Durlston Partners LLP

Durlston Partners LLP is hiring a Senior Software Engineer in London to design and develop core platforms that enable autonomous systems. You will work alongside exceptional engineers and tackle complex technical challenges in a collaborative culture. The ideal candidate has strong skills in C++, Java, Rust, or Python and a technical background. The role offers a competitive salary of up to £150k with meaningful equity, alongside benefits like private health insurance and free meals.

Senior Software Engineer (Rust, C++, Java, Go or Python) Software Engineering Up to £150k base + meaningful equity London Senior Software Engineer - Rust, C++, Java or Python - London - Up To £150k base + meaningful equity Are you excited by solving technically challenging problems and building mission critical software? We're partnering with a well funded, high growth technology company at the forefront of software and AI innovation. They're building the foundational platforms that power the autonomous age - tackling some of the toughest challenges in robotics, autonomy, and large scale data systems. This is a chance to: Build core platforms and intuitive interfaces that enable autonomous systems to collaborate and process vast amounts of sensor data. Solve complex technical problems alongside exceptional engineers from AI, robotics, and systems backgrounds. Join at a pivotal growth stage, with high levels of ownership, autonomy, and impact from Day One. Work in a collaborative culture, where your ideas directly influence product design, functionality, and direction. What you'll do: Design, build, and test core software platforms and user interfaces. Collaborate with customers and users to refine and deliver features that matter most. Interface with autonomous and robotic systems in the field. Contribute to a culture of engineering excellence, working closely with colleagues across AI/ML, networking, and robotics. What we're looking for: Strong programming skills in C++, Java, Rust, or Python. A strong computer science, engineering, or technical background (degree or equivalent experience). Enthusiasm for working across a diverse tech stack and solving problems in mission critical environments. Competitive base salary (£100k-150k) with meaningful equity in a company built for the long term. Strong employer pension contribution. Private health and dental insurance. Free breakfast, lunch, and weekly team socials. A collaborative engineering driven culture, with a modern London office as the hub.

Quantitative Developer, Software Engineering, Systematic Trading & Research London We are working with a scientifically-driven asset management firm, researching and developing state-of-the-art scientific investment processes. These apply to investors, both as an alternative and a complement to the traditional discretionary bond markets. They're a well-established, but fairly early-stage (less than 200 employees) trading firm based in London, dedicated to becoming a leading figure. Looking for a Principal Engineer, need a "go to person" for Finance & Tech questions. This will be a nice mixture of leadership/hands-on responsibilities within their Engineering function, contributing to a broad range of front-office and systems-based projects. Tech: Python (and Rust, prior experience not mandatory, but willingness to learn). Compensation package north of £180k base, with equity from day one and a bonus on top. They have one of the best cultures in the industry including lots of flexibility and an office that people choose to go to. Given their relatively early stage, they're massive on ownership and offer you the ability to set the standards for the engineering teams.

Quantitative Developer London Quantitative Developer (Fixed Income/Credit) - Hedge Fund - London - £120k to £140k Experience level: 2-8 years Durlston Partners is working with an elite-level Hedge Fund that is looking for a Quantitative Developer (Fixed Income/Credit) to join their team. The Profile: Experience:2-8 years in a Quant Development role (Hedge Fund or Tier-1 IB) Tech Stack:Python, NumPy, Pandas, etc. Domain (Essential):Deep knowledge of Fixed Income or Credit products Why Apply? Culture:Flat structure, rapid release cycles, no red tape Stack:Greenfield projects available within a modern Python ecosystem

Durlston Partners LLP is seeking a Senior Software Engineer to join a leading AI organization in London. This role is central to developing next-generation conversational agents that enhance customer interactions. The ideal candidate will have 2+ years of experience in software engineering, with strong skills in Python and TypeScript. Responsibilities include designing AI agents, working on features from inception to production, and collaborating with business leaders across various industries.

