Borealis to deliver scalable, production-grade machine learning solutions. This role focuses on bridging the gap between research and production, overseeing ML infrastructure, and driving cross-functional collaboration to solve complex business challenges.
The Data Scientist II will develop data-driven strategies and machine learning models to support Life & Health insurance initiatives at TD. The role involves using SQL and Python to perform analysis, build predictive models, and communicate insights to stakeholders.
The AI Engineer will design, develop, and deploy scalable agentic AI systems and generative AI applications using the Databricks platform. This role involves collaborating with data scientists and engineers to integrate AI models into production environments while utilizing Python, SQL, and modern cloud architectures.
The Senior Full-Stack Engineer will build and architect immersive educational platforms using Next.js, React, TypeScript, Prisma, and MongoDB. This role balances hands-on development with technical leadership, focusing on mentoring the engineering team and shaping technical standards.
We couldn't check your fit for this role — add a CV to your profile to see it next time.