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Cloud Engineer (London, Hybrid) We're a VC backed business working on behavioral AI solutions for the retail industry, currently operating in stealth mode. We operate in a zero-legacy environment with a mandate to build a cutting-edge platform for our customers. Role: We’re looking for an experienced Cloud Engineer to join our engineering team to help design & build our cloud platform from the ground up. This role is ideal for someone looking for a greenfield opportunity working on cutting-edge solutions. Essential Qualifications: • Strong experience designing, building, and supporting infrastructure in cloud environments., • Deep understanding of cloud networking concepts and patterns, including routing, private connectivity, and security controls best practices., • Solid experience with container orchestration systems and how to manage workloads at scale., • Proficient with Infrastructure as Code tools and practices., • Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort., • Knowledgeable about observability tools & best practices., • Ability to collaborate across teams with excellent written and verbal communication skills. Nice to Have Qualifications: • Experience with multi-cloud and/or hybrid deployments., • Knowledge of optimising and managing large-scale data processing frameworks (Eg. Spark, Trino, or similar), • Experience optimizing cloud costs/spend., • Experience setting up SRE, self-service, and incident-management processes.

Backend & Integrations Engineer – Fully Remote – AI-Powered SaaS Client Open to applicants from UK We're looking for a hands-on Backend Engineer to help shape a growing applications engineering function. If you're confident across Python APIs, integrations, and workflow orchestration—and excited by the potential of AI-assisted development—this could be a great fit. You’ll work with automation-generated code, build connectors to external systems, and embed AI tooling into daily engineering workflows. This is a high-impact role in a fast-moving team solving real-world productivity challenges. Key Skills • Python, • API integrations, • SQL, • Data modeling, • Sharepoint, • Webhooks, • AI-assisted development (Cursor, LLMs, guardrails), • CI/CD, Docker, cloud exposure (Azure, AWS, GCP) Benefits • 25 days annual leave + public holidays, • 7.5% matched pension scheme, • Private healthcare (includes family cover & pre-existing conditions), • Flexible hybrid working (2 days per fortnight in London office), • Regular social events and offsites, • On-site gym and fitness classes, • Share options available Sponsorship not available

DX helps companies build world-class engineering organizations by providing leaders with deep insights into developer experience and productivity. We are a bootstrapped, profitable company experiencing consistent, 3X year-over-year growth. Based in downtown Salt Lake City, we are trusted by customers like Etsy, Dropbox, Twilio, Pfizer, and Booking Holdings. We are a small team of passionate top performers who are energized by making an impact on our customers and our company. As a Senior Solutions Engineer, you will be the technical and consultative expert for onboarding and integrating the technical components of our platform. You will work directly with engineering teams to understand their challenges, design tailored solutions, and ensure a seamless implementation process. This role combines technical expertise, communication skills, and a deep understanding of developer workflows. Candidates must be based in London, United Kingdom. • Lead implementation discovery sessions to understand client needs, existing workflows, and goals., • Ask thoughtful questions to uncover critical details about the client’s engineering processes, branching strategies, deployment workflows, and tooling., • Act as a trusted advisor for clients, providing guidance on best practices for deployment workflows and analytics integrations., • Design and propose tailored solutions to integrate the company’s APIs with client workflows., • Provide hands-on assistance with technical integrations, • Develop scripts or tools as needed to support client implementations., • Collaborate closely with Product, Engineering, and Customer Success teams to align client needs with product capabilities., • Share feedback from clients to help inform product enhancements and roadmap priorities. • Technical Skills:, • Exposure to programming (Ruby/Rails preferred) with a solid understanding of APIs and RESTful services., • Experience with version control systems like Git and the GitHub CLI., • Familiarity with SQL, • Knowledge of CI/CD pipelines, deployment workflows and branching strategies., • Consultative Skills:, • Excellent communication and presentation skills, with experience leading client discussions., • Ability to understand complex workflows and recommend solutions., • Strong organizational skills to manage follow-ups and deliver resources promptly., • Experience:, • 5+ years in a customer-facing technical role, such as implementations, professional services, or solutions engineering., • Experience working with engineering teams and tools like Tableau, GitHub, or similar developer ecosystems. • Have experience working with financial services customers. • Mentorship & growth. You’ll work directly with senior members of the Customer Engineering team who will mentor you as you grow your career at DX., • Ownership & impact. You’ll see the direct results of your efforts in our product’s performance and customer satisfaction., • Collaborative culture. We’re a tight-knit team that values curiosity, knowledge sharing, and learning from one another. Companies have all kinds of culture statements. At DX, we clearly define what we care about and how we judge performance. For us, success comes down to individual mastery—becoming exceptional at your craft. Those who pursue and exhibit mastery will thrive and be rewarded accordingly. While we can’t always control external outcomes, we consistently strive to perform at our absolute best. • Competitive salary and generous bonus structure, • Meaningful equity in a high-growth-stage startup, • 401(k) with 4% match, • Unlimited PTO, • Company-issued laptop and necessary equipment

