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Senior Data Scientists Hybrid working pattern Who we are • Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung., • Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. As a Senior Data Scientist in our London office, your role will encompass: • Designing and implementing advanced data science and machine learning solutions to solve complex business problems., • Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees., • Supervising and mentoring team members on code, deployment, and best practices. Necessary education and experience • Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field., • Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders., • Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference., • ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines., • Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces., • Advanced Education: A Master's degree or PhD in a relevant field is a strong plus., • Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray., • Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

Full-Time Mobile App Developer (.NET MAUI preferred) iOS & Android — Remote (South Asia) Location: Remote (India / Pakistan) Type: Full-time Tech focus: .NET MAUI (preferred) / Cross-platform Mobile ⚠️ Important upfront note This role requires strong mobile UI execution and design sensibility. To proceed, you must be able to share links to live apps on the Apple App Store (and/or Google Play) that demonstrate clean, minimal design and polished user experience. If you cannot provide shipped app links, please do not apply. About the role We’re hiring a full-time Mobile App Developer to build a design-led, consumer-facing mobile application for iOS and Android. The app is fully designed in Figma, with clear user flows, screen definitions, and supporting admin processes. Your role is to take these designs and deliver a production-ready, visually polished, and smooth-feeling mobile app, all the way through App Store and Play Store release. This is a hands-on role with real ownership over how the app looks, feels, and behaves. What you’ll be working on • A cross-platform mobile app (iOS + Android), • Translating Figma designs into pixel-accurate, production UI, • Ensuring slick interactions, smooth transitions, and responsive layouts, • User onboarding, application flows, and status tracking, • Admin-driven workflows and internal review tools, • Secure authentication and backend / API integrations, • App Store and Google Play deployment Tech expectations • .NET MAUI strongly preferred, • Proven experience implementing apps directly from Figma, • Strong mobile UI/UX implementation skills (spacing, typography, layout, interaction), • Experience with REST APIs, auth flows, and state management, • Comfortable delivering apps that feel fast, clean, and well-finished, • 👉 We’re comfortable with AI-assisted development tools (e.g. Copilot, Base44, etc.) where they improve speed and quality What we’re looking for • A clear eye for simple, minimal, effective design, • A track record of shipping real mobile apps, • Ability to turn good designs into great-feeling products, • Comfortable working from Figma, specs, and process diagrams, • Product-minded and detail-oriented, • Clean, maintainable code and sensible architecture choices, • Strong communication skills for remote collaboration Nice to have • End-to-end or lead ownership of a mobile app, • Backend experience (Azure, Firebase, Supabase, etc.), • Experience with CI/CD and store submission, • Prior experience working remotely across time zones Why join us? • Clear designs and requirements — minimal ambiguity, • High bar for quality, but realistic scope, • Ownership of the mobile build, • Remote-first team (South Asia), • Pragmatic, modern approach to tooling and AI, • Opportunity to ship a complete product end-to-end How to apply Apply via LinkedIn with: • A short summary of your mobile development experience, • Links to live apps you’ve shipped (App Store / Play Store), • GitHub (optional but welcome)

Infrastructure/Security/DevOps A high‑growth AI company is building the next generation of workflow automation for large enterprises — and are looking for a Senior Infrastructure Engineer to help scale their platform as they onboard global customers. The product transforms complex, manual processes into fully automated AI systems used across large, distributed teams. Backed by top-tier investors and growing rapidly, they're now strengthening their infrastructure foundations to support the next phase of expansion. They are looking for an experienced engineer to lead the development of their cloud systems, security posture, reliability culture, and operational excellence. Key Responsibilities • Architect, implement, and scale cloud infrastructure to support rapid growth, • Prepare systems and processes for SOC 2 / ISO 27001 audit readiness, • Build and maintain CI/CD pipelines across backend, frontend, and data services, • Develop and manage logging, metrics, tracing, and alerting systems, • Lead efficient on‑call and incident-response processes, • Monitor and optimise cloud spend Tech Stack • Cloud: Azure (AWS a plus), • IaC: Terraform, • Containers: AKS (Kubernetes), Docker, • CI/CD: GitHub Actions, • Observability: Logging, metrics, tracing frameworks, • Security: Secrets management, scanning tools, cloud best practices, • Networking: VPCs, private networking, DNS, load balancers, VPNs, firewalls, • Databases: PostgreSQL, MySQL, NoSQL, blob storage, • Automation: Python or Bash Requirements • 4–7 years of experience in Infrastructure, DevOps, SRE, or Platform Engineering, • Strong track record owning infrastructure end‑to‑end, • Experience in high‑growth or high‑load environments, • Familiarity with compliance frameworks (SOC 2, ISO 27001, GDPR), • History of driving reliability, security, and cost efficiency, • Someone who thrives in fast-moving, evolving environments and enjoys solving hard problems Essential • Able to work in UK, • Relevant degree

*This role is London based, with 2 days per week in the office. But we are open to considering amazing talent across Europe to work remotely. About Loctax: Loctax is a tax technology company. We build software for tax professionals at large multinationals — helping them with tax research, compliance, risk and governance management across all the jurisdictions they operate in. Founded in 2020, Loctax was acquired by Tax Systems in 2025 and is now part of the UK’s leading corporate tax software group, trusted by thousands of tax and finance professionals across enterprise organisations. Together with Tax Systems, we are building the very first Tax Operating System. One AI-powered platform where global tax teams can research, comply, and make decisions without switching between a dozen disconnected tools. This is an early and pivotal moment in that journey. The Role: You will own and operate the entire go-to-market technical infrastructure for Loctax: the systems that discover, enrich, score, deduplicate, and route leads to the sales team. You will report to the Co-Founder (Growth) and work closely with the sales team and the CEO. This is not a traditional revenue or marketing ops role. You are building and maintaining custom data infrastructure: a Supabase backend, background workers, API integrations, social scraping pipelines, and a continuous dedup system. The majority of the code in this system can be built with AI-assisted coding tools like Claude Code, Cursor, or similar agentic development environments. What you need is a deep understanding of how data flows between systems, what constitutes a secure and GDPR-compliant architecture, and the ability to direct AI coding tools to build reliable, production-grade infrastructure. You are taking over a system built by an external operator and extending it significantly. What You Will Own: • Backend: Deploy and maintain the EU-hosted Postgres database that serves as the GTM system of record. Build and maintain the schema, API integrations, and data pipelines., • Worker infrastructure: Write and deploy background workers (Node.js or Python) on Fly.io or Railway that handle enrichment, dedup, signal detection, social scraping, HubSpot sync, and outreach orchestration. Many workers embed AI via the Claude API for classification, scoring, and decision-making — you own the prompts, the structured output parsing, and the GDPR data-tiering that governs what data the AI sees., • CRM deduplication: Own data quality across HubSpot. Implement continuous dedup on every new record. Maintain the company and contact matching logic. Handle edge cases around multinational corporate hierarchies., • Signal architecture: Build and maintain the signal detection workers: LinkedIn engagement scraping, job change detection, marketing event parsing, connections-of automation, job posting routing., • Email infrastructure: Set up and manage sending domains, DNS, warmup, suppression, and sequences in Lemlist for the mid-market pipeline., • ICP scoring: Maintain and iterate on the scoring system. Currently in Clay; will migrate to Supabase workers., • Sales Nav scraping: Manage the automated scraping of LinkedIn Sales Navigator for lead discovery and the connections-of signal., • Analytics: Build closed-loop reporting: which signals, channels, and segments drive qualified meetings and revenue. What You Will NOT Own: • Product engineering: Loctax has a separate product engineering team of ~8 people. You do not build product features., • Closing deals: The sales team handles all prospect conversations, demos, and deal management., • Content creation: The marketing team creates content. You may help with distribution infrastructure. Required Skills: • Programming: Proficient in Node.js or Python. You will write workers, API integrations, and data transformation logic. This is not no-code., • AI/LLM integration: Experience calling LLM APIs (Claude, GPT, etc.) programmatically from application code. You will build workers that use AI for classification, scoring, and reasoning — constructing structured prompts, parsing JSON responses, handling errors, and managing the boundary between what the AI decides and what the code enforces. This is not prompt engineering in a chat window; it is integrating AI as a component in a data pipeline., • SQL: Strong Postgres SQL. You will write complex queries for dedup matching, signal detection, and reporting., • API integrations: Experience building integrations with CRM APIs (HubSpot preferred), enrichment APIs, and social platform APIs. You understand rate limits, webhooks, pagination, and error handling., • Infrastructure: Comfortable deploying and managing services on Fly.io, Railway, or similar. Docker basics. CI/CD. Monitoring and alerting., • Data quality mindset: You care about dedup, data integrity, and suppression. You understand that sending a duplicate email to a CFO at a prospective customer is a serious problem, not a minor inconvenience., • GDPR awareness: You understand the basics of GDPR data processing, legitimate interest, and data minimisation. You are working with EU prospect data and must handle it correctly. Nice to Have: • Web scraping: Experience with Playwright/Puppeteer, proxy rotation, session management. LinkedIn scraping experience is ideal., • Clay: Experience with Clay.com as an enrichment tool. The system currently uses Clay and you will interact with it as an enrichment API., • HubSpot workflows: Familiarity with HubSpot workflow automation, custom properties, and the CRM data model., • B2B sales ops: Understanding of how sales teams work: pipeline stages, qualification frameworks (MEDDPICC), SDR workflows. What we offer • Annual leave – enhanced holiday plus any local public holidays., • Birthday day off., • Competitive salary., • Top tech gear., • Learning budget., • Bi-annual team offsites.

Production Manager 💰 Up to £55,000 + 10% Guaranteed Bonus 🏭 Fast-Growing Food Manufacturing Business An ambitious, well-invested food manufacturer is looking for a driven Production Manager to lead a large, high-performing team during an exciting phase of growth and operational improvement. This is a hands-on leadership role where you’ll have real ownership, strong senior backing, and clear progression. The Role You’ll take full responsibility for daily production operations in a high-volume environment, leading up to 100 colleagues and driving performance across: • Safety & food safety (GMP), • Quality & audit readiness, • Output, waste & efficiency, • Service levels (99%+), • Team development & performance culture You’ll be visible on the shop floor, using data, LEAN principles and strong leadership to raise standards and deliver results. What We’re Looking For • Proven Production Management experience in high-volume manufacturing, • Strong LEAN / CI knowledge, • Experience leading large teams, • Data-driven decision making, • Solid understanding of food safety and quality systems, • A confident leader who sets standards and develops people Why Apply? • Up to £55,000 salary, • 10% guaranteed bonus, • Clear long-term progression, • A business that invests in its people and promotes from within, • Genuine influence over culture and performance If you’re a Production Manager who wants ownership, progression and the chance to shape a growing operation — this is a serious opportunity.

Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management Salary: £100,000 Location: Central London, 3 to 4 days onsite You will be joining a global technology consultancy to help design and deliver long-term, enterprise-grade data platforms that enable data-driven decision-making across complex, multi-line organizations. This is a high-impact role within a growing data engineering practice, focused on building modern cloud-based solutions that power analytics, reporting, and business intelligence at scale for enterprise clients. The Role You will design, build, and optimise a scalable, cloud-native data platform that acts as the foundation for business-critical insight. You will work closely with stakeholders across the business, translating requirements into robust, production-grade data solutions. This is a hands-on engineering role where you will take ownership of pipelines, models, and performance. In this role, you will: • Design, build, and maintain scalable data pipelines in Azure and Snowflake, • Develop and optimise ETL and ELT processes for batch and micro-batch workloads, • Build and enhance enterprise data warehouse models, • Write and optimise complex SQL queries for analytics and reporting, • Ensure data quality, reconciliation, and consistency across multiple sources, • Partner with BI teams to support dashboards and reporting tools, • Contribute to platform architecture decisions, • Continuously improve reliability, scalability, and performance You will be expected to work from the Central London office three to four days per week to enable close collaboration with technical and business stakeholders. Requirements & Technical Environment • 7+ years software engineering experience, including 5+ years with data-intensive systems, • 2+ years hands-on experience with cloud data platforms (Azure preferred), • Strong expertise in Azure Data Factory, Azure SQL, Azure Storage, Azure Functions, and Snowflake (1+ year), • Advanced SQL skills, including complex ETL and dimensional/data modeling, • Experience building batch and micro-batch data pipelines, • Deep understanding of enterprise data warehouse architecture and methodologies, • Experience working with large-scale enterprise datasets, • Strong analytical mindset with a focus on data quality Nice to Haves • Snowflake performance tuning and cost optimisation, • Python, • Databricks, • End-to-end data platform architecture, • Enterprise BI platforms, • CI/CD pipelines, • Infrastructure-as-Code Employee Benefits • £100,000 base salary + bonus, • Pension, life assurance, private healthcare and wellness allowance, • 25 days holiday plus bank holidays, • Funded certifications and learning platforms, • Corporate equipment provided, • Hybrid working, • Visa sponsorship and relocation support Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of food lovers, connecting exceptional independent makers with teams who want better food at work. We’re looking for a Senior Software Engineer who cares about quality, performance, and product impact - someone who enjoys solving real-world problems at scale and shaping how a platform grows, not just writing code. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, elegant solutions across ordering, payments, logistics, and internal tools. What you'll be doing • Lead development across key product areas from concept to production, • Build high-quality front-end features using a modern JS stack (Vue/Nuxt or similar), • Design and maintain scalable APIs and services in Node.js with SQL/Sequelize, • Mentor junior engineers through code reviews, pairing, and technical guidance, • Help shape our technical roadmap and introduce new tools, frameworks, and practices where they make sense, • Own technical decisions around architecture, performance, and reliability, • Collaborate with product and operations to translate business needs into robust solutions, • Improve system observability, monitoring, and incident response, • Identify technical debt and proactively drive refactors, • Support CI/CD, deployment pipelines, and environment management What we're looking for • Strong experience as a Senior Software Engineer or equivalent, • Proven ability to guide and support junior developers, • Deep knowledge of modern front-end frameworks (Vue, React, or similar), • Solid back-end experience with Node.js and relational databases (Postgres/MySQL) using ORMs such as Sequelize, • Confidence in evaluating and adopting new technologies pragmatically, • A product-led mindset: you care about outcomes, not just implementations, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Front-end Experience with some of the following, or a strong willingness to learn: • JavaScript / TypeScript – modern ES standards, async patterns, clean architecture, • Frameworks – Vue / Nuxt (or React / Next.js), component-based development, • State management – Vuex, Pinia, or equivalent patterns, • API integration – REST/JSON, error handling, loading states, • Performance – bundle optimisation, code splitting, rendering strategies, • Accessibility & UX – semantic HTML, responsive design, usability best practice, • Testing – unit and component testing (Jest, Vitest, Testing Library, Cypress/Playwright), • Version control – Git workflows, PR reviews, and collaboration Back-end Experience with some of the following, or a strong willingness to learn: • Node.js – building scalable, maintainable services, • APIs – RESTful design (GraphQL a plus), authentication, validation, rate limiting, • Databases – PostgreSQL / MySQL, schema design, indexing, query optimisation, • ORMs – Sequelize or similar (migrations, associations, transactions), • Business logic – handling payments, scheduling, pricing, permissions, and workflows, • Testing – unit, integration, and API testing, • Security – data protection, authentication, role-based access, and best practices DevOps/Infrastructure Experience with some of the following, or a strong willingness to learn: • CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines, • Cloud platforms – AWS, GCP, or Azure, • Containerisation – Docker and environment configuration, • Deployments – staging/production environments, rollback strategies, • Monitoring & logging – error tracking, performance monitoring, alerting, • Reliability – uptime, backups, and incident response Engineering Practices • Writing clean, maintainable, well-documented code, • Code reviews and constructive technical feedback, • Coaching juniors and helping them level up technically, • Evaluating new technologies and introducing them where they deliver clear value, • Designing systems with scalability, performance, and security in mind, • Pragmatic decision-making in a startup environment Bonus points if you • Have led or owned major product areas or technical initiatives, • Have introduced new tools, frameworks, or processes that improved delivery or quality, • Have experience with Nuxt, server-side rendering, or marketplace platforms, • Have any of the certificates LPIC-1, LPIC-2 or AWS associate, professional or specialist, • Have experience being Security Champion and knowing STRIDE, PASTA and Hybrid, • Have worked on B2B, payments, logistics, or operationally complex systems, • Care deeply about food, hospitality, and how shared meals bring people together Benefits of working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. What was once technologically impossible is now within our grasp. We’re looking for a Senior Full Stack Developer to join our growing development team. What you will do 🚀 • Design and implement a new high-scale system for millions of users, • Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability, • Work on ML model development with our team to build robust data pipelines and deploy ML models, • Analyse large corpora of data and build real-time recommendation systems, • Work with large amounts of data in different modalities (text, video, images, audio), • Work in a very cross-functional team, side by side with mobile developers, product managers, ML engineers, and designers Essential skills 🙏 • Deep Python and AWS knowledge, • Architecture planning and estimation skills, • Experience with CI/CD automation pipelines, • Proficiency with Terraform and Docker, • SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs., • Experience with SQL and NoSQL databases., • Understanding of best practices in building scalable mobile APIs (REST, HTTPS, etc.)., • Good principles of security management (secrets, protocols, etc.)., • Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with real-time and/or in-memory databases, • Experience with frontend frameworks, • Experience in developing educational products, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience (even non-production) with different types of programming languages What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • A crew all about people and products, • Work from our London office (4 days per week), • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget, • We also offer substantial relocation assistance to support your move, if required Interview Process 🧪 3 technical interviews, which will all cover • Problem Solving, • Architecture Design and Product Design, • Domain/Platform Knowledge After all interviews, we would like to invite you to work with us in our London office for 1-2 paid test days. If everything goes well, we will make an offer to the successful candidate.

About the Role: Grade Level (for internal use): 11 The Team: S&P Global corporates value stream technology team consists of geographically diversified software engineers responsible to develop scalable solutions by working directly with product development team. Our team culture is oriented towards equality in the realm of software engineering irrespective of hierarchy promoting innovation. One should feel empowered to iterate over ideas and experimentation without being afraid of failure. Responsibilities and Impact: You will enable S&P ratings business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data, machine learning and multi-cloud. • Active participation in all scrum ceremonies, follow AGILE best practices effectively., • Play a key role in the development team to build high-quality, high-performance, scalable code., • Document and demonstrate solutions using technical design docs, diagrams, and stubbed code., • Collaborate effectively with technical and non-technical stakeholders, • Respond to and resolve production issues.What we are looking for:, • Minimum 5+ years of work experience in Technology (application development and production support)., • Strong hands-on experience with React and TypeScript, including building scalable, maintainable front-end architectures., • Solid understanding of HTML5, CSS, and modern JavaScript, with experience building responsive and accessible user interfaces., • Experience working with REST APIs and integrating frontend applications with backend services., • Familiarity with modern frontend development practices, including component-driven development, state management, and testing., • Experience working in Agile teams, participating in code reviews, and collaborating closely with product managers, designers, and backend engineers., • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. Nice to have:, • Experience with backend development using Java and Spring-based technologies such as Spring Boot., • Experience with cloud platforms such as AWS., • Familiarity with containerized environments and CI/CD pipelines. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (the Policy) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

QA Lead | Remote-First | Up to £70k 🚀 One of the UK's most interesting engineering teams right now. B-Corp certified, 25+ year heritage, but genuinely modern tech. They ship multiple times a week and they're building a QA function from the ground up rather than inheriting someone else's mess. This isn't a hands-on testing role. It's a leadership position where you define the automation strategy, set the standards, and coach engineers across the business to own quality in their own teams. Think quality gates in GitHub Actions, a real mandate to explore AI-assisted testing, and a stack that's actually worth working on rather than being a buzzword on a slide. 🔧 The tooling you'll be working with: • Playwright (primary browser automation), • Maestro (mobile testing), • Postman (API testing and contract validation), • GitHub Actions (CI/CD pipelines and quality gates) 💻 The stack under test: • Python microservices with Kafka, • React / Next.js / TanStack Query (frontend), • AWS Lambda, S3, RDS/Aurora (infrastructure), • Terraform-managed environments So you'll need to be comfortable with the full picture, not just the UI layer. What they're actually looking for is someone who's led QA in a fast-moving product environment before, has strong Playwright experience (or equivalent), and knows how to instrument and report on quality metrics that engineering teams actually trust. A coaching mindset is essential; you're setting direction, not writing every test. 📍 Remote-first, two days a month in London 💰 Up to £70k DOE

Engineering Manager Our client, a MarTech business building an AI-driven platform that helps teams make better decisions about digital content and performance are looking for an Engineering Manager to join the team. Responsibilities: • Lead end-to-end delivery of complex product features., • Blends hands-on coding and strategic leadership (approx. 50/50 split)., • Managing engineers in a product environment, • Ensure engineering excellence: enforce code review standards, implement practical testing strategies, maintain CI/CD hygiene, and define clear completion criteria., • Collaborate closely with Product and Delivery teams to drive alignment and execution. Requirements: • Proven experience managing engineering teams in a product-focused environment (startups or scale-ups preferred)., • Leading cross-functional teams (Product, Design, Engineering, Operations)., • Full-stack technical proficiency: able to review, unblock, and guide frontend and backend development., • Strong software engineering fundamentals, including API design, data modeling, testing, and operational readiness., • Excellent stakeholder management skills. Tech Stack: • Frontend: React, TypeScript, • Backend: Java 17+, Python (FastAPI), • Databases: NoSQL, • Cloud: GCP or equivalent, • DevOps: Docker, CI/CD, • Experience with ML pipelines and media processing is a plus They are looking to pay up to £100K base + benefits. It’s a hybrid role with travel to the central London office 2x per week. Please apply with your most update to date CV and if successful a consultant will be in touch

