Enfint

The company operates as a software sports betting business based in London, developing systematic trading models within the quantitative sports betting sector. Задачи: Build and support systematic trading models working closely with quantitative researchers and engineers Design and sustain technical solutions that pragmatically address complex real-world business challenges Take on tasks, actively solve problems, and contribute to delivery Lead architecture decisions that align with company standards and ensure these are well understood across the team Collaborate with cross-functional teams, including developers, quants, and traders, to improve system effectiveness with a focus on flexibility, speed, and accuracy Work on Greenfield Python and Golang projects Требования: 3+ Years of experience in a Python Software Development role Significant part of childhood spent hacking away in 8-bit assembly language Python 3.10+, JavaScript, TypeScript, and Go RabbitMQ, Kafka, PostgreSQL, Redis, Linux servers, OpenTelemetry, Prometheus, Grafana, and Zabbix Nice to have: Interest in functional programming and its application in the real world Условия: Extremely lucrative salary and significant bonus Greenfield Python and Golang work, both challenging and rewarding Opportunities to progress Python and functional programming career

Описание Barclays is delivering a multi-year strategic transformation programme within its Subledger Accounting team to enhance financial reporting, accounting processes and regulatory compliance across the organisation. Задачи Identify and analyse business problems and client requirements that require organisational change Develop business requirements addressing business problems and opportunities Collaborate with stakeholders to ensure proposed solutions meet their needs and expectations Support the creation of business cases justifying investment in proposed solutions Conduct feasibility studies to determine the viability of proposed solutions Support project progress reporting to help deliver proposed solutions on time and within budget Create operational and process designs to ensure delivery within the agreed scope Support change management activities, including development of a traceability matrix Advise and influence decision-making and contribute to policy development Lead collaborative assignments and guide team members through structured assignments Identify new directions for assignments and projects and combine cross-functional methodologies or practices to achieve required outcomes Consult on complex issues and advise People Leaders on escalated issues Identify ways to mitigate risk and develop policies and procedures supporting control and governance Take ownership of managing risk and strengthening controls Collaborate with other areas to support business-aligned functions and keep up to speed with business activity and strategy Analyse complex data from multiple internal and external sources to solve problems creatively and effectively Communicate complex information Influence and convince stakeholders to achieve outcomes Требования Accounting background and Finance domain experience Experience in Business Analysis and requirements management Experience delivering change and transformation using Agile methodology Strategic thinking and problem-solving skills Ability to advise and influence decision-making Ability to lead collaborative assignments and guide team members Ability to analyse complex data from multiple sources Ability to communicate complex information Ability to influence stakeholders and achieve outcomes Nice to have: data analysis and lineage, data flows and architecture, people leadership and coaching Условия The role is based in Canary Wharf, London.

Enfint ищет инженера AI/ML для разработки продакшн-решений в Лондоне. Вы будете строить и развивать AI-фичи, улучшать рабочие процессы агентов, память и использование инструментов. Требуется опыт работы с современными LLM, RAG и оркестрацией моделей, а также развёртывание и эксплуатация продакшн ML-систем. Команда небольшая, есть equity-options и шанс повлиять на предзапуск продукта. Ожидается тесное взаимодействие с продуктом и инженерией.

Описание: The company is building a pre-launch AI assistant designed to streamline everyday tasks, conversations, and workflows. Задачи: Build and ship AI features from concept through to production Design and improve agent workflows, prompts, memory, and tool use Build reliable AI systems that solve real user problems Improve latency, reliability, and overall production performance Develop evaluation frameworks to measure real-world model quality Work closely with Product and Engineering to turn ambiguous problems into working software Требования: Commercial experience building production AI/ML applications Strong Python engineering skills Experience with modern LLMs and agentic AI systems Hands-on experience with RAG, vector databases, and LLM orchestration Experience deploying and operating production ML systems Comfort working across models, infrastructure, and product Условия: Equity options Opportunity to shape a pre-launch product Work with a small, high-calibre engineering team

Referment ищет инженера инфраструктуры для проектирования и эксплуатации гибридной инфраструктуры в AWS, Azure и локальной среде. Вы будете работать над безопасными и масштабируемыми платформами, улучшать мониторинг, реагирование на инциденты и совместно с командами сетей и разработки внедрять решения. Требуется опыт Linux, AWS/Azure, Terraform/Ansible и умение решать проблемы. Желателен опыт в финансовом секторе и готовность обучаться новым технологиям.