Role: Senior Full-Stack Developer Location: London (Hybrid – 3 days in-office per week) Start Date: ASAP Day Rate: £550 About the Company A fast-growing UK-based organisation is building software to support the delivery of high-integrity environmental solutions. Their clients include major developers and infrastructure providers, and the company is scaling rapidly. A core focus is on developing reliable internal tooling for pricing, compliance, quoting, and stock availability. The Opportunity They’re looking for a hands-on Senior Full-Stack Engineer to take ownership of the first production-ready version of their quoting and automation platform. This includes database design, backend development, and a robust front-end that internal teams can rely on daily. You’ll be responsible for architecture, implementation, deployment, and ensuring reliability from day one. Key Responsibilities Quoting & Optimisation Engine • Implement logic for pricing BNG/NN units, including rule-based calculations (e.g. adjacency, trading caps)., • Build systems that intelligently allocate available stock based on multiple constraints (e.g. location, pricing)., • Automate tasks like stock updates, KPI reporting, and pricing refreshes., • Refactor internal data sources into structured, versioned SQL-backed models., • Build a reliable, performant front-end for non-technical commercial users., • Develop middleware to surface business insights., • Set up authentication (SSO preferred), RBAC, audit trails, and security best practices., • Own CI/CD pipelines, infrastructure as code, and system monitoring from the start. Tech Stack & Experience Essential • Strong full-stack background: TypeScript with React (or similar), Python (FastAPI) or Node.js (NestJS)., • Data: PostgreSQL preferred; solid experience with schema design, migrations, and performance tuning., • Cloud/DevOps: Azure or AWS, Docker, GitHub Actions, IaC tools (Terraform/Pulumi)., • Security-first mindset: OAuth/OIDC, token auth, logging, and secure architecture., • Experience with Streamlit or similar tools (used internally for prototyping)., • Background in GIS and mapping tools (Leaflet, Mapbox, shapefiles)., • Experience in algorithmic optimisation (e.g., linear/mixed-integer programming)., • PDF/document generation from templates (WeasyPrint, Playwright, etc.)., • Familiarity with regulated industries or systems requiring audit-grade traceability.

Full-stack Engineer (AI Focused) – London A fast-growing AI-native enterprise software startup is hiring two experienced Full-stack Engineers in London. The company builds a sophisticated AI workspace tailored to financial modelling, private equity, consultancies and asset managers, with live production deployments at leading institutions. What you’ll be doing • Designing and maintaining modern frontend web apps using React / Next.js, • Developing robust backend services and APIs, preferably in Python (Django, FastAPI, etc.), • Owning large parts of the AI agent infrastructure: building and deploying multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning and evaluation frameworks, • Ensuring that AI-powered features run in production at scale — with high reliability, performance and security, • Contributing to cloud infrastructure, containerisation, CI/CD pipelines, monitoring, and optimisation, • Collaborating closely with founders, designers, growth and engineering teams to deliver mission-critical, high-impact features, • Mentoring junior engineers and promoting engineering best practices What they’re looking for • 5+ years of professional software engineering experience, • Solid, hands-on experience with React / Next.js in production environments, • Strong backend development skills (Python preferred) and familiarity with databases (relational or NoSQL), • Experience with Git, DevOps tooling, containerisation, CI/CD, caching or messaging systems (Redis, task queues, background workers), • Previous experience building and deploying AI/LLM-powered systems, especially involving RAG pipelines, model fine-tuning and evaluation, • A structured, proactive approach to problem solving, and comfort working in a fast-paced, high-ambition startup environment Why it’s a great opportunity • Join a tech venture backed by top-tier investors (including Y Combinator), and work directly with founders who have a track record of successful exits, • Competitive salary, equity and performance-based incentives, • Be a key player in scaling the product internationally, with opportunities for real ownership and impact, • Work in a challenging but rewarding environment, alongside smart, tenacious people who thrive in ambiguity If you’re passionate about building real-world AI systems end-to-end — from models to product — and want to be at the forefront of applying AI in enterprise workflows, this could be your next big move.

Senior Full Stack Engineer (Backend-leaning) - eCommerce London / Hybrid – 1 day per week in-office Up to £90k DOE + Share Options + MacBook Pro + £600 Wellbeing Allowance 🚫 Visa sponsorship is NOT available Join a VC-backed, fast-growing Series A startup redefining how customers shop for luxury fashion online. Backed by top-tier investors and trusted by iconic fashion retailers, the team is scaling quickly, and looking for engineers who can shape the next evolution of its eCommerce platform. This role sits at the intersection of fashion, fintech, and retail tech, and offers the chance to work on complex problems, elegant architecture, and a platform used by millions. What You’ll Do • Lead high-impact engineering work across the stack, with a focus on backend logic, APIs, and data modelling, • Own and scale complex Shopify integrations (beyond themes, into business logic, API orchestration, data workflows), • Help design backend systems that power everything from payments to returns to personalisation, • Build performant, reliable systems using TypeScript and AWS, • Work cross-functionally with product, design, and ops to deliver features quickly and iteratively, • Embrace automation and AI tooling to enhance developer productivity and deployment pipelines Tech Stack • Languages: TypeScript (core), Python/Ruby (data flow), • Frontend: React (preferred), Angular, Vue, Node.js also welcome, • Infrastructure: AWS, • Databases: RDBMS (must-have), Neo4j (nice-to-have), • Integrations: Shopify (core), payment gateways, fraud detection tools You’ll Thrive in This Role If You... • Have strong backend fundamentals, including schema design, relational data modelling, and query optimisation, • Understand how to design architecture and APIs behind Shopify-powered storefronts — not just tweak themes or templates, • Are comfortable with Shopify’s full stack: from Liquid and templates to deeper integrations, APIs, and business logic, • Can own API-first development and integrations with 3rd-party fintech tools, • Have experience in fast-paced, product-led environments (startups/scale-ups especially), • Are passionate about fashion, retail tech, or next-gen shopping experiences Bonus Points For: • Experience monetising or integrating with payment gateways, fraud tools, or eCommerce APIs, • Hands-on work with Neo4j, MongoDB, or Mongoose, • Familiarity with growth loops, A/B testing, or product analytics, • Past experience with CATIA or CAD tooling integrations (not required) Why Apply? • Work with global fashion brands on next-gen eCommerce experiences, • Join a lean, ambitious, high-output team, • Build real systems, not just frontend themes, • MacBook Pro + £600 wellbeing budget + generous share options, • Work where fashion, fintech, and engineering meet If you're a strong full-stack engineer with backend leanings and a passion for building serious products in Shopify, this is a rare opportunity to join a high-growth team on a mission to reshape fashion commerce at scale.

