Tooling engineer jobs in LondonCrear alertas

Senior Backend Python Engineer – London. Shape backend engineering culture, tooling, and processes as the team scales. Early-career engineers or first startup role.

Mobile Engineer (React Native) A successful online platform that help people save money are looking for a mobile engineer to join them! Working with React Native you would contribute to their online platform that is used by over 8 million people a month. You would be creating new product experiences whilst delivering high quality code. 💻Tech stack: React Native, Typescript, JavaScript 📍London Hybrid, 1 day a month onsite 💸Salary up to £87k What do you need? • Experience in React Native/ Typescript/ JavaScript, • Good understanding of React rendering characteristics, • Experience with modern tooling- Expo, CI/CD, monorepo management, • Expereince with modern infrastructure- Docker, Kubernetes, cloud services What can they offer you? • Private medical insurance, • Pension contribution up to 8%, • Weekly time for personal development, • Free lunch on office days, • Great career progression opportunities, • Many more benefits! Please apply if you would like to learn more! Please note- This position can not currently support visas, you must have right to work in the UK to apply.

AI Software Consultant | London (Once a month onsite) | £80,000 - £95,000 We’re working with a digital delivery business that connects organisations with high-quality near- and offshore development teams. As AI becomes core to modern software delivery, they’re hiring an AI Partner with a strong software engineering background to shape how AI capability is assessed, embedded, and scaled across their partner network. This role is for a hands-on engineer, not a theorist, who can evaluate real-world AI systems, review code and architectures, and build internal tools that improve how partners are vetted and matched to client work. What You’ll Do • Identify and onboard AI-capable development agencies with proven engineering depth, • Technically vet partners through code reviews, architecture discussions, and solution assessments, • Own and evolve an AI maturity model grounded in real software delivery experience, • Act as a technical authority for sales and delivery teams on AI-led projects, • Build internal AI automations and tooling using APIs, scripts, or no/low-code platforms What We’re Looking For • Extensive experience as a software engineer (backend or full-stack preferred), • Proven hands-on experience with AI tools (e.g. building GPT-based apps, using LangChain, or integrating APIs)., • Strong understanding of software architecture, systems design, and delivery trade-offs, • Experience working with digital agencies, consultancies, or delivery partners, • Pre-sales experience or exposure to client-facing technical roles is a big bonus What's in it for you: 💰Salary: £80,000-£95,000 📍Location: London - Once a month onsite 📈Autonomous position with huge development opportunities

Senior Software Engineer Full Stack - Ruby on Rails, React Up to £120k DOE Fully Remote - must be UK based A fast-growing sports tech company building high-performance, data-driven products for a rapidly expanding global audience is searching for a Senior Full Stack Engineer. This is a pivotal role for an experienced engineer who thrives on shaping architecture, driving technical direction, and still remaining hands-on in the codebase. As a technical leader within a cross-functional Product Team, you’ll influence the long-term engineering strategy, guide architectural decisions, and ensure the platform scales reliably as our user base grows. You’ll act as a role model for engineering excellence - mentoring others, elevating standards, and collaborating closely with Product, Design, and Customer Success to build tools our customers truly value. Tech Stack: Ruby on Rails, React, React Native, GraphQL What You’ll Be Leading & Doing • Drive architectural design, long-term technical vision, and scalable system patterns, • Lead complex fullstack development across Rails and React/React Native, • Own technical quality - setting engineering standards, reviewing code, and ensuring maintainability, • Guide the team through key scaling challenges across performance, reliability, and modularity, • Mentor and coach engineers, fostering a culture of learning and high performance, • Work closely with stakeholders and users to translate real-world needs into elegant, robust solutions, • Influence and improve engineering practices, tooling, CI/CD, and operational excellence, • Remain hands-on, contributing significant code while unblocking and supporting the team What We’re Looking For • Extensive experience with Ruby on Rails or similar backend frameworks at scale, • Strong expertise with React and/or React Native, • Experience designing scalable architectures, APIs, and distributed systems, • GraphQL knowledge – highly beneficial, • Excellent communication and leadership skills; able to influence without ego, • Proven ability to guide teams, mentor others, and drive engineering quality, • Someone proactive, independent, and comfortable making high-impact technical decisions, • Thrives in a fast-paced, product-driven environment and enjoys working closely with customers We’re proud to be an equal opportunities employer and encourage applications from all backgrounds.

Golang Engineer A fast-growing London-based software company building highly scalable, cloud-native platforms used by thousands of customers worldwide seek a Golang Engineer to help scale the next generation of distributed systems. The engineering culture values clean code, ownership, collaboration, and continuous improvement. The Role You’ll be working on high-performance backend services and infrastructure powering mission-critical systems. You’ll have real influence over technical direction, architecture, and tooling, while collaborating closely with product, SRE, and platform teams. What You’ll Be Doing • Designing and building scalable Microservices in Go, • Developing and maintaining cloud-native applications running on Kubernetes, • Building APIs, internal tooling, and background processing systems, • Improving performance, reliability, and security of production services, • Contributing to architectural decisions and best practices, • Writing clean, well-tested, and well-documented code What We’re Looking For • Strong commercial experience with Go (Golang), • Hands-on experience deploying and operating workloads in Kubernetes, • Solid understanding of microservices architecture and REST/gRPC APIs, • Experience with cloud platforms (AWS, GCP, or Azure), • Comfortable with CI/CD pipelines and infrastructure-as-code, • A proactive, collaborative mindset Nice to Have • Experience with Helm, Terraform, Prometheus, or Grafana, • Knowledge of service meshes, event-driven systems, or Kafka, • Previous experience in high-scale or SaaS environments What We Offer • £100-£120k base + equity, • Once every other week in the office, the rest is WFH, • A supportive, engineering-first culture where your ideas matter

Role: Senior Product Engineer Location: London - Hybrid (1-2 days) Compensation: Up to £140,000 + equity We’re working with a mission-driven technology company using AI to solve some of society’s toughest challenges. As a Senior Product Engineer, you’ll take ownership of one of their core AI products, leading a small, talented engineering team while staying hands-on with code. You’ll shape architecture, mentor engineers, and work closely with product and design teams to deliver meaningful, high-impact features used daily by people improving lives across the UK. What you’ll do • Lead a product engineering team building AI-powered tools that make a measurable social impact., • Spend around 60% of your time coding, across backend, frontend, and infrastructure., • Design scalable systems and technical architecture for rapidly evolving AI products., • Collaborate with cross-functional teams — product, design, data, and AI — to ship impactful features., • Explore and integrate the latest advancements in large language models and generative AI., • Help build a strong, values-led engineering culture grounded in curiosity, pragmatism, and purpose. You should have • Experience leading or mentoring software engineers., • Solid background across the full stack (Ruby, Go, Python, Typescript), • Strong grasp of system design, data structures, and scalable architectures., • Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling., • A product-focused mindset and passion for solving real-world problems through technology. Why it’s exciting • Work at the intersection of AI innovation and social good, building tools that directly improve people’s lives., • Shape the future of rapidly growing AI products used by thousands every day., • Collaborate with exceptional engineers, designers, and product leaders who care deeply about purpose and performance., • High autonomy, real ownership, and the opportunity to lead engineering in a mission-driven environment. f you’re excited by the idea of using world-class engineering and AI to solve real social challenges — building products that help people on the frontlines change lives every day — we’d love to hear from you.

Affinity Labs: Founding Engineer (Backend) Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to thousands of users at launch, and compound impact across multiple product, not just one. Role Description You’ll lead end-to-end backend development across our products: scoping services, designing data models and APIs, building, testing, shipping, and iterating in tight cycles. This is an early-stage, hands-on role with significant autonomy and responsibility to drive backend product development, collaborating closely with founders, creators, and product/design to turn lean specs into reliable, scalable services. Responsibilities • Implement features end-to-end on the backend (APIs → data models → integrations) and maintain quality while moving fast., • Run tight build, test, iterate, ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically; record key decisions as lightweight ADRs/notes in the tooling., • Participate in daily standups and weekly planning, contribute to technical strategy & execute from Linear tickets., • Contribute to architecture and product discussions; be heard in debate, align to unified decisions., • Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements • 3-6+ years building production backends/services, with shipped work and clear ownership., • Strong Python (FastAPI) and database skills (PostgreSQL/MongoDB); solid API design fundamentals., • Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and common queue/messaging patterns., • Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; lean on your experience to guide product decisions., • Evidence of shipping quickly in small teams (links to repos, case studies, or live services). Desired • Node.js alongside Python for services or integrations., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs)., • Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job – Machine Learning Engineer We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities • Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems., • Collaborate with research engineers to translate experimental models into reliable, maintainable software., • Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs)., • Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness., • Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting., • 3–5+ years building and maintaining ML systems in production environments, • BSc or MSc in Computer Science, Software Engineering, or a related field, • Strong software engineering skills: clean code, testing, debugging, version control, and system design, • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX), • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes), • Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar), • Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt, • Familiarity with recommender systems, transformers, or graph neural networks, • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

My client is seeking an experienced Cloud Security Engineer to help design, implement, and operate security controls across our cloud environments, with a strong emphasis on Google Cloud Platform (GCP). This role is hands-on and technical, focused on automation, identity management, and maintaining a strong security posture at scale. Key Requirements • Cloud Platforms: Deep expertise in Google Cloud Platform (GCP); exposure to AWS and Azure is a plus., • Infrastructure as Code: Strong experience using Terraform to automate and enforce cloud infrastructure and security guardrails., • Programming & Scripting: Proficiency in Python (primary) and Bash for automation, tooling, and security workflows., • Security Controls: Design, implement, and manage security controls across deployed cloud systems., • Security Posture Management: Continuously assess cloud infrastructure, perform security reviews, and improve overall security posture., • Identity & Access Management: Deep hands-on expertise in IAM, including organizational policies, security controls, and workload identity in GCP. Apply now for immediate consideration.

Senior Security Engineer Salary: £130-140k + 20-40% Bonus Location: London (Hybrid working – 2-3 days in office per week) I’m currently working with one of the most innovative, tech-driven Quant Finance firms who are looking to bring in a Senior Security Engineer to work directly alongside their newly appointed Head of Security Engineering and lead in the build-out of their cloud-native Infrastructure capability. Highly technical position where you will be responsible for not just assessing and threat modelling novel concepts and services to introduce across Security and the wider Tech functions; but leading in the actual design, configuration and implementation. Previous experience in Software Security / Cloud Security Engineering capacity with the ability to comfortably read, write and script in Python will be essential as an in-depth knowledge of deploying Infrastructure as Code, Containers, CI/CD concepts and policy as code will be a minimum requirement. This is genuinely an incredible opportunity to build something truly innovative, with the backing of one of the most respected leaders in Security, as well as an incredibly forward-thinking wider Tech division. You have the chance to put your stamp on one of the most ambitious Tech Transformations for one of the most renowned Quant Finance firms in the UK. Responsibilities • Perform hands-on security threat modelling, risk assessment and vulnerability remediation., • Evaluate, architect, implement and support security focused tools and services., • Work closely with Development teams to ensure security and privacy are built in by design, automating tasks wherever possible., • Promote a security focused culture across the organization. Requirements • Significant experience working as a Cloud Security Engineer in DevSecOps environments with an in-depth knowledge of Infrastructure as Code (Terraform), Containers and CI/CD concepts., • Significant knowledge of AWS and implementing AWS Well Architected Security pillar., • Breadth of knowledge of cloud-based IAM/PAM and authentication concepts., • Strong proficiency in coding/scripting/development languages – Python, Terraform, Java ideally, • Experience building and fine-tuning security tooling to be deployed in cloud environments.