Head of Engineering, Platform & AI About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. The Opportunity Zeus Labs is building the execution intelligence layer for enterprise logistics — AI that turns ERP systems and tables into self-optimising operations. You will own development and maintenance of the platform that compresses hours of manual coordination into an automated AI-driven consolidation, touching millions of shipments annually for large manufacturers and distributors moving goods across continents. This is a rare role: production-grade AI systems (LLMs + combinatorial optimisation models) meeting enterprise integration reality (SAP ECC/S4, legacy TMS/WMS, webhook chaos). You will join a small, high-impact engineering team with plans to grow and evolve into specialised teams as we scale. What Will You Do Engineering Leadership & Delivery • Own end-to-end engineering delivery across Zeus Command AI (core platform) and AI layers and agents, • Drive planning, scoping, sequencing, sprint execution, and quality gates so work reliably ships, • Set standards for code review, testing, definition-of-done, incident hygiene, and operational excellence, • Contribute production code hands-on (20-30% of your time): ship features, close bugs, review/merge PRs, own complex cross-service work, • Coach engineers through pairing, PR feedback, debugging support, and raising team capability Enterprise Integration & Architecture • Lead integration strategy and execution with enterprise and legacy systems: ERP (SAP ECC/S/4HANA patterns), TMS, WMS, carrier/telematics platforms, customer master systems, • Own integration architecture across: Inbound/outbound APIs (REST/JSON), event-driven messaging (queues/topics), batch feeds, file-based interfaces (S3-based exchanges), structured email fallbacks, • Demonstrate practical experience with API management and integration middleware: API gateways, iPaaS/ESB patterns, message brokers, transformations, retries/backoff, idempotency, contract versioning, • Lead master data management for enterprise rollouts: SKU volumetrics, locations, customer/site data, carrier contracts, slot calendars. Data quality validation, reconciliation, governance (source of truth rules, drift detection). Own system architecture across services, data stores, and workflows, • Produce and maintain architecture artefacts as first-class outputs: System diagrams, sequence diagrams, data flow diagrams, ADRs/RFCs AI Systems & Production Operations • Own implementation quality for our AI agent flows: Tool execution safety, confirmation prompts for critical actions, bounded autonomy, deterministic fallbacks. Context/session handling (TTL memory), prompt/tool contracts, tool registry hygiene, • Build production practices around AI: Evals, monitoring, cost controls (token budgets, caching), model routing, prompt versioning, safe rollout, • Own production health: Logging, metrics, tracing, dashboards, alerting, post-mortems, • Improve resilience: Rate limiting, circuit breakers, idempotency, retries/backoff, event replay strategies, feature flags, safe deployments, • Work deeply with DevOps on AWS infrastructure, performance, and reliability: Containerised deployments, networking/security boundaries, secrets, scaling, environment management, • Own cost/performance trade-offs: Cloud cost monitoring, AI cost optimisation, workload tuning, capacity planning Security, Compliance & Customer-Facing Work • Build security into architecture and delivery: Tenant isolation, secure webhook patterns (auth/signatures/allowlisting), auditability, PII minimisation, • Lead remediation of dependency vulnerabilities and code scanning findings with measurable burn-down, • Join customer calls to: Explain architecture and integration in plain terms, Lead technical discovery and enterprise integration planning (incl. IT/security stakeholders), Handle escalations with structured RCA and clear action plans, • Produce enterprise-ready customer artefacts: Security overview, integration guides, interface specs, deployment runbooks Tech Stack & Environment Zeus is built on a consistent TypeScript-first stack: • Node.js + TypeScript for backend services, • Angular (primary) and React for web UI, • React Native for cross-platform mobile., • Our AI/optimisation modules are a deliberate “best tool for the job” exception, implemented in Python, • We run on AWS, using ECS with Fargate (multi-AZ) for containerised services, • AWS CodePipeline for CI/CD across multiple environments Must-Have Experience • 10+ years in backend/platform engineering, including at least 3 years in technical leadership (leading projects, owning architecture, or managing engineers), • Deep hands-on experience integrating with enterprise/legacy systems: ERP (SAP ECC/S4), TMS, WMS, carrier/telematics platforms, master data domains, • Strong integration background with API management and middleware: API gateways, iPaaS/ESB patterns, message brokers, transformation layers, contract versioning, • Master data management mindset: data modelling, reference data governance, reconciliation, quality enforcement, • Excellent technical documentation skills: diagrams and specs that engineering and customers can rely on, • Production operations experience: logs, metrics, incidents, post-mortems, cloud cost ownership, AI cost optimisation Nice-to-Have • SAP-style enterprise integration (IDocs, BAPIs, Integration Suite patterns), • Production LLM/agentic systems with guardrails and reliability practices What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

Automation Test Analyst (C# / Selenium) 📍 Hybrid (UK) | 💰 £50–55k Looking for an Automation Tester who writes in C#! We’re working with a growing tech business building modern web-based products, and they’re looking for someone to take real ownership of automation testing within their QA function. What you’ll be doing • Writing and maintaining automation tests in Selenium (C#), • Building and improving automation frameworks, • Testing new features manually before automating them, • Working closely with developers on a .NET / React stack What they need • Strong Selenium + C# experience, • Background in web application testing, • Experience with automation frameworks + CI/CD, • Comfortable working in Agile teams 🚫 If your Selenium experience is mainly in Java, this likely won’t be the right fit. The setup • Hybrid working (typically 1–2 days onsite), • Mid-level role (c. 3–5+ years experience), • Small QA team – real impact, not just execution Process • 1st stage (Teams), • Online assessments, • Final on-site interview (includes practical testing) If you’re looking for a role where you can own automation rather than just follow scripts, feel free to apply! Please note: UK work visa sponsorship is not offered for this role. You must have full and existing right to work documentation with no time limit.

Role: Senior Software Engineer - Front End Location: London/Newcastle – Hybrid Office & Home Who Are We? mkodo builds world class apps, middleware and digital products in the global lottery, betting, and gaming space. We have an open, supportive, dynamic culture where talented people are trusted to contribute to the team and company by carrying out their roles in a professional, collaborative, and skilled manner. We value the expertise of our team members and offer opportunities for personal development and career progression within the company. Acquired in February 2020, by Pollard Banknote Limited (PBL), a major supplier to the global lottery industries, brought mkodo strong financial security, access to resources and clients at a global level. About the role: Reporting to a Software Engineering Manager, the Senior Software Engineer is a major contributor and technical influencer within an engineering team delivering high-quality applications and services used by thousands of customers. As mkodo evolves, we are looking for more T-shaped engineers: not a ‘jack of all trades’ but individuals with deep expertise in one or more core engineering disciplines, combined with broad experience and adaptability across the wider software stack. While each Senior Software Engineer brings deep mastery in at least one area, they are comfortable collaborating across disciplines and contributing wherever business needs require. Core areas of depth may include one or more of: • Web / Front-end engineering, • Java/AWS backend and distributed systems, • React Native, • Android (Kotlin), • iOS (Swift) Successful candidates demonstrate deep expertise in at least one of these areas while maintaining practical experience and willingness to work across others. This role suits engineers who are highly autonomous, delivery-focused, and capable of owning technical design and execution for complex features and systems, while contributing to team growth and technical direction. What you’ll do: Engineering delivery & technical ownership • Design, build, and deliver high-quality software across mobile, web, and backend systems depending on business needs., • Take complex product or technical problems and break them down into deliverable, well-structured solutions., • Own the technical design and implementation of projects or features of moderate to high complexity., • Write production-quality, well-tested, maintainable code aligned with engineering standards., • Ensure reliability, performance, security, and scalability across systems and platforms., • Drive investigation and resolution of complex technical issues across the stack., • Contribute to and lead technical projects spanning multiple components or services., • Transform and modernise legacy systems where required. Cross-discipline contribution • Act as a deep expert in your primary discipline while contributing across other platforms or systems., • Collaborate effectively across web, mobile, and backend engineering to deliver cohesive solutions., • Demonstrate adaptability and willingness to work in different parts of the stack as business priorities evolve., • Support shared ownership of system quality and delivery across teams. Technical leadership & influence • Act as a technology leader within and beyond your immediate team., • Provide clear technical direction and decision-making that supports long-term architectural health., • Identify and drive improvements to engineering practices, tooling, and processes., • Identify, prioritise, and reduce technical debt., • Contribute to architecture discussions and help align teams on technical approaches., • Support drama-free, predictable releases through strong engineering discipline. Collaboration & delivery excellence • Provide realistic, data-informed estimates and delivery plans., • Break work into clear milestones and deliver predictably., • Collaborate closely with product, design, QA, and stakeholders., • Balance technical, product, and business trade-offs when designing solutions., • Mentor and support other engineers through pairing, reviews, and knowledge sharing., • Contribute to hiring and team growth. Quality, security & compliance • Implement strong testing, monitoring, and observability practices., • Support security and regulatory compliance (e.g., ISO27001, PCI where applicable)., • Adhere to secure coding and operational best practices., • Ensure systems meet reliability, performance, and quality standards. Key Skills & Attributes: Core expectations • Significant experience as a Senior Software Engineer or equivalent., • Deep expertise in at least one of:, • Modern web/front-end engineering (TypeScript/JavaScript frameworks), • React Native, • Android (Kotlin), • iOS (Swift), • Java/AWS backend engineering and distributed systems, • Demonstrated ability to work across multiple parts of the stack., • Strong understanding of modern software engineering principles and best practices., • Proven track record delivering complex, high-quality production systems., • Strong problem-solving skills and ability to tackle ambiguous or “black box” problems., • Ability to work independently with high-level direction. Cross-platform & systems thinking • Experience integrating client applications with backend services and APIs., • Understanding of distributed systems, APIs, and service architectures., • Experience working with cloud platforms (preferably AWS)., • Experience designing systems for scalability, reliability, and observability., • Familiarity with CI/CD pipelines, automated testing, and modern delivery practices., • Experience working with legacy systems and modernisation efforts. Engineering excellence • Strong testing mindset (unit, integration, and end-to-end)., • Experience with monitoring, logging, and observability tooling., • Performance optimisation and debugging experience., • Secure coding practices and awareness of common security risks., • Strong code review and maintainability focus., • Experience contributing to standards and best practices within teams. Leadership & collaboration • Experience mentoring and supporting other engineers., • Ability to influence technical direction and decision-making., • Strong written and verbal communication skills., • Comfortable working with technical and non-technical stakeholders., • Capable of leading small to medium technical initiatives or projects. Mindset & attributes • T-shaped engineer: deep in one or more areas, broad across many., • Adaptable and willing to work across technologies and platforms., • Product- and customer-focused., • Automation-first mindset., • Active learner who takes ownership of personal development., • Pragmatic decision-maker who balances speed, quality, and maintainability., • Comfortable operating in evolving, fast-moving environments. Nice to have (depending on discipline) • Experience with design systems and shared component libraries., • Experience with mobile release processes (App Store / Play Store)., • Experience with infrastructure-as-code and cloud architecture., • Experience with building cloud native products, harnessing ‘out of the box’ cloud services/modules from AWS, MS Azure etc. ‘Consume it, don’t build it’ where appropriate., • Experience using AI-assisted development tools effectively and responsibly. mkodo is a great place to work, along with a competitive renumeration package we offer excellent benefits comprising: • Hybrid Working, • Generous Holiday Allowance (increasing with service), • Gifted day over Christmas period, • Birthday off!, • Performance Bonus & Profit Share Scheme, • Quarterly team events, • Group income protection, • Life Insurance, • Charity/Volunteer Day, • Tech Loan Scheme, • Cycle to Work Scheme, • Contributory Pension, • Employee Assistance Programme, • Home working expense payment, • Friday beers provided in each office!, • Relevant individual training budget., • Digital Nomad Policy, • Generous refer a friend scheme. We encourage growth and progression because we value our colleagues and know that we best succeed when achieving and developing together.

