Tooling engineer jobs in United Kingdom

Senior AI Platform Engineer London, 4 days a week on site Up to £140,000 Overview We’re partnering with a high-growth technology company, supporting them in hiring a Senior AI Platform Engineer to help scale their next-generation AI capabilities. This organisation is moving beyond experimentation - focusing on building robust, production-grade AI systems that deliver real business impact. With significant investment in AI, platform engineering, and cloud infrastructure, they are creating the foundations for scalable, secure, and reliable AI adoption across their products. This is a unique opportunity to join at a pivotal stage, shaping the core AI platform that enables teams to rapidly prototype, deploy, and operate AI solutions in production. What You’ll Do • Build and scale a core AI platform for LLMs and AI applications, • Develop APIs and tooling for easy AI adoption across teams, • Orchestrate multi-model and agent-based workflows, • Implement RAG pipelines and manage vector search systems, • Ensure strong monitoring, security, and governance, • Automate deployments using Kubernetes, Terraform, and CI/CD, • Collaborate with product, security, and engineering teams What You’ll Bring • Strong software/platform engineering experience (Python, Go, or Java), • Experience with distributed systems and cloud (GCP preferred), • Hands-on Kubernetes and cloud-native tooling, • Familiarity with LLM frameworks (e.g., LangChain, CrewAI), • Experience with vector databases and RAG, • CI/CD and infrastructure-as-code skills, • Understanding of AI reliability, monitoring, and governance Why Join Play a key role in building the platform that underpins AI at scale - combining cutting-edge AI technologies with solid engineering foundations.

Data Engineer (Contract) – Airbyte Experience Essential We’re working with a company looking for a Data Engineer contractor to support the development and optimisation of their data platform. This role will involve working across a range of core data engineering activities, including building and maintaining pipelines, integrating data sources, and improving data infrastructure. A key requirement for this role is strong hands-on experience with Airbyte. The team relies heavily on Airbyte for data ingestion and pipeline orchestration, so candidates must have proven experience implementing, managing, and scaling Airbyte pipelines in production environments. Key Responsibilities • Build and maintain scalable data pipelines and ingestion workflows, • Integrate multiple data sources into the company’s data platform, • Work with stakeholders to ensure reliable and efficient data flows, • Monitor, maintain, and improve existing data infrastructure, • Use Airbyte extensively to manage data ingestion and pipeline workflows Requirements • Strong experience in data engineering and modern data platforms, • Hands-on experience with Airbyte is essential, • Experience building and maintaining ETL / ELT pipelines, • Comfortable working with cloud data environments and modern data tooling, • Experience integrating multiple data sources and APIs Practical Details • Outside IR35, • 2 days onsite per week (can be discussed), • Up to £575/day, • 6 months

Senior Full Stack Engineer (Frontend Focus) Location: London (Hybrid) 1 day a week Salary: up to £90,000 Evantis Technology is working with a fast-growing digital marketplace platform operating in the creative/consumer space, helping them hire a Senior Full Stack Engineer with a strong frontend focus. The business is building technology that supports the full lifecycle of a marketplace platform — from partner onboarding and product creation through to customer purchasing experiences and operational tooling. Their engineering team works closely with product, growth and commercial teams to build scalable systems that support both the customer-facing platform and internal tools. This role will play an important part in improving and evolving the platform as the business continues to grow internationally. What you’ll be working on • Building and improving customer-facing product experiences across the marketplace platform, • Developing frontend-heavy features while contributing across the full stack when needed, • Working on internal tooling and backend services that support marketplace operations, • Collaborating closely with product, design and growth teams to deliver high-impact features, • Contributing to technical discussions around architecture, scalability and product direction What they’re looking for • Strong experience as a full-stack engineer with a frontend bias, particularly with modern JavaScript / TypeScript frameworks, • Comfortable contributing across both frontend and backend services, with experience working with APIs and distributed systems, • Experience working with backend technologies such as Go / gRPC or similar backend stacks (desirable but not essential), • Experience building and deploying applications in cloud environments such as GCP, AWS or Azure, • Product-focused mindset with experience building consumer-facing digital products or marketplace platforms, collaborating closely with product and non-technical teams Nice to have • Experience working in marketplace, SaaS or high-growth product environments, • Exposure to modern backend services and APIs, • Interest in building scalable platforms used by a global audience You’ll be joining a product-led engineering team working on a platform that combines technology, commerce and creativity. The team values engineers who are comfortable owning features end-to-end and contributing to product decisions. If you’re interested, please apply!

Senior Data Engineer | High-Growth Data Platform | Hybrid Build the foundational data mesh architecture for a premier global intelligence firm. The Opportunity This is a high-impact individual contributor role at the heart of a leading intelligence platform’s data engineering capability. You will join a core team of senior engineers responsible for designing and evolving the foundational infrastructure and services that power data across the entire organisation. This is a deeply hands-on role that demands strong technical expertise and the ability to influence across teams without formal authority. You will drive the platform toward a data mesh architecture, establishing the standards that allow domain teams to operate autonomously while maintaining trust across the ecosystem. What You’ll Be Doing • Design and build core platform components that form the foundation of a scalable data platform., • Drive the progressive realisation of a data mesh architecture and self-service tooling., • Evaluate and evolve the data stack, making informed recommendations on tools and services., • Define architectural principles and standards for data formats to ensure interoperability., • Implement sophisticated access controls and data masking capabilities for security and privacy., • Build automated quality gates and data contract validation at ingestion and serving layers., • Develop an observability framework and alerting mechanisms for pipeline health and incident response., • Design strategies for data discoverability, lineage tracking, and metadata management. What They’re Looking For • Extensive experience building production-grade data platforms using dbt, Airflow, Spark, and Snowflake., • Practical knowledge of data mesh principles and federated data architectures., • Solid understanding of AWS cloud infrastructure, including networking, IAM, and compute., • Experience with data cataloging, lineage tools, and metadata management frameworks., • Ability to influence technical direction and drive alignment across teams without formal authority., • Strong prioritisation instincts, balancing deep technical work with organizational needs. Nice to Have • Familiarity with the Apache Iceberg table format., • Knowledge of data contract frameworks and schema validation tooling. Why Join? You will join a high-performance team where engineering quality is a priority and technical leadership is practiced through mentorship and shared standards. This role offers the chance to move beyond standard pipelines into advanced areas like data mesh and automated governance. You will have the autonomy to shape a modern architecture and the opportunity to see your work directly empower engineers across the business

Senior AI Engineer / Data Scientist Location: London - hybrid working The Opportunity: You’ll join a well-funded, early-stage startup building AI-driven software for regulated financial institutions. The platform uses AI and machine learning at its core to help organisations solve complex operational and compliance challenges. The engineering team is building a modern microservice architecture in AWS with a strong focus on automation, testing, and rapid deployment. The team values clarity, transparency, and craftsmanship. AI is not only central to the product, but also to how the team builds, experiments, and works day-to-day. The company operates with a London hub but supports flexible hybrid or remote working. What Success Looks Like: • AI outputs that are consistently accurate, actionable, and valuable for customers, • Rapid experimentation and iteration that drives product-market fit and scalable solutions, • A system that learns and improves through real user feedback, • High-quality, well-tested AI systems that can confidently operate in production What You Bring: • A naturally curious mindset, you constantly ask “what if?” and explore better approaches, • A proven track record delivering ML / AI solutions into production environments, • Strong Python expertise and experience with modern AI/ML frameworks such as:, • PyTorch, • TensorFlow, • scikit-learn, • NumPy, • Pandas, • Hands-on experience with Generative AI, agentic AI systems, and AI testing frameworks, • Strong communication skills and a passion for clear documentation and knowledge sharing, • The ability to thrive in fast-moving, ambiguous environments where experimentation is encouraged What You’ll Work With: Tech Stack • Frontend: React, • Backend: NestJS, Python (FastAPI), LangChain, • Test Automation: Pact, Jest, Cypress, Pytest (including AI testing), • Infrastructure: AWS ECS, PostgreSQL, Kafka, • Infrastructure as Code: Terraform (native AWS services where possible), • CI/CD: GitHub-based tooling What’s in it for you: • Significant ownership over core AI systems and product capabilities, • The opportunity to evolve an MVP into a market-leading platform, • Direct collaboration with founders and senior leadership, • A culture that values innovation, learning, and experimentation, • Flexible working arrangements (London hybrid or remote), • Competitive compensation for senior talent, • Access to cutting-edge AI tools and infrastructure Apply below if you're interested!

💡 Role Overview We’re hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you’ll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity. You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs. In this role, you will: • Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction, • Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily, • Build and maintain our data warehouse and internal data architecture, • Develop automation systems leveraging LLMs, agents, and modern AI tooling, • Help define engineering standards and culture as we scale 🔥 About You We’re looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective. You likely: • Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders, • Communicate clearly and can translate ambiguous business needs into structured technical solutions, • Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems), • Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows, • Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt), • Experience with Node.js and TypeScript is a plus, • Thrive in fast-paced startup environments and feel energized by ambiguity, • Move quickly and constantly look for ways to ship faster Bonus: Experience designing or building AI-powered internal tools or automation systems. 🚀 Why Join Us • Autonomy with mentorship: You’ll be the first London-based engineer with high ownership, while receiving guidance from a senior engineering team in NYC. You’ll travel to NYC for onboarding and project collaboration., • Exceptional traction: 10× revenue growth in 2025, profitable, and trusted by leading firms including MBB, Big 4, and top-tier mega-funds., • Flat structure: Minimal layers between you and leadership. Direct access to the CTO and CEO, with meaningful responsibility from day one.

London, UK Contract Up to £700p/d (Outside IR35) We’re working with an early stage start up focused on AI HR tooling to drastically improve performance and efficiency. They are a small, focused team looking for a Senior Backend Engineer to help them scale up their AI platform and make a real impact. They are looking for an engineer with strong commercial use of either Java, Kotlin or Scala and proficiency with Python to help modernise their codebase. Responsibilities: • Build and scale backend systems for AI-driven automation products, • Collaborate with product and frontend teams on planning and decision-making, • Contribute to architecture, design, and scaling efforts, • Manage CI/CD pipelines and cloud infrastructure deployments, • Collaborate directly with our CEO and CTO to architect end-to-end backend solutions Key Requirements • Strong programming skills in the JVM ecosystem, • Some proficiency in Python, • 6+ years of backend development experience, • Proven experience with microservices architecture and RESTful APIs, • Proficient with both NoSQL and SQL databases, • Excellent communication skills, both written and verbal Why Join? • Salary: Competitive day rate of up to £700p/d, • Room for innovation with new tech, • Exposure to AI-driven products, • Hybrid working model and a collaborative culture, • Be a part of of a curious, motivated, nimble team making a real impact **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

An exciting opportunity for a Java Software Engineer has arisen with a leading semiconductor company specialising in high-performance mixed-signal processing, based in London. This is an exciting opportunity for a Java Software Engineer to design and evolve cross-platform applications, SDKs, and developer tooling. You’ll work closely with UX specialists, hardware teams, and software engineers to build polished internal tools that power advanced hardware configuration and tuning workflows. You will commit to a hybrid working model, with a minimum of one day per week onsite in the London office. Experience for the Java Software Engineer includes: • Desktop application development, ideally with Java, • UI frameworks e.g. JavaFx, Swing, Qt, • Object-oriented design and development, • Multithreaded development, • Desired: build automation (CI/CD) and Docker If you are a Java Software Engineer looking for a new challenge within an innovative and award-winning engineering culture, then please apply today to learn more.