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London, with two to three days per week on site, and offers a top tier salary plus equity package to reflect the strategic and high impact nature of the work. Why This Role Matters You are part of the initial engineering core, playing a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via equity. Role Responsibilities • Architect, design and build foundational systems and platforms that underpin next generation AI driven products, • Collaborate closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production, • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models, • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration, • Drive end to end ownership from ideation to deployment, performance and scaling, • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments, • Deep familiarity with large scale model training and production deployment, especially for reinforcement learning or transformer based architectures, • Hands on experience building and maintaining Frontend applications - React, Typescript, • Strong programming background in Python and or relevant frameworks such as TensorFlow, PyTorch or Hugging Face, • Fluent in cloud native development, containerisation, orchestration (for example Docker or Kubernetes) and CI/CD, • Exceptional problem solver with an entrepreneurial mindset who is comfortable with ambiguity, fast iteration and changing priorities, • Eagerness to collaborate with world class academics and product professionals to shape high impact solutions What’s on Offer • Top of market salary benchmarked for senior founding engineers in London, • Significant equity stake aligned to reward substantial contributions and long term upside, • Flexible hybrid working model with two to three days per week on site in London, balancing focused collaboration and deep work, • Direct exposure to groundbreaking research, product innovation and machine learning operations including multi agent reinforcement learning and trillion token language model training, • A start up like environment with world class talent combined with the discipline to build with scale in mind

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. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc., • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Description Your Career We are seeking a Threat Intelligence Researcher for our Unit 42 Intelligence Response Unit. This team plays a critical role in providing timely, actionable threat intelligence and response capabilities to help protect our customers. Your Impact As a Threat Intelligence Researcher in the Intel Response Unit, your primary responsibilities will include: * Embedded Intelligence Support: Partner with the Unit 42 incident response teams to provide intelligence support to cases and track activity with intelligence value, including high profile cases that may require support outside of normal business hours. * Leveraging Unique Data Holdings: Harness the full weight of the company's unique data holdings, including product telemetry, front line Incident Response (IR) and Managed Detection and Response (MDR) data, and Intel Holdings. Utilize these resources to produce unique and valuable insights, enhancing the effectiveness and differentiation of our threat intelligence capabilities. Integrate internal holdings with external information to provide actionable intelligence findings to IR teams. * Contributing to External Engagement: Develop engaging and informative content, including customer briefings, threat reports, and updates on major cyber events. Share insights and expertise internally, with customers, and at security conferences. * Cross-Organizational Collaboration: Collaborate with threat analysts, consultants, and engineers from various teams and departments within the organization. Foster strong relationships and support joint efforts to address complex threats that span multiple areas of expertise. * Leverage AI for Analytic Workflows: Integrate Generative AI, NotebookLM, and other artificial intelligence and machine learning solutions across all phases of the intelligence lifecycle to improve analytic workflows. Use and develop new AI solutions to reduce research toil, query existing intelligence holdings, and accelerate report and presentation creation. Qualifications Your Experience * 8 + years of relevant professional expereince such as integrating cyber threat intelligence into incident response engagements, including demonstrated ability to coordinate with cross-organizational threat analysts, facilitating collaboration, and aligning efforts to achieve common goals. * Strong knowledge of cyber security threat actors, particularly their tactics, techniques, procedures, tooling, and noteworthy attacks. * Experience leveraging open source data sets, internal telemetry, and case information to identify technical pivot opportunities, patterns of activity, and trends. * Strong writing and presentation skills, with the ability to effectively communicate complex threat intelligence information to diverse audiences. * Highly organized with the ability to manage multiple tasks, prioritize effectively, and triage competing demands. * Track record of using Deep and Dark Web intelligence to identify and report on cyber threats, vulnerabilities, and threat actor TTPs (Tactics, Techniques, and Procedures) * Hands-on experience using large language models (LLMs) to accelerate threat intelligence analysis * Familiarity with Vertex Synapse a plus Additional Information The Team Unit 42 brings together our world-renowned threat researchers with an elite team of security consultants to create an intelligence-driven, response ready organization. The Unit 42 Threat Intelligence team provides threat research that enables security teams to understand adversary intent and attribution, while enhancing protections offered by our products and services to stop advanced attacks. As threats escalate, Unit 42 is available to advise customers on the latest risks, assess their readiness, and help them recover when the worst occurs. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Lead SRE - AWS/Azure Location - London, Hybrid -3 Days per week onsite Contract - Initially 3 Months, extension likely Our hospitality client is urgently looking for a Lead SRE to support the function, setting technical direction in line with business objectives. • Proven experience as a technical leader within SRE, DevOps, or large-scale engineering environments., • Hands-on expertise in cloud infrastructure (e.g., AWS, Azure), containerisation (Kubernetes, Docker), and modern observability stacks., • Strong track record of driving developer productivity improvements through tooling, automation, and process refinement., • Deep understanding of reliability engineering principles, including SLIs, SLOs, and error budgets., • Excellent communication and stakeholder management skills., • Ability to lead by influence and build consensus across diverse teams., • Experience with incident response, root cause analysis, and implementing preventative measures., • Comfortable working in a fast-paced, results-oriented contract environment. Please apply with your up-to-date CV in English.

Contract AI Engineer – Azure AI Agents | Inside IR35 | Hybrid (UK-based) Join one of the UK’s leading Investment management firms' cutting-edge AI transformation project. They're building a Greenfield AI agent platform to revolutionise how investors interact with customer data. What You’ll Do • Build and deploy modular AI agents using Python and containerisation tools., • Leverage RAG, embeddings, and OCR to synthesise customer data., • Collaborate with data engineers, DevOps, and integration specialists., • Deliver APIs for seamless integration into Microsoft 365 and Dynamics 365 environments., • Contribute to a high-impact roadmap with full business support. What You’ll Bring • Proven experience shipping production AI solutions., • Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.)., • Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic)., • Experience with Azure integration services is a bonus., • Passion for AI and automation - financial services background not required. Why Join? • Greenfield opportunity in a highly supportive environment., • Exposure to cutting-edge AI tooling and real-world customer data., • Flexible team, open to mid-level engineers with strong delivery experience., • Initial 6-month contract with potential for extension.