Site Reliability Engineering Lead – Financial Services A large financial services organisation is evolving their technology production operations and are looking for a director-level Site Reliability Engineering Lead, to play a critical role in the design, engineering, operations, and improvement of the SRE platforms, teams, and organisation. You will be responsible for leading and scaling the SRE function, driving intelligent automation, observability, and resilience, across the organisation, and leading on production incidents, from frameworks to resolution. You will work in a hybrid on-premise / AWS-based environment and have deep understanding of cloud-native architecture and systems design. You should apply for this role if you are/have: • 15+ years’ experience in regulated financial services technology production environments, • Proven leadership experience in SRE or related fields (platform engineering, DevOps etc.), • Deep technical experience in cloud-native AWS and on-premise systems architecture, • Strong incident management and observability experience for large scale systems, • Intelligent automation / Agentic AI experience preferred, • Excellent AWS services, data platforms, software engineering, CI/CD, IaC, experience, • Degree educated or higher from a leading academic institution This is a £800-900 PAYE role (exclusive of employers NI/tax). Initially for six months. Based London, hybrid working.

API Automation Engineer Hybrid Working – London – 2 days a week on site. Financial Services Lorien's leading banking client is looking for a skilled API Automation Engineer with strong experience of with Rest API testing in Java to join our London-based team. The ideal candidate would have experience of working with Cloud Technologies and Streams-process platforms. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Key Skills and Experience • Rest API automation testing in Java, • Java library and framework: Lombok, Spring Boot, • Stub testing experience: yaml, wiremock or Mockito, SOAP API testing, • Programming languages experience in OOP: Java or C#, • tools used: Cucumber Gherkin, Postman (Bruno), Junit:, • CI/CD integration with Gitlab/Jenkins, • Git version control: Gitlab/GitHub, • experience in JIRA or any issue tracking system, • Agile methodologies and exposure to BDD methods, • Banking/Financial services domains experience Highly Desirable Experienced with any of the following: • Cloud technologies AWS modules: CloudWatch (logging), Athena, EC2, Lambda, storage (S3, EBS), databases (RDS, DynamoDB), • stream-processing platform: Kafka, webhook, protos, • Docker and Kubernetes (nice to have), • IND_PC3

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Job Title: Senior Cloud Engineer (contract) Location: London Hybrid. Travel to the London office on 3 days a week Duration: 11 months Contract Start Date: ASAP *note client onboarding takes 6 weeks from offer Day Rate: Competitive (Inside IR35) Deloitte Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. The Role We are looking for experienced Senior Cloud Engineers to work in the Technology and Transformation Team at Deloitte. You will work with one of our global financial services clients. This position requires a solid engineering experience as per the tech listed below, preferably with Financial Services experience. Your professional experience • 10 years Cloud Engineering experience with AWS and GCP, • Snowflake, • Cloud Dev Ops, • Java, • Python, • CI/ CD Pipeline Dev, • Kubernetes, • Terraform, • Software engineering for AWS, • DevOps tooling Deliverables: Responsibilities but not limited to: • Perform software engineering activities for AWS by developing and maintaining applications using Java and Python., • Implement and manage comprehensive Cloud Dev Ops practices, including CI/ CD Pipeline Dev, container orchestration with Kubernetes, infrastructure as code using Terraform, and utilisation of relevant DevOps tooling., • Engineer, optimise, and maintain data warehousing solutions within Snowflake. IR35 As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (‘PSCs’). All Associates must contract under PAYE arrangements through a Deloitte approved ‘Employment Company’ (aka ‘umbrella company.’)

Are you passionate about building real, production‑grade AI systems—not just prototypes or research models? We’re partnering with a fast‑growing, well‑funded AI‑native consultancy that delivers enterprise‑scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‑world problems with speed, clarity, and measurable impact. As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‑grade LLM‑powered systems. This role sits at the intersection of software engineering, AI implementation, and agentic orchestration. You will work on: • Multi‑agent architectures, • Intelligent tool and API integrations, • RAG pipelines and vector‑based retrieval, • Evaluation frameworks and AI observability Key Responsibilities • Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks, • Design evaluation and observability frameworks to measure performance, accuracy, and reliability, • Develop clean, scalable applications with proper error handling, APIs, and data pipelines, • Implement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE), • Integrate feedback loops to improve system behaviour over time, • Craft effective prompts and optimise latency, cost, and output quality across multiple model providers, • Hands‑on experience building applications using LLM APIs, • Deep understanding of model capabilities, limitations, and failure modes, • Practical experience with RAG, vector databases, knowledge graphs, and prompt engineering, • Experience building multi‑step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks), • Strong proficiency in Python (or similar language) and developing production APIs/services, • Cloud experience with AWS, GCP or Azure, • Solid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines, • Experience designing or operating cloud‑native, production‑grade infrastructure, • Strong data manipulation skills (Pandas, SQL), • Experience with AI‑assisted coding (Claude Code, GitHub Copilot, etc.), • Experience fine‑tuning LLMs or deciding when to use fine‑tuning vs RAG/prompting, • Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.), • Familiarity with observability tools (LangSmith, Weights & Biases), • Experience in regulated or industry‑specific environments (finance, energy, healthcare, legal, retail), • A fast‑growing organisation with significant opportunities for career progression, • Highly competitive salary + bonus, • A collaborative, engineering‑driven culture where you’ll make an impact from day one, • Financially strong, well‑backed business with global expansion plans, • Choose your own gear (MacBooks, PCs, accessories), • Dedicated learning & development budget

We are Hiring: C++ Developer | Build the Future of AI-Powered Video Security Join our client and help redefine how the world uses video intelligence. They are transforming video security with a next-generation platform that enables businesses to act faster, investigate smarter, and make better decisions using real-time AI insights. From critical infrastructure to retail and public spaces, we’re on a mission to bring intelligence and usability to surveillance systems. Backed by $30M in funding and already generating revenue, they are scaling fast and looking for talented engineers to grow with us. The Role As a C++ Developer, you will play a key role in building our edge-computing platform, powering our clients Point. You will be working across a high-performance, real-time system where software meets AI and hardware. What you will be doing: • Building edge applications that process real-time vision data, • Developing communication layers for compute-constrained devices, • Deploying machine learning models into production, • Optimising performance (latency, memory, GPU pipelines) in C++, • Enhancing observability and telemetry across the platform What We Are Looking For • 3+ years of experience with C++ and Python in production environments, • Experience building and optimising real-time systems, • Strong debugging and profiling skills (e.g. gdb, Nsight, Valgrind, flame graphs), • Familiarity with Docker and CI/CD pipelines Bonus points if you have experience with: • Edge / IoT computing, • Infrastructure management (e.g. Salt), • Monitoring tools (e.g. Grafana), • Video processing/streaming (e.g. GStreamer), • ML model integration (e.g. PyTorch) Why Join? • Competitive salary + regular reviews, • Equity in a fast-growing startup, • Real ownership and impact on product direction, • A world-class team (ex-Stanford, Oxford, Zoox, Lyft), • Modern tech stack and tools, • Team socials, dinners & offsites, • Work at the intersection of AI, security, and real-world impact On-site 5 days a week in London Salary £100 - 130k per annum

Technical Lead Salary: £85,000-90,000 (Depending on experience) Location: London - Hybrid Maxwell Bond have partnered with a leading digital and creative organisation, who are looking for a Technical Lead to join on a permanent basis. This is a fantastic opportunity for someone who enjoys hands-on development and is ready to take that next step up into leadership, overseeing the end to end in both client projects and in-house products in a fast paced environment. As Technical Lead, you'll work across a variety of digital initiatives, delivering high-quality client solutions for major brands and enhance cutting-edge AI-driven products. You'll lead a small team of developers and communicate between technical and non-technical teams regarding effort and scalability. What You’ll Do as Technical Lead: • Lead technical delivery of multiple concurrent projects, defining architecture across web, app, and AI-driven platforms., • Manage and support a small team of front end and back end developers, along with overseeing end-to-end testing using Playwright., • Communicate technical concepts to non-technical stakeholders and manage the day-to-day resourcing of teams using Jira. What We’re Looking For: • Proven experience leading the development of multiple projects using C# and ASP.Net Core., • Ability to manage multiple projects simultaneously in a fast-paced setting, preferably within an advertising or similar environment., • Strong understanding of CI/CD pipelines and Azure DevOps with strong communication skills, translating technical requirements for non-technical teams., • Experience with Azure AI Services or OpenAI integrations is advantageous. What You’ll Get as Technical Lead: • 25 days annual leave & holiday purchase scheme., • Hybrid working., • Private medical healthcare, income protection, pension & life assurance. This is a great opportunity for a Technical Lead to work across both product innovation and project delivery, where no two days are the same! If you thrive in a dynamic, fast-paced environment, apply now!!

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines: • Contactless sensing that monitors respiration and motion with medical‑grade accuracy, • Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance, • Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health, you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained, versioned, deployed, and monitored in both cloud and edge environments. You will be a key driver in elevating Circadia's ML practice – from reproducibility and experiment tracking to CI/CD for models and operational observability. This is a high-ownership role at a lean company where production reliability, rapid iteration, and pragmatic engineering are essential. Your work will directly impact patient outcomes by ensuring our predictive models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation • Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows., • Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments., • Implement pipeline monitoring, alerting, and failure recovery to eliminate silent failures and ensure operational reliability., • Deploy and manage ML models on AWS infrastructure (e.g. AWS Batch for batch inference workloads)., • Support deployment of models to edge devices, including Circadia’s clinical monitoring hardware, working with firmware and embedded engineering teams as needed., • Manage model versioning, promotion, and rollback workflows through the MLflow model registry., • Maintain and improve the MLflow-based experiment tracking and model registry infrastructure., • Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking., • Implement and maintain training data versioning and dataset management practices to ensure reproducibility of model training runs., • Track dataset lineage, labeling provenance, and feature dependencies alongside model versions., • Build monitoring systems for model performance in production, including data drift detection, prediction quality tracking, and alerting on degradation., • Implement operational dashboards for pipeline health, compute utilisation, and deployment status., • Collaborate with data engineering to ensure upstream data quality and pipeline reliability for ML feature inputs., • Manage and optimise AWS compute resources (Batch, EC2, or similar) used for model training and inference., • Design infrastructure-as-code solutions for reproducible ML environments., • Drive cost optimisation across ML compute, storage, and data transfer., • Introduce and champion ML engineering best practices including CI/CD for models, automated testing for ML pipelines, and reproducible training workflows., • Build internal tooling and templates that accelerate the ML development-to-production cycle., • Document operational processes, architecture decisions, and onboarding materials for the ML platform., • Ensure all ML pipelines and infrastructure meet healthcare security and privacy requirements, including HIPAA and SOC 2., • Apply best practices for handling Protected Health Information (PHI) in training data, model artifacts, and inference outputs., • Maintain audit trails for model decisions, data access, and deployment history. Attributes Required Qualifications • 4+ years of experience in MLOps, ML Engineering, DevOps, or a closely related infrastructure role., • Strong proficiency in Python for ML pipeline development, tooling, and automation., • Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow., • Experience with model registries and experiment tracking platforms (MLflow preferred)., • Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch)., • Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining., • Experience with containerisation (Docker) and infrastructure-as-code., • Proficiency with Git and version control workflows., • Familiarity with SQL and data warehousing platforms (Snowflake preferred)., • Experience implementing monitoring, logging, and alerting for production systems., • Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications • Experience deploying models to edge or embedded devices., • Background in healthcare, medical devices, or clinical data systems., • Familiarity with model serving frameworks (e.g., TorchServe, TF Serving, Triton, or custom solutions)., • Experience with CI/CD systems for ML (e.g., GitHub Actions, Jenkins, or similar)., • Experience with data versioning tools (e.g., DVC, LakeFS, or similar)., • Experience supporting data science or ML research teams in a production context., • Exposure to HIPAA compliance and healthcare security best practices., • Experience with distributed compute frameworks (e.g. Apache Spark, Dask) for large-scale data processing., • Experience with streaming or real-time inference architectures. What You Bring • You take ownership of ML infrastructure end-to-end — from training pipelines to production monitoring., • You care deeply about reliability, reproducibility, and operational excellence in ML systems., • You have strong opinions (loosely held) on how to build a great ML platform, and you’re eager to put them into practice., • You are comfortable working in a startup environment where you’ll wear multiple hats and move fast., • You communicate clearly across engineering, data science, and clinical teams., • You’re motivated by building technology that directly improves patient care. Why Circadia Health Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do. You’ll have the opportunity to: • Work on real-world healthcare problems with measurable patient impact, • Build data systems that power clinical-grade AI and ML, • Take ownership in a fast-growing, mission-driven company, • Collaborate with a highly skilled, multidisciplinary team.