Junior DevOps Engineer | On-site in London | AWS, Kubernetes, Terraform, Python | £70K + Benefits Overview A fast-growing enterprise SaaS company is hiring Junior DevOps Engineers to support the deployment of a cloud-based platform used by large, global organisations. The role focuses on delivering secure, automated deployments into customer cloud environments while improving internal DevOps tooling and infrastructure. Core Technical Requirements • Experience with customer-facing cloud deployments, • Strong understanding of modern cloud applications and infrastructure, • Cloud platforms: AWS and Azure, • Kubernetes, Terraform, Python, • Solid software engineering background with ability to code, • Strong computer science fundamentals Role Details & Requirements: • 5 Days p/ week in London, • Paying £70K, • Ideally looking for 1-3 years experience, • Must've been to a Russell Group (or Ivy League) University Junior DevOps Engineer | On-site in London | AWS, Kubernetes, Terraform, Python | £70K + Benefits

London or Manchester (Hybrid) | £50,000 – £80,000 + Equity About us At the forefront of using investment portfolios as security for access to credit, Firenze is emerging as the category defining leader in what is known as “Lombard lending”. We already work with some of the UK’s leading wealth management firms to unlock access to what has historically only been available to UHNW clients of private banks. Backed by top tier investors, Firenze is now scaling the team to continue to ensure our credit infrastructure is underpinned by innovation, cutting-edge technology, and an unwavering commitment to driving client outcomes. Role Overview As a Full Stack Software Engineer, you’ll design, build, and deliver customer-facing features across our greenfield platform. You’ll work end-to-end—crafting TypeScript frontends and robust Java back-ends—while learning from experienced engineers and contributing to a modern, scalable architecture. This is a hands-on role with plenty of opportunity to develop your technical depth, gain exposure to DevOps, cloud, and observability practices, and help define how we build software at Firenze. With no legacy systems, you’ll be shaping our platform from the ground up and growing alongside a team that values mentorship, learning, and engineering excellence. Key Responsibilities • Feature Delivery: Collaborate with senior engineers to deliver new features from design to production., • Back-End Engineering (Java): Build APIs and microservices using Java (Spring Boot, Micronaut, or Quarkus), with guidance on best practices for performance and reliability., • Front-End Engineering (TypeScript – Nuxt/Vue): Develop responsive, accessible UIs with strong component and state management., • Data & Integration: Work with PostgreSQL, caching (Redis), and messaging (Kafka/SQS) — learning how to design resilient data flows., • Quality & Testing: Contribute to our testing culture (JUnit, Playwright, CI pipelines) and learn how to scale reliable delivery., • Performance & Observability: Gain hands-on experience with monitoring tools and learn how to build observable systems from day one., • Documentation & Developer Experience: Help create clear technical docs and reusable tooling that makes development smoother for everyone., • Cross-Functional Collaboration: Partner with product, design, and experienced engineers to break down work, estimate effectively, and deliver iteratively. Requirements • Experience: 3+ years of professional software engineering, including full-stack work on production systems (fintech or startup experience a plus)., • Java Proficiency: Hands-on experience building APIs/microservices in modern Java (Spring Boot or similar)., • TypeScript & Vue: Solid experience developing production-grade web apps with TypeScript and Vue/Nuxt., • Web Fundamentals: Good grasp of HTML/CSS, accessibility (WCAG), and secure web app design., • Databases & Messaging: Familiarity with PostgreSQL and at least one of Redis, Kafka, or SQS., • Testing Mindset: Comfortable writing and running tests; familiar with CI pipelines (GitHub Actions, GitLab CI)., • Cloud & Containers: Exposure to AWS or another cloud platform and Docker. (Kubernetes or ECS a plus.), • Growth Mindset: Curiosity to learn new technologies, seek feedback, and develop alongside experienced teammates. Bonus Skills • Interest in event-driven or distributed systems (Kafka, RabbitMQ, SQS)., • Exposure to DDD, CQRS, or hexagonal architectures., • Experience with observability tools (OpenTelemetry, Prometheus, Grafana)., • Familiarity with multi-tenant SaaS, RBAC, or performance tuning (JVM, SQL). Why Join Us? • Learn from experienced engineers: Work side-by-side with senior teammates who value teaching, pair programming, and open design discussions., • Accelerate your growth: Gain exposure to architecture, DevOps, security, and observability while contributing to production systems early on., • Impact: Shape a greenfield fintech platform with real business influence and visibility., • Collaboration: Join a supportive, high-performing team that values curiosity, innovation, and shared ownership., • Career Development: Clear progression opportunities as Firenze scales — move towards senior or specialist roles with mentorship and hands-on experience., • Competitive Salary (£50,000-£80,000) depending on experience, plus equity participation. You’ll be part of a hybrid team based in London or Manchester, combining the best of in-person collaboration with the flexibility of remote work. You’ll join a culture that values continuous learning, feedback, and building things the right way — not the fast way.

Founding Engineer – Full-Stack / AI / Early-Stage Startup Location: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE) A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production. They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment. The Role You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What You’ll Be Doing Product Architecture and Delivery • Translate project briefs and product designs into technical architecture and implementation plans., • Own features end-to-end across backend and frontend through to production release., • Contribute to system design decisions as the platform scales. AI and Intelligent Workflows • Build AI-driven features including agent-based workflows and embedding-driven matching systems., • Experiment with LLM-powered tools and apply them to real production use cases., • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems., • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution., • Explore new approaches in automation, search, and data enrichment. Deployment and Engineering Excellence • Improve and maintain CI/CD pipelines to enable fast, reliable releases., • Contribute to cloud deployments and operational stability., • Promote engineering best practices across testing, monitoring, and code quality. Experimentation and Innovation • Run technical experiments in data engineering, infrastructure, and AI., • Prototype and validate new technologies before moving them into production., • Continuously improve developer experience and delivery velocity. Ownership and Collaboration • Operate across the full technical stack in a high-autonomy environment., • Collaborate closely with product and business stakeholders., • Take responsibility for delivery quality and system performance. Core Experience • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact., • Strong commercial experience with TypeScript and Node.js., • Experience delivering production features across backend and frontend systems. Mindset and Attributes • Comfortable operating in ambiguous, fast-moving environments., • Highly organised, proactive, and delivery focused., • Strong problem-solving skills and appetite for learning., • Excited about applying AI and LLM-powered tools to real-world workflows., • Thrives with autonomy and responsibility. Bonus Experience • Exposure to AWS serverless or event-driven architectures., • Mobile development experience (e.g., Flutter). Benefits • Flexible hybrid working model, • Generous Equity, • High ownership and autonomy, • Opportunity to influence architecture and product direction, • Fast learning environment with exposure to AI and modern cloud tooling, • Competitive compensation and early-stage growth opportunity Interview Process • Short introductory call, • In-person technical challenge and interview, • Culture and values interview

Lead GenAI Engineer - Generative AI 💼 Hybrid London (1–2 days/week onsite) 💰 Up to £140k + Equity + Benefits We’re hiring a Lead GenAI Engineer within a high-growth fintech/data intelligence scaleup. This is a hybrid role that combines hands-on technical expertise with line management and team development. You will mentor a young, high-performing engineering group while driving the architecture, delivery, and evolution of our GenAI-powered products. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features. Key Responsibilities Leadership & Team Development • Manage and grow a small team of AI Engineers (starting with 2–3, scaling to ~5)., • Act as a player–coach, remaining hands-on while mentoring, unblocking, and developing engineers., • Lead architecture and development of LLM-powered and agentic applications, including RAG systems, chat/workflow agents, and domain-specific AI services., • Drive technical direction with sound judgement and pragmatic decision-making., • Build and deploy production-grade GenAI systems end to end: prototyping → integration → deployment → monitoring., • Work closely with backend, frontend, and product engineering teams to integrate GenAI capabilities. Key Requirements • Demonstrated line management experience leading small teams (2–5 engineers)., • LLMs & transformer-based models, • Agentic frameworks (e.g., LangChain, LangGraph), • Retrieval-Augmented Generation (RAG), • Python, • Building or integrating LLMs into products or workflows, • Working with GenAI frameworks and tooling, • Designing or optimising prompt pipelines, • Deploying or supporting GenAI features in production, • Comfortable balancing leadership responsibilities with hands-on engineering early on., • Experience building agentic workflows, multi-agent systems, or autonomous LLM tools., • Fintech domain exposure (not essential). This position do not provide visa sponsorship and require existing right to work in the UK. Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful. If your skillset matched, please apply within.

Position: Full Stack Engineer Location: London, 4 to 5 days per week on site Compensation: Competitive salary and equity, depending on experience Reports to: Head of Engineering About Navys Navys is a venture backed legal technology company building enterprise workflow software for private capital markets. The platform replaces manual, email driven legal processes with a structured system that enables funds lawyers, GPs and LPs to execute complex transactions more efficiently. Navys is focused on real legal workflows, not generic AI tools or document summarisation, and is designed to support production grade, enterprise use cases. Navys is building core infrastructure for how funds legal work is done, with a strong emphasis on execution, clarity and real world impact. Role Summary Navys is seeking an ambitious Full Stack Engineer to join the team on a full time basis. This is a hands on engineering role focused on building and shipping core platform functionality across the full stack. You will play a foundational role in building core platform components, scaling infrastructure, and collaborating closely with engineering, product and legal teams to bring a category defining product to life. This is not a narrow or isolated engineering role. It requires ownership, comfort with ambiguity, and the ability to take responsibility for features from early design through to production. Responsibilities Product Delivery and Execution • Design, build and ship full stack features from backend services and APIs in Python through to modern, performant user interfaces in TypeScript using React, • Translate complex legal and operational requirements into clear, intuitive product functionality, • Take ownership of features from concept through to production release Platform and Infrastructure • Develop and maintain cloud infrastructure with a strong focus on Azure, • Ensure the full stack from database to frontend is secure, maintainable and scalable, • Contribute to the reliability and performance of the platform as usage grows Engineering Contribution and Collaboration • Influence technical architecture decisions and help define engineering best practices as the team grows, • Work closely with the Head of Engineering and Product to align technical execution with product priorities, • Collaborate effectively across engineering, product and legal domain experts Candidate Profile Essential Requirements • Fluent in Python and strong in TypeScript, with both used in production systems, • Solid experience building scalable APIs and backend services, • Experience building modern single page applications, • Familiarity with at least one major frontend framework, with React preferred and Vue acceptable, • Deep understanding of at least one major cloud platform, with Azure preferred and AWS acceptable, • Knowledge of relational databases and data modelling, • Strong problem solving and analytical skills, • Strong communication and collaboration abilities, • Comfortable operating in a fast paced, early stage start up environment Desirable Requirements • Experience with infrastructure as code such as Terraform or Bicep, • Familiarity with Azure services including Azure Functions, Azure SQL, Key Vault and Blob Storage, • Exposure to AI or LLM based tooling such as OpenAI, Azure AI or LangChain, • Experience in legal tech, fintech or another highly regulated domain What Navys Offers • Competitive salary plus meaningful equity at an early stage, • A foundational engineering role with real ownership and impact, • Direct influence on how the platform is built and scaled, • Opportunity to take on increasing responsibility as the engineering team grows Equal Opportunity Employer We are committed to fostering a diverse and inclusive workplace. As an equal opportunity employer, we do not discriminate on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage or civil partnership, pregnancy or maternity, or sexual orientation. All qualified applicants will receive consideration based on individual merit and business needs.

Full Stack Engineer – New Launch Hedge Fund (L/S Equity) Location: London Type: Full-time (5 days per week on-site in Victoria) A newly launched fundamentally driven long/short equity hedge fund, focused on the European Industrials sector, is seeking a talented Engineer to join its growing London-based team. The firm, currently composed of senior professionals from top-tier hedge funds including Citadel, DE Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll play a key role in shaping the fund’s research and tooling platform from inception. Responsibilities: • Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems., • Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces., • Integrate frontend components with Python-based backend services and APIs., • Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: • 1–7 years of professional software engineering experience., • Strong academic background from a leading university., • Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools., • Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask)., • No sponsorship available – candidates must have the right to work in the UK.

Leading Investment Bank - Software Developer - Finance Technology We’re hiring a Software Developer to join a Greenfield, next-generation Regulatory Technology platform within a leading global investment bank. This role sits within the Finance Technology – Regulatory Reporting organisation, focused on building and evolving a critical regulatory reporting platform used globally. While the platform is built around Axiom, prior Axiom experience is not required. We’re looking for strong engineers who are keen to learn a new, specialist technology and grow their skillset within a complex, high-impact environment. Full training on Axiom will be provided. You’ll work closely with international engineering teams, contributing to platform development, automation, and infrastructure, while helping drive modern engineering practices across a mission-critical system. What You’ll Do • Build and support a Greenfield, next-generation regulatory reporting platform, • Develop and maintain backend services, tooling, and automation supporting regulatory processing, • Implement platform upgrades, releases, and security patches across global environments, • Coordinate testing cycles with engineering and delivery teams, • Expand CI/CD, test-driven development, and release automation practices, • Contribute to architectural decisions, standardisation, and platform design, • Support a high-availability, business-critical regulatory reporting system Skills & Experience • 2–5 years’ experience as a Software Developer or Engineer, • Strong Python development skills, • Solid Linux / Shell scripting experience, • Database development experience (Sybase or other relational databases), • Understanding of application infrastructure and system architecture, • Experience designing and building web-based applications, • Background working in large-scale, enterprise environments Nice to Have • Interest in regulatory systems, financial platforms, or enterprise technology, • Exposure to CI/CD tooling (e.g. Jenkins) and Agile delivery methodologies, • Strong SQL and ETL knowledge, • Experience with database performance analysis and tuning, • Axiom experience is a plus, but not essential – full training provided This is an excellent opportunity for engineers looking to learn a niche, in-demand technology, work on a next-generation platform, and develop their career within one of the world’s leading investment banks.