Описание: Referment is partnering with a quantitative investment firm where infrastructure is treated as a competitive advantage and engineers build and operate core technology platforms. Задачи Design, build and operate hybrid infrastructure across AWS, Azure and on-premise environments Design and improve cloud infrastructure across AWS and Azure Build secure, resilient and scalable platforms for production workloads Work on cloud networking, including routing, connectivity, DNS and hybrid infrastructure Automate infrastructure using Infrastructure-as-Code and scripting Drive improvements in monitoring, observability and incident response Own infrastructure lifecycle management, including upgrades, patching and resilience Work with networking, security and development teams to deliver practical engineering solutions Evaluate new technologies and help shape the platform's future technical direction. Требования Several years of experience in infrastructure or cloud engineering Strong Linux systems administration experience Good knowledge of AWS and/or Azure Experience with infrastructure automation using Terraform, Ansible or similar tools Solid networking fundamentals Experience supporting production infrastructure Python or other scripting experience A practical approach to troubleshooting and problem solving A can-do mentality, curiosity and willingness to learn new technologies Ability to take ownership and work across multiple infrastructure areas Ability to solve problems collaboratively and understand how the business works Nice to have: experience within financial services. Условия No conditions specified

UBDS Group is seeking an expert to design and develop AI-powered business solutions for enterprise customers in the UK. You will build AI assistants, copilots, and intelligent workflows while developing retrieval and knowledge management capabilities. The role focuses on secure, scalable cloud-native applications and integration with diverse enterprise systems. Applicants should have strong experience in Azure AI, Generative AI, data engineering, and full stack development, plus familiarity with

The Guardian is seeking an experienced Android developer to build and test major features for its Android apps, while improving existing functionality. You will collaborate with iOS, server-side, web engineering, design, product, editorial, and commercial teams, and take a leadership role in some projects. You will guide other developers, contribute to product and technical decisions, and explore innovative solutions during hack days.

Pleo ищет квалифицированного инженера backend для проектирования и эксплуатации ключевых компонентов GenAI платформы. Ваша роль включает разработку маршрутов LLM, векторного поиска, RAG инфраструктуры и инструментов для безопасной разработки. Вы будете владеть функционалом на продакшн и работать с командами Applied AI и продуктом, обеспечивая высокую устойчивость и качество сервисов. Требуется опыт разработки и эксплуатации продакшн сервисов, знание JVM языков или Python, а также умение работать

Описание: The Guardian is a global organisation that delivers investigative journalism and holds power to account. It develops digital products, including award-winning Android apps focused on providing fast and stable user experiences. Задачи: Build and test major new features for The Guardian's Android apps Improve and maintain existing app functionality Collaborate through pair programming and with stakeholders across iOS, server-side, web engineering, design, product, editorial, and commercial teams Take a leadership role in some team projects Guide and support other developers in their growth Contribute to product and technical decisions Explore innovative solutions and participate in regular hack days Требования: Demonstrated expertise in Android development Strong competence in one or more modern Android development tools, including Jetpack Compose, Coroutines/Flow, MVVM, Webviews, other Jetpack libraries, and modular app architectures Ability to test code and promote a culture of testing Experience with JVM unit testing, instrumented testing, and UI regression testing Comfortable working with cutting-edge technologies and legacy code Experience in, or willingness to take on, a leadership role in team projects Rough understanding of iOS development and interest in learning more Nice to have: familiarity with Swift and ObjectiveC for iOS, Scala and Typescript for server-side development Условия: £82,000 Per year One office day per week in Kings Cross and four remote days 30 Days of annual leave plus bank holidays, with the option to purchase five additional days Pension contributions of 8-12% when contributing 5%, depending on age Two paid volunteering days annually and payroll giving Season ticket loans Private healthcare, life cover, income protection, eye tests, and optional dental insurance Enhanced maternity, paternity, adoption, and shared parental leave policies IVF, menopause, baby loss, and trans equality policies Employee benefits platform with health and wellbeing support Free yoga and pilates classes, corporate gym membership, and cycle to work scheme Canteen providing breakfast, lunch, and dinner Support for professional qualifications, vocational courses, and apprenticeships The application includes a mandatory Android development question expected to take no longer than five minutes.