Senior DevOps Engineer £530/day Outside IR-35 Largely remote with some on site presence in Croydon Active SC Clearance essential - if you do not hold this we are unable to consider you for this role About the role We’re looking for an experienced DevOps professional who can take ownership of designing, building, and optimising modern cloud‑native platforms. This is a hands‑on engineering role that also involves contributing to architectural decisions, guiding delivery teams, and ensuring platforms remain secure, scalable, and reliable. What you’ll be doing • Designing and implementing cloud platforms in AWS, with a focus on scalability, resilience, and secure‑by‑design principles., • Building and maintaining Kubernetes environments (including EKS), Helm charts, and containerised workloads., • Developing and improving CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Drone., • Delivering Infrastructure‑as‑Code using Terraform, Ansible, and other automation tooling to streamline deployment and configuration processes., • Creating prototype environments, proof‑of‑concept tooling, and experimentation platforms to drive innovation., • Supporting Agile delivery teams and working closely with developers, analysts, and testers to ensure smooth and efficient software delivery., • Enhancing monitoring, observability, and platform reliability across complex systems., • Producing high‑level and low‑level technical designs and contributing to wider technical governance discussions., • Working with security‑focused tooling and DevSecOps practices, including scanning, analysis, and secure deployment workflows. What we’re looking for • Strong, hands‑on experience with AWS, Kubernetes, Docker, and cloud‑native architectures., • A solid background in Infrastructure‑as‑Code, automation, and CI/CD engineering., • Familiarity with scripting and automation using Python and Bash., • Experience delivering within complex environments, ideally across multiple projects or large‑scale systems., • Ability to communicate clearly with both technical and non‑technical stakeholders, including senior leadership., • Someone proactive, logical, and comfortable taking ownership of solutions from design through to delivery., • Experience working in or alongside public sector or highly regulated environments is particularly valuable. Why this role This is an opportunity to work on high‑impact platforms, contribute to technical direction, and play a key role in shaping solutions used across large and complex organisations. You’ll be joining a team that values innovation, autonomy, and high‑quality engineering practice.

Staff Machine Learning Engineer – | 3 Roles | London Hybrid – (2 days) I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── London hybrid (2 days/week) Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM

Job Title: Modernization Solutions Architect Location: London (Hybrid) Employment Type: Permanent Hiring Process: 4 stages About the Role We are seeking an experienced Modernization Solutions Architect to join a high-impact solutions team focused on transforming legacy systems into scalable, cloud-native architectures. This role involves designing and delivering end-to-end modernization strategies across mainframe, midrange, and distributed environments for global enterprise clients. Key Responsibilities • Architect and deliver modernization solutions leveraging latest tools and platforms, including:, • AWS Mainframe Modernization Service, AWS Transform, and IBM Watson Code Assistant for z for automated code analysis, refactoring, and migration., • Agentic AI-driven modernization accelerators for intelligent code conversion, dependency mapping, and automated testing., • Independent Software Vendor partner technologies for modernization, • Design architectures incorporating:, • Mainframe ‘In-place modernization and optimization’, and Mainframe ‘Exit-to-Cloud’, • Event-driven architectures (AWS EventBridge, Apache Kafka, IBM MQ) for real-time integration and decoupling., • Strangler Fig patterns for incremental modernization without disrupting business operations., • Domain-driven design, microservices, and API-first strategies for scalability and resilience., • Enable UI/UX modernization using Angular, React, and other front-end frameworks., • Implement modernization approaches using Java, .NET, and modern frameworks (Spring Boot, .NET Core)., • Integrate DevSecOps pipelines, CI/CD automation, and container orchestration (Kubernetes, OpenShift)., • Advise on best practices for re-factoring, re-platforming, remediation and re-hosting legacy applications using modern frameworks and containerization. Basic Qualifications • 10+ years of hands-on technical experience with mainframe systems and technologies such as COBOL, JCL, Assembler, PL/I, RPG, Rexx, CICS, DB2, IMS DB, IMS DC, VSAM, Adabas/Natural, • Experience on distributed client-server architecture systems, with proficiency in technologies such as Java, .NET, and experience with modern front-end frameworks such as Angular, React, Vue., • Knowledge of cloud migration and modernization approaches and patterns on various hyperscaler platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, VMWare Tanzu, IBM OpenShift, Oracle Cloud. Preferred Qualifications • 15+ years designing architectures for mission-critical, large-scale transaction processing and batch applications on IBM z / IBM i systems., • Experience with AI-assisted code relearning and conversion tools, automated modernization frameworks, and agentic AI orchestration., • Familiarity with AWS Mainframe Modernization tools, AWS Transform, IBM Watson Code Assistant for z and similar hyperscaler offerings., • Knowledge of event-driven architectures, Strangler Fig patterns, and agentic AI-based modernization approaches., • Hands-on experience with containerization and orchestration platforms (Kubernetes, OpenShift)., • Familiarity with modern application frameworks (Spring Boot, Angular, React, Vue)., • Experience implementing event-driven microservices, API gateways, and serverless architectures., • Strong understanding of modernization patterns such as Strangler Fig, Domain-Driven Design, and Event Sourcing.

Role Overview Key Responsibilities • Technical Support for International Game Projects Provide technical support for large scale game projects serving global markets. Review backend server architecture, data storage approaches, and network communication patterns based on the needs of each game. Deliver tailored technical solutions that improve backend performance, reliability, and scalability. • Online Service Development and Operations Contribute to the design, development, and maintenance of online game services such as authentication, matchmaking, real time gameplay systems, and player data synchronization. Ensure services maintain high availability and low latency for players across multiple regions. • Cross Functional Collaboration Work closely with global game development teams to refine and implement technical solutions. Take part in technical discussions and knowledge sharing sessions to strengthen collaboration between engineering teams and game studios. Required Qualifications • Extensive backend development experience, including several years working within the games industry., • Degree in Computer Science or a related technical discipline, or equivalent practical experience., • Strong communication and collaboration skills, with the ability to work effectively with teams located in different time zones., • Demonstrated curiosity for technology, the ability to learn quickly, and strong analytical problem solving skills., • Professional working proficiency in English. Knowledge of Mandarin Chinese is beneficial but not essential., • Proficiency in at least one backend programming language, with strong preference for C++ or Go. Experience building high performance, highly concurrent, and highly available systems is important, including work with threading or coroutine based architectures., • Solid understanding of distributed systems and backend technologies such as microservice based architectures, message queue platforms such as Kafka or RabbitMQ, and service discovery tools such as Etcd or ZooKeeper., • Experience working with both relational databases such as MySQL or PostgreSQL and non relational databases such as Redis or MongoDB, including database performance tuning., • Familiarity with game backend systems including matchmaking services, real time gameplay infrastructure, and network synchronization mechanisms., • Experience developing with Unreal Engine is advantageous., • Hands on experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure, including knowledge of their core services and architectural patterns and the ability to design backend systems suited to real world applications., • Experience using CI and CD tools such as Jenkins, Ansible, or Kubernetes.

Software Engineering Manager (Hands-on) - 6 month initial - Hybrid/3 days pw - Circa £600pd outside IR35 La Fosse have partnered with a consultancy partner to find a Software Engineering Manager to lead a high-performing team building reliable, scalable systems. You’ll balance technical leadership/hands-on skills with people management, setting clear direction while staying close enough to the code to guide architecture and best practices. Ideally you will have managed teams working with Java and modern backend technologies, a proven track record of leading engineers, and a pragmatic, calm approach to problem-solving. Technical Requirements • Strong previous commercial experience with Java/managing JVM engineers, • Promote DevOps (build/run it) methodology and practices, • Experience designing and delivering microservices-based architectures, • Solid understanding of CI/CD pipelines, including build automation, testing, and deployment, • Familiarity with modern engineering practices: automated testing, infrastructure as code, monitoring, and observability Technology Stack • Backend development across modern JVM frameworks including Spring, Spring Boot, and Micronaut, primarily using Java, • Cloud-native services deployed on Azure, with orchestration via Kubernetes and system monitoring/observability using tools such as Dynatrace, • Data persistence and storage using a mix of relational and NoSQL technologies, including SQL Server and MongoDB, • Frontend applications built with contemporary JavaScript frameworks and languages such as React, Next.js, Angular, and TypeScript, • In-memory data grids and caching solutions leveraging technologies like Redis and Ignite If of interest, please apply with your updated CV and we can arrange a call?

Data Integration Lead (L3) – London 2-3 days a week in the office About the Role We are looking for an experienced Data Integration Lead (L3) to drive the design, development, and optimisation of enterprise data integration solutions. This role is pivotal in enabling data-driven decision-making by ensuring seamless integration of data across multiple platforms and transforming it into meaningful insights. You will work at the intersection of data engineering, architecture, and strategy, helping align data capabilities with broader business objectives. Key Responsibilities • Lead and deliver end-to-end data integration initiatives across the organisation., • Design and implement scalable, high-performance data pipelines and workflows., • Integrate data from multiple disparate sources into a unified and reliable data platform., • Collaborate with business and technical stakeholders to translate requirements into data solutions., • Develop and implement data strategies aligned with organisational goals., • Ensure data quality, consistency, and governance across all integration processes., • Optimise existing data workflows for performance, scalability, and cost-efficiency., • Support the adoption of modern data platforms and cloud-based solutions., • Contribute to CI/CD practices for data engineering and platform deployment., • Enable the integration of AI/ML capabilities to enhance data-driven outcomes. Required Skills & Experience • Strong hands-on experience with Azure Data Factory and Azure Databricks., • Advanced proficiency in SQL, including performance tuning and optimisation., • Solid understanding of data ingestion frameworks and modern integration methodologies., • Expertise in data architecture and data modelling principles., • Proven experience in ETL/ELT processes and pipeline development., • Deep knowledge of Azure cloud services within a data engineering context., • Experience implementing and managing CI/CD pipelines., • Familiarity with integrating AI/ML workflows into data platforms., • Strong problem-solving skills and ability to work in complex data environments. Preferred Qualifications • Experience leading or mentoring data engineering teams., • Exposure to large-scale, enterprise-level data transformation programmes., • Knowledge of data governance, security, and compliance frameworks., • Strong stakeholder management and communication skills.