Python Software Engineer - Observability Engineering - Quant Research (You must have the right to work in the UK to be considered for this position) London (Hybrid) | c.£150k base + bonus • I’m working with a top-tier quant trading firm building one of the most advanced automated research and trading platforms globally., • They’re looking for a Python Software Engineer to join their Observability Engineering team, building the telemetry and monitoring infrastructure that underpins hundreds of services across the organisation. The Role • Build and maintain systems that handle cloud-scale volumes of telemetry data, • Extend and maintain OpenTelemetry collectors, SDKs and exporters, • Design and improve telemetry pipelines and observability backends, • Work with engineering teams to implement instrumentation standards and “Golden Paths”, • Improve incident response and operational visibility through better telemetry coverage, • Build tooling and libraries that improve developer productivity and platform observability Tech Environment • Python, • Kubernetes, • OpenTelemetry, • Prometheus / PromQL, • VictoriaMetrics, • OpenSearch, • Grafana, • Terraform, ArgoCD, Helm, Jenkins What they’re looking for • Strong Python backend engineering experience, • Experience working in Kubernetes / cloud-native environments, • Interest or experience in observability, monitoring or telemetry systems, • Comfortable building distributed systems and internal developer tooling, • Strong problem-solving skills and the ability to collaborate across engineering teams Package If you’re interested in building large-scale observability platforms in a high-performance engineering environment, please apply.

Senior Site Reliability Engineer (AWS Python JS) - Lead Role - UK Location: London (Hybrid) Salary: £100k - £120k per year Do you have a software engineering background with a passion for infrastructure, and are you ready to take the lead in building a world-class Site Reliability Engineering function from the ground up? You could be progressing your career in a high-impact, foundational SRE role, joining a successful and profitable Australian start-up as their first dedicated UK SRE hire. You will be the technical and operational lead for critical systems, setting the standard for a team that will be built around you. You'll receive full support and handover from existing UK-based team members to ensure a smooth start. This role is ideal for an independent, ambitious engineer who is hungry to step into a leadership position within the next few years. As the Senior Site Reliability Engineer, you will be expected to drive significant, end-to-end improvements across the entire infrastructure lifecycle. Your responsibilities will include: -Improving Deployment Speed: Taking the lead on optimising and accelerating software delivery processes. -Pipeline Implementation: Designing and implementing robust deployment pipelines and comprehensive test suites. -Performance & Monitoring: Designing and building a state-of-the-art performance measurement and monitoring system. -Operational Excellence: Improving end-to-end operational practices to enhance system reliability and efficiency. -Cost Management: Strategically driving down infrastructure costs for our AWS environment. -Security: Helping to improve product security processes and practices. -Third-Party Leadership: Acting as the primary technical lead, interacting with our third-party providers in the UK to improve performance, reliability, and cost-effectiveness of integrated services. About you: -You are a Software Engineer at heart with a deep-seated passion for infrastructure and systems. -You have significant commercial experience with AWS -You are comfortable and proficient with JavaScript (JS) and Python for scripting, automation, and tooling. -You thrive working independently and are eager to take ownership of complex, high-value projects. -You have the ambition and drive to lead a team when the opportunity arises. -You must have full working rights in the UK. What's in it for you: -The chance to be the founding member of a new SRE function, with a clear path to leadership. -Ownership over the design and implementation of core operational systems. -A competitive salary and benefits package. -Flexible working arrangements. Apply now to find out more about this Senior Site Reliability Engineer opportunity and take the next step in your career.

Senior Full Stack Engineer (Node.js / React) Location: London (Hybrid) Salary: up to £100,000 We’re working with a well-funded, early-stage startup building a next-generation, AI-powered platform in the fintech/regtech space. They’re looking for a Senior Full Stack Engineer to play a key role in scaling a modern microservices architecture and shaping the future of the product. What you’ll be doing: • Designing and building scalable microservices using Node.js (Nest.js) and React, • Driving an API-first architecture with strong focus on service-to-service communication and contract testing, • Owning features end-to-end, from idea to production with a strong feedback loop from real users, • Improving system performance, reliability, and observability across a distributed environment, • Contributing to a modern DevOps culture with CI/CD, automated testing, and infrastructure as code Tech stack: React, Node.js (Nest.js), Python/FastAPI, AWS (ECS), PostgreSQL, Kafka, Terraform, GitHub CI/CD Testing: Jest, Cypress, Pact, Pytest What they’re looking for: • Strong experience building distributed systems / microservices architectures, • Deep hands-on expertise with Node.js and React, • Solid understanding of API design, event-driven systems, and contract testing, • Experience working in fast-paced, ambiguous environments, • Passion for automation, clean code, and solving real customer problems Why join? • End-to-end ownership of impactful features and systems, • Work on a cutting-edge platform leveraging AI/ML, • High-trust environment with strong engineering culture, • Flexible working (hybrid London or remote), • Direct exposure to founders and influence over technical direction If you’re excited by building scalable systems, working with modern tooling, and being part of a high-growth engineering team - let’s chat. Message me directly or apply to learn more!

Senior ML Engineer: Up to 115k Xcede is partnering with one of Europe’s leading applied AI organisations. The company collaborates with governments and major enterprises to address complex, high-impact challenges using machine learning and advanced data science techniques. One of the standout aspects of this organisation is its reputation as a tech unicorn valued at over £1bn, recognised for delivering safe and practical AI solutions at scale. They are currently looking to bring in Senior Machine Learning Engineers to join their Financial Services unit. The ideal candidate will have experience working as an ML Engineer with Large Language Models (LLMs), particularly across the application, deployment, and productionisation of ML systems in financial environments. In this role you will: • Design and deploy machine learning systems that operate in real-world production environments, • Build scalable ML tooling and infrastructure to support the efficient development, testing, and deployment of models, • Collaborate closely with data scientists, engineers, and business stakeholders to tackle key client challenges, • Contribute to technical architecture decisions, ensuring ML systems are scalable, reliable, and effective, • Establish and promote best practices for deploying ML systems at scale, • Act as a technical advisor for clients and partners, translating complex ML concepts into practical solutions Requirements: • Strong understanding of the end-to-end machine learning lifecycle, • Strong Python programming skills, • Experience working with cloud infrastructure such as AWS, • Hands-on experience with Docker and Kubernetes for scalable deployments, • Solid grounding in machine learning concepts, statistics, and probability, • Ability to communicate effectively with both technical and non-technical stakeholders, • Comfortable working in fast-paced environments with ownership over delivering solutions If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ | 02074226861

Manufacturing Process Engineer (NPI Projects) - London (Greenwich) | £50-55,000 + Bonus + Ex. Benefits | Permanent About the Role We’re looking for a Manufacturing Process Engineer to help shape the future of assembly processes. In this role, you’ll design and implement lean improvements that make production safer, more efficient, and more sustainable. You’ll work closely with R&D, support projects from concept through to delivery, and ensure processes meet the highest standards of quality and compliance. What’s in it for you? • Competitive pay and a secure long-term contract, • A collaborative and supportive team culture, • The chance to make a real impact on products that support critical global infrastructure, • Work with cutting-edge technologies that are making a difference worldwide What you’ll be doing • Design & Improve: Create lean process improvements for tools, equipment, and assembly methods, • Deliver Change: Manage projects from concept to handover, keeping efficiency and timelines on track, • Validate & Test: Ensure new tooling and processes are reliable and compliant before production, • Keep it Safe: Lead PUWER assessments, risk analysis, and safety compliance, • Collaborate: Partner with R&D, training schools, and wider teams to support innovation and development, • Measure & Monitor: Define KPIs, track progress, and ensure budgets and quality targets are met What we’re looking for • A degree in Mechanical, Industrial, Production, or related Engineering field, • Hands-on experience in manufacturing or technical environments, • Knowledge of ISO9001/TL9000, Lean, Six Sigma, and regulated industries, • A methodical problem-solver with excellent organisational skills, • Willingness to learn systems such as SAP and sDMS How to apply If this sounds like the right role for you, we’d love to hear from you. Please apply via LinkedIn.

Founding Engineer (Platform) Location: Remote first (global, UK timezone) Compensation: Up to £120,000 + significant equity Type: Full-time What is DeepFlow? DeepFlow is the hyperscaling platform. We launch and scale AI-native businesses. An operator with 10 years of domain expertise pairs with DeepFlow’s platform and engineering support to build a business that would previously have needed a team of 50. You’re building that platform. Where we are now • Platform live with paying customers across law, finance, recruitment, and media, • Launching our founding cohort through DeepFlow Foundry: deploying agents into real revenue-generating businesses, • Preparing for a significant raise to scale from 2–3 companies to 10+ by September, with a roadmap to 100 in 2027, • Research team published at AAAI 2026 (invited oral) and DAI 2025, with work adopted by top global universities and companies The Role You own the platform. The orchestration engine, the infrastructure, the client-facing dashboards, the integrations, the APIs - everything that isn’t the AI agents themselves. Your architecture decisions directly determine whether the businesses on our platform succeed at scale. This is a full-stack, high-ownership founding role. You work directly with the CTO/CPO and CSO to shape product direction. Significant equity reflects the scope and impact of the position. What You’ll Build • Orchestration Engine: Event-driven task graph execution - breaking complex business workflows into composable steps, delegating to the right agent or human at the right time, with robust failure handling and retries., • Core Platform: Auth, API endpoints, integrations (Slack, GSuite, CRMs, accounting tools), and dashboards. Everything that Foundry companies and their clients interact with daily., • Infrastructure: Docker, EKS on AWS, CI/CD, monitoring, and cost management. You own the full stack from development through to production., • Frontend: Client-facing dashboards, internal tools, and admin interfaces. This is a genuine full-stack role - you own the frontend, not just unblock yourself on it., • Product Direction: You work closely with the founding team to translate cohort feedback and client needs into engineering decisions. What to build matters as much as how you build it. What We’re Looking For • Strong software engineering - you write clean, production-quality code and you ship fast. You’ve built and deployed real systems, not just prototypes., • Genuinely full-stack. Backend, infrastructure, and frontend (React/TypeScript). You don’t wait for someone else to build the other half., • Experience with event-driven or workflow orchestration systems. You understand what breaks when you move beyond simple request-response., • Comfortable with AWS (EKS, IAM, networking) and modern CI/CD practices., • Fluent with modern AI tooling - you use Cursor, Claude Code, or similar daily and it makes you faster. AI tooling is not optional here., • Comfortable with ambiguity and startup pace. Priorities shift weekly based on cohort feedback., • Right to work in the UK permanently. We care less about • Your degree (or lack of one), • How many years you’ve been working - we care about what you’ve shipped, • Whether you’ve published papers Tech Stack • Backend: Python, • Frontend: TypeScript, React, Vite, • Infrastructure: AWS (EKS), Docker, Inngest (event-driven orchestration), • Tools: Cursor, Claude Code, GitHub Why Join • Ownership. Significant equity as a founding engineer. The platform you build is the platform every Foundry company runs on., • Real traction. Paying customers, founding cohort live, and a significant raise in preparation. What you build in the next 6–12 months directly determines whether we hit 10 companies by September., • Exceptional team. Co-founder who sold his AI company to WPP for $100M. Product leader who scaled a Meta platform to 400K+ users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead., • Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. We’re hiring immediately. The process is fast: we make offers within one week.

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 GUI, 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.

