Remote, United States of America We are looking for a part-time software engineer to help implement a proof of concept for an experimental decentralized, censorship-resistant networking protocol. The network architecture and protocol design are already substantially defined. Your job will be to translate that design into a working Python implementation, make implementation-level engineering decisions, and help identify problems that emerge during testing. The objective is a functional proof of concept, not a production-ready implementation. The work primarily involves Python, peer-to-peer networking, asynchronous/concurrent programming, and applied cryptography. Experience implementing network protocols, peer-to-peer systems, or distributed systems is a plus but not required. This is not a cryptocurrency, NFT, or Web3 project. Approximately 20 hours per week at $20 USD/hour. The initial proof-of-concept effort is expected to last approximately four months. Strong Python programming skills. Good understanding of networking and network protocols. Familiarity with asynchronous or concurrent programming. Working knowledge of applied cryptography and standard cryptographic primitives. Ability to independently reason through, implement, and debug systems. Use of generative AI or AI coding assistants for project work is not permitted.

Birmingham, United Kingdom We’re looking for a Django Developer to join our team and strengthen our support and delivery capacity across a growing portfolio of partner work. For this particular role we’re looking for someone with strong Django experience, and knowledge of Wagtail would be ideal too. You’ll be joining our Partner Success team as a technical contributor, responsible for maintaining and delivering solutions that support our SLA (Service Level Agreement) and retainer-based partners. This role combines hands-on development work with a strong focus on reliability, responsiveness, and technical partnership - prioritising uptime, speed of resolution, and consistent delivery for our partners. We’re looking for intelligent people with an eagerness to learn new things. As well as technical knowledge, we need someone who gets it - someone who is a natural problem solver, knows when to ask for support, and can turn messy incoming requests into calm, practical solutions. We’re not just code machines - we’re humans, so we need developers who collaborate, support, and work together to help the whole team succeed. This role suits someone who can combine solid backend development with technical leadership in process: helping a team deliver well without needing to formally manage it. We have a lot of clients / partners, and a lot of codebases. You won’t be working on the same project for months, but need to be confident about context switching, making sensible technical decisions, and working across multiple streams of work. The Role involves: Working with Python, Django, and Wagtail (our favourite CMS framework) Picking up and delivering backend development work across a range of partner projects and retainers with SLAs in place Sprint management - ensuring that sprint goals are met Supporting issue triage - helping to assess incoming requests, and picking up quick fixes to keep our partners happy Improving team processes around deployment, environments, release visibility, and technical handover Interacting with the partners we work with to help scope, plan, and sometimes directly respond to technical work Collaboratively working with project managers, designers, and other developers to deliver successful work as a team Reviewing other developers’ code to promote best practices and encourage co-operative learning Being able to adapt and integrate new technologies quickly, using new APIs and technologies as needed Taking non-technical requests and designing solutions which result in logical data structures, smooth user experiences, well tested code, and long-term code-base health We are looking for someone who… Has strong professional experience with Python and Django Enjoys working across multiple projects and codebases Can confidently work in existing systems, improve them, and make sensible technical decisions Is comfortable being a senior technical presence within a team, without needing formal line management responsibility Can help others learn through pairing, reviewing, explaining, and unblocking Is organised and comfortable with context switching Can communicate clearly with both technical and non-technical people Seeks working in an agency environment (albeit a not-for-profit one!) Enjoys the Zen of Python and ‘Pythonic’ code Is energised by working on projects for charities and non-profits Can balance the perfectionists-with-deadlines mantra of Django for the resource constrained third-sector Is big hearted and keen to make the world a better place Knows the importance of sharing skills and learning The following would be a bonus... Knowledge of Wagtail CMS Confidence with deployment workflows, release processes, and environment management DevOps awareness and confidence working close to infrastructure, even if not a full-time DevOps specialist Some front-end confidence, enough to handle simpler changes where useful Experience supporting or maintaining long-running partner relationships through ongoing technical work Experience with React Native or willingness to learn enough to support adjacent app work

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