Backend Golang Developer | London | 75k-85k | 3x a week on-site | Are you a Backend Engineer who loves solving complex technical problems and building systems that actually matter? We’re looking for someone who wants to work on high‑availability, secure, global financial infrastructure powering millions of users. You’ll work across modern backend architecture, building services that are fast, resilient, secure and built to scale , all while collaborating closely with product, mobile, and frontend teams. What You’ll Work On • Designing and improving backend services that power web + mobile applications, • Building and maintaining high‑performance APIs and distributed microservices, • Solving problems around scalability, reliability, security, and automation, • Working with modern API protocols including GraphQL and gRPC, • Enhancing the platform that connects both traditional and on‑chain financial services Must‑have experience: • Strong backend engineering background with deep coding experience, • Professional experience with JavaScript/TypeScript (Node.js) and/or Golang, • Solid understanding of microservices, event‑driven systems & distributed architecture, • Strong knowledge of PostgreSQL and/or Redis, • Understanding of web semantics, API design & backend web standards, • Proficiency with Git and version control workflows, • Experience with CI/CD, build automation and modern engineering pipelines, • Excellent communication skills & ability to work cross‑functionally Bonus experience: • Building APIs for high‑scale consumer or B2B products, • Working with message queues like Kafka, RabbitMQ, NSQ, or Pulsar, • Integrating external APIs/services, • Performance optimisation & working under performance budgets, • Interest or experience in cryptocurrencies, Web3, or digital assets, • Open‑source contributions or tech blogs/talks Why apply? • Work on real financial infrastructure, not internal tooling, • Engineering‑driven culture focused on quality, maintainability, and performance, • Build systems used globally by both consumers & businesses, • Ownership, autonomy, and genuine influence on technical decisions, • Join a team pushing boundaries in modern payments + on‑chain services If you’re excited about backend engineering, real‑world scale, and modern financial technology, we’d love to speak with you.

Senior AWS Platform Engineer | AWS, Terraform & Kubernetes | Cloud & Platform Consulting • Salary: £75,000–£90,000 + 10% bonus + 10% share options, • Location: London (Hybrid – typically 1 day per week in office or client site), • Requirement: UK Security Clearance eligibility required, • Contract: Permanent, Full-time We’re hiring a Senior AWS Platform Engineer to join a specialist cloud and platform engineering consultancy delivering secure, scalable AWS platforms for enterprise and public sector organisations. This is a hands-on consulting role, working closely with client engineering teams to design and build scalable cloud platforms. The position suits engineers who enjoy solving complex problems, working across different environments, and contributing directly to customer delivery. Engineers with a consultancy background or strong client-facing delivery experience are strongly preferred. The Role As a Senior AWS Platform Engineer, you will design and deliver modern AWS platform components while enabling teams to build and operate cloud-native applications more effectively. You will work within multi-disciplinary delivery teams, contributing to platform architecture, building infrastructure as code, and improving CI/CD pipelines and operational capabilities. Key responsibilities include: • Designing and building secure, scalable AWS platform components, • Implementing and maintaining Infrastructure as Code using Terraform, • Building and improving CI/CD pipelines to support cloud-native delivery, • Supporting containerised workloads using Kubernetes (EKS), • Working closely with application teams to enable cloud-native patterns, • Implementing monitoring, logging, and alerting for operational visibility, • Creating reusable templates, modules, and deployment patterns, • Contributing to the reliability, scalability, and security of cloud platforms, • Supporting onboarding of teams and workloads onto shared cloud platforms, • Mentoring engineers and sharing knowledge through reviews and documentation Requirements • Strong AWS platform engineering experience in production environments, • Terraform Infrastructure as Code (essential), • Experience building and operating CI/CD pipelines and automation, • Knowledge of AWS networking concepts (VPCs, connectivity, load balancing), • Experience working with containerised workloads and Kubernetes (EKS), • Strong collaboration skills and ability to communicate with engineers and stakeholders, • Consultancy background or proven client-facing delivery experience, • Eligibility for UK Security Clearance Highly Desirable • Experience delivering cloud migration, optimisation, or platform transformation projects, • Exposure to consulting environments working across multiple clients, • AWS certifications (e.g. AWS Solutions Architect Associate), • Kubernetes certifications (e.g. CKA), • Terraform certification, • Experience in public sector or regulated environments Why Join • Work on complex AWS platform programmes for major organisations, • Join a consultancy focused on platform engineering, DevOps, and cloud-native delivery, • Collaborate with highly experienced cloud engineers and platform specialists, • Work across varied client environments and technical challenges, • Be part of a business helping organisations modernise how software is delivered Benefits • £1,000 annual learning and development budget, • Funded certifications, • Flexible working with core hours (10–4), • Private healthcare, • Enhanced parental leave, • Pension and salary sacrifice options, • Employee wellbeing support and mental health resources Senior AWS Platform Engineer | AWS, Terraform & Kubernetes | Cloud & Platform Consulting

🔥 Contract Opportunity: Java Backend Engineer 📍 London (Hybrid – 2 days onsite) 📅 Start: Immediate (within 2 weeks) 📄 Long-Term Contract We’re hiring a Java Backend Engineer for a large-scale banking programme based in London. This role is ideal for engineers who enjoy hands-on development and working within established microservices environments. 💼 What You’ll Be Doing • Building and enhancing backend services using Java & Spring Boot, • Developing and integrating RESTful APIs, • Working as part of a collaborative agile team to deliver features end-to-end, • Troubleshooting, debugging, and supporting production deployments 🧩 What You’ll Bring • Strong hands-on experience with Java (9+), • Proven expertise in Spring Boot / Spring Framework, • Experience with REST APIs and microservices architectures, • Previous banking / financial services background (ex-LBG a plus), • Familiarity with CI/CD pipelines, Docker, cloud platforms, • Exposure to event-driven systems 📌 Key Details • Hybrid working: minimum 2 days per week in London office, • Candidates should be available to start within 2 weeks, • Full background verification (BGV) required, including DBS, credit, employment, education, and HMRC checks

DevOps Manager London | Hybrid About the role: I’m working with one of the UK’s largest and most successful financial services companies in support of their search for an experienced DevOps Manager. After significant investment and several core platform upgrades underway, this is a newly created role and will be vital in the coordination and success of their DevOps function. With global customers and a multi-cloud environment, this in an excellent opportunity for an experienced DevOps leader with a financial services background to manage a team of talented DevOps Engineers. You’ll be responsible for: • Leading, managing, and mentoring a team of roughly 10 experienced DevOps Engineers in a multi-cloud environment., • Implementing DevOps tools and automation, in addition to ensuring observability practices are fully established., • Driving the adoption of IaC for scalable, consistent environments, and enabling the optimisation of CI/CD pipelines., • Working alongside, and collaborating with Engineering, Security, Cloud and Platform leaders to deliver and coordinate DevOps integration and processes., • Driving and embedding best practices, continuous improvement, accountability, and ownership across the DevOps function. You’ll need to have: • Strong experience in DevOps leadership and management, with a background in DevOps/Platform engineering and a clear understanding of cloud technologies., • A background in technical leadership within the financial services, with an appreciation of its nuances and considerations., • Excellent knowledge of multi-cloud platform integration, ideally having worked in both AWS & Azure environments., • Experience in working alongside various technical teams and leaders, and an appreciation of DevSecOps. This is an excellent opportunity to manage a strong DevOps team at a renowned financial services organisation with some exciting projects planned for 2026. If you meet the (non-exhaustive) requirements and are interested in learning more, please apply for a full job description and further details. Please note, visa sponsorship is not available for this position. I’d love to speak with everyone, but due to the high volume of applications we’re receiving, I can’t guarantee everyone a response.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of ___ with our state-of-the-art ___ technologies. Key responsibilities include: • Developing and scaling robust LLM-powered applications using a variety of APIs, including ___, ___, and ___., • Implementing and managing multi-API workflows using tools like ___ to ensure flexibility and resilience., • Building sophisticated ___ systems, leveraging advanced techniques like embeddings with ___, rerankers, and query enrichment., • Designing and maintaining efficient data pipelines and vector storage solutions using ___ Atlas Vector Search., • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our ___ and user support., • Collaborating with our ___ development team to explore and build innovative ___. 🛠️ Skills and Experience • 5+ years of experience in software engineering, with a strong focus on AI and ___., • Expert-level proficiency in ___ and deep learning frameworks, particularly ___., • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek., • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like ___., • Practical knowledge of ___, prompt engineering, and performance optimization., • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions., • A strong interest in ___ and an understanding of object detection models like ___ is a significant plus., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and contribute to leading ___ software., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

Machine Learning Engineer - 3-4 Days per week in Camden office We’re partnering with a fast-growing, well-funded tech company transforming how hospitality businesses staff, plan, and operate in real time — and they’re looking for a Machine Learning Engineer to join their team. This is a hands-on, high-impact role where you’ll take models from idea → production → real-world impact across thousands of sites. You’ll be working on everything from demand forecasting to data pipelines and production deployment in a high-traffic environment used by major UK brands. This isn't your typical Machine Learning role focussed on LLMs. They are looking for talented engineers with a quantitative background and experience with statistical models. What you’ll be doing: • Building and deploying scalable ML models powering mobile apps and internal tools, • Designing data architecture for efficient storage, processing, and retrieval, • Developing forecasting and optimisation models for staffing and operations, • Owning ETL pipelines integrating multi-source data (APIs, internal systems), • Collaborating with data scientists, engineers, and business stakeholders, • Monitoring, maintaining, and improving production ML systems What they’re looking for: • Strong foundations in maths, statistics, and modelling, • Experience building production-grade ML systems (e.g. forecasting, optimisation, CV), • Solid ML Ops and data engineering experience, • Proficiency in Python & SQL (Airflow, PyTorch, Spark a plus), • Experience with AWS (SageMaker, Lambda, etc.), • Interest in backend development (Django or Go), • High level STEM Degree from a leading university. Nice to have: • Experience with data lakes / warehousing, • Familiarity with CI/CD, data versioning, and data quality practices What’s on offer: • Private medical insurance, • Equity in a high-growth startup, • Gym membership, • Dog-friendly office, • Regular team meals, snacks, and a collaborative, social culture If you’re excited by real-world ML applications, enjoy building end-to-end systems, and want to make a tangible impact — we’d love to hear from you. 👉 Apply now or message me directly for more details.

Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Job Description Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Salary: £55,000 - £65,000 per annum Overview At Reed.co.uk, we believe the world should Love Mondays. We’re looking for an Analytics Engineer to help scale our modern data platform and enable high-quality, self-serve analytics across the business. You’ll partner with Commercial and Marketing teams to deliver reliable, impactful data solutions, owning key datasets and driving better decision-making. What success looks like in this role: Within 3 months: You’re contributing to dbt models and comfortable navigating our data stack Within 6 months: You’re owning datasets and delivering end-to-end projects with stakeholders Within 12 months: You’ve significantly improved data quality, modelling standards, and self-serve adoption across our Marketing and Commercial teams. Key Responsibilities • Design, build, and maintain scalable, well-tested data models using dbt, • Develop, optimise, and maintain reliable data pipelines within Snowflake, with a focus on performance and cost efficiency, • Translate business requirements into robust, maintainable, and reusable data products, • Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions, • Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics, • Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating, and resolving data issues, • Own data projects end-to-end, from discovery and design through to delivery and iteration, • Collaborate with Analysts and Data Scientists to deliver trusted datasets powering dashboards, insights and other data products, • Document data models and ensure clear data definitions to support consistency across reporting Skills and Experience • 3+ years’ experience as an Analytics Engineer, BI Engineer, or similar, • Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation), • Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.), • Experience working with Snowflake or similar cloud data warehouses, including query optimisation, • Experience building data models that support business-facing analytics and reporting, • Familiarity with BI tools (Looker preferred; Tableau, Power BI, ThoughtSpot also relevant), • Strong stakeholder management and communication skills, with the ability to translate business needs into data solutions and present complex problems to a non-technical audience, • Strong attention to detail, with a proactive approach to testing, monitoring, and improving data quality, • Experience working with version control (git), CI/CD, and agile development practices, • Ability to manage multiple projects and work independently on well-defined problems Desirable Skills • Experience working with Salesforce, CRM and performance marketing data, • Experience working on large-scale data transformation or platform modernisation projects Tech Stack • Warehouse: Snowflake, • Transformation: dbt, • BI: Looker, • Orchestration: Airflow, • Version Control: GitHub, • Other Tools: Adverity, OpenMetadata, Jira, Confluence Benefits • Hybrid working (minimum of 3 days per week in office), • 25 days annual leave plus bank holidays, • Flexible holiday scheme, • Paid time off to move home, • Contributory pension scheme, • Enhanced family leave benefits, • Insurance benefits including life assurance, • Love Mondays events, • Discount scheme including gyms and popular retailers, • Range of wellbeing and mental health support avenues, • Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep, • These are just some great benefits we offer everyone working at Reed.co.uk!