JMC Aviation are working with an airline based in London, looking to recruit a new B1 Licensed Engineer to join their team. This client is an aircraft maintenance subsidiary which provides support services such as fleet maintenance, cabin interior conversions and general ramp maintenance work for both their own fleet and other airlines. This vacancy is available due to business turnovers. This is a Permanent Position based in London. 5/5/4 mixed shift pattern, working 12 hour shifts. Salary and Benefits • Competitive salary, • Sign on bonus, • 34 days annual leave entitlement inclusive of bank holidays, • Staff travel benefits, • Private Medical Insurance!, • 6% employer pension contribution, • Company sick pay, • Salary sacrifice schemes, • Electric vehicle scheme, • Cycle to work scheme, • Health cash plan, • Gym and retail discounts, • Employee assistance programme, • Referral scheme The Role The primary purpose of this role is to carry out line maintenance on company aircraft including scheduled/unscheduled maintenance and defect rectification in accordance with company, manufacturer and CAA procedures and legislation. Other Duties Involve • Carry out scheduled/unscheduled maintenance and defect rectification on company aircraft, • Maintain the highest airworthiness, quality, safety and performance standards to ensure all company and legal requirements appertaining to aircraft maintenance and inspection are complied with, • Exercise fully the privileges of the company authorisations held, • Support company charters and the recovery of AOG and casualty aircraft as required across the company network, • Work to the required company and health & safety standards, • Carry out or arrange for the maintenance and/or repair of company tooling, equipment and vehicles, • Build and maintain good relationships with key stakeholders, • Complete and maintain compliance with all company training requirements required to carry out the role, • Support Supervisors and Managers with any required projects In order to be successful in this role the B1 Licensed Engineer will need to demonstrate the following skills and attributes • UK CAA Part 66 B1 licence with at least one type rating held (type courses available), • Experience with both scheduled and unscheduled line maintenance, • Ability to hold an airport restricted pass and hold an airside driving permit If you think this is the role for you and you have the necessary skills and attributes, please apply today or contact JMC Aviation for more details. Please note that due to the high level of applicants we will only be contacting shortlisted candidates regarding this role. For this opportunity JMC Aviation Ltd is acting as an employment agency. In applying for the above position and sharing your personal data with JMC Aviation Limited, you acknowledge that your personal data will be processed in accordance with our Privacy Policy (found on our website).

Implementation Engineer – FinTech / Data / SaaS Location: London (Hybrid – up to 3 days remote) Visa Sponsorship: Not Available A fast-growing B2B SaaS company is building a next-generation payments and data platform serving enterprise clients across insurance and financial services. The business is scaling rapidly and is looking for an Implementation Engineer to lead client onboarding, data integration, and end-to-end delivery of complex technical solutions. This is a hybrid role combining client-facing consulting, data engineering, and solution design. You’ll work directly with external clients to deeply understand their data, operational workflows, and payment processes, translating that into scalable, production-grade solutions. The Role You’ll own onboarding projects from discovery through go-live, building ingestion pipelines, mapping logic, and reconciliation workflows tailored to each client. Working closely with Product and Engineering teams, you’ll continuously improve the onboarding experience and platform capabilities. This role suits someone who enjoys solving messy data problems, working directly with customers, and having real ownership in a scaling startup environment. What You’ll Be Doing: Client Discovery and Requirements • Lead technical discovery sessions to map data sources, workflows, and reconciliation processes., • Uncover edge cases, undocumented logic, and operational nuances., • Translate business and operational needs into clear technical specifications. Data Analysis and Integration • Analyse complex datasets (Excel, CSV, PDFs, data feeds) and identify required transformations., • Design and implement data mappings, validation rules, and ingestion workflows., • Transform inconsistent or messy data into clean, structured formats aligned with internal schemas. Solution Design and Delivery • Architect and configure client-specific ingestion, matching, and reconciliation rules., • Build proof-of-concept integrations to demonstrate platform value early., • Execute full implementation cycles including testing, troubleshooting, and documentation. Client Communication and Success • Act as the primary technical point of contact during onboarding., • Communicate clearly with both technical and non-technical stakeholders., • Build strong client relationships through consistent delivery and structured solutions. Platform and Process Improvement • Identify reusable onboarding patterns and contribute to templates and tooling., • Collaborate with Product and Engineering to improve platform capabilities., • Help standardise and scale onboarding processes. What We’re Looking For: Core Skills • Strong analytical mindset with the ability to understand complex workflows., • Experience working with CSV, Excel, SQL databases, APIs, and data pipelines., • Strong SQL skills and experience with scripting languages such as Python., • Ability to diagnose and resolve data quality, transformation, and mapping issues., • Comfortable leading client discussions and working through ambiguity. Nice to Have • Background in fintech, insurance, payments, or reconciliation systems., • Experience in implementation engineering, solutions engineering, or technical consulting., • Exposure to cloud platforms, ETL pipelines, matching logic, or financial data models. Personal Attributes • High ownership and accountability., • Clear, confident communicator., • Comfortable in fast-moving startup environments., • Curious problem solver with strong attention to detail. Benefits • Hybrid working model (central London office), • Private healthcare, • Regular team lunches and international offsites, • High-spec technical equipment, • 22 days annual leave plus bank holidays Interview Process • Introductory call, • Technical interview, • Onsite workshop and team collaboration session

[Up to c. £300k Comp Package | Hybrid Working] Role Overview We’re working with a high-growth trading and digital-assets firm seeking a seasoned engineering leader to take ownership of their client-facing technology ecosystem. As the organisation expands into new markets and contends with evolving regulatory demands, this role will spearhead the architecture and delivery of platforms that underpin client onboarding, reporting, data exchange, and compliance workflows. You’ll guide the engineering strategy for a suite of internal and external systems - including CRM tooling, realtime reporting pipelines, API integrations, client portals, and surveillance utilities - while coaching a small but high-impact engineering team. This is a hands-on leadership position where you’ll set the roadmap, refine standards, and shape how the firm delivers secure, reliable, and regulation-ready client technologies... Key Responsibilities • Define and execute the engineering strategy for client-facing systems spanning CRM workflows, reporting platforms, and external integration points, • Lead, mentor, and develop a team of software engineers, fostering strong delivery discipline, resilience, and technical growth, • Partner closely with commercial and operational stakeholders to understand client needs and translate them into scalable, maintainable solutions, • Oversee the design and build of distributed services and APIs that support both realtime and batch data exchange with counterparties, • Own the engineering roadmap for the client web portal, ensuring robust authentication, data integrity, auditability, and consistent user experience, • Manage the lifecycle of compliance-aligned platforms such as trade-surveillance modules, transaction-monitoring systems, document repositories, and ID-verification capabilities, • Drive best practices across code quality, architecture, observability, and secure software development, • Ensure systems meet regulatory requirements relating to data handling, retention, reporting, and operational resilience, • Coordinate delivery across multiple concurrent projects, maintaining clear communication with technical and non-technical stakeholders, • Evaluate third-party technologies, influence vendor selection, and oversee integration efforts in partnership with legal and compliance teams What You’ll Bring… • 7-12 years of engineering experience, including time as an Engineering Manager, Technical Lead, or Senior Engineer in financial services, trading, fintech, or another high-complexity environment, • Demonstrated ability to architect and scale distributed systems, client-serving APIs, or multi-component full-stack platforms, • Strong technical judgment and the ability to translate ambiguous requirements into clear design decisions, • Hands-on experience working with web technologies (e.g. modern JavaScript frameworks), backend services (Python, Go, or JVM languages), data-integration pipelines, and cloud-native tooling, • Understanding of reconciliation workflows, data lineage, and the operational safeguards required for systems that must be accurate, auditable, and failure-tolerant, • Proven ability to work effectively in regulated settings, with familiarity around data-protection, security controls, and governance practices typical in finance/fintech, • Excellent communication skills and the ability to collaborate with senior stakeholders across business, compliance, and engineering, • A practical, product-focused mindset - solving business problems with technology, not the other way around ...

Position: Back-End Engineer Location: London, 4 to 5 days per week on site Compensation: Competitive salary and equity, depending on experience Reports to: Head of Engineering About Navys Navys is a venture-backed legal technology company building enterprise workflow software for private capital markets. The platform replaces manual, email-driven legal processes with a structured system that enables funds lawyers, GPs and LPs to execute complex transactions more efficiently. Navys is focused on real legal workflows, not generic AI tools or document summarisation, and is designed to support production-grade, enterprise use cases. Navys is building core infrastructure for how funds legal work is done, with a strong emphasis on execution, clarity and real-world impact. Role Summary Navys is seeking a Back-End Engineer to join the team on a full-time basis. This is a hands-on engineering role focused on building robust, scalable backend systems that power complex legal workflows and transaction management. You will be responsible for designing and implementing core backend services, APIs and data infrastructure that form the foundation of the platform. This role requires deep technical expertise in backend architecture, strong ownership and the ability to translate complex legal workflows into efficient, reliable systems. This is not a narrow or isolated engineering role. It requires ownership, comfort with ambiguity, and the ability to take responsibility for backend features and services from early design through to production deployment. Responsibilities Backend Development and API Design • Design, build and ship scalable backend services and RESTful APIs in Python, • Architect and implement data models that support complex legal workflows and transaction orchestration, • Translate complex legal and operational requirements into efficient backend systems, • Take ownership of backend features from concept through to production release Platform Infrastructure and Performance • Develop and maintain cloud infrastructure with a strong focus on Azure services, • Design and implement database schemas, optimise queries and ensure data integrity, • Build resilient, performant systems capable of handling enterprise workloads, • Ensure backend services are secure, maintainable and scalable as usage grows System Architecture and Collaboration • Influence backend architecture decisions and help define engineering best practices as the team grows, • Work closely with the Head of Engineering, frontend engineers and product team to align technical execution with product priorities, • Collaborate with legal domain experts to understand workflow requirements and design appropriate backend solutions, • Support early customer deployments and troubleshoot production issues Candidate Profile Essential Requirements • Strong proficiency in Python with experience building production-grade backend systems, • Solid experience designing and building scalable RESTful APIs and microservices, • Deep understanding of relational databases, data modelling and SQL, with PostgreSQL experience preferred, • Experience with at least one major cloud platform, with Azure strongly preferred and AWS acceptable, • Understanding of authentication, authorization and security best practices in enterprise SaaS applications, • Knowledge of containerisation technologies such as Docker, • Strong problem-solving and analytical skills with attention to system performance and reliability, • Strong communication and collaboration abilities across technical and non-technical teams, • Comfortable operating in a fast-paced, early-stage start-up environment Desirable Requirements • Experience with infrastructure as code such as Terraform or Bicep, • Familiarity with Azure services including Azure Functions, Azure SQL, Key Vault, Blob Storage and Service Bus, • Experience building workflow or transaction-heavy systems, • Exposure to AI or LLM-based tooling such as OpenAI, Azure AI or LangChain, • Understanding of message queues, event-driven architectures or async processing patterns, • Experience in legal tech, fintech or another highly regulated domain, • Understanding of compliance, security and resilience requirements in enterprise software systems What Navys Offers • Competitive salary plus meaningful equity at an early stage, • A foundational engineering role with real ownership and impact on core backend systems, • Close collaboration with engineering leadership and founders, • Opportunity to grow as the company scales Equal Opportunity Employer We are committed to fostering a diverse and inclusive workplace. As an equal opportunity employer, we do not discriminate on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage or civil partnership, pregnancy or maternity, or sexual orientation. All qualified applicants will receive consideration based on individual merit and business needs.

Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript I am currently working with one of the fastest-scaling platforms in the creator economy which is a creator-first, AI-powered product that enables creators around the world to directly monetise their audiences. Every system you build will operate at serious global scale. 🎯 The Role As a Senior Software Engineer, this is a hands-on, high-impact role for an engineer who thrives on complexity, scale, and ownership. As the different platforms grow, this role offers a clear path to progress as a Principal IC or Engineering Leader, scaling both the systems and your own influence. What you will do... • Architect scalable systems, • Own features end to end, • Build critical tooling, • Scale third-party integrations, • Raise the bar for developer experience, • Continuously improve code quality, testing, observability, and maintainability across different systems., • Collaborate cross-functionally, • Work closely with product, design, compliance, legal, and operations to balance user experience, regulation, and business priorities., • Move fast, without breaking trust, • Deliver high-quality systems at the pace of a rapidly scaling global platform. Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript Who you are... • Strong technical foundation, • Deep experience with TypeScript, React, Node.js, and SQL/Postgres., • Systems thinker, • Comfortable designing complex, interdependent systems with financial, regulatory, and UX constraints., • Hands-on senior engineer, • You love writing code and solving hard problems — from low-latency checkout flows to resilient retry, fallback, and routing logic., • Clear communicator & collaborator, • Able to explain trade-offs, manage stakeholders, and work transparently across teams., • High standards, high velocity, • You move quickly without compromising on security, reliability, or quality., • Ownership & passion, • You take projects end-to-end and genuinely care about building world-class systems. Why Join? • Work on systems that directly impact trust, conversion, and revenue, • Competitive salary, equity, and benefits, • Hybrid or remote flexibility with flexible working hours, • Unlimited holiday, growth & wellbeing budget, • Join a high-calibre, mission-driven team that values ownership, transparency and speed Remuneration & Benefits -> Up to £110,000 + meaningful equity + benefits -> Unlimited holiday -> UK Remote (Office in Canary Wharf if you want to go in) -> Work closely with a brilliant, mission-led team If you want to hear more about the Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices. Role Snapshot You’ll own core pieces of our Android SDK: performance, stability and developer experience. You’ll profile power, latency and memory, optimise threading and networking, shape public Kotlin APIs and harden telemetry. You’ll also take ownership of production issues surfaced by Solutions Engineering and Customer Success: reproduce, fix the root cause and ship improvements. You won’t handle customer contracting or sales calls; your focus is a fast, stable SDK that makes integrations effortless. In H1, you’ll be partnering with the Head of Mobile and our React Native SDK engineer to deliver the next-generation SDK: translate product requirements into a revised SDK architecture, lead implementation of the key features, run a staged beta and show before→after gains on crash/ANR, latency and battery on our device matrix. Key Responsibilities Performance and reliability • Profile and optimise on-device performance and data paths (battery, CPU/GPU, memory), • Own threading, scheduling and back-pressure; make frame-time and latency predictable across device classes, • Design clear, stable, Kotlin-first public APIs (versioned, well-documented, testable), • Implement best practices for networking, auth and IO; make failure modes deterministic and observable, • Own CI/CD for the Android SDK (GitHub Actions/GitLab CI) and dependency hygiene; prepare release artefacts and hand off to Solutions Engineering for release cadence and publishing, • Partner with the Solutions Engineer: reproduce field issues, write minimal repros, land fixes and verify via dashboards, • Co-design the next generation of the Android Captur SDK for release at the end of Q2, • SDK Engineer owns: code quality, API design, perf, stability, instrumentation, and technical notes for releases, • Solutions Engineer owns: release cadence, artefact publishing, changelogs, customer comms and debug sessions What Success Looks Like (First 3 Months) 30 Days: • Get fully set up, read the codebase and understand how the SDK integrates into customer apps (run the sample integrations end-to-end), • Take on small backlog items and minor bug fixes to gain experience with the SDK, • Own a set of feature requests/changes in the existing SDK from design to merge, • Improve crash reporting and metrics: add any missing telemetry/events needed for clearer root-cause and cleaner dashboards, • Provide meaningful input on core sections of the SDK revamp (review/author proposals, • Become the Android SDK SME day-to-day: work independently with the Solutions Engineer to reproduce issues and land fixes that improve customer experience Core Requirements • Deep Kotlin (3+ years) experience focused on systems-level/SDK work (not UI-heavy app development): threading/concurrency, memory, camera/graphics/IO and performance tooling (Android Studio profilers, Perfetto, Systrace), • Shipped code across hundreds of device models and over 1m monthly SDK sessions with proven strategies to handle device quirks, • Hands-on experience with monitoring tools (Crashlytics/Sentry/Datadog or similar) and adding the right events to enable root-cause analysis (crashes, ANRs, latency), • Experience delivering SDKs via GitHub Actions/GitLab CI with Gradle/Maven, semantic versioning and signed artefacts, maintaining clean migrations and changelogs, • Utilise test-driven development in practice – writing unit and instrumentation tests and standing up integration harnesses around threading/IO, • Networking/auth/API fundamentals tuned for mobile constraints, • Based in the UK (London preferred) and able to work from our London office at least 1 day per week on an ongoing basis Bonus Points • Built or maintained Android SDKs used by external developers (versioning, migrations, deprecations), • Familiarity with common Computer Vision pipelines and ML Ops basics for mobile development, • Practical experience integrating or optimising TFLite/LiteRT for real-time use, • Able to work from our London office 3 days per week during the first 3 months to speed up pairing and knowledge transfer

You're built for big things, not endless marketing tasks. At SAAGA Solve, our intelligent agents manage all the complex aspects of getting noticed on search and social media, so established businesses and growing startups can truly focus on what they do best: innovating, building, and serving their customers. We’re hiring a senior full-stack engineer to help us build AI-powered products end-to-end. You’ll own features from rough idea to production: architecture, implementation, testing, release, and iteration. The work spans modern web (Node.js, React, Next.js, TypeScript) and LLM agents (tooling, function calling, integrations, evaluation, and reliability). Our core is on Python, so some knowledge about that is also needed. You’ll thrive here if you: (a) write clean, production-grade code fast, (b) treat tests and monitoring as part of “done,” (c) think like a founder - challenge assumptions, propose better paths, make decisions with incomplete data, and ship. We’re an A-player team; we expect proactive ownership, direct communication, and the courage to push back when something isn’t right. What success looks like • In the first days: ship a user-visible feature, add/extend an agent tool, and land solid PRs with strong tests., • In first Q days: lead a small project across front-end, back-end, and an LLM integration, with metrics and basic evals., • Be a go-to owner for a product slice, raising code quality, performance, and reliability while mentoring others on agent patterns. Requirements • 10+ years of professional software engineering experience delivering production systems., • Full-stack depth: Node.js, React.js, Next.js, and TypeScript at an expert level (types as design, not decoration)., • AI/LLM agents: hands-on experience building agents with function/tool calling, multi-tool orchestration, retries, cost/latency trade-offs, and safety/guardrails. This one would be a big plus., • APIs & SDKs: strong with OpenAI, Anthropic, Google Gemini; plus nice to have LangGraph and their other LangChain products, OpenRouter, AWS Bedrock., • Systems & product thinking: convert fuzzy requirements into simple, resilient architectures. Bias to ship; know when to spike, when to harden., • Testing discipline: writes your own unit, integration, and happy-path/end-to-end tests; partners with QA for edge cases and complex scenarios. “It works on my machine” is not done., • Quality in production: observability (logs/metrics/traces), feature flags, canary/rollbacks, performance profiling, and error budgets are familiar tools, not buzzwords., • AI-assisted development: enthusiastic and effective using AI for coding/review/testing, while maintaining rigorous standards and architectural sense., • Collaboration: crisp written communication in English, clear PRs, structured RFCs, and constructive code reviews., • Founder mindset: proactive, decisive, comfortable with uncertainty. Preferred: familiarity with YCombinator content/principles (default alive, talk to users, build/measure/learn). Nice to have (not required): RAG pipelines, vector DBs, lightweight eval harnesses, prompt/version management, streaming UX, and cost telemetry. Benefits • Competitive Rate 🔥, • Work From Home, • Training & Development, • Equity Plan 🔥, • Career Opportunities, • Core Team Important notes • Time overlap with the Pacific timezone required (California), • The company CEO is located in California, • The company is fully remote, no office, • We work up to 32h/w. Such time dedication would also be expected from you, • Payments done preferably in BTC; time tracked and invoiced in USD, • This is an Independent Contractor position, W8-BEN / W8-BEN-E, • We are building this team in the European timezone

Support & DevOps Engineer A global fintech are seeking a proactive and technically adept Support & DevOps Engineer to maintain and enhance our production trading environment. This unique hybrid role blends BAU support responsibilities with advanced DevOps engineering tasks, ensuring robust operational efficiency and technical excellence. The successful candidate will provide real-time operational support, build next-generation reconciliation tools for trade consistency across digital and traditional financial assets, and implement comprehensive monitoring and tooling solutions leveraging modern technologies. Primary Responsibilities: • Provide support for production environment issues, promptly diagnosing and resolving problems, both offline and in real-time., • Communicate effectively with internal customers and senior software engineers to resolve and escalate issues clearly and efficiently., • Design, develop, and maintain advanced reconciliation applications to ensure consistency across digital and traditional finance trade-capture processes., • Develop and enhance monitoring dashboards and alerts using DataDog, Grafana, or similar technologies to proactively identify and address production issues, including end-to-end system latency., • Build tooling and monitoring solutions to facilitate comprehensive post-release validation, ensuring software functions correctly following deployments., • Participate in release management processes and uphold best practices following Agile methodologies., • Be the Incident coordinator for operational incidents on the core engineering production platform. This includes all technical internal communications, ensuring processes are followed and all post-incident followup and analysis. Qualifications and Skills: • 5+ years of combined experience in Support, DevOps, SRE, or related technical roles, ideally within financial technology environments., • Strong technical expertise with Python, Unix, PostgreSQL, and familiarity with Kafka, CockroachDB, FastAPI, GraphQL, Snowflake, Redis, and QuestDB or equivalent technologies., • Proven experience designing and implementing monitoring and alerting tools (DataDog, Grafana)., • Solid experience with AWS Cloud Infrastructure and related operational processes., • Deep understanding of and experience troubleshooting REST APIs and WebSockets., • Exposure to crypto, blockchain (DLT), trading, and risk management systems is highly beneficial., • Familiarity with financial services infrastructure standards and processes (e.g., ITIL) within a DevOps or Site Reliability Engineering (SRE) context., • Demonstrated experience managing multiple priorities effectively and operating efficiently in ambiguous environments., • Excellent documentation and knowledge-sharing skills, coupled with a passion for continuous improvement in documentation strategies and tooling., • Experience with incident response protocols and comfort navigating high-pressure situations., • Proficiency with development workflows and tools (JIRA, Confluence, GitHub, Scrum methodologies)., • Strong written and spoken English communication skills; ability to clearly articulate technical concepts to varied audiences.