Описание: Пleo builds spend management solutions that help finance teams and employees manage business spending more seamlessly and effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features from design through rollout, monitoring, and follow-up; Contribute to resilient system design with sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management; Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements; Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered features safely; Build internal SDKs, templates, and guardrails for product engineers; Support other engineers through pairing, code reviews, technical feedback, and clear documentation; Help evaluate build-versus-buy decisions in the LLMOps tooling landscape; Develop a clear picture of how AI features are built at Pleo and identify infrastructure bottlenecks; Take ownership of a core platform component and improve its reliability, observability, or developer experience; Deliver production-ready improvements with rollout plans, monitoring, and operational documentation; Partner with Applied AI Engineers and product teams to identify platform investments; Contribute to Pleo's internal standards for AI feature development, quality evaluation, prompt management, and production monitoring. Требования: Strong backend and systems engineering background with experience building and operating production services with reliability and observability requirements; Experience designing and delivering shared platform or infrastructure components used by multiple teams; Strong production ownership, including monitoring, alerting, incident response, debugging, and post-incident learning; Knowledge of distributed systems fundamentals, including asynchronous workflows, idempotency, consistency trade-offs, and designing for failure; Hands-on experience with LLM APIs or strong interest in learning about rate limits, context windows, multi-vendor routing, latency variance, and cost control; Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage, and safe credential handling; Strong programming experience in a JVM-based language or Python, with the ability to contribute to Kotlin and Python components; Clear communication and collaboration skills for turning ambiguous platform needs into practical solutions; Passion for developer experience and enabling engineering teams; Deep understanding of LLMOps, data retrieval, prompt and context engineering, and model evaluation in production; Ability to work across languages and technologies to achieve goals; Ability to explain AI trade-offs clearly to non-technical stakeholders; Proven experience building platforms or tooling for agentic AI; Ability to work fully autonomously on an entire product feature from design to implementation; Candidates primarily interested in model research or algorithm development are not a fit; Candidates who prefer building customer-facing features are not a fit. Условия: Remote, hybrid, or in-person work options are available depending on the location; The employee must be physically based in the chosen country with a valid right to work; Visa sponsorship is not available; Pleo card provided; Catered meals or a lunch allowance is available for work days; Comprehensive private healthcare is provided depending on location; 25 Days of holiday plus public holidays; Free mental health and well-being support through MyndUp; Paid parental leave; The interview process includes an intro call, technical screening, system design interview, live coding interview, Hiring Manager interview, and final leadership interview;

Описание: Teza Technologies operates in the capital markets industry and develops a real-time, low-latency trading platform covering market data, order management, exchange connectivity, and execution infrastructure. Задачи: Design, develop, and support core components of the real-time trading platform, including market data, order management, exchange connectivity, and execution infrastructure; Troubleshoot and resolve production issues across a globally distributed trading infrastructure; Develop and maintain Java and C++ trading systems. Требования: 2+ Years of experience in a front-office trading environment building low-latency systems using Core Java; Bachelor's or Master's degree in Computer Science or a related field; Experience with network programming using TCP and UDP and with binary protocols; Experience with Unix/Linux development; Experience with multithreading and lock-free data structures; Experience with some of the following: Market Data, Order Management System, FIX, Algo Trading, Smart Order Router, DMA, and ITCH; Ability to work in a fast-paced, dynamic environment; Nice to have: C++, Python for tooling, analytics, or data pipelines, Grid Computing / Big Data, databases such as SQL, MongoDB, or Redis, cloud infrastructure such as AWS. Условия: Competitive compensation; Health, vision, and dental insurance; Flexible sick time policy.

Enfint ищет специалиста по производительности для управления и улучшения производительности в распределенной финтех-системе. Вы будете проектировать нагрузочные тесты, внедрять практики производительности и работать с командой для устранения узких мест. Кандидат должен иметь опыт в тестировании производительности, владение k6, мониторингом в Datadog/Grafana/CloudWatch, и знание TypeScript. Опыт в финтехе будет преимуществом. Вакансия предполагает работу в Лондоне в команде по разработке.