Software Engineer (Senior) | C#/.Net & SQL Server | Systematic Hedge Fund Trading Live Markets • Salary: £120,000 – £160,000 + bonus (up to 100%), • Location: London (city) (primarily office-based) My client is a long-established systematic hedge fund, just under 20 people in total, with roughly half the business sitting in engineering. They’ve been running for over two decades, quietly successful, and very deliberate about how they build both software and teams. You’d be sat directly on the trading floor in London, working alongside traders, engineers, and the CEO day to day. It’s a tight-knit environment where technology isn’t a support function, it is the business. The systems you’ll be working on are the ones executing trades in live markets. The role itself sits right at the centre of that. You’ll be evolving a long-lived execution platform while contributing to a broader modernisation effort. Day to day, that means a mix of careful refactoring, incremental improvements, and responding to real-time trading needs. You’ll be speaking directly with end users, making changes that have immediate impact, and shaping how the platform develops longer term. Non-Negotiables • Degree in STEM subject (Computer Science, Maths, Physics or similar), • 2:1 or above (or equivalent), • C# / .Net (strong production experience), • SQL / relational databases, • Financial services engineering (direct exposure required), • Trading systems or execution platforms, • Hedge fund / systematic trading environment, • Algorithmic trading software development, • Software testing and safe refactoring practices, • Clear technical communication (working with traders and senior stakeholders) What You'll Work With • C#, • .NET Framework, • SQL Server, • WinForms desktop applications, • Azure, • Kafka, • Automated testing frameworks, • Legacy platform modernisation Nice to Haves • Futures, options, or crypto markets, • Python, • DevOps tooling, • High-availability systems, • Large-scale refactoring work, • Containerisation (Docker) Why Join / Projects This is one of those environments where the gap between engineering and trading doesn’t really exist. You’ll be sat with the people using what you build, which changes the nature of the work quite a bit. There’s a genuine mix of challenges here. Part of the role is careful, considered work on an established platform that’s been evolving for years. The other side is contributing to where it goes next, with plans around modernising the architecture and improving how new strategies are built and deployed. It’s also a small team, which means your work doesn’t disappear into a backlog. You’ll see the outcome of what you build, and you’ll have a say in how things are done. Access to leadership is direct, and expectations are high, both technically and academically. Employee Benefits • Bonus up to 100% of base salary, • Highly collaborative, front-office environment, • Direct access to traders and senior leadership, • Long-term, engineering-led culture Software Engineer (Senior) | C#/.Net & SQL Server | Systematic Hedge Fund Trading Live Markets

Junior AI / Automation Engineer London We are working with a highly entrepreneurial investment environment building out a new real estate platform in London. They are looking for a junior / early-career AI and automation-focused hire to help create internal tools, streamline workflows, and support the team with practical AI-enabled solutions from a relatively blank sheet of paper. This is not a pure academic data science role, and it is not a standard corporate graduate seat. The opportunity is much more about ownership, practical build work, and helping shape how a lean team uses AI and automation from the outset. The role is likely to suit someone who enjoys building useful things, working closely with stakeholders, and applying AI in a practical business setting. What you’ll be doing: • Building internal tools and lightweight platforms to improve workflow efficiency, • Supporting automation across reporting, document handling, internal processes, and knowledge workflows, • Working with AI / LLM-based solutions to solve practical business problems, • Helping create bespoke internal systems rather than relying solely on off-the-shelf software, • Collaborating closely with senior stakeholders in a lean, commercially focused team What they’re looking for: • Early-career profile, likely graduate to c.1–3 years’ experience, • Strong hands-on ability with Python and practical software / automation tooling, • Interest in AI, LLMs, workflow automation, and internal tool-building, • Builder mentality — someone who enjoys creating, testing, and improving things, • Comfortable working in a more entrepreneurial, less structured environment, • Strong academic background preferred Useful experience may include: • FastAPI, React, TypeScript, Streamlit, APIs, • LLMs, RAG, agentic workflows, automation tools, • Internal tools, dashboards, workflow systems, CRM-type platforms, • AI-enabled process improvement or business automation This is a particularly strong opportunity for someone who wants genuine ownership early in their career and enjoys building practical solutions that have visible commercial impact. If this sounds of interest, please apply or get in touch directly.

Senior iOS Engineer - £100,000 – £120,000 | London | Hybrid 3 days a week in office. The Opportunity We’re partnered with a scaling SaaS business building intelligent mobile experiences for frontline and distributed workforces. This is a high-ownership iOS role within a small, high-impact mobile function, where you will have real influence across product direction, architecture decisions, and new strategic initiatives. The team is growing from 2 iOS engineers to 3, working alongside 3 Android engineers in aligned squads. This is a role for someone who enjoys autonomy, responsibility, and real product influence rather than being limited to component-level development. You’ll be joining a product-led engineering environment where mobile is a core part of the platform strategy. The Product The platform is a mobile-first employee experience and operational tooling product designed for distributed and frontline workforces. The team is currently focused on several strategic areas including: • AI-driven knowledge and search capabilities, • Smarter task and workflow management tooling, • New mobile experiences supporting operational productivity, • Ongoing platform and feature evolution Work will be a mix of new product development and ongoing platform refinement at scale. The Mobile Team & Culture You’ll be joining a dedicated mobile function within a collaborative, high-visibility environment. There is genuine influence across product and engineering, with engineers encouraged to contribute ideas and help shape technical direction. The team works in aligned iOS and Android squads, with flexibility depending on candidate strengths. A notable strength of the organisation is team longevity and retention, with several engineers having worked across the business for extended periods. This reflects the quality of the environment, leadership, and engineering culture. The team values ownership, speed, and pragmatic delivery over rigid process. The Tech Stack & Technical Expectations Strong, hands-on iOS development experience is essential, with a focus on deep technical understanding rather than surface-level implementation. The modern mobile stack includes: • SwiftUI (essential), • Full lifecycle mobile development (architecture through to delivery), • SQL databases, • Realm, • Familiarity with reactive patterns where relevant The team values engineers who understand how systems work at a deeper level, not just how to build features. What You’ll Be Doing • Building new strategic mobile features and experiences, • Contributing to mobile architecture and platform decisions, • Supporting intelligent product capabilities and workflow tooling, • Delivering high-quality production mobile software, • Improving and evolving existing mobile systems This role balances innovation with practical product delivery. What We’re Looking For ✅ Senior or strong mid-level iOS engineer ✅ Strong experience with SwiftUI ✅ Depth of understanding across mobile architecture ✅ Experience working in smaller teams or scale-up environments ✅ Ownership mindset and comfort working with ambiguity ✅ Pragmatic, product-focused engineering approach We are looking for specialists rather than generalists. Why This Role? ✅ Small, high-impact mobile team where your work directly shapes the product ✅ Opportunity to work on intelligent product experiences ✅ Real ownership across mobile engineering decisions ✅ Strong team culture and long-term tenure across engineering

Site Reliability Engineer (Contract) – AWS/Kubernetes/Terraform - £600/day - Hybrid (London) Key Information • AWS Site Reliability Engineer (SRE), • Up to £600 INSIDE IR35, • Hybrid (London), • 6-month contract (likely to extend), • Openings: 2 About the role We’re hiring two Senior SREs for a household-name product company. You’ll partner with an existing infra lead and multiple engineering squads to scale the platform, harden reliability, and accelerate automation across build/deploy. What you’ll do • Own and improve CI/CD pipelines and release workflows (Jenkins/GitHub Actions/GitLab/CircleCI)., • Operate and optimise Kubernetes estates (EKS; GKE exposure welcome), container build/run, Helm, and cluster ops., • Deliver Infrastructure as Code with Terraform (modules, workspaces, policy as code)., • Champion reliability: observability, incident response, performance, cost efficiency, and security guardrails., • Drive automation across environments and collaborate closely with multiple product teams. What you’ll bring • Strong experience in AWS (networking, IAM, ECR/EKS, CloudWatch, etc.)., • Deep hands-on with Kubernetes/K8s and container tooling (Docker)., • Solid Terraform skills and IaC best practices., • Proven CI/CD delivery (pipelines, build/test/deploy, environment strategy)., • Senior, self-reliant communicator who mentors others and thrives in multi-team settings. Nice to have • Service mesh/observability (Istio/Prometheus/Grafana/Datadog), policy as code, scripting (Bash/Python/Go)., • Exposure to GKE and multi-cloud patterns. If you're interested and have the required skills, please apply online! #SRE #sitereliabilityengineer #AWS #contract #hiring #devops

AI Engineer (Contract) – £500/day Outside IR35 📍 Canary Wharf, London (3 days onsite) 🇬🇧 UK-based applicants only We’re looking for experienced AI Engineers who think holistically, automate relentlessly, and know how to turn modern AI capabilities into production-grade, high-impact applications. Our AI organisation is building real-world AI products that deliver business value at speed. This role is ideal for seasoned engineers who combine strong software engineering fundamentals with a pragmatic, hands-on approach to AI tooling and infrastructure. What you’ll be doing • Designing, building, and maintaining production-grade AI applications using modern engineering practices (CI/CD, testing, observability, cloud-native design)., • Developing reusable AI platforms and tools (e.g. conversational bots, AI-powered search, unstructured data processing, GenAI solutions)., • Working in cross-functional, embedded teams with business stakeholders to rapidly deliver AI solutions to high-priority problems., • Evaluating and integrating AI tools and frameworks (LLMs, vector databases, RAG, AI agents) into robust, scalable systems., • Championing automation across the full AI lifecycle—from data ingestion and preprocessing to deployment and monitoring., • Collaborating closely with data scientists, product managers, and engineers to ensure reliable end-to-end delivery., • Contributing to internal tooling, documentation, and best practices to scale AI engineering capability. What we’re looking for • Several years of professional software engineering experience, with a track record of shipping complex systems to production., • Strong Python skills and experience building APIs, microservices, and backend systems., • Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices., • Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents)., • Experience with tools such as LangChain, LlamaIndex, Haystack, Hugging Face, Weaviate, CrewAI, AutoGen, or similar., • Hands-on work with Retrieval Augmented Generation, AI agents, and agent orchestration frameworks., • Experience working with unstructured data (documents, conversations, images)., • Background in platform engineering, internal developer tools, or forward-deployed/embedded team models., • Rate: £500 per day, • Location: Canary Wharf, London (3 days onsite per week), • Eligibility: Must be UK-based

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling and more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications, • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness, • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics, • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions, • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations What we offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to shape a breakthrough healthcare AI solution, • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum qualifications • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome), • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline, • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks), • Experience with agent orchestration frameworks (e.g., LangGraph), • Strong software engineering fundamentals such as writing clean code, version control, testing, • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred qualifications • Experience building voice AI or conversational AI systems, • Experience with patient-facing systems, • Familiarity with cloud infrastructure (GCP, AWS, or Azure), • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides: • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies, • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth, • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology), • Expert Network: Established connections across pharma, payers, and providers, • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.