Senior Unity Engineer - Sports Interactive - Hybrid, London/Remote Possible by Exception We’re the exclusive recruitment partner for Sports Interactive, the home of Football Manager and a subsidiary of SEGA, and we’re looking for a Senior Unity Engineer to join the team! Founded in 1994, Sports Interactive became a wholly owned subsidiary of SEGA Europe in 2006. Based at the Here East technology hub in Stratford, East London, the SI team continues to expand as we bring our titles to an ever-growing audience across an increasing variety of platforms. To support our growth, we welcome the opportunity to connect with passionate people with the drive to match our ambitions and initiative to realise your individual potential. Position Overview We are seeking a highly skilled and experienced Senior Software Engineer to join our development team. You bring extensive expertise in C# and Unity, with a strong ability to architect and implement efficient, maintainable systems. This role involves architecting and implementing scalable and re-usable systems using C# and Unity across multiple areas of the game, including — but not limited to — addressables, package management, data binding, UI and general systems and editor tooling that support our games and their features and functionality. You will collaborate closely with other engineering teams, design, production, QA, and other stakeholders in the studio to deliver high-quality user experiences on multiple platforms including desktop, console, and mobile. Your contributions will directly shape the technical foundation and player-facing experience of Football Manager, helping deliver intuitive, performant, and engaging games to our global player base. We expect our senior software engineers to take ownership of their work and professional development goals, continuously enhancing their technical knowledge and communication skills. You will also be expected to lead by example, mentor junior engineers, and promote best practices across the team. KEY RESPONSIBILITIES • Design, implement, and maintain complex and scalable systems and features using C# and Unity that form the technical foundation for our games., • Contribute to the development, profiling and optimisation of our code, including using Unity’s UI Toolkit and dynamic data binding., • Support the development of editor tooling and workflows that enhance productivity and streamline content integration across multiple disciplines including engineers, art & design., • Own and maintain areas of our C# codebase, ensuring performance, maintainability, and cross-platform compatibility across desktop, console, and mobile platforms., • Collaborate with cross-functional teams – including design, engineering, QA, and production – to deliver high-quality user experiences and features., • Participate in planning and roadmap discussions, contributing technical insight and helping shape feature delivery and long-term architecture., • Investigate and resolve complex technical challenges, including performance bottlenecks., • Mentor junior engineers, promote best practices, and foster a culture of continuous learning and technical excellence. KNOWLEDGE, SKILLS & EXPERIENCE • Extensive professional experience in video game development using C#., • Deep proficiency in C# is essential, including a strong understanding of memory management, garbage collection, async programming, and performance., • A strong experience and understanding of Unity., • Experience with Unity’s UI Toolkit is beneficial but not essential., • Experience developing Unity editor tooling and systems that support multi-disciplinary teams., • Solid understanding of software engineering principles, design patterns, and profiling and performance optimisation., • Proven ability to write clean, maintainable, portable, performant and well-documented code., • Familiarity with C++ is beneficial, particularly in contexts where Unity interfaces with native modules, but not essential., • Experience with cross-platform development across desktop, console, and mobile environments., • Strong analytical and problem-solving skills, with a proactive approach to technical challenges., • Excellent communication skills and ability to collaborate effectively across disciplines., • Self-motivated with a commitment to continuous improvement and team support., • Experience mentoring junior engineers and contributing to team-wide technical growth., • Knowledge of Football Manager is beneficial; interest in football is a plus. Benefits of Working at Sports Interactive: A flexible working policy to best suit you and your team. 🏠 Subsidised mental health, therapy and coaching sessions are available. 😌 Contributory Pension Scheme (up to 7% of annual salary). 🏦 Free onsite evening bar in the Sports Interactive London HQ. 🍹 A well-stocked breakfast bar with cereals, fruits, teas, and coffees. 🥣 Regular events in collaboration with our partnered football clubs. 🏟️ Access to our on-site physical and massage therapist services. 💆 Multiple clubs and societies to join e.g., book club and art workshops. 🫶 Free access to games released under the SEGA Europe umbrella. 🕹️ A range of Gym Membership options through our Benefits partners. 🏋️ Fully Subsidised Healthcare and Dental Plans. 🦷 Free Travel Insurance for yourself and your family. ✈️ A personalized football shirt upon passing probation. 👕 What is it like to work here? We approach everything with passion, whether that is making our mark on the gaming and football industries or doing our bit for the world around us. We want to share that outlook with everyone who shows up to work here each day. For us, talent wins games, but teamwork wins titles. Collaboration is the key to constantly topping our best. We believe everyone matters, no matter which part of the business you are in, so we encourage and support our people in driving your own growth and realising your full potential. But, more than anything else, we are a team. A team with a down-to-earth dynamic, that has a lot of fun doing what we do. And whether that’s technical tweaks or fine-tuning our creative process, everything is geared at producing the best game possible for our players. To do that, we need to be tenacious and move quickly, and not be afraid of switching things up. It is these principles that have enabled us to produce a game that has defined year after year, and that will continue to push us for many more to come. Our flexible working culture gives you the opportunity to optimise your workload, with in-office, hybrid, and remote working options dependent on role. So, if you want a work/life balance, we are behind you. Because while we live to create extraordinary games, we know that is not all you have got going on. You can trust that we always keep things in perspective, fostering an environment where work can be more than just a job. We’re also a London Living Wage employer, boast one of the lowest staff turnover rates in the industry and are proud to have won the ‘Best Places to Work’ award by Gamesindustry.biz in large company category in 2023. We are proud to be an equal opportunities employer and encourage applications from any relevant candidate irrespective of sex, race, disability, age, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy or maternity, religion, or belief. SI is proudly a Disability Confident Committed employer, and we are dedicated to ensuring our recruitment process is inclusive and accessible. Our studio has disabled access and facilities but please ensure you advise us if you require any other reasonable adjustments to be made to support you during the recruitment process. Our Values: Keep collaborating: Teamwork wins titles - Here, ideas belong to everyone, whatever department you’re part of. Collaboration lets us score more as a team than we could individually. Be flexible: We think fast and adapt faster. The football and entertainment worlds never stand still, so we keep progressing and switching things up to stay ahead. Stay Tenacious: We don’t overlook the details. Everything we do is about producing the best game possible, in other words, never settle. Show Ambition: Let your drive lead the way - Your individual outlook can give everyone the edge. Make the studio’s purpose personal and let your drive lead the way. Bring the Passion: Have fun doing your thing - Don’t be fooled, what we do is not a game. Making our players’ passion come to life is our passion. Consider the Bigger Picture: Keep things in perspective - We want our impact to be a positive one. From built-in work/life balance to initiatives covering the most important topics of today, we have what matters in focus.

🌍 Location: London (Hybrid: 4-8 days a month) 💷 Salary Range: £70,000-100,000 📈 Equity: Meaningful early-stage equity 🕒 Stage: Seed → Series A 🌐 Website: Cyb3roperationsCyb3r Operations | Supply Chain & Third Party Intelligence About Cyb3r Operations Cyb3r Operations is building a modern third-party risk intelligence platform that gives organisations real-time visibility into: • Supply-chain and vendor risk, • Financial stress indicators, • Cyber exposure and shadow IT, • Surface, deep and dark-web intelligence, • Breach data, impersonation activity and industry-specific signals Our platform ingests and enriches large volumes of external intelligence to help security, procurement, CFO and resilience teams understand exposure instantly. We have: • Closed our seed round and are entering the next stage of growth, • Expanding the platform, engineering team and customer footprint, • Preparing for Series A with a focus on platform maturity and deeper integrations We're hiring a Senior Lead Software Engineer as a foundational member of our engineering team, someone who will help us build robust, scalable systems and shape how we grow the team around them. Role Overview This is a key early hire. You'll work across the full stack with a strong emphasis on backend services and infrastructure, helping us build systems that scale as we grow. You'll work closely with the Director of Engineering to establish patterns, improve reliability, and lay the groundwork for a larger engineering team. You will: • Design and build backend services that ingest, process and serve intelligence at scale, • Own and evolve our AWS infrastructure, ensuring it's secure, cost-effective and production-ready, • Work across the stack when needed, comfortable contributing to frontend, APIs and data layers, • Help define engineering practices, tooling and processes as the team grows, • Be a key voice in technical decisions and architectural direction, • Mentor and support engineers as we expand the team This role suits someone who wants to build things properly, cares about the foundations, and is excited by the opportunity to shape both the platform and the team. Key Responsibilities Backend Development • Design and build performant, maintainable backend services in TypeScript/Node.js and Python, • Develop APIs using Fastify and integrate with internal and external data sources, • Build data pipelines and processing workflows that handle high-volume intelligence feeds, • Implement robust error handling, logging, monitoring and alerting, • Write clean, well-tested code with clear documentation Infrastructure & Cloud Engineering • Own and manage AWS infrastructure (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, etc.), • Design for scale, reliability and cost efficiency from the outset, • Implement infrastructure-as-code using Terraform, • Build and maintain CI/CD pipelines for consistent, reliable deployments, • Establish security best practices across infrastructure and application layers, • Monitor, troubleshoot and optimise production systems Architecture & Technical Leadership • Contribute to architectural decisions that support long-term scalability, • Identify technical debt and propose pragmatic approaches to address it, • Evaluate and introduce tools and technologies where they add genuine value, • Document systems, decisions and patterns to support team growth, • Participate in incident response and post-mortems, driving continuous improvement Team Growth & Collaboration • Work closely with the Director of Engineering on priorities, planning and team development, • Help interview, onboard and mentor new engineers as we scale, • Communicate clearly and proactively, flag risks early, share context generously, • Collaborate with Product and other stakeholders to refine requirements and trade-offs, • Foster a culture of learning, quality and mutual support Technical Environment Backend: • Node.js, TypeScript, Fastify, • Python for data processing and automation, • Postgres, Supabase, Redis, • Event-driven microservices architecture, • n8n for workflow automation, • LLM-powered enrichment pipelines Infrastructure: • AWS (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, IAM, VPC), • Terraform for infrastructure-as-code, • GitHub Actions for CI/CD, • Monitoring and observability tooling Frontend (for fullstack context): • React, TypeScript, Vite, Next.js Bonus familiarity: • Graph databases and GraphML for relationship modelling, • .NET for legacy integration or specific tooling, • Cyber Security, • SOC2 / CE+ / Regulatory experience What Success Looks Like (First 12 Months) • Core backend services and infrastructure are more scalable, reliable and observable, • Clear architectural patterns established that the team can build upon, • Meaningful contribution to at least one significant platform capability, • Infrastructure costs are understood, monitored and optimised, • Strong working relationships across engineering, product and leadership, • Actively contributed to hiring and onboarding new team members, • Recognised as a trusted technical voice in decisions and planning Ideal Experience • 5+ years of backend development experience, with strong TypeScript/Node.js and Python skills, • Solid, hands-on AWS experience—you've built and operated production infrastructure, not just used managed services, • Experience designing systems for scale, even if you haven't yet operated at massive scale, • Comfortable across the stack—backend-focused but can contribute meaningfully to frontend when needed, • Worked in startup or scale-up environments where you've had to build, ship and iterate quickly, • Experience with infrastructure-as-code (Terraform preferred), • Clear, confident communicator who can explain technical concepts to varied audiences Bonus: • Experience with graph databases or GraphML for modelling complex relationships, • .NET experience for specific integrations, • Familiarity with cyber security, threat intelligence or risk platforms, • Experience building data pipelines or working with high-volume data ingestion, • Previous involvement in growing or mentoring engineering teams What We're Looking For Beyond technical skills, we're looking for someone who: • Loves building: Energised by creating products that solve real problems, • Builds for scale: Thinks about what happens when it grows, not just when it works, • Grows people: Wants to help others develop—shares knowledge, gives feedback, lifts the team, • Stays curious: Asks questions, digs deeper, never assumes they know everything, • Keeps learning: Actively develops their skills and stays engaged with the craft, • Stays humble: Ego-free, open to challenge, happy to be wrong if it leads to better outcomes, • Communicates clearly: Can articulate ideas, trade-offs and concerns directly and constructively This is an early, foundational role. We need someone who cares about getting it right and wants to help us build something that lasts. Why Join Cyb3r Operations This isn't a 9-5. We're building something meaningful, and we're looking for people who want to be part of that. • Foundational impact: Join as a key early hire and shape how we build—both the platform and the team, • Real ownership: Your decisions matter, your code ships, your influence is tangible, • Talented team: Work alongside experienced engineers, intelligence analysts and security professionals who care about their craft, • Shared success: We celebrate wins together and recognise the people who make them happen, • Growth opportunity: Help us scale from seed to Series A and beyond, your career grows with us, • Cyber security domain: Work on problems that matter, in a space that's only becoming more critical, • Competitive package: Salary, matched pension contribution, unlimited leave and flexibility that reflects your experience and contribution If you want to build robust systems, help grow a strong team, and be part of something from the early days, we'd love to hear from you.

We’re partnering exclusively with one of London’s most prestigious trading powerhouses to hire a standout Front-End Software Engineer — someone who lives and breathes elegant UI engineering and wants to build products that matter at millisecond scale. This is your chance to work at the core of high-performance trading tech, crafting ultra-fast, hyper-polished interfaces used by some of the sharpest and most demanding minds in global finance. What You’ll Be Doing • Building lightning-fast, data-intensive UIs using React and TypeScript, • Partnering with back-end engineers, traders, and product leads to shape next-generation trading tools, • Designing and evolving front-end architectures for real-time data and complex visualisations, • Working in an environment where craftsmanship, performance, and code quality are taken seriously — every single day Tech Stack • Languages: TypeScript, JavaScript (ES6+), • Frameworks: React, Redux (or similar state management), • Tooling: Webpack, Babel, Jest, ESLint, Git, • Bonus: WebSockets, performance profiling, custom charting (D3.js, Highcharts) What They’re Looking For • Deep expertise with React and modern TypeScript/JavaScript, • Strong architectural thinking, performance tuning skills, and component design mastery, • Experience in fast-paced, high-impact environments (trading, gaming, or top-tier tech), • A passion for building clean, scalable, beautifully engineered UI systems Why Join? • Build mission-critical tools that influence real-time trading decisions, • Work shoulder-to-shoulder with brilliant engineers and front-office teams, • Enjoy a flat, engineering-led culture with rapid iteration and true ownership, • Gain access to cutting-edge tooling, full autonomy — and compensation that reflects elite performance Compensation: £120k–£180k base + exceptional bonuses

About PRODA At PRODA () we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin. Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software. Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can: · Build repositories of clean, standardised data · Increase process efficiency, through faster report generation · Improve data-driven decision making, by ensuring the accuracy of input data Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation. Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022. PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally. Role We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience. Responsibilities • Develop flows for extraction of data from financial documents in PDF and Excel formats., • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps., • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability., • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients., • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders. Required Skills & Qualifications • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline., • Proven experience in solving complex problems, ideally in data extraction and modelling., • Comfortable solving problems at every level, from algorithms and data structures to system design., • Expertise in Python., • Experience of full-stack development., • Ability to work independently as well as part of a collaborative team., • Strong project management skills with the ability to meet deadlines. Preferred Skills & Qualifications • Experience with TypeScript and React., • Experience with cloud platforms. What We Offer • Opportunity to learn and grow in a fast-paced, cutting-edge environment., • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling., • A supportive environment with a focus on professional development and growth., • A culture that values simplicity and efficiency in solving problems and delivering solutions. Working at PRODA As a rapidly growing SaaS business, life at PRODA is fast-paced and collaborative. Our day-to-day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work. We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close-knit group who pull together to achieve our goals, but we also have fun! Further to a strong team environment, working at PRODA offers the following amenities: • Flexible Hybrid working options, • Stock Options in the Business, • 25 days base holiday, • Full zero-excess Private Health & Dental Insurance, Includes Couple and Family plans, • Generous Pension Schemes, • Opportunities for Professional Development + Learning Sessions PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital/family status.