Founding Machine Learning Engineer £140,000 - £160,000 + Equity 3 days minimum in Central London Opus are hiring on behalf of a fast-growing, Y Combinator-backed start-up that’s redefining how financial data is processed and understood. Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale. Their platform is already trusted by leading firms in the alternative investment space, and they’re now expanding their machine learning team to accelerate innovation. This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: • Natural Language Processing (NLP), information extraction, and working with large language models (LLMs), • Python programming and major ML frameworks such as PyTorch or TensorFlow, • MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflows, • Utilising AI-enhanced development environments and tools to streamline experimentation and deployment, • Cross-functional collaboration with engineering, product, and business stakeholders, • Agile methodologies and fast-paced product development environments Preferred Qualifications The following will be considered advantageous: • Advanced academic credentials (Master’s or PhD) in computer science or a related field, • Experience in training and deploying LLMs at scale, • Familiarity with cloud infrastructure and distributed computing environments, • Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker, • Knowledge of fine-tuning techniques including LoRA, QLoRA, or other parameter-efficient frameworks Role Overview The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes: • Developing models for classification, entity recognition, summarisation, and retrieval, • Customising and refining LLMs for specific business applications, ensuring optimal performance and scalability, • Collaborating with data engineering teams to prepare and transform large datasets for model training, • Building robust ML services with monitoring, retraining, and performance tracking capabilities, • Enhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systems, • Partnering with product and engineering teams to embed ML capabilities into core platforms, • Staying abreast of emerging research in LLMs and agentic AI, and applying relevant innovations to production systems, • Supporting team development through code reviews and mentoring junior engineers

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

Founding Engineer - £100k - Remote, AI + Equity What if your next role let you rewrite the rules of mobile connectivity—without ever touching legacy code? We’re looking for a Senior Mobile Developer to join a remote-first team (Europe-based) that’s building the future of mobile carriers from the ground up. This isn’t about patching up old systems or working around outdated infrastructure. It’s about creating a sleek, user-first mobile experience that makes traditional telecoms look like dial-up. You’ll be leading the development of a cross-platform app, built with a clean, scalable architecture and a product that’s already live and growing fast. You’ll be hands-on with everything from UI polish to performance tuning, and you’ll have a strong voice in architectural decisions, tooling, and release strategy. The team is small, sharp, and fully remote. Everyone here codes, cares, and collaborates. We move fast, iterate constantly, and keep meetings to a minimum. You’ll be trusted to lead features end-to-end, mentor other devs, and help scale the app as it expands across Europe. You’ll work closely with product and design to ship experiences that feel effortless but are anything but simple under the hood. This isn’t just another app job. It’s a chance to help build the future of mobile from the ground up. The mission is to make connectivity as seamless and modern as the apps we use every day—and the team is backed by experienced founders and operators who know how to build and scale consumer tech. If you’ve built and shipped Flutter apps at scale, and you’re excited by the idea of disrupting an entire industry with elegant code and bold ideas, we’d love to talk. Apply now or reach out if you want to chat more about the role. Venchr is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Java Developer / Backend Software Engineer (Java AWS) London / WFH to £100k Opportunity to progress your career in a senior, hands-on Java Developer role at a global FinTech / CFD trading company that has been consistently voted as one of the UKs top employers. What's in it for you: • Salary to £100k + Bonus, • Pension, Private Medical Care, Life Assurance, • Option to buy or sell holiday days, • Wellness benefits and gym subsidy, • Childcare vouchers, • Enhanced paternity leave including shared parental pay and leave, • Employee led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events and projects that foster an open, diverse and inclusive culture, • Plus a range of other perks Your role: As a Java Developer you will join a fairly new team working on a new crypto offering to design, develop and implement high performance cloud-native backend services including owning DevOps processes to ensure systems are robust, secure and observable. You'll be working with a modern tech stack using Java, Spring Boot, CI/CD, Kubernetes, AWS, EKS and Grafana / Splunk. About you: • You have advanced backend software engineering experience with Java, Spring Boot, REST, Postgres, Redis, • You have experience of running production workloads on Kubernetes (Amazon EKS preferred), • You have a good knowledge of DevOps practices including CI/CD, IaC (Terraform) and container orchestration, • You have experience with observability tooling, • You have a solid understanding of secure coding and deployment practices, • You're collaborative and pragmatic with great communication skills Apply now to find out more about this Java Developer / Backend Software Engineer (Java AWS) opportunity.

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search, Recommender Systems, Personalisation, and Generative AI (GenAI) to power the next generation of user experiences. You will be responsible for shaping the strategy, building high-performing teams, and delivering impactful ML-driven features that directly influence key business outcomes. This is a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership • Define and execute the long-term strategy for Data Science & ML aligned with company goals., • Champion a culture of innovation, experimentation, and scientific rigor., • Stay on top of industry trends and emerging technologies in AI/ML, particularly in GenAI, Search, RecSys, and Personalisation. Search & Information Retrieval • Lead the development and optimization of scalable search systems, including relevance tuning, semantic search, and ranking algorithms., • Integrate LLMs and transformer-based models to enhance search accuracy and contextual understanding. Recommendation Systems & Personalisation • Oversee the design and deployment of large-scale recommender systems (collaborative filtering, deep learning-based, hybrid models)., • Drive user-centric personalisation across product surfaces using behavioural, contextual, and real-time data., • Ensure systems are explainable, bias-aware, and continuously improving. Generative AI (GenAI) • Spearhead the application of GenAI across product areas (e.g., content generation, chat assistants, creative tools)., • Evaluate and fine-tune large language models (LLMs) or multimodal models to meet domain-specific needs, • Partner with engineering and product teams to deploy GenAI solutions that are scalable, secure, and responsible. Team & People Management • Build, mentor, and retain a world-class team of data scientists, ML engineers, and research scientists., • Foster a collaborative, inclusive, and high-performance team culture., • Implement best practices for experimentation, model development, and production deployment. Cross-functional Collaboration • Work closely with Product, Engineering, Design, and Marketing to align ML initiatives with business priorities., • Translate abstract product ideas into concrete ML solutions with measurable impact., • Communicate complex technical ideas clearly to non-technical stakeholders. Qualifications Required: • 10+ years of experience in applied data science / ML, with at least 3 years in a leadership role., • Proven experience delivering production-grade systems in Search, Recommender Systems, or Personalisation., • Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX)., • Hands-on experience with GenAI, including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models)., • Deep knowledge of MLOps, experimentation, and model evaluation techniques., • Experience scaling ML platforms, pipelines, and tooling in cloud environments (e.g., AWS, GCP, Azure). Preferred: • PhD or MS in Computer Science, Machine Learning, Statistics, or a related field., • Publications or patents in relevant areas (Search, RecSys, GenAI)., • Familiarity with data privacy, model fairness, and responsible AI principles., • Experience in [insert domain: e.g., e-commerce, media, fintech, healthcare].

