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

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

Tallinn, Harju County, Estonia Location: USA & LATAM | Remote Employment Type: Contractor, Full-time What You’ll Do: Design, develop, and maintain backend services and RESTful APIs using Python, Flask, or FastAPI Build clean, maintainable, and scalable solutions following Python best practices and PEP8 Work with SQL databases, particularly PostgreSQL Develop unit and integration tests using Pytest Create and maintain API documentation using Swagger/OpenAPI, Insomnia, or similar tools Integrate Large Language Models (LLMs) and AI-powered functionality into backend applications Work with Git-based development workflows and participate in code reviews Debug, troubleshoot, and improve existing backend systems Contribute to CI/CD processes and development automation Collaborate with engineers and other team members in an Agile environment Communicate effectively with an international team in English What We Offer: Paid vacation and sick leave Equipment for comfortable work, if required 50% coverage of professional courses Competitive compensation based on your skills and experience Reliable and always-on-time payments A supportive international team Straightforward processes without unnecessary bureaucracy 100% remote, full-time cooperation What We’re Looking For: 2–3+ years of commercial Python development experience Strong knowledge of Python fundamentals Hands-on experience with Flask and/or FastAPI Experience developing and integrating REST APIs Practical experience with SQL databases; PostgreSQL is preferred Experience with unit and integration testing Familiarity with Docker Confident use of Git and Git-based development workflows Familiarity with code-quality tools such as PyLint, Flake8, or similar Experience or strong practical interest in integrating LLMs into backend applications Ability to work in Linux and/or Windows environments English level B2 or higher Strong problem-solving skills, attention to detail, and a proactive approach Ability to work independently and effectively within a distributed team Based in the USA or LATAM Nice to Have Experience with CI/CD pipelines, such as Jenkins or GitLab CI Experience with cloud platforms Familiarity with Kubernetes Experience with Jira, Crucible, or similar collaboration tools Previous hands-on experience integrating LLM APIs or AI-powered features

Remote, United States 3GIMBALS is seeking a Full-Stack Software Engineer with a strong front-end focus to help design, build, and deliver capabilities for OMEN™, our multi-domain data fusion and analytics platform. This role is ideal for an engineer with strong front-end development experience who is also comfortable working across the full application stack. The Full-Stack Software Engineer will build responsive, intuitive user experiences using TypeScript and React, develop and integrate backend services and APIs using Python and FastAPI, and take features from initial design through deployment and operation in AWS. The position works closely with developers, analysts, and subject matter experts to translate complex mission and user requirements into practical software capabilities. As part of a small, multidisciplinary team, this role provides meaningful ownership of the features developed and the opportunity to influence both the user experience and technical direction of the platform. Key Responsibilities Design, develop, and maintain responsive, user-facing applications using TypeScript and React. Translate complex workflows, data, and analytic capabilities into intuitive and effective user experiences. Design, build, and maintain RESTful APIs and backend services using Python and FastAPI. Integrate front-end applications with backend APIs, data services, and other OMEN platform capabilities. Own software features throughout the development lifecycle, from requirements and technical design through implementation, testing, deployment, and sustainment. Design and manage database schema changes and migrations using Alembic. Build and maintain GitLab CI/CD pipelines to automate testing and application deployment. Deploy, monitor, troubleshoot, and scale applications in AWS environments. Write clean, maintainable, well-tested, and documented code. Participate in code reviews, architecture and design discussions, and technical planning. Collaborate with developers, analysts, subject matter experts, and other stakeholders to understand user needs and deliver effective solutions. Contribute to engineering standards, development practices, and continuous improvement across the OMEN team. 3–5 years of professional software engineering experience developing production applications. Strong proficiency in Python. US Citizenship Professional experience developing modern front-end applications using TypeScript and React. Hands-on experience developing APIs and backend services using FastAPI. Experience managing database schema migrations using Alembic. Experience using GitLab for source control and CI/CD pipelines. Experience deploying and operating applications in AWS. Solid understanding of software design principles, testing, debugging, and application performance. Demonstrated ability to develop and deliver features across both the front end and backend of an application. Strong written and verbal communication skills and the ability to collaborate effectively within a multidisciplinary team.

Remote, Worldwide HFT Architecture builds short-horizon price prediction and the trading system around it. This role works on the pipeline that turns order-book records into validated models, next to more experienced engineers: data preparation, experiments end to end, and the checks that keep the future out of a training set. Fully remote, from anywhere in the world. Junior. Base salary: USD 125,000–155,000 a year. To apply: a link to your résumé, LinkedIn or GitHub, and one sentence on any of our articles. No file, no cover letter. Apply: https://hftarchitecture.com/careers/junior-machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10 You write Python every day, with tests; can explain the machine learning basics, including why ordinary cross-validation breaks on time series; and have one project of your own you can show and talk through.

Remote, Worldwide HFT Architecture builds short-horizon price prediction and the trading system around it. This role builds the pipeline from raw order-book records to a fitted, validated model: data preparation, features, training and out-of-sample measurement, reproducible run to run, with leakage controls built in. Fully remote, from anywhere in the world. Middle+ to senior. Base salary: USD 180,000–240,000 a year. To apply: a link to your résumé, LinkedIn or GitHub, and an answer to one question about our article "Why Your Market Maker Loses Money". No file, no cover letter. Apply: https://hftarchitecture.com/careers/machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10 You have built and run machine learning systems yourself, write Python with tests and versioned data, handle time series without leakage, and work with tens of millions of rows a day on ordinary hardware.