Position: Front-End Engineer Location: London, 4 to 5 days per week on site Compensation: Competitive salary and equity, depending on experience Reports to: Head of Engineering About Navys Navys is a venture backed legal technology company building enterprise workflow software for private capital markets. The platform replaces manual, email driven legal processes with a structured system that enables funds lawyers, GPs and LPs to execute complex transactions more efficiently. Navys is focused on real legal workflows, not generic AI tools or document summarisation, and is designed to support production grade, enterprise use cases. Navys is building core infrastructure for how funds legal work is done, with a strong emphasis on execution, clarity and real world impact. Role Summary Navys is seeking an ambitious Front End Engineer to join the team on a full time basis. This role focuses on owning and building the user facing parts of the Navys platform. You will shape how lawyers and fund professionals interact with the product by building responsive, intuitive and reliable interfaces. You will work closely with design, product and backend engineering to deliver high impact features in an evolving and technically ambitious environment. This is not a narrow implementation role. It requires strong ownership, attention to quality, and the ability to translate complex workflows into clear and usable product experiences. Responsibilities Product Delivery and Execution • Build and refine core user interface components using React and TypeScript, • Translate complex legal and operational workflows into clean, intuitive and user friendly interfaces, • Deliver production ready frontend features that meet enterprise quality standards Frontend Architecture and Quality • Build and maintain a scalable frontend architecture in close collaboration with backend and platform engineers, • Own frontend performance, accessibility and reliability across browsers and devices, • Ensure a high standard of frontend quality through testing, review and iteration Engineering Contribution and Collaboration • Work closely with design to deliver production ready interfaces, • Help define and establish frontend best practices, tooling and testing infrastructure, • Collaborate closely with product and engineering to align frontend delivery with broader platform priorities Candidate Profile Essential Requirements • At least 3 years of experience building and shipping modern frontend applications, • Deep proficiency with TypeScript and React in production environments, • Experience working with Azure based infrastructure such as Azure App Services or Azure DevOps, • Strong understanding of component based architecture and frontend state management, • Experience operating in fast paced startup environments with high ownership, • Strong problem solving and analytical skills, • Strong communication and collaboration abilities Desirable Requirements • Experience with frontend testing frameworks such as Jest, Cypress or Playwright, • Familiarity with design systems and component libraries such as Storybook, Chakra UI or MUI, • Experience working on B2B enterprise software or legal tech products, • Understanding of secure frontend development practices, • Strong eye for UX, interaction design and usability What Navys Offers • Competitive salary plus meaningful equity at an early stage, • Ownership of core user facing product experiences, • Direct influence on frontend architecture and engineering standards, • Close collaboration with engineering leadership, product and design, • Opportunity to grow into senior frontend or broader engineering roles as the team scales Equal Opportunity Employer We are committed to fostering a diverse and inclusive workplace. As an equal opportunity employer, we do not discriminate on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage or civil partnership, pregnancy or maternity, or sexual orientation. All qualified applicants will receive consideration based on individual merit and business needs.

We are seeking an exceptional C++ Engineer to join one of the world's most advanced high-frequency trading firms. This is a rare opportunity to work at the intersection of cutting-edge technology and global financial markets, where performance is measured in nanoseconds and innovation drives competitive advantage. You'll be part of a team that designs and builds ultra-low latency trading systems deployed across global exchanges. Your work will directly impact trading performance, and you'll be empowered to push the boundaries of what's possible in software and hardware optimisation. Key Responsibilities • Architect and implement high-performance C++ systems with extreme latency sensitivity., • Optimise every layer of the stack - from CPU cache and memory allocation to kernel bypass and network I/O., • Collaborate with traders, quants, and infrastructure engineers to deliver robust, scalable, and lightning-fast trading solutions., • Profile, benchmark, and tune systems using advanced tooling and custom diagnostics., • Contribute to the design of proprietary protocols, lock-free data structures, and real-time analytics pipelines. Ideal Candidate • Expert-level proficiency in modern C++, with a deep understanding of low-level systems programming., • Strong grasp of computer architecture, concurrency, and performance engineering., • Experience with kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload) and high-performance networking., • Familiarity with Linux internals, NUMA, CPU affinity, and custom memory management., • Proven track record of building latency-critical systems in trading, gaming, or telecom environments., • Bonus: Experience with FPGA acceleration, RDMA, or custom NIC firmware. Why Apply? • Work with some of the fastest systems and smartest minds in the industry., • Direct impact on trading performance and strategy execution., • Access to bespoke infrastructure, bleeding-edge hardware, and proprietary tooling., • Culture of excellence: flat structure, minimal bureaucracy, and relentless focus on performance., • Compensation at the top end of the market, with significant upside tied to impact. Apply Now!

I’m supporting an early-stage AI startup building genuinely transformational tooling for some of the most document-heavy industries out there. They’re now looking for a Staff or Principal Software Engineer who wants to design and ship AI-driven product capabilities end-to-end, from the first customer conversation all the way to production rollout and adoption. What you’ll be doing • Owning core product components from concept → architecture → build → deployment → customer adoption, • Designing scalable systems for data extraction, workflow automation, document analysis and multi-step content generation, • Using tools like Cursor, Copilot, and Claude Code to move fast and focus on high-level engineering decisions, • Collaborating with customers and internal teams to understand real business problems, • Implementing secure-by-default, privacy-first approaches, • Staying close to research and continually experimenting with new AI techniques, • Mentoring engineers and helping shape engineering best practices About you • Strong Python engineering background with a track record of shipping real product features, • Experience in high-growth, fast-moving environments, • Confident designing and maintaining APIs and integrations, • Comfortable working end-to-end across architecture, coding, deployment and customer delivery, • You think like a product engineer, working in tight loops, understanding the “why,” and focusing on real user value, • You use AI coding tools as leverage rather than novelty, • Curious, honest, quick to dive deep, and not afraid to challenge assumptions, • Strong communicator who can explain complex ideas clearly, • Ambitious, resilient, and motivated by solving genuinely tricky problems What’s on offer • £100k–£150k salary, • Meaningful equity, • Unlimited annual leave, • Enhanced pension, • £100 monthly wellbeing budget, • £1000 annual L&D budget, • Strong parental leave package This is a hybrid role and the expectation is that you can visit the London office once per week. Interview process • Short intro call with engineering leadership, • Live technical task + deep-dive, • In-person culture conversations with the wider team, including founders

Python Software Engineer – High-Frequency Trading We're working with a high-frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount. They build and run highly scalable, ultra-low latency trading systems that compete across major global exchanges. You’ll work on some of the most complex and rewarding engineering challenges in the financial technology space. The Role As a Python Software Engineer, you’ll collaborate with traders, quantitative researchers, and other developers to design, develop, and optimise trading infrastructure. You’ll be directly contributing to systems that operate at nanosecond-level latency and handle massive volumes of real-time data. Key Responsibilities • Develop and maintain systems for real-time market data, trade execution, and reconciliation., • Optimise performance and scalability across key trading infrastructure components., • Partner with cross-functional teams to improve tooling, observability, and automation., • Deliver robust, production-ready solutions in a fast-paced environment. Requirements • Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance domains)., • Exposure to C++ or willingness to work in multi-language environments is a plus., • Familiarity with SQL databases and Linux-based systems., • Interest in financial markets, real-time systems, or algorithmic trading. Why Apply? • Opportunity to work on high-impact systems used in live trading., • Collaborate with some of the brightest minds in quantitative finance and software engineering., • Competitive compensation package with a base salary, plus bonus. We are reviewing applications on a rolling basis. If this role sounds like a fit, apply now to learn more. Please note: Due to high application volume, we’re only able to respond to candidates who are shortlisted within 3 working days.

A leading ESG Data firm focusing on AI is seeking a talented and experienced Lead Software Engineer to join their growing technology team in London. In this role, the successful candidate will play a key role in executing new projects and supporting existing applications that drive operational efficiency across the business. The role will remain hands-on, with responsibility for designing systems, writing production code, and solving complex technical challenges, while also taking ownership of the people and processes that enable the engineering team to operate effectively. Working closely with the CTO, the successful candidate will help shape the company’s technical direction, drive delivery against the product roadmap, and contribute to building a high-performance engineering culture. On a day-to-day basis, the position balances technical contribution with leadership responsibilities. This includes mentoring and supporting engineers in their development, coordinating delivery to ensure key milestones are met without compromising quality or team wellbeing, and acting as the engineering representative in cross-functional discussions. The role will also play a key part in evolving the technology stack, tooling, and engineering practices, identifying strategic improvements that enhance the team’s ability to deliver reliable software at pace. Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

Applied AI Engineer: Up to 200k Xcede has just started working with one of the fastest growing Large-scale B2B Automation & Intelligence Company. Wanting to modernise how large organisations create, verify, and deliver high-stakes professional output, you will take ownership of core AI agent systems, building and scaling multi-agent services, implementing RAG pipelines, and developing robust model evaluation tooling. What you will be doing: Design, implement, and operate resilient backend platforms and APIs (ideally using Python with Django or FastAPI), working in close partnership with founders, product, growth, design, and engineering teams to ship impactful functionality, deliver production-grade AI capabilities such as RAG pipelines, multi-agent architectures, and evaluation systems, build end-to-end data workflows for model development and optimisation, and guide junior engineers while championing high technical standards. Requirements: • Over five years of hands-on experience working as a professional software developer, • Practical experience designing, delivering, and operating AI-powered applications in live production systems., • Proficiency with Python, • Good grasp on SQL databases, • Proficiency with Git, • Experience with cloud platforms, container-based deployment, and automated build and delivery pipelines., • Hands-on experience building asynchronous processing systems using background workers and task queue frameworks such as Celery, • Experience using Redis, • Practical experience developing, launching, and maintaining AI-driven systems in live production settings., • Demonstrated expertise in building retrieval-augmented architectures, managing agent-based AI frameworks, and continuously measuring and optimising system effectiveness., • Working knowledge of large language model assessment methods and tooling used to benchmark accuracy, robustness, and responsible behaviour. If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ | 02074226861

We're working with one of the most prestigious high-frequency trading companies in the world to find a verification engineer to help verify their complex low-latency FPGA systems. You'll be joining a team at the forefront of innovation in design verification, where you'll be supported in pushing the envelope alongside top pioneers in verification. Responsibilities • Design and maintain robust testbenches and targeted tests using the organisation’s mixed open-source and proprietary verification environment., • Develop and own comprehensive verification plans, ensuring coverage goals and test strategies are clear and defensible., • Identify and diagnose RTL issues quickly, working directly with designers to accelerate bring-up and resolve design defects efficiently., • Oversee and refine the test infrastructure, including management of test suites, CI pipelines, and the improvement of both internal and open-source tooling. Requirements • Strong debugging and analytical capability, able to isolate and resolve complex RTL and testbench issues efficiently., • At least two years of professional RTL functional verification experience for FPGA or ASIC designs., • Hands-on expertise in SystemVerilog and UVM, including stimulus development and code/functional coverage collection and analysis., • Proficiency in Python and/or C++ for building verification infrastructure, tooling, and automation. Apply below for more information!