VP of Vulnerability Management Salary - £95-110k + 15-20% Bonus + Benefits Location – London (2-3 days in office per week) Newly created role with a major Financial Markets organization, looking to hire a VP level Vulnerability Management SME to build on and enhance their existing VM capabilities and eventually take ownership and stand this up as its own core pillar across Information Security. First and foremost, they need someone who understands the technical elements of Vulnerability Management inside out, who can work with the wider SecOps and Infrastructure Engineering functions to respond to high-profile vulnerabilities and ensure all vulnerability management platforms are working at maximum capacity and all patching runs smoothly; whilst also working with the wider business to ensure Vulnerability Management is incorporated into wider company strategies and acting as the Subject Matter Expert for all Vulnerability Management related queries. This is an incredibly opportunity to genuinely take ownership of their Vulnerability Management function as they look to significantly invest and develop it into its own core pillar within Information Security. You’ll have freedom to remain hands-on in the technical elements whilst also leading the strategic and long-term growth of the function. Key Responsibilities • Drive the Vulnerability Management strategy across the business, acting as the SME for all VM related queries., • Configure, fine-tune and manage the Vulnerability Management tooling (Qualys, RiskSense, Tanium, etc)., • Work with SecOps teams to coordinate response to high profile / severity vulnerabilities., • Develop and enhance Vulnerability Management standards and procedures, continually looking for opportunities to VM capabilities. Key Requirements • Hands on experience in a dedicated Vulnerability Management position, acting as the VM authority and SME., • Previous experience working within or alongside a SecOps function, responding to incidents and safeguarding against high profile vulnerabilities., • Knowledge of cryptographic and encryption concepts and their associated vulnerabilities / security concerns – SSH, TSL, etc., • Strong communicator who can work with both technical and non-technical audiences, translating technical concepts into business risks.

Senior SecOps Specialist Location – Fully Remote Salary - £80-90k + Bonus + Benefits Currently working with a UK HealthTech firm who are in the process of building out their Cyber Defence capability and looking to bring in a cloud-based Security Operations Specialist. This is a wide ranging role where you’ll be responsible for both Engineering and Analysis; monitoring and responding to incidents whilst also developing new detection rules and enhancing their monitoring infrastructure and tooling. This is an incredible opportunity for an experienced SecOps specialist with experience of both SecOps Analysis and Engineering to join a growing yet established firm at a crucial point as they completely build out their Information and Cyber Security capability. Whilst they have the fundamentals in place, this is a relatively greenfield SOC buildout, where you will work alongside the SOC Manager to shape their SOC monitoring, detection and response function. Key Responsibilities: • Act as a lead and technical escalation point on the most complex incidents and investigations., • Develop and engineer new detection rules, automating monotonous tasks where possible., • Proactively research emerging and potential threat actors as a way of developing rules to safeguard against potential future threats., • Mentor and train junior team members through complex incident response investigations. Key Requirements: • Significant experience working in a SOC environment (5 years minimum), dealing with and responding to escalated and most high profile incidents., • Comprehensive knowledge and experience utilising/fine-tuning the Microsoft Security stack – Defender, Sentinel, KQL, etc., • Experience working in hybrid-cloud SOC environments – Azure/AWS preferably., • Ability to articulate specific projects that you have built, developed or led on, specific to SecOps Engineering and Automation. If you’re an experienced SecOps Specialist, looking to shape how one of the most innovative HealthTech firms build out their cyber defence capability and leave a lasting impact on one of the most reputable organisations whilst working alongside a team of genuine Cyber Security SMEs, click the to apply or get in touch directly –

My client, a leading multi-strategy hedge fund, is seeking an mid level (3-10 years of exp) Infrastructure Engineer to join their high-performing team. This individual will help support and evolve the firm’s multi-cloud technology estate (Azure & AWS) across Windows and Linux, where performance, scalability, and resilience are critical. You’ll work closely with an Infrastructure Team Lead and senior leadership, contributing to cybersecurity posture and disaster-recovery programs while improving DevOps practices. This is an opportunity to work across a wide range of technologies, contribute to strategic projects, and make an immediate impact within a collaborative environment. Ideal profile: • Helpdesk/service-desk background supporting end users, with strong troubleshooting skills., • Microsoft stack: Windows 11/Server 2019–2022, Microsoft 365, Active Directory/Entra ID, DNS/DHCP., • Cloud: Azure (App Services, Storage, Networking, Resource Groups) and awareness of AWS; hybrid integrations and migrations., • DevOps & automation: Azure DevOps or GitHub Actions, Git/GitHub, scripting in PowerShell/Bash/Python; IaC with Terraform/Ansible., • Security & networking: anti-virus/malware/endpoint tooling; fundamentals across Cisco switching, Palo Alto firewalls, SD-WAN (Cato/Prisma), IPSec VPN, and basic Kubernetes concepts. What you’ll do: • Provide 1st/2nd/3rd line support., • Build and manage user devices; own onboarding/offboarding workflows; administer O365., • Support cloud environments, monitor performance/security, and automate with pipelines & IaC., • Assist with network projects and security tooling; collaborate with a SOC partner on monitoring., • Maintain diagrams/KBs and contribute to BCP/DR testing and continuous improvement. To secure the most relevant hire, my client is committed to offering a strong uplift on current base salary alongside market-leading bonuses. They also provide exceptional benefits, including great daily perks and private healthcare. Apply now via the link below or send your resume directly to .

