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Python jobs in United Kingdom

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  • Full Stack Developer
    Full Stack Developer
    1 month ago
    £50000–£70000 yearly
    Full-time
    London

    Concord AI is building collaboration infrastructure for AI coding agents. Tools such as Claude Code, Codex, and Cursor often work in isolation, without awareness of other agents’ work, decisions, or potential conflicts. Concord provides a shared workspace where agents can coordinate tasks, share context, hand off work, and avoid duplication. We are looking for an entry-level Full Stack Developer to join our small team and work directly with the founders across our open-source product and Concord Cloud. What you’ll work on • Build user-facing features with React, Next.js, and TypeScript, • Develop APIs and backend services for Concord Cloud, • Design interfaces for agents, tasks, activity, and shared workspaces, • Work with databases, authentication, and real-time application state, • Integrate Concord with tools such as GitHub, Linear, and coding agents, • Improve onboarding and simplify technically complex workflows, • Prototype ideas quickly and share them with users, • Talk with early users, debug issues, and ship improvements, • Contribute to technical and product decisions as the product develops You’ll own features end to end from an early stage, rather than spending your first months only addressing small tickets. Who we’re looking for You may be a recent graduate, self-taught developer, bootcamp graduate, or someone with up to around two years of professional experience. We are more interested in what you can build than where you studied. You should have: • Built at least one complete web product or substantial personal project, • Good knowledge of JavaScript or TypeScript, • Experience with React and modern web development, • An understanding of APIs, databases, and backend development, • Strong software engineering fundamentals, • The ability to work independently and solve problems, • Good communication skills, • Curiosity about AI, coding agents, and developer tools You do not need professional experience with every technology we use. Bonus experience • Building and deploying a SaaS product or side project, • Contributing to open source, • Working with Next.js, Postgres, or similar technologies, • Building projects with LLMs or coding agents, • Using Claude Code, Codex, Cursor, or similar tools Why join us As a small team, we offer significant ownership from the beginning. You’ll work directly with the founders, contribute to architectural and product decisions, and ship features that can materially influence the product. You’ll also help explore how humans and AI agents can work together effectively. How to apply Please send: • Your CV or LinkedIn profile, • Your GitHub, portfolio, or something you have built, • A few sentences about a project you are proud of or an interesting technical problem you have solved No formal cover letter is required.

    No experience
    Easy apply
  • Quantitative Researcher
    Quantitative Researcher
    19 days ago
    £10000–£15000 monthly
    Full-time
    London

    Key Responsibilities Research and develop systematic trading strategies for US equities and futures markets. Identify potential trading opportunities using statistical analysis, financial data and quantitative modelling. Build and maintain Python-based research, data-processing and backtesting tools. Design realistic backtests that account for transaction costs, slippage, liquidity constraints and execution assumptions. Apply robust validation methods, including out-of-sample testing, walk-forward analysis and sensitivity analysis. Investigate momentum, mean reversion, statistical arbitrage and market microstructure opportunities. Evaluate strategy performance using risk-adjusted returns, drawdowns, capacity and other relevant metrics. Contribute to portfolio construction, position sizing, risk controls and execution research. Document research methods, assumptions, results and limitations clearly. Essential Requirements Professional experience in quantitative research, systematic trading or a closely related field. Strong Python programming skills and experience working with financial or time-series data. Solid foundations in probability, statistics, time-series analysis and quantitative modelling. Practical experience developing, testing and evaluating quantitative trading strategies. Understanding of overfitting, look-ahead bias, survivorship bias and other common backtesting pitfalls. A rigorous, independent and evidence-driven approach to research. Strong analytical and communication skills. Desirable Experience Experience researching or trading US equities and futures. Knowledge of market microstructure, execution modelling and transaction cost analysis. Experience with statistical arbitrage, momentum, mean reversion or other systematic strategies. Familiarity with C++, performance optimisation or low-latency trading systems. Experience monitoring live strategies and analysing real-world execution. A postgraduate degree in mathematics, statistics, physics, computer science, finance or a related quantitative discipline. Compensation and Opportunity Competitive base salary of £80,000–£150,000 per annum, depending on experience and suitability. Performance-related bonus linked to individual contribution and business results. An opportunity to contribute directly to quantitative research and systematic strategy development. A research-focused environment that values analytical rigour, independent thinking and disciplined risk management.

    Immediate start!
    No experience
    Easy apply
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