Lead QA Engineer | Cypress & Node.js | Building the Analytics Engine for Global Credit Investors The Role In this role, you will act as the senior quality voice across a fast-scaling analytics platform used by institutional credit investors worldwide. You’ll own the end-to-end testing strategy, shape QA standards across multiple engineering teams, and ensure quality is embedded into every stage of delivery. You’ll work in a heavily automated environment, collaborating closely with engineers, data specialists, and product to improve both internal platforms and customer-facing tools. While you won’t carry a formal “manager” title, you will operate as the de facto QA lead — setting direction, influencing best practice, and raising the quality bar across the organisation. This is a hands-on role with genuine scope to shape how QA operates in a business automating complex credit workflows at scale. What They’re Looking For (Non-Negotiables) • 10+ years QA / Test Engineering experience, • End-to-end node testing, • Agile delivery experience in modern engineering teams, • Automation-first mindset with deep hands-on capability, • Experience operating as a senior or lead QA figure across multiple teams, • Confidence coordinating testing activity and advocating for quality at an organisational level What You’ll Work With • Cypress automation, • End-to-end testing using Node.js, • Functional testing, • Integration testing, • Data-heavy systems and analytics platforms, • CI-driven automated test tooling Nice to Have • Unit test writing capability, • Experience reviewing or enforcing unit test coverage with engineers, • Exposure to financial markets or complex data products, • Background in bonds, loans, corporate credit, commodities, or pricing data Why Join / Projects You’ll be joining a business building advanced analytics software designed to automate and enhance the day-to-day workflow of credit analysts. The platform is already trusted by leading investment banks, asset managers, and hedge funds, and is growing quickly as demand for smarter, faster credit insight increases. The environment is collaborative, data-driven, and quality-focused, with close interaction between engineering, data, and product. Senior QA Engineer / Lead QA | Cypress & Node.js | Building the Analytics Engine for Global Credit Investors

Hybrid – London | Global FinTech Innovator Our client is an established yet fast-growing FinTech specialising in high-performance market data analytics. Their platform ingests and processes terabytes of global trading data daily, powering decision-making for leading investment firms, exchanges, and research institutions. They’re now seeking a C++ Engineer to join their equities data team, helping scale the next generation of data-processing systems within a collaborative engineering leadership team. This role ideal for someone who thrives on solving deep engineering challenges in C++. The Role • Development for the firm’s equities data processing platform, working alongside other engineers and a senior architect.., • Develop and refine C++ market-data parsers and processing engines that handle high-frequency and reference data at scale., • Enhance system performance, fault-tolerance, and scalability, leveraging modern AWS-based distributed infrastructure., • Participate in a light-touch support rotation to ensure smooth daily operation of the firm’s data feeds. About You • Strong C++ development experience on Linux, delivering robust, performant systems into production, ideally 2 years or more., • Solid Python capability for orchestration, data tooling, and process automation., • Experience with large-scale financial or market data, particularly equities or other exchange-traded products., • Familiarity with modern engineering practices — CI/CD, source control, automated testing, and containerised deployment., • Excellent communication, organisational, and problem-solving skills. Contact: For further details or a confidential discussion about this opportunity, please reach out to Ciara Clarke.

A fast-growing AI-driven SaaS company is hiring three Senior Software Engineers to join its engineering team. These are hands-on roles with a strong backend and architectural focus, ideal for engineers who enjoy working in scale up or startup environments and want to build high-quality, cloud-native software that powers real-world automation. You’ll be part of cross-functional squads delivering modern, serverless, AI-enabled applications used in highly regulated industries. The company has a strong engineering culture, embraces AI-assisted development, and offers autonomy, impact, and the chance to help shape technical direction. Role: Senior Software Engineer Salary: £70,000 to £80,000 per annum Location: Fully Remote (UK-based) What you’ll be doing: • Design, build, and optimise scalable software using Node.js, TypeScript, React, AWS Lambda, Step Functions, DynamoDB, • Contribute to architecture discussions and ensure solutions are secure, cloud-native, and maintainable, • Use AI-assisted tooling to speed up development, testing, and debugging, • Work closely with Product, Delivery, and Technical Leads to refine requirements and deliver iteratively, • Mentor junior engineers and conduct code reviews to maintain quality and consistency, • Help drive best practices across DevOps, CI/CD, observability, and secure coding, • Collaborate with other squads to ensure technical alignment across the platform What you’ll need: • Strong full stack experience with a backend-first mindset, • Expertise in Node.js, TypeScript, React, and modern cloud engineering, • Hands-on experience with AWS serverless, particularly Lambda, Step Functions, DynamoDB, • Solid understanding of scalable architecture and performance optimisation, • Experience in scale ups, startups, or SMEs where speed, ownership, and adaptability matter, • Strong debugging, problem solving, and delivery skills, • Interest in or experience with AI-assisted engineering tools (e.g. GitHub Copilot), • Comfortable working in agile squads and contributing across the full SDLC What’s on offer: • £70,000 to £80,000 per annum, • Fully remote working across the UK, • Modern AI-first engineering environment, • Real ownership and impact in a growing product-led team, • Opportunity to shape tooling, workflow, and engineering standards, • Clear progression path into Technical Lead, • Collaborative culture with a focus on high-quality engineering and continuous improvement If you’re a hands-on engineer who enjoys building scalable backend systems, working cloud-first, and embracing AI-assisted development, this is a great opportunity to join a fast-moving team solving meaningful technical challenges.

AI Engineer – LLMs / Applied AI London (onsite) Salary up to £180k + equity We’re working with a fast-growing AI startup building proprietary algorithms that are redefining how complex knowledge work is done. With strong revenue traction, top-tier investors, and a deeply technical founding team, this is a chance to help build a category-defining company from the inside. What you’ll be responsible for: • Designing, building, and deploying production-grade AI algorithms that materially improve output quality in real-world applications, • Owning state-of-the-art evaluation pipelines to benchmark models, guide R&D, and support rapid iteration, • Researching and implementing advanced prompt engineering and LLM interaction techniques, • Working across the stack (primarily Python, but also Postgres and React) to ensure research translates cleanly into customer-facing product, • Moving fast from idea to production, with direct customer feedback loops The environment: • High-ownership, low-ego team of AI researchers and elite engineers, • Strong commercial traction with hundreds of enterprise users globally, • Recently closed a major funding round from top-tier investors, • Ambitious, execution-focused culture with very high engineering standards What we’re looking for: Must-haves: • Deep Python expertise and experience shipping AI systems into production, • Hands-on experience with LLMs, prompt engineering, and modern model architectures, • Proven track record building evaluation frameworks or ML pipelines used in live environments, • Comfort working end-to-end across the stack, • Clear communicator who can reason about complex technical trade-offs, • 4+ years experience total Nice-to-haves: • Publications at top ML conferences (NeurIPS, ICLR, ICML), • Experience with LLM evaluation tooling (e.g. OpenAI Evals or similar), • Strong GitHub presence or technically ambitious side projects What’s on offer: • Salary up to £180k + meaningful equity, • Work directly with a highly technical founding team, • Visa sponsorship and private medical insurance, • London-based, high-performance office environment with meals provided, • Opportunity to help shape a product and company with genuine breakout potential Apply below!

Role: Network Automation Engineer Skills: Routing/switching, Linux, Scripting, DevOps, Kubernetes Salary: £500k+ Location: London The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, or hyperscale infrastructure). They have experience building networks from 0→1 and are comfortable operating across everything from bare‑metal Linux to modern build, observability, and automation stacks. This role sits at the intersection of advanced networking, large‑scale ML/AI platforms, and high‑end automation. Network Engineer – Overview This elite trading firm is seeking a Network Engineer to join a small, high‑impact engineering group supporting ML/AI‑driven trading and research. You will work closely with teams running massive simulation, HPC, and network production workloads that depend on ultra‑reliable, ultra‑fast network platforms. You will own critical network infrastructure at scale and help shape the next generation of compute systems. Key Responsibilities • Own the full life cycle of network engineering: design, implementation, and ongoing operations for latency‑sensitive and throughput‑heavy environments., • Support large, distributed networks with expert knowledge of routing, switching, and multicast concepts, ensuring predictable performance under extreme load., • Build and evolve network monitoring, alerting, and observability, integrating telemetry into operational and analytical data stores to support ML/AI and systematic strategies., • Manage and optimise Kubernetes cluster networking and container orchestration, partnering with platform and ML infrastructure teams., • Work extensively on the Linux command line, contributing to automation, tooling, and production‑grade reliability across bare‑metal and virtualised estates., • Collaborate with DevOps and SRE functions to drive infrastructure‑as‑code, repeatable deployments, and highly automated change management. What You Will Work On • Low‑latency network paths supporting execution, research, and large‑scale ML/AI training and inference., • In‑house proprietary platforms spanning fibre and microwave networks, dense data centre fabrics, and high‑performance interconnects., • Platform, configuration, and code contributions that directly improve end‑to‑end latency, throughput, and reliability for critical trading and ML workloads., • Automation frameworks that reduce operational toil, increase determinism, and provide deep, real‑time visibility into network and system behaviour. Team Environment • Small, highly skilled networks and systems engineering team with broad autonomy and a mandate to move quickly., • Close collaboration with quants, researchers, ML engineers, and traders to co‑design infrastructure around real performance needs., • A culture centred on ownership, deep problem‑solving, and performance engineering, where data‑driven decisions and high‑quality automation are the default. Interested candidates are encouraged to apply for a confidential conversation.

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production — unlocking even the most complex sites. We’re currently seeking a Robotics Software Engineer to build the control software for electro-mechanical systems, develop tooling for data logging and analysis, implement low-level device drivers and create simulation and validation workflows to support rapid prototyping and fast iteration. Responsibilities: • Designing and implementing control software for electro-mechanical and robotic systems;, • Developing tooling for data logging, analysis, and system performance insights;, • Building and maintaining device drivers for fieldbus interfaces (EtherCAT, CAN);, • Creating simulation environments for system behaviour, testing, and validation;, • Rapidly prototyping new features and system behaviours to support early-stage development;, • Collaborating with mechanical and control teams for integration;, • Ensuring reliability, safety, and maintainability across all software components. Expertise: • Proficiency in C++ and Python;, • MS degree providing a good foundation in mathematics;, • First-principles approach to problem-solving with the ability to break down complex systems;, • Experience with real-time control systems for robotic platforms or mechatronics platforms;, • Experience with data logging, analysis pipelines, and performance tooling;, • Prior robotics experience is beneficial but not required. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave.

Locai Labs is The British Foundational AI Company based in Paddington London. We are dedicated to building world class large language models at the forefront of cost and efficiency. Our mission is to advance cutting-edge AI from within the UK by combining deep technical innovation with engineering excellence to create powerful scalable models that compete on the global stage. Our models are designed not just for performance, but for real-world deployment powering bespoke agentic applications that solve complex challenges across enterprise and consumer domains. The Role We are seeking a DevOps / Platform Engineer to maintain and enhance our existing platform infrastructure, with opportunities to contribute to backend development when needed. Our systems are already live and in active use, so your focus will be on reliability, performance, automation, observability, and clean, maintainable Infrastructure-as-Code. You’ll also support Python and Node.js backend services. This role is centred on operational excellence, continuous improvement, and technical ownership. The position is based at our Paddington HQ and reports directly to the Chief Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities • Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure, • Write, review, and manage modular, reusable Terraform code, • Operate and enhance CI/CD pipelines using GitHub Actions, • Containerise and deploy backend applications using modern tooling (e.g., Docker, Kubernetes), • Implement and manage comprehensive logging, monitoring, and alerting systems, • Contribute to the backend codebase for service integrations, internal tooling, and incident resolution, • Improve developer workflows and internal automation to increase team velocity, • Proven experience operating production-grade systems in a live environment, • 1–3 years experience in DevOps, Cloud Engineering, or Platform Engineering roles, • Hands-on experience with Infrastructure-as-Code using Terraform (modular and reusable patterns preferred), • Strong foundation in Linux, networking, and container technologies, • Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable), • Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control., • Familiarity with observability tools such as Prometheus, Grafana, ELK stack, or OpenTelemetry, • Experience with container orchestration platforms, particularly Kubernetes, • Ability to systematically troubleshoot and debug distributed systems, • Production experience with Google Cloud Platform (GCP), • Knowledge of security and IAM best practices, including role design, policy management, and access boundaries, • Experience optimising CI/CD pipelines for speed, reliability, and developer experience (e.g., caching, incremental builds, rollback strategies) You will join a small, highly technical team where your voice will be heard, and your contributions will directly shape our platform and products. We value ownership, curiosity, and a collaborative mindset. You’ll work onsite at our Paddington HQ, embedded within a close-knit engineering team that values transparency, continuous learning, and impactful work. This role reports directly to the CTO, offering a unique opportunity to influence technical direction from the ground up. Application Process As part of your application, please complete the accompanying form in addition to submitting your CV. Interview Stages: • Application Review – We assess your background and experience., • Take-Home Technical Assessment – A practical exercise to evaluate your engineering approach and problem-solving skills., • Technical & Team Fit Interview – A virtual discussion covering your technical expertise, past projects, and cultural alignment., • In-Person Assessment at HQ – A final visit to our Paddington office for deeper technical discussions, collaboration exercises, and team interactions., • Offer – Successful candidates will receive a formal offer following the final stage. If this sounds like you, no need to send us your CV. Just fill in the form below 👇 Strictly no agencies or recruiters. We are only accepting direct applications from candidates.