Create the future of travel with us Whether it’s to visit the people closest to us, starting an exciting adventure, or a career-defining business trip, travel is an essential part of our lives. Yet we've all experienced the aches and pains of getting to our destination. Today, more than 4 billion airline passengers rely on technology that hasn't kept up with the expectations of the modern connected traveller. That’s why we’ve started to rebuild the infrastructure that underpins the travel industry. We’re on a mission to unravel travel — simplifying systems and building the tools that will make the future of travel effortless. Central to this mission is ensuring seamless, secure, and reliable payment experiences, which are crucial for every transaction and a cornerstone of trust in our platform. We were part of Y Combinator S18's cohort and we are backed by Benchmark, Blossom, Index Ventures, and Kima Ventures. A fantastic set of investors that has helped build some of the world's largest companies. Our team in London is growing, and we’re looking for talented people to join us on our journey. What we're looking for in you • You are hands-on. You're comfortable jumping into the codebase, contributing directly to projects, and pairing with engineers to solve complex problems., • You have strong technical judgment. You can arbitrate technical discussions and make tradeoffs that balance short-term impact and long-term health., • You’ve led engineering teams. You’ve managed and grown mid-sized teams (5-10 engineers), and you know how to balance delivery with team wellbeing., • You value leadership. You lead by example, create space for others to thrive, and measure your success through the growth and success of your team., • You communicate with clarity. Whether in code reviews, design documents, or team updates, you communicate ideas in a way that builds shared understanding. What we are looking for in you • Technical leadership: Writing and reviewing production code regularly, contributing to Duffel’s engineering standards and helping the team make well-informed technical decisions., • Shaping the roadmap: Collaborating with product managers and designers to define and deliver on a roadmap that balances technical and customer priorities., • Team enablement: Driving high team performance through enabling healthy engineering practices—agile delivery, rapid iteration, test-driven development, and continuous improvement., • Mentorship & coaching: Supporting your teammates in their personal growth through 1:1s, mentoring, and continuous feedback. Helping engineers identify and pursue their career goals., • Engineering culture: Actively contributing to a positive, inclusive, and collaborative culture where technical excellence and empathetic leadership go hand in hand., • Org design & hiring: Partnering with the People team and leadership to recruit, onboard, and retain top engineering talent. Helping shape how Duffel scales its technical organisation., • Cross-functional collaboration: Working across teams to improve developer experience, infrastructure, reliability, and scalability of our systems. What you can expect from us We're dedicated to your personal growth. Our environment is comfortable both physically, but also in that our ears are always open to any ideas, concerns and questions. We believe that everyone should have pride in their work, taking full ownership of it and its impact. That's why everyone who joins Duffel owns a share of the company. We are an equal opportunities employer. We believe that the key to our success is employing a diverse team, that's why recruitment decisions are only based on your experience and skills. We value your ability to problem solve and build amazing things so we welcome applications for everyone – regardless of age, sex, disability, sexual orientation, race, religion or belief. Note to recruitment agencies Duffel does not accept speculative CV's from external parties. Any unsolicited CV's sent to us will be treated as property of Duffel, and any attached terms and conditions associated with these CV's will be null and void.

The Role An exciting opportunity for a Python / Django Engineer to join a fast-scaling fintech business in the automotive space. You'll be working across several high-impact, greenfield projects that sit at the heart of the company's next phase of growth. You'll be joining a distributed engineering team and will play a key role in delivering new products, improving internal tooling, and helping set the standard for clean, maintainable code. Key Projects You'll contribute to three core initiatives, each with clear deliverables and tangible business impact: * AutoBI Tool (3 months) - Build backend functionality for a pricing and analytics tool used by automotive partners, integrating real-time data and SSO capabilities. * Admin Portal Overhaul (3 months) - Redesign and enhance an internal Django Admin-based system to improve usability for internal and external users. * Gamified Consumer Platform (4 months) - Develop backend components for a customer-facing rewards and voucher system, built in collaboration with marketing and growth teams. These projects are well-defined, fast-moving, and will give you full ownership of backend delivery. Responsibilities * Develop, test, and deliver clean, scalable backend code using Python and Django * Collaborate closely with PMs, frontend engineers, and QA teams to deliver end-to-end features * Take ownership of key deliverables across multiple concurrent projects * Support smooth handovers to permanent teams post-delivery Skills & Experience Must-have: * Strong commercial experience with Python and Django * Deep understanding of Django ORM * Proven ability to work autonomously and deliver to deadlines Nice-to-have: * Experience building or improving admin portals * Exposure to consumer-facing or data-driven applications * Background in automotive, fintech, or SaaS environments Soft Skills: * Excellent communication and collaboration skills * Proactive approach to problem-solving * Comfortable working in fast-paced, delivery-focused environments

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own the infrastructure and tooling that turns experimental models into dependable production systems. You will build the pipelines, monitoring, and deployment workflows that allow our Research Engineers to move fast without breaking things. If you want to operate at the intersection of machine learning and production systems engineering, this role is for you. What You Will Do • Build and maintain CI/CD pipelines for model training, evaluation, and deployment across research, staging, and production environments., • Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases., • Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving., • Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health., • Manage infrastructure as code (Terraform, or similar) for compute resources, ensuring efficient scaling across training and inference workloads., • Collaborate with research and engineering teams to establish system SLOs/SLAs aligned with business objectives., • Build tooling and abstractions that make it easy for Research Engineers to deploy models reliably without needing deep infrastructure knowledge., • Ensure compliance, governance of all ML processes and workflows. What We Look For • Experience building and operating ML infrastructure, ideally in production environments serving real users., • Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows., • Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems., • Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure)., • Experience with relational databases and data processing and query engines (Spark, Trino, or similar)., • Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent)., • Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints., • A mindset that balances reliability with velocity: you care about reliability and reproducibility, but you also enable teams to ship fast. Nice to Have • Experience delivering API services (FastAPI, SpringBoot or similar)., • Experience with message brokers and real-time data and event processing (Kafka, Pulsar, or similar). Why Join Us • You'll be part of a small, high-output team where intensity and focus are the norm., • You'll own the infrastructure that enables research to reach customers reliably and at scale., • You'll solve hard problems at the edge of ML systems: multi-modal models, on-device deployment, real-time inference, and retail-scale operations., • You'll work alongside people who care deeply, move quickly, and hold a high bar for excellence.

