Senior Python Engineer - AI Testing Project (Freelance, Mindrift)
Create functional black box tests for large codebases in various source languages. Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms. Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards. Leverage LLMs such as Roo Code and Claude to accelerate development cycles, automate repetitive tasks, and improve overall code quality.
Systems Engineer - Ground and Control (Air)
You will be responsible for defining operational domains and evaluating the reliability of the AI capabilities developed in-house. You will develop and extend the state-of-the-art in uncertainty quantification and uncertainty calibration. This will involve understanding the AI systems built, interfacing with them, and evaluating their robustness in real-world and adversarial scenarios. You will contribute to impactful projects and collaborate with people across several teams and backgrounds.
Senior ML Operations (MLOps) Engineer
As a Senior ML Operations Engineer at Eight Sleep, you will pioneer cutting-edge ML technologies and integrate them into products and processes for health monitoring. You will own the design and operation of robust ML infrastructure by building scalable data, model, and deployment pipelines to ensure reliable model delivery to production. Your role involves partnering cross-functionally with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales across Pods globally. You will optimize ML systems for cost-effectiveness, scalability, and high performance by managing compute, storage, and deployment resources during training and inference. Additionally, you will develop tooling, microservices, and frameworks to streamline data processing, experimentation, and deployment, and maintain clear and direct communication within a remote work environment.
Partner AI Deployment Engineer
The Partner AI Deployment Engineer leads technical delivery with OpenAI partners across EMEA, supporting the design, deployment, and scaling of production-grade AI solutions across multiple industries and use cases. They act as the primary technical delivery partner for OpenAI partners, working with partner delivery teams and customer stakeholders to translate solution designs into deployable, production-ready architectures on the OpenAI platform. The role includes supporting customer time to value through hands-on prototyping, integration support, architectural guidance, and troubleshooting during critical phases of delivery. The engineer collaborates closely with Solutions Engineers, Forward Deployed Engineers, and other ADEs to engage the right technical expertise from design through production rollout. They help partners operationalize solutions by addressing scalability, reliability, security, and safety considerations for enterprise production environments and contribute to reusable deployment patterns, reference architectures, and delivery guidance for repeatable execution. The engineer acts as a technical quality and governance point during deployments to ensure solutions meet OpenAI’s standards before and after go-live and captures feedback from deployments to share insights for improving delivery playbooks and platform capabilities.
Freelance Automotive Engineering & Python Expert - AI Trainer
Design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; apply structured scoring criteria to assess multi-step problem solving.
Associate Programme Manager
You will be part of a computer vision team responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, and related tasks. Your role includes developing computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures. You will design experiments and conduct benchmarks to evaluate and improve model performance in real-world scenarios. Additionally, you will apply and develop techniques to adapt models to target hardware and constraints associated with downstream ML/AI tasks. You will contribute to impactful projects and collaborate with people across several teams and backgrounds.
Manual Quality Assurance Engineer, Web Core Product
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Design graduate- and industry-level mechanical engineering problems grounded in real practice. Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). Improve AI reasoning to align with first principles and accepted engineering standards. Apply structured scoring criteria to assess multi-step problem solving.
Freelance Mechanical Engineering & Python Expert - AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
AI Research Engineer - ML Engineering
You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios, collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in production systems, and work on AI-based capabilities and enabling infrastructure to allow semi-autonomous platforms to localise, navigate, and perceive the world in real time.
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