Founding Engineer (AI) Location: Remote first (global, UK timezone) Compensation: Up to £120,000 + significant equity Type: Full-time What is DeepFlow? DeepFlow is the hyperscaling platform. We launch and scale AI-native businesses. An operator with 10 years of domain expertise pairs with DeepFlow’s platform and engineering support to build a business that would previously have needed a team of 50. You’re building the agents that make it work. Where we are now • Platform live with paying customers across law, finance, recruitment, and media, • Launching our founding cohort through DeepFlow Foundry: deploying agents into real revenue-generating businesses, • Preparing for a significant raise to scale from 2–3 companies to 10+ by September, with a roadmap to 100 in 2027, • Research team published at AAAI 2026 (invited oral) and DAI 2025, with work adopted by top global universities and companies The Role You own the agent layer. Every AI workflow that runs on DeepFlow - the scaffolding, the prompts, the tool integrations, the evaluation pipeline - is your responsibility. Your decisions about agent architecture, provider selection, and quality assurance directly determine whether our companies’ AI delivers in production. This is a software engineering role with an agent specialisation. You’re a full-stack engineer first - you write backend services, build APIs, and ship features end-to-end. Your focus is the model layer, but you’re not siloed to it. You work directly with the CTO/CPO and CSO to shape product direction. Significant equity reflects the scope and impact of the position. What You’ll Build • Agent Scaffolding: Designing and building the frameworks that connect LLMs into reliable, production-grade workflows - prompt engineering, tool use, and multi-step chains that hold up at scale., • Provider Integration: Working with closed-source providers (OpenAI, Anthropic, Google, etc.) via OpenRouter. Managing model selection, fallbacks, cost optimisation, and latency across providers., • Agent Evaluation: Building the eval infrastructure that measures whether agents actually work - regression testing, quality metrics, and structured failure analysis., • Integration Engineering: Connecting agents to the external world: Slack, GSuite, CRMs, accounting tools, and domain-specific APIs. The integration layer that makes agents useful in real businesses., • Full-Stack Delivery: You write backend services, build API endpoints, and contribute to the frontend when needed. Agents don’t exist in a vacuum - this is still a software engineering role., • Product Direction: You work closely with the founding team to translate cohort feedback and client needs into agent architecture decisions. What to build matters as much as how you build it. What We’re Looking For • Strong software engineer first. You write clean, production-quality code and you ship fast. Real deployed systems, not notebooks., • Experience building with closed-source model providers in production - shipping agent workflows to real users, not just prototyping., • Practical understanding of prompt engineering, tool use, and agent evaluation. You know what makes an agent reliable versus what makes a good demo., • Full-stack capable. Backend (Python), infrastructure basics, and enough frontend (React/TypeScript) to ship features end-to-end., • Fluent with modern AI tooling - you use Cursor, Claude Code, or similar daily and it makes you faster. AI tooling is not optional here., • Comfortable with ambiguity and startup pace. Priorities shift weekly based on cohort feedback., • Right to work in the UK permanently. We care less about • Your degree (or lack of one), • How many years you’ve been working - we care about what you’ve shipped, • Whether you’ve published papers - this is an engineering role, not a research role Tech Stack • Backend & Agents: Python, pydantic-ai, proprietary agent frameworks, OpenRouter, • Frontend: TypeScript, React, Vite, • Infrastructure: AWS (EKS), Docker, Inngest (event-driven orchestration), • Tools: Cursor, Claude Code, GitHub Why Join • Ownership. Significant equity as a founding engineer. The agents you build power every business on the platform., • Real traction. Paying customers, founding cohort live, and a significant raise in preparation. What you build in the next 6–12 months directly determines whether we hit 10 companies by September., • Exceptional team. Co-founder who sold his AI company to WPP for $100M. Product leader who scaled a Meta platform to 400K+ users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead., • Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. We’re hiring immediately. The process is fast: we make offers within one week.

Storefront Engineer – Shopify UK | Hybrid | Full-time | £45–50k DOE The Role The Storefront Engineer will take ownership of the company’s Shopify storefront and work closely with the Growth team on feature development, conversion rate optimisation (CRO) experiments and improvements to the underlying codebase. This role suits someone who enjoys identifying opportunities to improve performance, testing new ideas and contributing to growth initiatives rather than simply executing tasks. There will be significant scope to influence storefront performance, architecture and experimentation processes. Working Approach The company treats its storefront as a product and runs continuous experiments to improve performance and conversion. Engineering and Growth collaborate closely to launch ideas quickly, measure their impact and iterate. Key Responsibilities • Own and develop the front end of the Shopify storefront, building and deploying new features., • Collaborate with the Growth team to design, implement and analyse CRO experiments including A/B tests, landing page variations and funnel improvements., • Implement and maintain analytics tracking to measure marketing and experiment performance across the funnel., • Translate design and growth concepts into high-quality front-end experiences., • Continuously optimise performance and page speed with a focus on Core Web Vitals., • Explore AI-assisted development tools and automation platforms to improve development workflows and support marketing automation., • Contribute ideas for experiments, improvements and new features that could drive conversion and growth., • Maintain clean, scalable front-end code and contribute to improving the overall codebase. Potential Projects (First 6–12 Months) • Deliver custom website features designed to improve conversion rates, • Develop landing page frameworks to enable faster experimentation, • Improve storefront performance, SEO and page speed, • Expand analytics tracking across the customer journey, • Reduce reliance on third-party apps by building lightweight internal solutions Candidate Requirements • 2–4 years of experience building production front-end web applications, ideally within ecommerce or direct-to-consumer environments, • Shopify experience is preferred, although strong front-end developers willing to learn the Shopify ecosystem and Liquid are encouraged to apply, • Strong foundations in HTML, CSS and JavaScript, with experience working in Git-based workflows, • Experience implementing or contributing to CRO experiments and testing backlogs, • Interest in AI development tools and automation within development workflows, • Strong attention to detail and good instincts for UX and conversion optimisation, • Comfortable working in a collaborative, fast-moving environment where engineering and growth teams work closely together Desirable Experience • Experience with HubSpot and other DTC martech tools., • Exposure to Tracklution and event-based analytics setups., • Experience with marketing automation or no-code / low-code tooling, • Personal interest in design-led consumer brands, culture or lifestyle products Working Arrangements Hybrid working is supported, with team members typically expected to spend 2-3 days per week in the office to collaborate closely with colleagues and gain insight into customer behaviour and feedback. Package • £45,000–£50,000 depending on experience, • Company pension, • 25 days holiday plus bank holidays, • Staff product discount, • Equity package, • Opportunity to contribute to the growth of a premium consumer brand Diversity & Inclusion The client is committed to building a diverse and inclusive workforce and welcomes applications from individuals of all backgrounds. All qualified applicants will receive consideration regardless of race, religion, gender identity, sexual orientation, disability, age or background.

An innovative design tooling organisation in London are on the lookout for an AI Agent Engineer for their expanding team to work on developing core agent systems that power their platform. Role Responsibilities • Design and build agent systems in order to tackle complex tasks across multimodal environments, • Working on the data flywheel that will improve the agents performance over a long period of time, • Build the infrastructure required to train, evaluate, and run large-scale agent systems, • Working in a collaborative team in order to overcome challenges Role Requirements • 5+ years of experience in software engineering or a relevant field, • Experience with agent architecture in a professional environment via LLM/VLM reasoning and planning systems, • Educational experience highly preferred (PHD, Masters etc) in a relevant area, • Python or other deep learning frameworks, • Bonus if you have worked on agents interacting with real product environments, • London area based Salary - 140-160k base salary + wider package Hybird position This role CAN offer sponsorship if needed If you have the required experience and skillset please apply for immediate consideration!

Mechanical Design Engineer (CAD Tooling) – Greenwich – circa £40 to £50.00 per hour DOE (Umbrella) – Long Term Contract Job Description: Our client is seeking an experienced Mechanical Design Engineer to play a key role in the industrialisation and introduction of cutting-edge submerged products into production. This long-term contract offers the opportunity to lead on defining, designing and validating complex tooling and equipment solutions, ensuring efficient assembly processes that deliver exceptional quality and reliability. Key Responsibilities: • Lead collaboration with Supply Chain and R&D teams to support the industrialisation of new products., • Define, design and optimise tooling and equipment, including jigs, lifting fixtures and workstations, for efficient assembly and testing., • Recommend and implement alternative tooling solutions to improve efficiency, safety and reliability., • Use Creo CAD to develop and model advanced tooling concepts., • Present tooling solutions and influence key stakeholders., • Identify and source external equipment to strengthen production capabilities., • Manage relationships with tooling manufacturers to ensure delivery, compliance and quality standards are met., • Inspect and validate new tooling against specification, calibration and inspection requirements., • Oversee tooling validation and qualification model builds. Requirements: • Degree (or equivalent) in Mechanical/Manufacturing Engineering., • Proven track record in designing tools, fixtures and equipment for complex assembly/manufacturing environments., • Proficiency in Creo CAD preferred., • Strong ability to apply reliability engineering judgement., • Experience with FEA (Ansys) for stress/simulation analysis., • Significant experience in technical/manufacturing environments, ideally within high-reliability sectors., • Excellent interpersonal, communication and leadership skills. How to apply: To apply for this excellent opportunity, please send your CV via Linkedin

Senior Data Engineer London | Hybrid | AI-Native Consulting Environment £80,000-£90,000 + package Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design and operate high-fidelity, ontology-aligned data foundations that power knowledge graphs, reasoning systems, retrieval layers and AI products. This is a strategic engineering role for someone who sees data not simply as pipelines and tables, but as structured, semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build production-grade data pipelines explicitly aligned to ontologies and semantic models. Your work will ensure that entity definitions, relationships, taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready and AI-consumable. Working within a senior, cross-functional delivery model (consulting, ontology and engineering), you will play a foundational role in building robust semantic layers and enabling high-value AI systems for clients. Key Responsibilities Data Pipeline Engineering (Semantic & Ontology-Aligned) • Design, build and maintain ETL/ELT pipelines aligned to ontology and knowledge graph structures, • Implement transformations that respect entity models, relationships, taxonomies and domain constraints, • Apply semantic enrichment patterns including mapping, harmonisation, linking and feature extraction, • Deliver high-quality, structured data to downstream AI systems, agents, retrieval layers and decision engines Ontology & Knowledge Graph Collaboration • Translate conceptual ontologies into implementable schemas and data flows, • Partner with ontology architects on entity modelling, semantic definitions, metadata and lineage, • Deploy pipelines into ontology-aware platforms (e.g. graph databases, semantic layers, Foundry-style systems), • Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage • Implement robust data quality frameworks (validation, profiling, anomaly detection), • Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection), • Ensure alignment with governance, security and industry standards AI Enablement & Data Serving • Build high-quality datasets for retrieval pipelines (RAG), embeddings and conversational agents, • Create data foundations supporting decision engines, reinforcement learning and value measurement, • Partner with AI engineers to operationalise pipelines for LLM workflows and agentic systems Standards, Documentation & Reusability • Produce clear documentation for data models, schemas, ontologies and lineage, • Codify semantic ETL patterns and reusable modelling templates, • Contribute to internal accelerators, engineering standards and playbooks Experience & Technical Requirements We are looking for strong data engineering fundamentals combined with demonstrable semantic and ontology experience: • 5–8 years’ experience in data engineering, data platform development or data-intensive systems, • Strong SQL and Python for scalable data transformations and services, • Experience with at least one major cloud platform (AWS, Azure or GCP), • Hands-on experience with semantic or ontology-driven data models, including:, • Graph databases (e.g. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr), • RDF/OWL modelling, SHACL validation or ontology tooling, • Semantic ETL and ontology mapping pipelines, • Knowledge graph construction, enrichment and query patterns, • Experience operationalising pipelines for AI systems, LLM workflows or retrieval ecosystems, • Familiarity with modern data tooling and platform engineering practices, • Comfortable working in iterative consulting delivery environments with evolving requirements Behavioural Attributes • High agency – independently drives complex workstreams end-to-end, • Structured thinker – brings clarity and rigour to ambiguous, messy data domains, • Collaborative – works effectively with ontology architects, AI engineers and consultants, • Quality-driven – prioritises correctness, observability, maintainability and semantic integrity, • Clear communicator – able to explain semantic concepts and data reasoning to non-technical stakeholders, • Low ego, high ownership – focused on outcomes and value creation What Success Looks Like • You deliver clean, trustworthy, semantically aligned data ready for ontologies and AI layers, • Ontology architects rely on your pipelines for entity consistency and semantic accuracy, • AI engineers build faster because your data structures and retrieval layers are reliable and predictable, • Your semantic ETL patterns and modelling templates are reused across engagements, • Clients trust your clarity, rigour and dependability in data work underpinning high-value AI systems, • Your work becomes foundational to the firm’s semantic and agentic engineering capability Why Join • Senior-heavy, engineering-led culture with deep focus on ontologies, knowledge graphs and AI systems, • Early-stage growth environment backed by significant investment and strong market traction, • High autonomy, low bureaucracy and meaningful system-building responsibility, • Opportunity to shape internal standards, accelerators and AI-native products, • Clear commitment to responsible AI and widening access to advanced technologies, • Flexible working model with a modern Central London presence, • Comprehensive health, wellbeing and pension benefits This is an opportunity to help define how semantic data engineering enables next-generation AI systems, within a firm where clarity, technical depth and real-world outcomes matter. If you are an experienced Data Engineer ready to work at the intersection of ontologies, knowledge graphs and AI, we would welcome a confidential conversation.

