Remote, Worlwide, Worldwide We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This role is designed for experienced ML engineers and researchers who understand the systems beneath high-level APIs. Candidates should have meaningful practical experience with multiple tools from the modern ML stack and be able to explain what they personally built, optimized, or operated. What You’ll Work On Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. Implement model components, data pipelines, evaluation systems, and numerical methods. Build reproducible programmatic workflows using Python and command-line tools. Work with tensor operations, automatic differentiation, model architectures, tokenization, batching, and generation. A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, * Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning. Practical proficiency with Python. Meaningful experience with at least two relevant ML frameworks, libraries, or inference tools. Strong understanding of model training, evaluation, numerical computation, or inference. Ability to debug ML systems beyond surface-level API usage. Ability to explain implementation decisions, performance trade-offs, and failure modes clearly. Experience building reproducible technical workflows. Relevant tools may include: PyTorch JAX NumPy and SciPy SGLang vLLM llama.cpp Hugging Face Transformers Hugging Face Tokenizers Equivalent tools may also be considered when the candidate demonstrates directly relevant depth. Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Remote, Remote, Worldwide Gridnaut Recruiting is hiring a remote Software Engineer, Full Stack for a flexible hourly contractor engagement supporting a leading AI lab. This is a Python-forward full-stack role: Python is explicitly named as a core language for the position, alongside Java, Rust, C#, and C++. You will contribute to model-training support, evaluation, and structured task review while working across backend services, frontend (React), databases, and cloud systems. Work is fully remote, hourly, and flexible. Pay is $50–$65 per hour (USD), depending on experience and demonstrated skill. 3+ years of production software experience at a top-tier company Proficiency in Python; experience with Java, Rust, C#, or C++ is also relevant Working proficiency in a second listed language Full-stack experience including backend, frontend (React), databases, and cloud Availability for the engagement's required schedule, up to 40 hours per week Remote availability for an hourly contractor engagement

Remote (UK / EU), Remote (UK / EU), Remote (UK / EU) We're hiring a Senior Staff Engineer to lead a new three-person squad building product categories that don't exist at tem yet: deep integration into Rosso, pricing capability, and deal-risk tooling. This is a hands-on individual-contributor role, not people management. You design, build, and review the hardest parts of the system yourself, in Python, alongside the squad. The stack is production-grade Python throughout: services built on AWS Lambda and API Gateway, state and events handled with DynamoDB and EventBridge, all wired together as event-driven architecture. You will write Python daily, both for new product integrations and for the pricing and risk logic that sits behind them. Compensation: GBP 117,850 (or local equivalent) plus equity. Benefits include 25 days holiday plus your birthday off, a remote/wellbeing budget, and fully remote working with no internal meetings on Friday afternoons. Apply: https://jobs.ashbyhq.com/tem?utm_source=PythonOrg Requirements: Proven technical leadership at Staff or Senior Staff level, with evidence of leading ambiguous initiatives to real business impact Comfortable operating without a spec, shaping an undefined opportunity into something buildable Production experience with Python at scale, and fluency with AWS serverless services (Lambda, API Gateway, DynamoDB, EventBridge) Sound commercial judgement: able to reason about deal risk and revenue impact, not just delivery Track record leading a squad through technical direction and mentorship, without formal people-management responsibility Strong written and verbal communication with commercial stakeholders Bonus points: Experience in energy, fintech, or another regulated, high-stakes commercial domain Experience taking a product or company into a new international market Exposure to workflow orchestration or real-time pricing engines

REMOTE, REMOTE As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code. Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data? Very proficient with Linux at the terminal level Test-driven development (TDD) and pytest proficiency 7+ years Python experience Polars experience PostgreSQL expertise: schema design, optimization, advanced queries Familiarity with, and adherence to, PEP guidelines and Python coding standards RESTful API development and design best practices Scalable architecture design for high-volume data environments Security practices and vulnerability prevention Bug identification and resolution with local testing Thoughtful development centered around performance, deeply optimized code, and proper code organization Git version control with branching strategies English fluency (written/verbal) Cover letter requirement with specific opening line Previous experience working for a US-based company. Nice to have Experience with AWS (devops). Who we are NOT looking for Agencies People who are looking for a side “hustle” or are starting their own business Anyone with less than 7 years of experience If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 7+ YEARS OF EXPERIENCE in all CAPS To be considered please fill out this form: https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y