Job Summary: We are seeking a skilled and proactive Solace Messaging Administrator to join our Messaging team. You will be responsible for managing and supporting our enterprise messaging infrastructure built on Solace PubSub+, ensuring high availability, optimal performance, and reliability across production and non-production environments. This includes working on incident response, capacity planning, WAN optimization, and system observability using tools like Prometheus and Grafana. Key Responsibilities: • Administer and maintain Solace PubSub+ appliances and software brokers across environments (on-prem and cloud)., • Provide production support for messaging-related incidents, including root cause analysis and resolution., • Monitor system performance and health using Prometheus and Grafana; proactively identify and address anomalies., • Configure and optimize Solace across WAN environments, ensuring low-latency, secure, and reliable messaging., • Collaborate with development and application support teams to troubleshoot message flow issues and integration problems., • Perform capacity planning, scaling, and tuning of Solace infrastructure to meet current and future demand., • Automate routine maintenance tasks and support continuous improvement of operational processes., • Implement and maintain monitoring alerts, dashboards, and metrics to ensure visibility into the messaging layer., • Ensure compliance with security policies and participate in audits and vulnerability remediation., • Maintain accurate documentation, including topology diagrams, runbooks, and configuration baselines., • Support proprietary messaging APIs using C++, Java, Python, and C# programming languages., • Provide support for proprietary cache and gateways that integrate applications with the messaging service. Required Skills & Qualifications: • 3+ years of experience administering Solace PubSub+ messaging systems., • Strong background in production support, preferably in a 24x7 enterprise environment., • Experience working with distributed systems over WAN, with an understanding of networking, latency, and failover strategies., • Solid experience with Prometheus and Grafana for system monitoring and alerting., • Proficiency in troubleshooting message delivery, persistence, and topic routing., • Experience with capacity management, performance tuning, and system scaling., • Familiarity with Linux/Unix systems and scripting (Bash, Python, etc.)., • Strong analytical and problem-solving skills, with attention to detail., • Excellent communication and collaboration skills. Nice to Have: • Experience with containerized environments (Docker/Kubernetes)., • Exposure to other messaging platforms (Kafka, RabbitMQ, MQ)., • Understanding of DevOps tools and CI/CD pipelines., • Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? • Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for prices, orders, trades, and mission critical applications., • Exciting opportunity to work with a wide array of technologies., • Chance to further develop your programming skills while administering and supporting one of the most advanced messaging systems available in the market.

Robotics Software Engineer – Flight Software Location: Oxfordshire or London (remote first, monthly office visit) Salary: up to £55,000 + benefits I’m supporting a fast-growing UK start-up that is building cutting-edge assurance systems to make AI-enabled robotics and autonomous systems operate safely and reliably in safety‑critical environments. They are looking for a Robotics Software Engineer to join the team developing core robotics software components that underpin perception, planning, control and decision‑making in complex autonomous platforms. You will: • Design, develop and implement robotics software components within a core robotics product., • Support algorithms and systems for perception, planning, control and decision‑making., • Work closely with embedded software, systems and AI/ML engineers to integrate components into the wider system., • Contribute to testing, validation and optimisation to meet performance and reliability requirements., • Help improve development processes, tooling and testing practices., • Stay current with the latest robotics software frameworks, tools and algorithms. What you’ll need • Degree in Computer Science, Robotics, Aerospace, Electrical Engineering or similar., • Experience developing software for robotics, embedded or autonomous systems (industry, research or substantial projects)., • Proficiency in C/C++ and/or Python., • Familiarity with robotics tools such as ROS, Gazebo or MoveIt., • Understanding of core robotics concepts (perception, planning, control, state estimation)., • Experience with modern software practices: version control, testing, CI., • Strong problem-solving and debugging skills, and the ability to collaborate in a multidisciplinary team., • Eligibility to obtain UK SC clearance. Nice to have • Exposure to safety‑critical software standards (e.g. DO‑178C, ISO 26262, IEC 61508)., • Experience with simulation environments and/or robotic hardware. Culture and benefits You’ll be joining a small, ambitious start-up where you can take real ownership, work across boundaries, and help shape both the product and the engineering culture. It’s an environment for people who are curious, proactive and motivated by solving challenging problems in AI, robotics and autonomy. Benefits include: • Up to £55,000 salary (depending on experience)., • Salary sacrifice pension with 5% matched contribution., • Generous holiday allowance., • EV car scheme., • Cycle to Work scheme., • Additional benefits as the company grows. If you’re excited about working at the intersection of robotics, autonomy and safety – and want to help set the standard for safe autonomous systems – I’d love to hear from you.

AV Installation Engineer - This is a new role in today for a friendly bespoke AV systems integration company. They are very busy at the moment and are looking to add to the team a new experienced member that has at least 3-5years high end residential audio visual experience. Ideally you will live in LONDON and happy to work in a professional environment that delivers a first client service to a discerning end user client base. You will ideally be able to install both CRESTRON and Lutron Lighting Systems. Your hands on skills need to be really good and if you also have experience with IT Home Networking that would be of interest. If you are interested in working for a company where you will be in a team and not just a number then please send me your fully technical CV that clearly shows your audio visual skills. AV A/V A-V AUDIOVISUAL AUDIO-VISUAL AUDIO/VISUAL BESPOKE SMARTHOME AUTOMATION HOME CINEMA CONTROL4 RAKO SONOS LUTRON CRESTRON CI CUSTOM INSTALL INSTALLATION RACK NETWORKING WYRESTORM DRAYTEK CEDIA lONDON

Job Title: Data Scientist Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role Purpose At Travelex, data is at the heart of every decision we make. We rely on advanced analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team. In this role, you will work closely with cross-functional teams to extract meaning from complex data, design predictive models, and translate insights into measurable business value. You’ll be instrumental in shaping how data informs strategy and drives innovation across the organisation. Objectives -Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. -Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. -Translate analytical findings into clear, actionable insights that drive strategic decisions. -Embed data science and AI solutions into key business processes to enable intelligent automation. -Stay current with the latest developments in data science, AI frameworks, and responsible AI practices, and champion their adoption across teams. Responsibilities -Act as a data strategist to identify, integrate, and leverage new data sources through product capabilities. -Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models. -Execute analytical experiments to address challenges across multiple business domains. -Mine and process large structured and unstructured datasets to extract meaningful features and patterns. -Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements -3+ years of experience in data science or a related field. -Proven expertise in data mining, statistical modelling, and machine learning techniques. -Advanced experience in pattern recognition, predictive modelling, and feature engineering. -Proficiency in Python and SQL, and a solid grasp of software engineering best practices. -Strong understanding of data structures, model evaluation, and experiment design. -Experience with data visualisation tools and communicating insights effectively. -Familiarity with MLOps frameworks, CI/CD pipelines, and model deployment. -Good knowledge of cloud-based data platforms (e.g. AWS, Databricks, Azure) -Knowledge of data governance and ethical AI principles. -Excellent communication skills, with the ability to translate technical results into business impact. -The ability to explain, brainstorm, present, simplify, clarify, prioritise, document, listen, negotiate and compromise. -Your own unique style or way of working, which will make our team diverse and original. Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AWS Cloud Architect • City of London - 2 Days per Week on site, • April Start Date, • 6-Month Rolling Contract, • Up to £750 per day - Inside IR35 We are seeking an experienced AWS Solution Architect to join a strategic cloud transformation program with a London based firm in the Financial Services Industry. This role will focus on designing and delivering scalable, secure, and high-performance cloud architectures to support critical capital markets platforms, data services, and trading infrastructure. The successful candidate will work closely with engineering, platform, and DevOps teams to define best practices for AWS architecture, guide the modernization of legacy systems, and ensure solutions meet the security, performance, and regulatory standards expected within a financial markets environment. Key Responsibilities • Design and implement enterprise-grade AWS cloud architectures supporting high-availability capital markets systems., • Define architecture standards and best practices across compute, storage, networking, security, and observability within AWS., • Lead the migration and modernization of legacy platforms into cloud-native solutions using AWS services., • Collaborate with development and platform teams to deliver scalable microservices and containerised applications., • Support the implementation of Infrastructure as Code using Terraform or CloudFormation to enable repeatable and automated deployments., • Work closely with DevOps teams to integrate CI/CD pipelines and automated release processes., • Ensure solutions meet regulatory, compliance, and security requirements relevant to financial services and capital markets., • Provide architectural guidance and technical leadership across multiple engineering teams throughout the delivery lifecycle. Required Skills & Experience • Strong experience designing and delivering AWS cloud architectures within large enterprise environments., • Hands-on knowledge of core AWS services including EC2, S3, RDS, EKS/ECS, Lambda, VPC, IAM and CloudWatch., • Experience with AI and Machine Learning are essential for the Program!, • Experience with containerisation technologies such as Docker and Kubernetes., • Strong understanding of DevOps principles, CI/CD pipelines and Infrastructure as Code (Terraform or CloudFormation)., • Experience designing highly available, scalable and secure distributed systems., • Strong stakeholder engagement skills with the ability to work across architecture, engineering, and platform teams., • Previous experience within financial services, trading platforms, or capital markets environments is highly desirable. for more information!