We're hiring an Android OS Engineer to help build the operating systems behind next-generation AR/VR devices. This is deep technical work across Android internals, AOSP integrations, system frameworks, and performance-critical components. If you enjoy working close to the metal and shaping the foundations of immersive hardware, you'll feel at home here. What's on offer • Annual Salary from £98,000-£110,000 doe and location, paid weekly via Principle HR, • Fully remote within the UK (must already be UK-based with full right to work), • 6-month PAYE contract, inside IR35, strong potential to extend, • Opportunity to work on OS components that ship on market-leading AR/VR products What we're looking for • 6+ years' software engineering experience, • Strong background in Android internals, AOSP, frameworks or OS-level development, • Proficiency in C++ and Java (Kotlin is useful but not essential), • Experience building or maintaining system components rather than apps, • Exposure to embedded, device-level or resource-constrained environments is beneficial What you'll work on • Integrate new Android/AOSP releases into custom AR/VR system frameworks, • Build, debug and optimise OS-level services, APIs and internal infrastructure, • Work with engineering teams across the UK and Europe on system design and stability, • Contribute to performance profiling, low-level debugging and system tooling, • Support the evolution of a complex, large-scale Android-based platform Interested? Next Steps... If you'd like to work on real AR/VR system software that reaches millions of users, apply now with your CV and I'll be in touch to discuss the next steps. Som |

Technical Quantitative Developer / Software Engineer with deep Computer Science expertise applied to Python, its libraries and ecosystem as well as professional experience with SDLC tooling, Linux, Docker, and SQL sought to join a specialist London Headquartered Quantitative Hedge Fund. You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment teams. Finance experience is not an essential criterion. This new, core team collaborate with Quantitative Researchers and Portfolio Managers to design and implement scalable solutions, addressing complex business needs, in particular delivering and maintaining critical components of the Investment Infrastructure, such as the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks, to be used by diverse Investment teams as part of their daily work. The target architecture will be written in pure Python, with SQL RDBMS, a Dockerised On-Prem RedHat Linux platform. Python is the primarily required skill, however solid professional profiency of building and shipping software in Linux/Docker environments as well as SDLC tooling such as GitLab CI/CD are also required. In return for your Computer Science and Engineer nous, full training on the Quantitative Finance, Hedge Funds and Systematic Investing will be provided. Essential Skills & Experience: • Undergraduate degree in Computer Science, Computing, Software Engineering or similar with top grades from a reputable institution. MSc or possibly PhD level academics in said subject(s) preferred., • Strong Python skills, as per 3+ years of professional experience in a technically and/or scientifically complex and competitive environment., • Proficiency in Linux and Docker including system administration and containerization for deployment and scaling., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices., • Knowledge of SQL for database management and query optimization. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

We are looking for a DevOps Engineer to join our team and actively engage with and support DevOps technology adoption and modernization by all application development teams at the firm. The candidate will provide implementation and support services for our existing and prospective DevOps technology stack, as well as work directly with developers to improve their overall experience and productivity via implementing our DevOps tools and processes. Additionally, the candidate will focus on modernization efforts, including the use of containers and container orchestration systems. The role will also work closely with the Cloud Engineering and Security groups to ensure that our DevOps technologies continue to support our cloud adoption, primarily via AWS and Azure. Responsibilities include: • Implement and maintain the system stability, security, and performance of on-premise DevOps tools, including Atlassian's suite (Jira, Confluence, Bitbucket, Bamboo), JFrog, and others., • Design and maintain scalable and reliable CI/CD pipelines to support software development and deployment processes across a wide range of technologies, including both native and containerized applications written in Java, C++, Python and other languages, including container deployment to Kubernetes., • Collaborate with application teams to integrate DevOps tools and methodologies into existing workflows, as well as containerize existing native applications., • Develop automation scripts and frameworks to streamline development and operational tasks., • Centrally monitor and manage code repositories, build systems, and deployment environments., • Provide technical guidance and support to development teams regarding DevOps best practices., • Evaluate and implement new DevOps tools and technologies. Requirements: • 4-6 years of proven experience in managing on-premise versions of DevOps tools, particularly Atlassian's suite and JFrog, as well as designing CI/CD systems involving both native and containerized applications, including deploying containerized applications onto Kubernetes., • Strong understanding of CI/CD principles and experience with pipeline design and implementation, especially with Atlassian Bamboo and Jenkins., • Strong proficiency in scripting languages such as Python, Bash, or PowerShell., • Solid understanding of version control systems, particularly Git., • Moderate proficiency in Java and C++, especially for basic code comprehension and ecosystem tooling (e.g. package management and compilation), • Moderate proficiency in infrastructure as code and configuration management tools such as Terraform and Ansible, as well as similar tools in the Kubernetes ecosystem including Helm and ArgoCD., • Excellent problem-solving skills and the ability to work independently or as part of a team., • Strong communication and collaboration skills to effectively interact with various stakeholders within the organization.

C++ • Python • OpenGL • Blender • Desktop Applications • Games Pipelines London preferred | Full-time | Visa sponsorship available Our Vision From blockbuster films and AAA games to immersive experiences, the demand for photoreal 3D content has never been higher - but creating photorealistic assets is slow, expensive, and manual with no current scalable solution available. At M-XR, our mission is to democratize the creation of high-quality 3D assets and empower brands, studios, and creators to build infinite photo-real 3D experiences. Our proprietary technology Marso allows anyone to capture real-world objects into production-ready photorealistic digital twins with unmatched material (PBR) accuracy - enabling the first real-world PBR capture pipeline that can operate anywhere. Marso is trusted by the most demanding studios in film and gaming. We see the future of 3D as AI-assisted, and we’re building the tech to make that happen. We are creating the world’s highest quality and most comprehensive 3D-PBR data-set and training the next generation of AI models to assist artist workflows. See the result yourself Passcode: scaneverything About the role ✨ We are looking for a Senior Software Engineer to own the 3D asset processing and rendering infrastructure in Marso Measure, our desktop material capture application for Windows. You'll work across the full product from 3D asset support, geometry processing, OpenGL rendering, Blender integration, backend connectivity, to Windows releases. At M-XR we developed Marso Measure as a way to capture real-world PBR material data alongside conventional photogrammetry from simple flash photography. Marso is now actively being used by leading studios, brands & museums to digitize previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world and with this data we are developing frontier AI models that will enable new ways to create physically realistic content - at high fidelity and scale. You will be a central part of the core engineering team at a scaling start-up that is re-imagining how content is created for photo-real AAA games and real-time experiences. This role is perfect for a C++ and Python expert that is passionate about 3D graphics, real-time rendering, and VFX/game workflows and wants to work at a startup connecting frontier AI to 3D asset creation. Where you will have impact 🚀 As a Senior Software Engineer you will own the 3D rendering and asset processing systems that power our material estimation technology and ship Marso Measure as the industry standard for material capture in high-end photogrammetry workflows. You will: • Build and scale Marso Measure as a central member of the core engineering team, driving it from internal tool to production-ready desktop application., • Architect and maintain the geometry and rendering modules that underpin our material estimation technology across product and research teams., • Deliver high-performance systems from raw image processing through to OpenGL-based rendering, optimized for high-resolution assets and production workflows. What you will do You'll work as part of the core team establishing Marso Measure as the industry standard for material capture in photogrammetry. Core Ownership • Own the end-to-end 3D geometry and rendering modules and pipelines across product, • Develop and maintain high-performance C++ modules for 3D asset processing, OpenGL rendering, and mesh-camera visibility calculations, • Build Python services for pipeline orchestration, automation, and integration with ML models Cross-Functional Collaboration • Work closely with ML researchers to integrate material estimation models into production pipelines, • Collaborate with the Data Platform team to ensure processing outputs meet quality requirements for training data, • Collaborate across Data and ML and Product teams to deliver and integrate 3D format support, 3D transformations, and render systems. Production & Release • Own the Windows release cycle for core modules, ensuring stability, performance, and quality, • Establish best practices for graphics programming, testing, and performance optimization, • Manage build systems and packaging for desktop distribution What we are looking for Must have • 5+ years of professional C++ development with focus on graphics, rendering, or high-performance computing, • Strong Python skills with experience building production services and tooling, • 3D graphics expertise: OpenGL, shader programming, geometry processing, UV mapping, • Cross-platform build systems: CMake, package management, • Product delivery experience: shipping desktop applications or production tools to end users, • Systems thinking: understanding of performance optimization, memory management, and architectural trade-offs Strong Plus • Experience with Blender Python API or other DCC tool integration, • Knowledge of PBR rendering, material systems, and game engine workflows (Unity/Unreal), • Photogrammetry or computer vision pipeline experience, • Windows desktop development: Electron, IPC, installer creation, • Familiarity with 3D file formats (Alembic, USD, glTF, FBX), • Background in VFX, games, or virtual production workflows, • Experience with ML pipeline integration (PyTorch, model inference optimization) What we offer • The chance to shape the future of 3D content creation in a fast-moving startup, • Direct contact & close relationships with some of the biggest game & film studios globally using M-XR's technology, • Work with passionate engineers, artists, and researchers at the frontier of graphics & AI, • Unique opportunities for professional growth, autonomy, and leadership, • Competitive salary and equity, • Flexible hybrid working, • Visa sponsorship for international candidates We look forward to your application! Best, M-XR Team

About MosaiQ MosaiQ is a fast-growing AI company transforming the way professional-services firms operate. We help consulting teams, private equity funds, investment advisors, and other knowledge-driven organisations turn their expertise and workflows into AI-powered systems — in days, not months. Our uniqueness: • We reverse-engineer real work, map knowledge, and build hybrid AI + human workflows, • We augment experts rather than replace them, • We deploy custom AI into real business processes with measurable impact, • We work directly with decision-makers who value speed, quality, and judgment The Role We are looking for a Business Operations Intern to help transform MosaiQ into a fully AI-augmented organisation. This role is ideal for someone who is curious, proactive, and excited about applying AI to real work — not talking about it. You will observe how the company operates, identify repetitive work, break it into steps, and build AI-powered automations and internal tools that make us faster, smarter, and more efficient. You will work closely with the founder and collaborate with senior engineers who can support your builds. You will own execution and help the company operate as though it has twice the headcount. Responsibilities Process Identification & Mapping • Observe and document recurring manual tasks, • Identify bottlenecks and opportunities to automate, • Translate messy internal workflows into structured steps AI Tools & Automation Build • Use modern AI tools to automate repeated tasks, • Build workflows, internal assistants, and AI agents, • Test and iterate based on performance and feedback Internal Tooling • Create templates, dashboards, and internal utilities, • Support automation for research collection, CRM enrichment, content generation, etc. Company Enablement • Help ensure internal knowledge is captured, • Train the team on tools you build, • Track adoption, usage, and areas for improvement Who You Are You will thrive here if you: • Are curious, resourceful, and hands-on, • Enjoy figuring out how things work behind the scenes, • Use AI tools actively to improve your own workflow or output, • Think in workflows and systems rather than individual tasks, • Want responsibility early rather than watching from the sidelines Bonus points if: • You have used workflow or automation tools (Zapier, Make, Langflow, Replit, Claude Projects, Copilot Studio, Notion automations, etc.), • You have built a bot, script, dashboard, automation, or internal tool — even informally, • You have exposure to product, engineering, or ops environments, • You have tried light scripting or API integrations (not required) Mindset That Matters • Bias toward action — you build and iterate quickly, • Builder mentality — small experiments first, scale once validated, • Ownership — you drive tasks without waiting to be instructed, • Comfort with ambiguity — fast-changing environments energise you, • Direct collaboration with experienced AI engineers and builders, • Real-world experience building AI-powered workflows and agents, • A portfolio of practical tools that you delivered end to end, • Insight into how AI reshapes work inside a company, • The chance to turn the internship into a full-time role if the fit is right