Durlston Partners LLP is seeking a Software Engineering Manager for their AI Agent Team in London. This role involves leading a high-performing team to build and optimize conversational AI agents used across various industries. The ideal candidate will have strong expertise in Python and TypeScript, along with engineering management experience. You will be instrumental in shaping the engineering hub, driving impactful projects and collaborating with top engineers. The position offers excellent compensation packages and a stimulating work environment.

Durlston Partners LLP is seeking a visionary leader to architect and accelerate a frontier AI program in London. You will shape the AI strategy, build and mentor a world-class team, and turn ambitious ideas into scalable solutions. You'll drive architecture decisions, data pipelines, and safety protocols while guiding collaborations with research, engineering, and enterprise partners. This role requires demonstrated success leading large-scale models and complex AI platforms.

Engineering Manager (Python) - GenAI Start-Up Software Engineering London Engineering Manager (Python) - GenAI Start-Up - London - £300,000 + equity Durlston Partners is working with an elite-level AI Tech firm that is looking for an Engineering Manager with a strong Python background to lead and grow one of their core engineering teams. You'll work closely with AI researchers, data scientists, and senior engineers to deliver scalable, high-performance AI systems. This is a hands on leadership role where you'll guide technical direction, mentor engineers, and contribute to production code and distributed system design in large scale, data intensive environments. What You'll Do Lead and mentor a high-performing team of software engineers working on AI research infrastructure, model training, and data pipelines. Drive the delivery of efficient, production ready implementations of research models. Oversee the design, reliability, and optimisation of distributed, high-performance training and inference services. Establish and enforce best practices in testing, monitoring, CI/CD, and deployment across the team. Collaborate with product and research leads to define roadmaps and deliver high-impact engineering outcomes. What They're Looking For Strong academic background in Computer Science (ideally from a top global university). Experience leading engineering teams, ideally within Trading, Big Tech, AI, or similarly high performance environments. Excellent Python skills and the ability to guide architectural and code quality decisions. Knowledge of distributed systems or high performance computing at scale. Track record of delivering complex technical projects and fostering strong engineering culture. What They Offer Competitive compensation with equity. Work alongside top tier AI researchers and engineers. Fast moving, innovative environment. Direct impact: your leadership shapes the AI research and deployment infrastructure at scale.

Durlston Partners LLP in London is looking for an Engineering Manager (Python) to lead a high-performing engineering team at an elite AI Tech firm. In this role, you will collaborate with top-tier AI researchers and data scientists to develop scalable AI systems while mentoring engineers and guiding technical decisions. Ideal candidates have a strong Python background, experience in high-performance environments, and a degree in Computer Science. The position offers a competitive salary of £300,000 plus equity.

Durlston Partners LLP is seeking an Execution Quantitative Researcher in London. You will lead efforts in execution research, develop strategies, and optimise order placements. The role requires 2-8 years of experience in quant trading and strong analytical skills in market microstructure. Candidates should be proficient in Python and hold an advanced degree in a quantitative field. The position offers a competitive salary of up to £170k plus a bonus.

Digital Assets, Systematic Trading & Research Up to £170k base + Bonus London Role Overview As the Execution Quantitative Researcher, you will play a pivotal role in establishing and advancing execution research efforts. This is an exciting opportunity to be the inaugural hire in this domain, allowing you to define and lead our execution strategies from the ground up and learn on the job. Key Responsibilities Strategy Development: Create and enhance execution strategies aimed at capitalising on new alpha signals over various time frames, ranging from seconds to hours. Slippage Minimisation: Optimise order placement and scheduling techniques to effectively reduce slippage during trades. Market Impact Modeling: Develop comprehensive market impact models and seamlessly integrate them into the portfolio optimisation framework. Backtesting Validation: Leverage internal trading data to validate and improve backtesting engines, ensuring robust performance analysis. Collaborative Research: Work closely with fellow researchers to contribute to the overall development of trading strategies and methodologies Qualifications and Skills 2-8 years in Quant trading and Execution Research Strong background in market microstructure analysis, transaction cost analysis (TCA), and simulator design Proficient in Python; C++ knowledge is a plus Familiarity with utility function design, rules-based logic for order execution, and multi-period optimization preferred Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Physics) Crypto trading experience is a plus but not required