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Senior Trading Data Engineer Location: London (Hybrid) Salary: Up to £140,000 base, plus bonus and benefits A leading global trading firm is expanding its front‑office data engineering function and is seeking an experienced Senior Trading Data Engineer to build and own real‑time data platforms for traders and quantitative teams. This is an opportunity to work at the heart of energy and financial markets, solving complex data problems that directly influence trading decisions and P&L. The role As a Senior Trading Data Engineer, you’ll sit close to the trading desks, designing and running the data pipelines, APIs and storage layers that power systematic strategies, intraday analytics and risk management. You’ll collaborate with traders, quants and data scientists to deliver high‑quality, low‑latency data into cloud‑native environments, with a strong focus on automation, reliability and self‑service. What you’ll be doing • Designing, building and maintaining Python‑based data pipelines for real‑time and batch ingestion from market data, internal systems and external APIs., • Developing and optimising data models and SQL queries on analytical/time‑series platforms such as Redshift, ClickHouse or similar cloud warehouses., • Implementing and operating containerised services (Docker/Kubernetes) and CI/CD workflows to reliably deploy data infrastructure to AWS., • Exposing high‑value data sets to traders, quants and data scientists via internal APIs, Python libraries and self‑service tools., • Monitoring data quality, latency and system health, and troubleshooting issues that impact front‑office users during trading hours., • Working closely with front‑office stakeholders to understand commercial priorities and translate them into robust technical solutions. What we’re looking for • Solid experience as a Senior Trading Data Engineer or similar role in a trading, hedge fund, investment bank or energy markets environment., • Strong Python skills for data engineering (pandas/Polars or equivalent) and production‑quality code., • Deep knowledge of SQL and experience with analytical or time‑series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery)., • Hands‑on experience with AWS (e.g. S3, Lambda, ECS/EKS, Redshift) and modern DevOps practices, including Docker and CI/CD., • Proven track record working with front‑office or desk‑aligned teams (traders, PMs, quants) and delivering data solutions for real‑time or intraday analytics., • Strong communication skills and commercial awareness, with the confidence to push back, prioritise and explain trade‑offs to non‑technical stakeholders. Nice to have • Background in commodities, energy trading, power/gas or renewables markets., • Experience with streaming and real‑time data (Kafka, Kinesis or similar)., • Familiarity with infrastructure‑as‑code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch). What’s on offer • Competitive base salary up to £140,000, depending on experience., • Performance‑related bonus and comprehensive benefits package., • Hybrid working in London with regular, direct engagement with trading desks., • The chance to shape a modern, cloud‑native data platform in a high‑impact environment., • A culture that values pragmatic engineering, collaboration and sustainable work‑life balance over “heroics”. If you’re a Senior Trading Data Engineer looking to work closer to the desk, with real ownership over data platforms that traders actually use, make an application today and let see if this job is right for you!

Windows Platform Engineer with advanced PowerShell & IaC experience sought by a Elite and London-headquartered Alternative Investment Manager. Our client is highly innovative and technology-driven and is largely recognised as a Centre-of-Excellence for all things Microsoft. We have been mandated to identify a high-energy and proactive Windows Automation & Platform Engineer with expertise in PowerShell, a passion for Infrastructure-as-Code, and robust experience and skills with Microsoft Infrastructure Platforms. You will join a small but highly collaborative and logical team owning Wintel platforms and Automations across complex, multi-site environments, in a Project Lead Engineer capacity. You will work directly with highly sophisticated customers managing Billions of AUM via Systematic Strategies as well as partnering with Peer Technology teams. You will own Windows-based infrastructure and IaC projects from an idea, into architecture and design through implementation, testing, and operational handover. We require someone who enjoys working with users in order to build trust and confidence, with high energy and enthusiasm who enjoys learning and keeping very busy with highly varied and deeply technical engineering work, in a flat non-bureaucratic environment with state-of-the art platforms. Requirements • Deep expertise in Windows Server Administration (e.g. Active Directory, Group Policy, DNS, DHCP, file/print services)., • Automate everything: using PowerShell or your language of choice to eliminate toil and fix issues at the source. This should include PowerShell Tooling and Multi-Function Modules., • Apply Infrastructure as Code principles to deliver repeatable, version-controlled infrastructure., • Hands-on experience with virtualization technologies (e.g. VMware, Hyper-V, VDI) and cloud (e.g. Azure, AWS)., • Strong understanding of enterprise security and compliance requirements in modern Windows environments., • The ability to continuously assess and improve existing systems, designing scalable, secure solutions that stand the test of time., • Clear communicator who documents designs, implementation plans, and lessons learned., • Collaborative mindset - able to work seamlessly with engineers, vendors, and stakeholders to get things done., • Logical and demonstrable problem solver with fantastic communication skills (concise/to the point/honest/humble...)., • Experienced working in high performance, fast-paced, and demanding environments with a level of autonomy., • Finance / Trading experience is not a requirement, but applicants must have experience of directly supporting users in an advanced and mission-critical Windows Infrastructure environment. This is an outstanding opportunity for a talented, enthusiastic and deeply technical Wintel Engineer to take ownership of one of the most advanced Windows environments in London. Candidates must be able to work onsite in Central London four days per week, with standard working hours if 8am-6pm. In return, you will be able to build a long-term career in a highly innovative and modern business, with outstanding remuneration (base salary and annual bonus) and excellent benefits.

Automation Engineer London, UK On-site (with flexibility for hybrid working) We’re partnered with an early-stage platform biotech startup emerging from stealth, backed by leading venture capital investors. The company is building AI-driven “self-driving laboratories” designed to transform how drug products are developed. Their platform combines robotics, automation, and machine learning to explore vast formulation spaces, automatically design and run experiments, and continuously learn from the results. By replacing traditional trial-and-error experimentation with high-throughput automated workflows, they aim to reduce formulation development timelines from months to days while unlocking medicines that were previously too complex to develop. Operating at the intersection of biotech, robotics, and AI, the team is building the next generation of laboratory infrastructure to accelerate pharmaceutical innovation. You will be the person who makes the self-driving lab actually run. That means integrating robots, analytical instruments, and software into reliable, end-to-end workflows, and working closely with scientists to translate their methods into automation that holds up at scale. Responsibilities • Pioneer the next generation of robotic platforms for drug formulation., • Design, implement, and scale automated liquid-handling and sample-processing workflows., • Design and automate fully closed loop robotic systems which can be remotely operated, • Integrate instruments and robotics via APIs, SDKs, and communication protocols; own instrument driver development and maintenance., • Build scheduling and orchestration layers for multi-instrument workflows, handling error recovery, retries, resource contention, parallelism, and state management., • Develop robust interfacing layers and simulation environments to accelerate development and reduce deployment risk., • Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements • Advanced degree (PhD) or MSc with equivalent industry experience., • Proven experience automating laboratory workflows with liquid handlers, collaborative robotic arms and common analytics instruments (plate readers, HPLC/UPLC, balances, imagers)., • Strong software skills in Python, with comfort using modern tooling: git, containers, and testing frameworks., • Experience with lab automation schedulers (e.g., PyLabRobot, Opentrons Protocol API, or similar) and instrument SDKs., • Background in building simulation environments to de-risk hardware integrations before deployment., • Systems-minded: you think about reliability, failure modes, and observability from day one, not as an afterthought. Desirable • Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment., • Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry., • Experience in pharmaceutical, biotech, or regulated lab environments. Benefits • Competitive base salary alongside a meaningful equity package, giving you the opportunity to share in the company’s long-term success., • The chance to have real autonomy and impact within an early-stage startup, helping shape both the scientific direction and the development of the platform., • Direct exposure to founders and the C-suite, with the opportunity to influence strategy and decision-making as the company scales., • A beautiful, collaborative lab and working space in the heart of Central London, designed to bring scientists, engineers, and data teams together., • Hybrid flexibility, balancing hands-on lab work with the ability to work remotely where appropriate. Interested? Apply and we will be in touch!

Staff Product Engineer - £150,000 + Equity Location: Shoreditch, London About the Opportunity A high-growth AI-first law firm is looking to transform the UK conveyancing market, starting with the legal process behind every property transaction. Currently, conveyancing is slow, opaque and unreliable, with one in three transactions falling through and complaints significantly higher than in other legal sectors. Many firms still rely on outdated manual processes. This business aims to disrupt a £2.5 billion market by combining deep domain expertise with cutting-edge AI technology, with ambitions to expand into a full-service, AI-powered law firm with global reach. The Role The firm is seeking a Staff Product Engineer to join as an early member of a small, high-calibre engineering team. This is a product-first role: from day one, the engineer will help shape product direction, speak directly with users, define ambiguous requirements and ship features to production quickly. The team values engineers who take ownership of outcomes and think beyond tickets. Candidate Profile • Experience in early-stage startups, influencing product strategy, • User-problem focused, not purely technical solution-oriented, • Experience scaling TypeScript codebases, • Comfortable building AI agents or LLM-powered systems beyond simple prompting, • High attention to detail and pride in engineering craft, • Academic or applied experience in machine learning, • Experience bridging research and production systems What’s on Offer • £150,000 depending on experience, • Meaningful early-stage equity, • 5% employer pension contribution, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Choice of AI tooling

We are looking for an experienced Backend Engineer to help build, scale, and optimize next‑generation financial services infrastructure. You will work on high‑availability, low‑latency systems, powering consumer and business APIs used globally. This role is ideal for someone who thrives in fast-paced fintech environments and is passionate about clean architecture, system performance, and secure engineering practices. Key Responsibilities • Design and develop backend services and APIs with a focus on performance, maintainability, and security., • Deliver new features and improvements across a distributed microservices ecosystem., • Collaborate closely with frontend, mobile, product, and infrastructure teams throughout the development lifecycle., • Integrate APIs and services while ensuring reliable, scalable data flows., • Contribute to technical discussions, architecture decisions, and engineering best practices., • Write clean, well-tested, and well-documented code. Must‑Have Technical Skills • Expert-level Node.js development experience (TypeScript/Javascript)., • Professional Golang development experience., • Strong GraphQL experience, including schemas, resolvers, and high-volume queries., • Deep knowledge of PostgreSQL, including performance tuning and relational design., • Hands-on experience with Redis for caching, pub/sub, or distributed systems., • Fintech experience is a MUST — ideally in payments, banking, wallets, trading, or digital assets., • Solid understanding of modern backend architecture, microservices, and API-driven systems., • Strong foundation in version control, CI/CD pipelines, and software lifecycle best practices. Nice to Have • Experience with message queues such as Kafka, RabbitMQ, Pulsar, or NSQ., • Experience integrating with 3rd‑party services or financial data providers., • Familiarity with performance budgets, monitoring, and observability tooling., • Knowledge of crypto, digital assets, or Web3 technologies., • Contributions to open-source projects or engineering blogs. What’s Offered • Opportunity to work on high-impact fintech projects serving users globally., • Collaborative engineering culture focused on innovation and excellence., • Competitive compensation, flexibility, and professional development opportunities., • Supportive environment with strong values around integrity, ownership, and teamwork.