Enfint в Лондоне ищет разработчика Python/Django для работы над AI SaaS платформой. Вакансия предполагает создание новых функций, проектирование RESTful API и обработку больших наборов данных. Требуется опыт 5+ лет разработки продукции на Python, 2+ года Django, знание Postgres/SQL, CI/CD с GitHub/Jenkins/Docker/Terraform и AWS. Конкурентное вознаграждение и развитая система обучения ожидают потенциального сотрудника.

Описание: The company operates a series-funded AI SaaS platform based in London. Задачи Build new features for an AI product; Design and build RESTful APIs; Handle, analyze, and process large datasets; Write clean, robust, and well-tested code; Collaborate with cross-functional teams. Требования Degree in Computer Science, Software Engineering, or similar; 5+ Years of experience in developing industry productionized applications using Python; 2+ Years of Django experience; Proficiency in Postgres/SQL; Experience building CI/CD pipelines using GitHub, Jenkins, Docker, and Terraform; Experience with AWS; Excellent communication skills, problem-solving abilities, and team-oriented mindset. Условия Salary in the region of £50,000 - £75,000 per year Access to a learning and development platform and support Clear career progression opportunities Strong benefits package

Описание A well-funded healthtech platform builds a next-generation healthcare solution that bridges user needs with technical capabilities to improve health outcomes for a diverse user base. Задачи Own the end-to-end product roadmap across multiple swim lanes Deliver features from PRD to execution Collaborate cross-functionally with engineering, design, sales, and clinical stakeholders Utilize advanced product analytics to translate complex user behavior and market trends into actionable strategies Manage the product lifecycle from initial concept to delivery. Требования 5-8 Years of PM experience in B2C technology Proven track record of scaling digital products in fast-paced, high-growth startup environments Strong eye for UX/UI design Proficiency in analytics tools like Mixpanel or Google Analytics Nice to have: Experience in healthcare, e-commerce, or platform sectors Условия No conditions specified

Enfint ищет руководителя продукта для масштабирования решений в сфере здравоохранения в рамках B2C направления. Вы будете отвечать за создание и реализацию дорожной карты, работать с инженерами, дизайнерами и клиническими стейкхолдерами, а также переводить анализ поведения пользователей в практические стратегии. Требуется 5-8 лет опыта PM, умение работать с аналитикой (Mixpanel, Google Analytics) и сильное внимание к UX/UI. Приветствуется опыт в healthtech, электронной коммерции или платформах.

Enfint приглашает инженера по машинному обучению для разработки и внедрения передовых решений в области компьютерного зрения и ИИ. Ваша работа охватит обучение, оптимизацию и развёртывание моделей в условиях ограниченных edge-устройств, а также совместные проекты с межфункциональными командами. Требуется подтверждённый опыт, владение Python и умение работать как в одиночку, так и в команде. Опыт в кросс-платформенной среде и знание современных ML-методик приветствуются.

Описание: The company is a leading technology innovator focused on developing cutting-edge AI and machine learning solutions for various industries. Задачи: Develop, train, and optimise advanced computer vision and machine learning systems Deploy solutions in constrained edge environments Collaborate with cross-functional teams on project delivery Contribute to the full lifecycle of machine learning model development. Требования: Proven experience as a Machine Learning Engineer Expertise in computer vision and machine learning techniques Experience with deploying models in edge environments Strong programming skills in relevant languages (e.g., Python) Ability to work independently and as part of a team Nice to have:. Условия: Opportunity to work on innovative and impactful projects Contribute to the cutting-edge of AI technology Collaborative and dynamic work environment

Enfint ищет дизайнера продукта с опытом создания сложных цифровых решений в SaaS и AI. Вы будете вести дизайн от исследования до реализации, превращая сложные AI-процессы в понятные пользовательские интерфейсы и влиять на стратегию продукта в быстрорастущей компании. Требуется портфолио, знание Figma и Design Systems; релокационная поддержка предлагается, зарплата до £80,000 в год. Готовность работать в Великобритании и в Лондоне приветствуется.