Lead Software Engineer (Java) – London / Hybrid Are you a Lead Backend Engineer with a strong background in Java and modern backend architecture? In this senior technical leadership role, you will set the technical vision, influence system design, and guide teams in delivering secure, scalable, and high-performing services. While remaining hands-on for key projects, you will focus on mentoring others, driving engineering excellence, and ensuring the backend strategy aligns with business goals. Key Responsibilities • Define and evolve backend architecture to ensure scalability, maintainability, and reliability., • Establish and uphold coding standards and secure development practices., • Guide technology choices, frameworks, and tooling to enhance delivery performance., • Drive improvements to CI/CD pipelines and operational workflows., • Communicate technical risks and trade-offs clearly to non-technical stakeholders., • Contribute directly to core systems when specialist expertise is required., • Conduct code reviews and ensure architectural consistency across teams., • Provide oversight on major initiatives to guarantee technical soundness and delivery quality., • Coach and mentor engineers to strengthen the backend discipline across teams. Lead design sessions, code reviews, and collaborative technical discussions. Skills & Experience • Proven experience as a senior or lead backend engineer with Java (11+) and Spring Boot., • Expertise in designing and leading backend architectures for complex systems., • Strong understanding of AWS, Kubernetes, and modern microservice-based systems., • Experience with Kafka or similar event-driven technologies., • Familiarity with RESTful APIs, SQL/NoSQL databases, and CI/CD best practices., • Excellent mentoring and leadership skills with the ability to influence technical direction. About the Company Our client is a leading digital product studio creating world-class applications, middleware, and digital solutions for global entertainment and gaming brands. They foster an open, collaborative culture where skilled professionals are trusted to take ownership, contribute ideas, and drive innovation. Benefits include: • Hybrid & flexible working arrangements, • Annual performance bonus, • 26 days of annual leave, • Regular team events and socials, • Life insurance and income protection, • Tech loan and dedicated training budget If you want to join a company that offers a dynamic, supportive environment where innovation and growth are encouraged. Apply now. Lead Software Engineer (Java) – London / Hybrid

The Team OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. The Goal Join us as a Generative AI Engineer and shape the future of sports betting. You’ll craft cutting-edge AI prototypes, fine-tune LLMs, and build powerful APIs that bring next-gen intelligence to our platform. Working across research, product, and engineering, you'll deliver real-world solutions using technologies like Retrieval-Augmented Generation and cloud-based AI tooling from Microsoft, AWS, and Google. You’ll be part of a dynamic team pushing the boundaries of what’s possible—driving innovation, scalability, and strategic impact in a fast-moving, highly regulated industry. The Player You’re fluent in generative AI, from prompt engineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch, and a sharp eye for AI trends and ethics. You’re collaborative, curious, and ready to build intelligent systems that perform at scale. If you’re passionate about innovation and excited by the intersection of AI, tech, and sports betting—this is your game. What we can offer YOU: • Attractive benefits that include flexible working options and opportunities for tangible career progression., • A world-class team that's redefining the sports betting industry through AI, providing a vibrant and collaborative working environment., • The opportunity to build on our established machine learning capabilities and help shape the next generation of AI-powered betting experiences., • Access to cutting-edge tools, resources, and training to support your growth and development in the rapidly evolving AI landscape., • The chance to see your work fuel innovation and deliver impactful solutions to a global betting audience., • Regular opportunities to participate in knowledge-sharing sessions, conferences, and industry events to stay at the forefront of AI developments., • A culture that values intellectual curiosity and encourages exploration of how AI intersects with other emerging technologies and global business trends. And if that's not enough; you'll enjoy a forward-thinking workplace and endless opportunities to stretch your technical expertise while making your mark on the world of sports betting technology. Open to hiring in London, Athens OR Lviv At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetization by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Role Description This is a full-time on-site role for a Founding Engineer, located in the London Area, United Kingdom. The Founding Engineer will be responsible for leading the technical development of new software products, collaborating closely with content creators and their management teams, and implementing AI-driven solutions. The role also involves hands-on coding, system architecture design, and ensuring scalability and reliability of the software. The Founding Engineer will work in a fast-paced, dynamic environment and contribute to the overall strategy and growth of digital ventures. Responsibilities • Code with AI-first speed. Use AI to turn product specs into production-ready React, Supabase, and serverless back-ends in days, not weeks., • Architect for scale (and scrappiness). Apply clean, hexagonal patterns so v1 can evolve without rewrites., • Prototype → pilot → product. Move fast through validation loops: hack the MVP, shadow users, ship the fix, repeat., • Wear many helmets. One sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time., • Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements • Full stack developer, • AI-native developer that has used or experimented with the latest AI development tooling, • Strong coding and software development skills in languages and with tools such as ReactNative / Flutter / Next.js, Supabase / Postgres, Python, • Experience in system architecture design and implementation, • Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems, • Experience in startup environments and rapid product development, • Bachelor's or Master's degree in Computer Science, Engineering, or related field, • Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's • Prompt-engineering or fine-tuning experience, • Familiarity with Stripe, Discord, TikTok or other creator-economy tools, • Side hustle, hackathon wins, or open-source contributions, • Shipping Experience: You’ve shipped AI side projects, or research, that prove you can learn fast and finish. Why this role is a-career launchpad • Own the code & the company. You step in as Founding Engineer #1, receiving a meaningful equity stake from day one., • Ship faster with AI at your side. We’ve baked AI tools into our workflow so you spend time solving problems, not yak-shaving boilerplate., • Ride a rocket, not a conveyor belt. Affinity Labs is a venture studio that partners with top content creators to turn influence into scalable software. Think “Prime for software”, • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3 - 4 years in a typical startup., • Learn from builders, not bosses. You’ll work shoulder-to-shoulder with a founding team that has scaled VC-backed startups, closed multi-million-pound term sheets, and shipped products used by millions.