About Nothing Nothing exists to make tech feel exciting again. We're building a different kind of technology company, one that puts design, emotion, and human creativity at the heart of everything we do. Founded in London in 2020 and backed by GV, EQT Ventures, and C Ventures, we're now sold in 40+ markets with millions of users worldwide. About the Team The AI & Services team is the studio within the machine — tasked with exploring the bleeding edge of human-computer interaction and prototyping the future of Nothing OS before scaling it to millions of users globally. We don't just improve existing things; we invent what's missing. This is a high-velocity environment where speed, craft, and creative ambition are non-negotiable. About the Role We're looking for an Engineering Manager to lead and grow the AI & Services engineering team. You've spent meaningful time as a software engineer — you know what good looks like at the code level — but today your craft is people, teams, and delivery. You'll be the person who clears the path for exceptional engineers to do their best work, while keeping us shipping fast and pointed in the right direction. This isn't a role for someone who wants to manage from a distance. You'll be close to the work, deeply engaged with the team, and a key voice in how we build our AI products and capabilities. What You'll Do • Lead, coach, and grow a team of full-stack and AI engineers, creating an environment where talented people can do the best work of their careers., • Own the team's delivery — setting a high bar for execution, removing blockers, and keeping a rapid shipping cadence without sacrificing quality., • Partner closely with Product and Design to translate ambitious ideas into clear, executable roadmaps, balancing exploratory prototyping with production-grade engineering., • Drive technical direction alongside your senior engineers — not by writing the code, but by shaping the decisions around architecture, tooling, and build-vs-buy., • Build and maintain engineering excellence: code quality standards, review practices, incident response, and the systems that let us scale what we prototype., • Represent the team across the organisation — communicating progress, surfacing trade-offs, and advocating for what the team needs to succeed. What We're Looking For • A strong engineering foundation. You've shipped production software — ideally full-stack, with experience in the kinds of technologies our team uses (React, Node.js/Python, cloud infrastructure). You can hold a technical conversation at depth and earn the respect of the engineers you lead., • Proven people leadership. You have experience managing engineers directly, supporting their growth, handling performance, and building team culture. You know that your output is your team's output., • Delivery ownership. You have a bias toward shipping. You know how to balance speed and rigour, and you hold the team to a high standard on both without becoming a bottleneck., • AI & product fluency. You understand the landscape — LLMs, agents, real-time systems — well enough to make smart prioritisation calls and guide technical direction, even if you're not the one implementing it day-to-day., • Design sensibility. You appreciate that at Nothing, how something feels is as important as how it works. You champion craft throughout the engineering process., • Comfort with ambiguity. Our best ideas often start as questions without answers. You help the team stay focused and productive even when the path isn't fully defined., • Clear, direct communicator. You can synthesise complexity for different audiences — from engineers in a retro to leadership in a roadmap review. How We Work • Location: London (Kings Cross & Farringdon offices), • Working Pattern: Full-time, in-office (5 days a week). We believe the best work happens when we're in the same room, and we design flexibility around personal needs where possible., • Commute: We ask that you live within a 60-minute commute of your office location.

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Engineer (AI-Focused). This is a strategic hire for a business investing heavily in AI-enabled products and advanced analytics. If you are passionate about architecting modern data platforms that power real AI at scale — this opportunity is for you. This is more than a data engineering role! You will define and scale the organisation’s data platform to power advanced analytics, machine learning, and AI-driven products. Combining deep technical expertise with architectural leadership, you’ll shape long-term data strategy while remaining hands-on in building robust, production-grade systems. You will be accountable for platform reliability, scalability, governance, and AI enablement across the business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy • Define and evolve the data architecture roadmap, • Design scalable ELT/ETL frameworks using DBT and cloud data warehouses, • Establish orchestration standards (Dagster or equivalent), • Drive decisions across batch, streaming, and real-time pipelines, • Architect data foundations supporting the ML lifecycle, • Design feature stores, embedding pipelines, and AI-ready datasets, • Enable MLOps workflows (data versioning, monitoring, retraining triggers), • Support production inference (batch and real-time), • Set best practices for testing, documentation, lineage, and observability, • Lead code reviews and mentor data & analytics engineers, • Drive CI/CD and infrastructure-as-code adoption, • Own platform reliability, performance optimisation, and cost efficiency, • Partner with Data Science, Product, and Engineering leadership, • Translate business strategy into scalable data solutions, • Influence KPI and metric governance across teams, • Act as technical escalation point for complex data challenges 🛠 Technical Environment Core Expertise • Advanced SQL & Python, • Deep DBT experience (modelling, testing, macros, documentation), • Workflow orchestration (Dagster preferred), • Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Data modelling for analytics and AI use cases, • Feature engineering architecture, • ML pipeline and deployment workflows, • Experience supporting production ML systems, • Familiarity with embeddings, vector databases, LLM orchestration (desirable), • CI/CD for data workflows, • Git-based engineering standards, • Docker / containerisation, • Infrastructure-as-code (e.g., Terraform), • Monitoring and alerting systems 👤 What We’re Looking For • 6–10+ years in data engineering or related disciplines, • Proven experience architecting and scaling modern data platforms, • Experience enabling ML/AI production workflows, • Demonstrated technical leadership and mentoring, • Ability to influence senior stakeholders You’ll Thrive If You Have: • Architectural thinking with long-term vision, • Strong decision-making under ambiguity, • The ability to balance innovation with reliability, • Clear communication across technical and non-technical audiences, • A strong ownership mindset and accountability for outcomes 📈 What Success Looks Like • A scalable, reliable data platform powering AI and analytics growth, • Reduced ML time-to-production, • High levels of data quality, observability, and governance maturity, • Improved cost-performance efficiency across the data stack, • A strong, growing data engineering capability within the team This is a high-impact leadership role within a forward-thinking technology environment where AI and data are core to the business strategy. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

We’re hiring a Founding Engineer to help us reimagine the future of hospitality. This is a high-impact, architect-level role where you will be the first engineering hire and design and build the core technical foundation of a new platform from the ground up. Expect a fast-moving environment, high ownership, and a lot of autonomy across architecture, infrastructure, integrations, and backend systems. Please send your CV to: ABOUT THE ROLE Your Impact • Architect and implement core systems: cloud infrastructure, backend services, APIs, and data pipelines, • Build secure, scalable, and reliable components ready for real-world operational environments, • Lead integrations with external systems and support early data onboarding, • Establish engineering standards, tooling, documentation, and technical processes from the start, • Set up observability, monitoring, and performance systems, • Jump in wherever needed, from quick scripts and data cleaning to debugging production issues What You Bring • 5+ years of engineering experience with strong architecture / complex backend systems experience, • Deep hands-on experience with AWS/Azure/GCP, distributed systems, and backend / full-stack development, • Strong foundation in system design, APIs, secure infrastructure, and data flows, • Proven ability to build products or platforms from 0 → 1, • Clear communication, strong judgment, and the ability to explain technical decisions, • Collaborative working style, high ownership, and the ability to execute independently in a fast-moving environment Skillset We Value • Proficiency in Python, Typescript, or similar modern languages, • Experience with backend frameworks (FastAPI, Django, Node.js, Rails, etc.), • Strong SQL, data modeling, and database design knowledge, • Familiarity with IaC, containers, CI/CD, and observability tools, • Bonus: experience in ETL, or hospitality / proptech / real-estate technology Why Join Us • We work together in the heart of London (4 days a week on-site), • Competitive compensation and meaningful ownership, • Private health insurance and additional benefits, • Visa sponsorship is provided to suitable candidates If this mission resonates with you, we’d love to hear from you — even if you don’t meet every requirement. Please send your CV to: OMNAM is a global real estate investment and development group known for creating large-scale, high-design hospitality and mixed-use projects. This role is separate and part of OMNAM Innovation Arm, giving you a unique blend of startup-style ownership with the stability, access, and ecosystem of an established international group.

Senior Software Engineer (Full Stack, TypeScript) £100k–£120k | London (Hybrid) I’m working with a high-growth consumer technology company building a platform used by thousands of customers across London every day. The business operates in the rapid-delivery / convenience commerce space, combining logistics, retail and technology into a vertically integrated product. After a period of aggressive international expansion, the company has consolidated around its core London market and is now entering a new growth phase with fresh funding and a long runway. Engineering plays a central role in the business. Teams operate with a startup mentality: high ownership, fast execution and minimal bureaucracy. Engineers work closely with product, marketing and leadership to ship features that directly impact customer experience and commercial performance. They’re now hiring a Senior Full Stack Engineer to help build the next generation of their consumer platform. Quick overview • Salary: £100k–£120k, • Location: London (hybrid, 3 days in office), • Stack: TypeScript, Node.js, React, • Team: Small, high ownership engineering team, • Product: High-traffic consumer platform used daily What you’ll be working on • Building and scaling consumer-facing product features, • Developing APIs and backend services that power the platform, • Improving internal tooling and shared design systems, • Supporting marketing and commercial tooling across the business, • Contributing to platform architecture and engineering standards, • Experimenting with AI-powered tooling and product features What they’re looking for • Strong TypeScript experience across backend and frontend, • Solid Node.js backend experience, • Experience building customer-facing products, • Comfortable operating in fast-moving startup or scale-up environments, • Engineers who actively use AI tooling in their development workflow The team moves quickly and keeps engineering groups intentionally small. Engineers own large parts of the system and work closely with product and leadership on what gets built. If you enjoy product ownership, moving fast, and working on systems that directly impact real customers, this is a very interesting opportunity. Drop me a message if you’d like to learn more.

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Back-end Engineer Company Description: Fast-growing scale-up This is a great opportunity to join a fast-moving engineering team as a Junior Backend Engineer. You’ll help build and maintain scalable backend systems that power real-world applications, working closely with product and front-end teams. It’s a hands-on role designed for someone early in their backend career who’s excited to learn, ship, and grow. Key responsibilities: • Build and maintain server-side logic using modern backend frameworks (e.g. Node.js, Python, Go), • Work with APIs — designing, integrating, and maintaining RESTful endpoints, • Support database design and optimisation (e.g. PostgreSQL, MongoDB), • Collaborate with front-end and product teams to deliver full-stack features, • Write clean, testable, and maintainable code, • Help improve system performance, scalability, and security, • Participate in code reviews and learn from senior engineers, • Stay curious and keep learning — especially in areas like DevOps, testing, or AI tooling What we're looking for: • 1–2 years of experience (including internships or personal projects) in backend development, • Proficiency in at least one backend language (Node.js, Python, Go, etc.), • Basic understanding of how REST APIs work, • Familiarity with databases and version control (e.g. Git), • Strong problem-solving mindset and attention to detail, • A willingness to learn fast and take feedback, • Bonus: any experience with cloud platforms (AWS, GCP), testing frameworks, or containerisation How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to ___ to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!