We’re partnering with a top-tier quantitative trading firm to hire an experienced C++ Software Engineer to work on performance-critical trading and market data systems. This is a role for engineers who care deeply about latency, determinism, and correctness, and who want to build systems where microseconds and design decisions genuinely matter. The Role You’ll be part of a core engineering team responsible for low-latency, high-throughput systems that sit directly on the trading path. The work spans strategy execution, market data processing, and core infrastructure, with a strong focus on performance and reliability. You’ll collaborate closely with quants, traders, and other systems engineers, taking research ideas and turning them into robust, production-grade software. Key Responsibilities • Design and develop high-performance C++ systems used in live trading, • Build and optimise components for market data ingestion, pricing, and execution, • Profile, tune, and debug systems where latency and throughput are critical, • Contribute to system architecture and low-level design decisions, • Maintain high engineering standards around testing, code quality, and reliability Core Technical Requirements • Strong professional experience with modern C++ (C++17/20), • Deep understanding of data structures, algorithms, and low-level system behaviour, • Experience working on latency-sensitive or performance-critical systems, • Strong knowledge of Linux, memory management, and concurrency, • Comfortable debugging complex issues across large, long-lived codebases Additional Languages & Technologies (Nice to Have) Experience with one or more of the following is a strong plus: • Python (for research tooling, prototyping, or system glue), • Rust or Go (modern systems or infrastructure tooling), • Java or C# (broader backend exposure), • Experience with networking, TCP/UDP, multicast, or kernel-level tuning, • Familiarity with build systems, CI/CD, and performance profiling tools Nice to Have (But Not Required) • Exposure to electronic trading systems or financial markets, • Experience with lock-free programming, custom allocators, or SIMD, • Background in distributed systems or real-time systems

Principal Product Security Architect £135,000 + benefits | Payments Technology | London (4 days onsite) I’m partnering with a high‑growth organisation in the payments technology sector, looking to appoint a Principal Product Security Architect. This is the most senior architect in the business, a critical role shaping secure design across customer‑facing products, cloud platforms and payments systems. The environment is modern, cloud‑native and engineering‑led. You’ll work closely with Product Security and cross‑functional engineering teams, embedding secure‑by‑design principles into new features, product lifecycles and emerging payments capabilities. This is an opportunity for someone who thrives in fast‑paced, high‑autonomy environments and enjoys influencing product direction from the earliest architectural decisions. What you’ll be doing • Leading security architecture across a fully cloud‑native, multi‑cloud stack (AWS, Azure, GCP)., • Working with Product Security and engineering squads to embed secure-by-design into customer‑facing products and payments features., • Running threat modelling, design reviews and security assessments for critical product initiatives., • Defining opinionated, reusable secure architecture patterns, developer guardrails and security controls., • Providing hands‑on architectural guidance across distributed systems, microservices and containerised workloads (Kubernetes)., • Shaping and maturing secure SDLC practices and CI/CD pipeline security., • Influencing product strategy and engineering direction as the senior-most architect. What we’re looking for • Principal‑level architect with strong Product Security leadership experience., • Deep technical capability in multi‑cloud architecture and modern application security., • Strong knowledge of Kubernetes, distributed systems, microservices and container security., • Proven experience in threat modelling, secure design reviews and establishing secure patterns., • A collaborative, low‑ego operator comfortable working across engineering, product and security teams., • Consulting‑style adaptability, confident working without heavy process and able to introduce structure where needed. What’s on offer • £135,000 salary + benefits, • High‑impact role defining security architecture across a market‑leading payments platform, • Office‑first working model (London, 4 days onsite), • Major influence over the security maturity of a scaling technology organisation If you’re passionate about Product Security, cloud‑native architecture and shaping secure innovation at scale, I’d love to speak with you. Click apply or reach out to for more information.

Full Stack Developer – Contract (Inside IR35) Up to £600 per day Inside IR35 London – Hybrid (4 days in office, 1 day WFH) 6–12 month engagement, with intention to make perm offer A leading investment management firm is seeking a Full Stack Developer to join their lean, high‑impact technology team. In this role, you’ll build and enhance tools that automate operational workflows across treasury, collateral, FinOps, and middle‑office functions. This is a hands‑on position where you’ll work closely with risk, treasury, and operations teams to identify inefficiencies, replace legacy/manual processes, and build scalable solutions that support a fast‑paced trading environment. What you’ll work on • Automating workflows across treasury, accounting, trading and middle‑office operations., • Building tools to improve collateral & margin management, capital usage reporting, and trade reconciliation., • Designing and implementing API integrations across internal and third‑party systems., • Developing in‑house solutions to replace outsourced or legacy technology., • Creating data pipelines that improve reporting and analytics for portfolio managers., • Owning projects end‑to‑end — from gathering requirements through to deployment. What you’ll need • 5–6 years’ experience as a software engineer in financial services (buy‑side preferred, sell‑side also welcome)., • Solid background in treasury, collateral, middle‑office, or financial operations technology., • Strong programming skills in C# + Python, • Front‑end experience with Vue.js, React, or Angular., • Experience with databases such as SQL Server, Databricks, or Azure SQL., • Strong understanding of data structures, automation, and workflow optimisation., • Familiarity with Git / CI/CD pipelines., • Ability to operate independently in a fast‑moving, high‑ownership environment. Nice to have: • Experience with Broadridge, Sentry, or other treasury/risk platforms., • Exposure to data warehousing, security master systems, or trade booking automation., • Experience in quant or systematic trading environments. Why this role? You’ll have direct ownership, real influence, and the opportunity to modernise critical operational infrastructure in a high‑performing financial environment. Ideal for someone who enjoys autonomy, solving operational pain points, and building robust tools that have immediate business impact.

SC CLEARANCE or ELIGIBLE FOR CLEARANCE CANDIDATES ONLY Company Overview We are working with an innovative organisation that recognises the increasing complexity of project delivery. Since 2013, our client has been helping companies of all sizes improve the way projects are delivered. Their mission is to become the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate professionals who are committed to improving project delivery. Their vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. They provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. Why Join Our Client? Our client is currently in an exciting phase of growth, making this an excellent time to join their journey. They are building something special—scaling the business while maintaining a strong people-first approach. Investment in their teams is a key priority, creating an environment where development is encouraged and individuals are supported to grow with the organisation. Position Overview Our client is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems. In this role, you will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will play a key part in enabling data-driven transformation across critical UK industries. Core Responsibilities • Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks, • Develop and maintain ETL/ELT workflows to ensure high data quality and reliability, • Collaborate with analysts and AI engineers to deliver robust and reusable data products, • Manage data lakes and warehouses using formats such as Delta Lake and Parquet, • Implement best practices for data governance, performance, and security, • Continuously evaluate and adopt new technologies to evolve the organisation’s data platform, • Provide technical guidance to junior engineers and contribute to team capability building Technical Stack Core: • Azure Data Factory, • Azure Synapse Analytics, • Azure Data Lake Storage Gen2, • SQL Server, • Databricks Enhancements: • Python (PySpark, Pandas), • CI/CD (Azure DevOps), • Infrastructure as Code (Terraform, Bicep), • REST APIs, • GitHub Actions Desirable: • Microsoft Fabric, • Delta Live Tables, • Power BI dataset automation, • DataOps practices What You’ll Bring • Professional experience in data engineering or cloud data development, • Strong understanding of data architecture, APIs, and modern data pipeline design, • Hands-on experience within Microsoft’s Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming, • Proven ability to lead technical workstreams and mentor junior team members, • A strong alignment with the organisation’s IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty Ready to Apply? This is a fantastic opportunity to join a forward-thinking organisation at a key stage of growth, working on impactful projects across critical industries. If you’re looking to take the next step in your career within a collaborative and innovative environment, we’d love to hear from you. Apply now.

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Ensuring Accurate, Complete and Timely reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Senior Onboarding Engineer Job Overview: As Novatus Global continues to grow and expand, we are looking to add an experienced Senior Onboarding Engineer to our onboarding engineering team. This role is critical to the successful implementation of the En:ACT platform for our clients. The successful candidate will work closely with clients, product teams and internal stakeholders to onboard new institutions onto the platform, translate complex data requirements into scalable technical solutions, and ensure high-quality delivery across implementation projects. This is an excellent opportunity for an experienced engineer who enjoys solving complex data problems, working directly with clients, and contributing to a fast-growing technology platform within a dynamic and forward-thinking organisation. Responsibilities: • Lead technical onboarding and implementation projects for new clients adopting the En:ACT platform., • Design and build data ingestion and transformation pipelines in Python for large-scale financial datasets., • Improve reliability and performance of the onboarding data pipeline through automation, testing and observability., • Mentor team members and continuously improve team processes., • Champion AI tooling adoption across the engineering team, helping establish norms for AI-assisted development., • Collaborate with business analysts, implementation managers and client technical teams to understand client data and reporting requirements. Required Experience: • Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability., • Fluent in python and the python data ecosystem (e.g. pandas)., • Experience building large and complex data pipelines in regulated or high-integrity environments., • Solid fundamentals in data modelling, SQL and database design., • Ability to work effectively with a high degree of autonomy and accountability., • Comfortable translating regulatory requirements into technical specs with non-engineering stakeholders. Beneficial Experience: • Experience working with AWS-based data infrastructure., • Experience with modern data platforms such as Spark, Databricks or Snowflake., • FinTech, RegTech, or financial services background. Perks & Benefits: • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Software Engineer – UK Engineering Team A fast-growing technology company building the digital infrastructure for physical AI With offices across the US, Europe, and Asia, the UK team is based in London. About the Role As a Software Engineer on the UK Engineering team, the successful candidate will help lead the design, development, and optimisation of high-performance software solutions — ensuring scalability, reliability, and maintainability. They will work closely with the US engineering team and cross-functional colleagues to translate requirements into robust technical solutions. Key Responsibilities: • Leading design, development, and optimisation of high-performance libraries, modules, and products, • Architecting scalable, reliable, and maintainable software solutions, • Writing, testing, and debugging efficient modern C++ code, • Identifying and resolving performance bottlenecks, • Mentoring junior engineers and fostering a culture of learning, • Contributing to CI/CD pipelines, build automation, and deployment, • Ensuring software security, data protection, and compliance Requirements: • Bachelor's degree in Computer Science or related engineering field, • 5+ years of hands-on experience in performant modern C++ (or strong willingness to learn), • Strong OOP experience with clean code principles and good design patterns, • Experience with Docker, containerised environments, and Linux-based OS (RHEL, Ubuntu), • Understanding of service-oriented architecture and message broker/data broker paradigms, • Willingness to travel to offices and customer sites as needed, • Ability to hold UK Security Clearance (current or previous preferred) Nice to Have: • Master's degree; 7+ years C++ and Python experience, • Experience embedding C++ in Python (and vice versa), • Distributed systems experience, • Experience with Bazel, • Background working on national security projects, • Experience in Remotely Operated Systems (RO2), Uncrewed Aerial Systems (UAS), or Counter-UAS (C-UAS) Work Style: The company operates primarily on an in-office basis, with flexibility for occasional remote work.

Embedded Software Engineer Location: Ealing Area - Hybrid Work from Home Salary: Up to £65,000 + Extensive benefits The Role KO2’s client is seeking a talented Embedded Software Engineer to help deliver robust, high-quality embedded software for existing and future electric products. This is an exciting opportunity to be involved in the full product lifecycle—from early prototype development through to production and manufacturing. Key Responsibilities • Develop high-quality embedded software that is efficient, maintainable, and scalable, • Work collaboratively with hardware engineers to support board bring-up, debugging, and system validation, • Design, implement, test, and support embedded software for internally developed electric systems, • Investigate and resolve complex real-time challenges related to timing, performance, and signal integrity, • Play an active role in shaping software architecture, coding standards, and future platform direction About You • Strong programming skills in C and C++, • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Comfortable using version control systems, particularly Git, • A proactive problem-solver with a methodical approach to identifying root causes, • Demonstrated experience in embedded software development, • Familiar with the full software development lifecycle, from requirements through to testing Desirable Skills • Experience with functional safety standards (ISO 13849 or ISO 26262), • Experience working with CI/CD pipelines (e.g. Jenkins, Docker), • Experience developing RTOS-based applications, • Familiarity with Python for tooling or automation Additional Requirements • Full right to work in the UK without sponsorship Apply today with an up-to-date CV or contact KO2 Embedded Recruitment for more details.

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.