Are you tired of being a small cog in a massive corporate machine? Do you miss the thrill of building products that people actually love to use? We are representing a globally recognized digital product studio that sits at the sweet spot of high-end aesthetic design and hardcore engineering. They're looking for a Senior & Lead Full-stack Engineer to join the growing function. This isn't a "ticket-taking" role. This is a place for Product Engineers—people who care as much about the "Why" and the "How it feels" as they do about the "How it scales." Why You’ll Love It Here • True Multidisciplinary Craft: You’ll be embedded in elite squads alongside world-class designers, product strategists, and agile coaches. You won’t just be "fed" Jira tickets; you’ll be shaping the product's DNA from day one., • Radical Variety: One month you might be architecting a serverless backend for a global household name, the next you’re prototyping a sleek, interactive frontend for a disruptive startup., • Tech-Forward Autonomy: While we lean heavily into the React and Node.js ecosystem, we believe in using the best tool for the job. You’ll have the space to bring new tools, LLM-augmented workflows, and modern cloud patterns into the fold., • A Culture of Sharing: This is a "no-ego" environment. Whether it’s a weekly tech demo or a deep dive into new infrastructure patterns, you’re part of a collective that prioritizes growth and transparency over hierarchy. What You’ll Be Doing You’ll lead from the trenches. You’ll be the technical heartbeat of your team, guiding clients through complex technical problems, bridging the gap between a beautiful UI and a robust, scalable backend. What You Bring to the Table • React, • Node/ TypeScript/ JavaScript, • Cloud: AWS, Azure, or GCP., • APIs: API design and integration (REST & GraphQL)., • AI Tooling: Confident using AI-boosted environments to ensure quality (Claude or similar). The Cherry on Top If you’ve dabbled in Infrastructure as Code (Terraform), messed around with Docker/K8s, or are currently exploring the world of AI-assisted development (RAG, vector stores, or agentic workflows), you’ll find plenty of room to flex those muscles here. :)

Engineering Manager (Hands-On) Playter is a UK-based SME lender providing flexible finance to growing businesses. We combine product-led underwriting, real-time data ingestion, and proprietary risk models to originate and service short-term lending at scale. In late 2025, Playter was acquired by Shawbrook Bank. This significantly expanded our engineering remit. We are now building and operating product and platform layers supporting both: • Player-originated lending products, • Shawbrook unsecured SME lending This includes core servicing systems, risk infrastructure, regulatory reporting, and bank-grade integrations. We are actively migrating from a traditional CRUD-style architecture to an event-sourced system across core financial domains (accounts, payments, transactions, balances, journal postings). This is a foundational architectural shift and a central part of our 2026 roadmap. AI is deeply embedded in how we work. We use AI-assisted development tooling extensively, and our product workflows include AI-driven data extraction and understanding layers. Team & Environment • Small, high-calibre engineering team, • TypeScript monorepo, • Node.js services, • tRPC API layer, • Postgres + Prisma, • GCP infrastructure, • Strong product-engineer ownership model, • High autonomy, high accountability Engineers work directly with Risk, Finance, Operations, Sales, and Shawbrook stakeholders. Problems don’t arrive as neatly written tickets. You’ll help define them, pressure test assumptions, and shape the solution before a line of code is written. We’re not a feature factory. You own things end to end - discovery, design, sequencing, implementation, integration, shipping, and watching it in production. If something breaks, you care. If something feels wrong in the domain model, you fix it. The expectation is high autonomy with high accountability. Engineers are trusted to make architectural decisions and are equally responsible for the operational consequences of those decisions. Role Overview We are seeking an early-career Engineering Manager. This may be a Tech Lead moving into management, or someone with 1-2 years of existing management experience. This is not a pure management role. You will remain hands-on, contributing technically (often via AI-assisted development), while taking responsibility for team performance, planning, and delivery. The team is small. This role requires strong organisational discipline without introducing unnecessary bureaucracy. Responsibilities • Line management of engineers (1:1s, feedback, development plans), • Workload planning and prioritisation, • Delivery tracking across multiple parallel initiatives, • Cross-functional coordination (Risk, Finance, Bank stakeholders), • Maintaining high engineering standards, • Contributing technically to key projects Required Experience • Strong full-stack engineering background (Node/TypeScript preferred), • Experience leading projects end-to-end, • Experience mentoring or leading engineers, • Exposure to stakeholder management, • Structured thinking around planning and sequencing work Ideal Experience • Transition from Tech Lead to EM, • Experience in fintech or regulated environments, • Comfort working in small, high-autonomy teams, • Experience managing change during acquisition or integration phases

🚀 Senior Systems Engineer (Linux, On-Prem, Python) 📍 London / Dublin (Hybrid) 🚫 Important This role is not suited to candidates with primarily cloud-based experience (AWS/GCP/Azure). We’re specifically looking for engineers who have worked directly with on-premise infrastructure, physical servers, and OS-level systems. 💡 The Opportunity We’re partnered with a global, high-performance trading technology environment operating at extreme scale. Their infrastructure underpins real-time systems across multiple global data centres, where latency, reliability, and performance are critical to the business. This is not a cloud-first environment. You’ll be working directly with physical servers, bare metal infrastructure, and highly tuned Linux systems that require deep technical understanding and precision. ⚙️ What You’ll Be Doing • Designing, building, and maintaining high-performance Linux server environments, • Troubleshooting complex issues across production infrastructure at scale, • Writing and maintaining automation and tooling (Python + Bash), • Tuning systems to improve latency, performance, and efficiency, • Managing configuration, deployments, and OS-level environments, • Working closely with internal engineering teams and vendors globally, • Contributing to capacity planning and long-term infrastructure strategy 🧠 What We’re Looking For • 5+ years experience working with Linux in production environments, • Strong experience with on-prem / physical server infrastructure (non-cloud), • Solid Python scripting experience (essential), • Deep understanding of networking fundamentals and protocols, • Experience with tools such as Ansible, Kickstart, package management, version control, • Exposure to low-latency or high-performance environments, • Experience with storage (NAS) and system-level configuration (BIOS, kernel tuning, etc.), • Strong troubleshooting mindset with the ability to operate in fast-paced, high-pressure environments 📈 Why This Role • Work on mission-critical systems where performance actually matters, • Direct exposure to large-scale, globally distributed infrastructure, • Highly technical environment with strong engineering standards

Security Operations Specialist Location – London (minimum 3 days in office per week) Salary - £100-120k + 20-30% Bonus + Great Benefits Currently working with a UK Investment Management firm who are in the process of building out their Cyber Defence capability and looking to bring in a cloud-based Security Operations Specialist, with a blend of both Analysis and Engineering experience. You will be dealing with the escalated alerts from a 3rd party MSSP, investigating and responding to the most complex incidents whilst building out IR Playbooks and Processes and developing the internal Threat Hunting capability. You will act as a mentor to the more junior Analysts within the team and play a pivotal role in shaping how the SOC capability is built. This is an incredible opportunity for an experienced Senior SOC Analyst / Engineer to join a growing yet established firm at a crucial point as they completely build out their Information and Cyber Security capability. Whilst they have the fundamentals in place, this is a completely greenfield SOC buildout, where you will work alongside the Head of SecOps to shape their SOC monitoring, detection and response function. Key Responsibilities: • Act as a lead and technical escalation point on the most complex incidents and investigations., • Proactively look for opportunities to automate, fine-tune and streamline the detection engineering and general SOC capabilities., • Utilise various internal and external Threat Intelligence feeds to execute proactive threat hunting campaigns., • Mentor and train junior team members through complex incident response investigations. Key Requirements: • Significant experience working in a SOC environment (5+ Years), responding to and containing the most high-profile, escalated incidents., • Comprehensive knowledge of the Microsoft Security stack – Defender, Sentinel, E5 Security Suite, etc, • Proven experience building detection rules, fine-tuning and streamlining SOC tooling and capabilities., • Experience working in cloud-native SOC environments – Azure and/or Azure. If you’re an experienced Security Operations Specialist, looking to shape how one of the most innovative Investment Management firms build out their cyber defence capability and leave a lasting impact on one of the most reputable organisations whilst working alongside a team of genuine Cyber Security SMEs, click the to apply or get in touch directly –

Senior SRE Engineer | Azure, Observability & Reliability Engineering | Platform Transformation in Financial Services • Location: London (Hybrid, typically 3 days onsite), • Permanent, Full-time, • Salary: £80k–£90k + bonus + benefits, • Visa sponsorship: Not available The Role You’ll join as the first dedicated SRE hire, with responsibility for establishing SRE practices across a live Azure-based platform and a new strategic platform being brought into service. The role is focused on reliability, observability, incident management, resilience, and automation. You’ll help define how services are measured and operated, introducing practical improvements around SLIs, SLOs, error budgets, monitoring, and service ownership. This is a hands-on role for someone who has done this before and can bring structure, prioritise well, and build an SRE capability in a pragmatic way. Non-Negotiables • Site Reliability Engineering in production environments, • Azure cloud environments in enterprise-scale businesses, • SLO / SLI / error budget design and implementation, • Observability tooling (Prometheus, Grafana, OpenTelemetry or similar), • Incident leadership across Sev1 / Sev2 environments, • Disaster recovery, resilience testing, RTO / RPO, • Terraform infrastructure as code, • CI/CD pipelines and engineering enablement, • Strong scripting with PowerShell, Bash or Python, • Experience improving reliability in hybrid estates (cloud + IaaS) What You’ll Work With • Azure platform engineering, • Azure Container Apps / cloud-native services, • Terraform infrastructure as code, • Prometheus monitoring, • Grafana dashboards, • OpenTelemetry tracing, • Azure DevOps pipelines, • GitHub Actions CI/CD, • Windows Server and Linux estates, • Service Bus, Event Hubs and Kafka, • Incident management, runbooks, failover and resilience testing Nice to Haves • Financial services or regulated environment experience, • FCA / PRA operational resilience exposure, • Payments or FX platform experience, • Chaos engineering, • FinOps or cloud cost awareness Why Join / Projects • Establish the SRE capability from the ground up, • Define and implement SLIs, SLOs and error budgets, • Improve observability across platforms and services, • Lead incident response and post-incident improvements, • Drive resilience, failover and automation initiatives Employee Benefits • Pension, • Private healthcare, • Training and certification support Senior SRE Engineer | Azure, Observability & Reliability Engineering | Platform Transformation in Financial Services

Principal Embedded Engineer About the Role An exciting start-up disrupting the consumer hardware industry is building a new category of AI-native devices. Firmware sits at the core of their products, and they are looking for a Principal Embedded Engineer to help build the embedded platform that will power every device they create. In this role, you will work at the very beginning of the product development lifecycle - from early breadboard prototypes through to globally shipped consumer products. You'll help enable rapid hardware experimentation while architecting production-grade firmware designed to scale. They value engineers who enjoy building things, experimenting with side projects, and who have a strong instinct for great product experiences. Responsibilities • Own the Firmware Platform - Architect and implement the core firmware layer underpinning every device, balancing flexibility for rapid prototyping with long-term production reliability., • Lead Prototype Bring-Up - Stabilise early hardware prototypes and develop firmware that enables fast iteration across sensing, interaction and connectivity., • Ship Connected Consumer Devices - Develop secure provisioning, Wi-Fi/BLE connectivity, encrypted cloud communication and device management capabilities for globally deployed products., • Integrate Multi-Modal Sensing - Build robust pipelines for microphones (I2S audio), gesture or proximity sensors and camera modules, managing acquisition, buffering, latency and power constraints., • Design for Scale & Longevity - Implement OTA update systems, rollback strategies, version control and diagnostics to support large fleets of devices in the field., • Bridge Hardware & Software - Collaborate closely with hardware engineers, designers and backend teams to ensure firmware supports the intended product experience., • Set the Embedded Standard - Define firmware architecture, tooling, CI workflows, testing practices and documentation that future embedded engineers can build upon. What They’re Looking For • Production Firmware Experience (ESP32 / RTOS) - Strong experience developing production firmware in C/C++ on ESP32-class microcontrollers using ESP-IDF or similar environments., • Connected Consumer Hardware - Experience shipping connected hardware products into real consumer environments, with knowledge of provisioning, security, OTA updates and post-launch support., • End-to-End Lifecycle Ownership - Comfortable working across the full product lifecycle - from early prototyping through certification, manufacturing and long-term maintenance., • Sensor & Audio Integration - Experience integrating microphones, cameras and other sensors, including driver development and real-world performance tuning., • Hardware Debugging Skills - Confident reading schematics, debugging hardware with oscilloscopes or logic analysers and diagnosing cross-layer issues., • Systems Thinking - Ability to design firmware with a holistic view - managing memory, latency, concurrency, power consumption and failure scenarios., • AI-Augmented Development - Experience using AI-assisted development tools as part of the engineering workflow and an interest in building developer-friendly platforms., • Collaborative Approach - Comfortable working cross-functionally with engineers, designers and product teams to translate product ideas into working hardware., • Curious Builder - Enjoys tinkering, building side projects and exploring new technologies. Benefits • £60,000 - £80,000 depending on experience, • 30 days annual leave including public holidays, • Pension scheme, • Cycle to Work scheme and season ticket loans, • Hybrid working (in-office culture with flexibility & wfh Fridays), • Supportive and collaborative team environment

💼 𝐑𝐨𝐥𝐞 - Founding Infrastructure Engineer 📌 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 - London, 2 days per week 💸 𝐒𝐚𝐥𝐚𝐫𝐲 - up to £160K plus equity 🏢 𝐃𝐨𝐦𝐚𝐢𝐧 - Developer Tooling 🛠️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 - Terraform | Helm | GCP | ArgoCD | Jenkins | Vertex AI We're building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We're a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For • MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms., • ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure., • Infrastructure as Code: Knowledge of IaC tools such as Terraform and Helm., • Cloud Expertise: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others. We're also hiring across other roles too - 𝐅𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring a Staff Backend Engineer to join our engineering team in a high-impact technical leadership role. You'll work on our most challenging technical problems, own parts of our platform's architecture, and help shape the technical direction of our backend stack. Our tech stack centres on Go microservices, with Temporal workflows and MongoDB running on Kubernetes in GCP. You'll work with modern patterns including event-driven architectures, gRPC and REST APIs, and comprehensive observability with Grafana Cloud. We're an AI-native engineering team. We use Claude Code daily and we're investing heavily in AI-assisted development as a core part of how we build software — not as an experiment, but as a first-class engineering practice. We want engineers who are excited about this and who have ideas about how to push it further: how to decompose work for AI agents, how to maintain quality at higher velocity, and how to help an entire team get dramatically more productive with these tools. You'll take technical ownership of major domains within our platform — whether that's our Investigations pipeline (web scraping, data provider integrations, LLM-powered analysis) or our Core App systems (user journeys, features, and configuration). You'll be a technical authority, establishing patterns that others follow and driving initiatives that span multiple teams. What You'll Do • Own the technical direction and architecture for parts of our platform, • Design and build complex backend services and systems that scale, • Drive technical decisions that affect multiple teams, • Establish patterns, standards, and best practices that others will follow, • Shape and evolve our AI-assisted development practices, setting the standards for how the team works effectively with AI tooling, • Use AI tooling to multiply your own output and help the wider team do the same, rethinking how engineering work is planned, decomposed, and delegated, • Lead complex technical initiatives from design through implementation, • Identify and address systemic technical challenges across our backend, • Set the standard for high-quality code, whether written by hand or with AI — knowing when to trust, when to intervene, and what good looks like either way, • Mentor engineers across the organization, raising the technical bar, • Balance technical excellence with pragmatic delivery, • Influence technology choices and architectural direction, • Collaborate with engineering leadership on technical strategy, • Build new systems and features while improving our existing architecture What We're Looking For Essential • 10+ years of professional software engineering experience, • Strong backend engineering fundamentals — we use Go, but we're hiring an engineer, not a language specialist. If you're excellent and haven't written Go before, that's fine., • Proven track record of designing and owning large-scale systems, • Strong experience with distributed systems, event-driven architectures, or similar complex systems, • Deep understanding of databases, particularly MongoDB or similar NoSQL systems, • Extensive experience with microservices architecture and inter-service communication, • Expert-level understanding of containerization (Docker) and orchestration (Kubernetes), • Experience working with AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your development workflow, with a perspective on how to get the most value from them, • Experience establishing technical standards and patterns across teams, • Strong architectural thinking with ability to balance trade-offs, • Track record of mentoring and developing other engineers, • Ability to drive technical initiatives with minimal guidance, • Experience influencing technical direction at an organizational level, • Excellent communication skills with ability to articulate complex technical concepts Highly Desirable • Experience with Temporal or similar workflow orchestration systems at scale, • Deep knowledge of event streaming platforms like Kafka, • Experience with LLMs and AI integration (particularly for Investigations team), • Experience driving AI tooling adoption and practices across an engineering team — establishing shared conventions, measuring impact, and helping engineers level up, • Background in SaaS platforms or B2B products at scale, • Expert-level knowledge of observability tools (Grafana, Prometheus, etc.), • Deep understanding of authorization patterns, security, and multi-tenancy, • Experience with protobuf and gRPC Our Tech Stack • Languages: Go, • Databases: MongoDB, • Messaging & Orchestration: Temporal, Kafka, • APIs: REST, gRPC, protobuf, • Infrastructure: Kubernetes, GCP, • Observability: Grafana stack, • AI/ML: LLMs (OpenAI, Gemini), RAG systems, • Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have • Owned and driven a significant technical initiative to completion, • Established new patterns or improved existing ones across teams, • Mentored multiple engineers, visibly raising technical standards, • Contributed to architectural decisions, • Been recognized as a technical authority in your domain, • Made measurable improvements to system reliability, performance, or scalability, • Influenced the technical direction of our backend platform, • Helped evolve our AI-assisted engineering practices, contributing to how the team gets more value from our tooling Here’s our promise to you • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

Job Title: Frontend Engineer – React / TypeScript / Next.js Location: London (Hybrid – 2‑3 days in office) Salary: £70,000 – £75,000 + Equity About the Company You’ll join a fast‑scaling SaaS business that’s redefining how enterprise sales teams operate. Their platform uses advanced AI and deal‑intelligence to unlock hidden insights, streamline workflows and elevate team performance. Backed by top investors, the team is lean, ambitious and focused on real‑world impact, yet technically deep and product‑led. About the Role You will help shape the front end of a high‑impact product used by enterprise customers, using React, TypeScript, and Next.js. You’ll work across the full front‑end life cycle — from architecture and design collaboration, through to deployment and optimisation — delivering robust, performant, and accessible user interfaces. You’ll join a highly collaborative team where your voice will matter, and your work will be visible at scale. What You’ll Do • Build and maintain modern web applications using React, TypeScript, and Next.js., • Translate UI/UX designs into responsive, accessible and high‑performance user interfaces., • Collaborate strategically with backend engineers, product owners and designers to deliver end‑to‑end solutions., • Write clean, tested, maintainable code and set best‑practice standards for the front‑end., • Optimize web performance, accessibility (WCAG), responsiveness, and the user experience., • Participate in agile rituals and help take ownership of features from conception to deployment and monitoring. What We’re Looking For • Strong production experience with React, TypeScript and Next.js., • Excellent skills in HTML5, CSS3, and modern JavaScript (ES6+)., • Proven experience with state‑management libraries (e.g., Redux, Zustand)., • Solid experience integrating front‑end apps with RESTful APIs, (GraphQL is a bonus)., • Experience with testing frameworks (e.g., Jest, React Testing Library)., • Comfortable with CI/CD pipelines, version control (Git), modern build tools and an eye for performance optimisation., • Strong understanding of scalable front‑end architecture, responsive design, accessibility standards and code maintainability. Nice to Have • Experience with server‑side rendering or static site generation (Next.js)., • Exposure to AI/ML integrations or advanced analytics in a front‑end context., • Familiarity with GraphQL or micro‑frontend architectures or enterprise‑grade front‑end tooling. What We Offer • Salary: £70,000 – £75,000 + equity participation., • Hybrid working model: 2‑3 days per week in a London‑based office, blended with remote work., • Opportunity to join a high‑growth technology company at a stage where your contributions will be visible and valued., • Working with cutting‑edge technologies, a smart engineering team, and a product used by major enterprise customers., • Real ownership of your domain and career growth in a product‑led engineering culture.

B2B SaaS | Fully Remote | UK Location: London Type: Full-time Role Overview Accessible rail travel depends on systems that work reliably in live environments. Our Passenger Assistance platform turns passenger assistance requests into coordinated action inside live rail operations. We’re hiring a Senior Front-End Engineer to own and scale the front-end layer of a platform used daily in live rail operations. Strategic Context Transreport exists to remove structural barriers in rail travel. Our vision is that everyone has access to travel everywhere. We operate across the UK, Japan, and the EU and have supported over 10 million assistance requests for more than 1 million users. We are a Series A company recognised with a King’s Award. As our platform grows in complexity, this role ensures that usability, stability, and engineering quality scale with it in a live rail environment where failures directly impact real journeys. Outcomes & Impact Within 6 months, you will: • Own and deliver complex features end-to-end within one active product stream., • Confidently drive cases from refinement through to release with minimal supervision., • Improve accessibility, maintainability, and test coverage across your area., • Act as a trusted delivery partner for Product and QA., • Strengthen code review standards and engineering consistency. Within 12 months, you will: • Confidently contribute to UK and Global teams based on priority., • Lead incident response efforts when front-end issues affect production., • Influence front-end architectural decisions., • Raise the overall quality bar across our Vue/Nuxt ecosystem. Responsibilities • Own & Deliver: Take full ownership of features from discovery through production release, ensuring high-quality and timely delivery., • Drive Cases & Process: Independently drive development work, manage ambiguity, and proactively remove blockers without requiring day-to-day direction., • Accessibility & Standards: Champion accessibility best practices and ensure implementation aligns with inclusive design principles., • Technical Leadership: Conduct code reviews, guide architectural decisions, and raise engineering standards across the front-end codebase., • Incident Response: Lead investigations and resolution efforts during critical production incidents, ensuring fast and structured recovery., • Collaboration: Work closely with Product, Design, QA, and backend engineers to refine requirements and ensure clarity before development begins., • Continuous Improvement: Contribute to better tooling, documentation (e.g., C4 model), CI/CD improvements, and development processes. The Tech Environment: • Framework: Nuxt 3 (Vue 3 with SSR), Nuxt Auth, Nuxt i18n, • Build & Runtime: Vite, Nitro, • State Management: Pinia, • Testing: Vitest, Vue Test Utils, • Styling: TailwindCSS, • Code Quality: ESLint, Prettier, • Tooling: Mocks Server, Date FNS, Lokalise You are not expected to know every tool on day one, but you should be comfortable mastering complex front-end ecosystems and guiding others in best practices and troubleshooting. Requirements Must Haves • 5+ years of experience in front-end development with modern JavaScript frameworks (Vue.js, React, Angular, etc.)., • Strong expertise in Vue.js and modern front-end architecture., • Proven experience owning and delivering complex features end-to-end., • Strong knowledge of HTML, CSS, and TypeScript/JavaScript., • Experience with state management (Pinia, Vuex, Redux, etc.)., • Experience working within established codebases and improving them., • Comfortable working with minimal supervision in high-autonomy environments., • Experience in Agile development environments., • Familiarity with CI/CD and modern practices such as TDD., • Ability to prioritise effectively and manage multiple initiatives., • Strong written and verbal communication skills in English., • Comfortable working within a remote team. Nice to Haves: • Experience implementing designs from Figma/AdobeXD/Sketch with high fidelity., • Experience working on accessibility-focused or public-facing products., • Exposure to Ruby on Rails environments., • Experience with Docker, Kubernetes, or cloud-native systems., • Experience working with external product owners or regulated industries., • Contributions to open-source JavaScript projects or technical blogging. Benefits • Private healthcare after your probation (including children), • Free flu jab for you and your family, • 25 days holiday, • Volunteering Leave, • Cycle and Tech Scheme Culture & Operating Principles We value: • Ownership over hierarchy, • Clarity over bureaucracy, • Impact over job titles We operate with high autonomy and high accountability. People are expected to raise risks early, communicate clearly, and take responsibility for outcomes. Interview Roadmap • Screening Call (30 mins) – Recruiter alignment, • Technical Exercise – Front-end architecture & delivery approach, • Deep Dive Interview – Engineering & Product, • Final Culture Conversation – Leadership alignment Guaranteed Interview Scheme We’re a Disability Confident employer and we welcome applications from disabled candidates. If you need any adjustments at any stage of the recruitment process, please tell us what would help - we’ll work with you to make the process as accessible as possible. We also offer a Guaranteed Interview Scheme (GIS) for candidates who consider themselves to have a disability as defined under the Equality Act 2010. If you indicate this option in your application and your application demonstrates that you meet the essential criteria for the role, you’ll be invited to interview or assessment. Choosing GIS doesn’t guarantee a job offer. If you have any questions, please get in touch.

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!