Senior Full Stack Engineer (Backend-leaning) - High-Growth eCommerce Platform London / Hybrid (1 day per week) · c£80,000 + Share Options · VC-backed Series A Startup 🚫 This company is unable to offer visa sponsorship at this time Shape the Architecture of a High-Growth eCommerce Platform We’re working with a VC-backed, Series A startup in the luxury eCommerce space that is scaling fast and working with some of the most recognisable fashion brands globally. They’re looking for a Senior Full Stack Engineer (backend-leaning) to take ownership of architecture, data flows, and complex integrations powering a platform used by millions. This isn’t about tweaking themes, it’s about designing and scaling systems at the core of a rapidly growing business. The Opportunity • Design and scale backend systems powering payments, returns, personalisation, and more., • Lead API-first development, data modelling, and performance optimisation., • Build reliable systems in TypeScript, working across the stack with React on the frontend., • Own deep integrations with Shopify APIs and third-party services (not just theme edits)., • Collaborate closely with product and design in a lean, high-impact team., • Embrace automation and AI tooling to accelerate delivery and maintain quality. Tech Stack • Languages: TypeScript (core), Python/Ruby (data flows), • Frontend: React (preferred), Node.js welcome, • Infrastructure: AWS, • Databases: RDBMS (essential), Neo4j (nice-to-have), • Integrations: Shopify APIs, payment gateways, fraud tools You’ll Thrive Here If You... • Have strong backend engineering fundamentals (schema design, query optimisation, scalable architectures)., • Have hands-on experience scaling systems in startups or scale-ups., • Enjoy owning architecture end-to-end in small, fast-moving teams., • Are excited by working close to the product and shipping meaningful features quickly., • Bonus: experience with eCommerce APIs, Shopify, payment gateways, or growth tooling. Why This Role • Real architectural ownership in a lean engineering team., • Build systems that reach millions of users., • Fast decision-making, direct impact, and modern engineering culture., • c£80,000 + share options, hybrid London, 1 day/week in office., • Series A stage — ideal for engineers who want to shape tech foundations pre-scale. Interview Process • 30-min culture & tech fit conversation, • 60–90 min technical scenario interview (no whiteboarding), • Offer Ideal for senior full stack or backend engineers with TypeScript/React/AWS experience who want to shape architecture at a growing, product-led company.

Staff Backend Engineer Location - London hybrid (once per week onsite, minimum twice monthly) Salary - 130k-160k+ bonus/benefits + equity Our unicorn client is a fast-growing technology company in the mobility and insurance space. They're looking for a Staff Backend Engineer to take on one of their most senior individual contributor positions, providing hands-on technical leadership while helping define the engineering culture. This is a rare chance to have genuine impact on the technical direction of business-critical, data driven systems with AI at the centre. You’ll work across multiple teams, shaping architecture, setting high standards, mentoring engineers, and collaborating with stakeholders to deliver real user and business value. The Opportunity • Drive technical strategy and system architecture across multiple teams., • Tackle complex engineering challenges end-to-end, delivering the most critical components yourself., • Champion engineering best practices—from design and implementation to testing, observability, and scaling., • Collaborate with product, data, and business teams to align priorities and ensure technical solutions meet real business goals., • Mentor and coach engineers and technical leads, helping them grow both technically and as leaders., • Act as a technical multiplier—bring clarity to ambiguous problems, unblock teams, and ensure sound decision-making through clear, informed communication., • Contribute to company-wide technical standards and improve processes and tooling for the broader engineering organisation. What We’re Looking For • Proven experience designing and delivering scalable distributed systems, ideally with Python or a mix of statically and dynamically typed languages., • Strong track record of writing production-quality code with a focus on maintainability, reliability, and performance., • Experience leading technical direction across multiple teams or projects—aligning engineers without relying on formal authority., • Ability to partner with senior stakeholders, balancing technical priorities with business needs., • Hands-on, pragmatic mindset—comfortable diving into code and systems to understand trade-offs and guide delivery., • Curiosity and a growth mindset—keen to expand into areas like machine learning systems or mobile integration if not already experienced. Why Join? • Our client offers a genuinely collaborative, inclusive environment with the freedom to take ownership and deliver impactful work., • Be part of a company where people support each other and celebrate collective wins., • Help define technical leadership standards and mentor the next generation of engineers., • Flexible hybrid working model: at least one day per week in their central London office, with balance for focused home-working., • Competitive salary, private medical insurance, company equity options, generous holiday allowance, and a broad package of wellbeing benefits., • Commitment to diversity and inclusion—they welcome applications from all backgrounds. If you're a senior backend engineer or staff-level individual contributor who wants to combine hands-on coding with strategic technical influence, and you're looking for a role where you can shape both systems and culture, we'd love to hear from you.

Full Stack Engineer (Front-end Focused) – Hedge Fund (L/S Equity) Location: London Type: Full-time (4-5 days per week on-site in Victoria) A newly launched fundamentally driven long/short equity hedge fund, focused on the European Industrials sector, is seeking a talented Full Stack Engineer (front-end focused) to join its growing London-based team. The firm, currently composed of senior professionals from top-tier hedge funds including Citadel, DE Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll play a key role in shaping the fund’s research and tooling platform from inception. Responsibilities: • Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems., • Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces., • Integrate frontend components with Python-based backend services and APIs., • Implement robust testing frameworks (unit, integration, end-to-end) to ensure performance and reliability., • Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques., • Stay current with advances in web and data visualisation technologies to propose and implement innovative solutions. Qualifications: • 1–7 years of professional software engineering experience., • Strong academic background from a leading university., • Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools., • Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask)., • Excellent communication and problem-solving skills, particularly in cross-functional contexts., • No sponsorship available – candidates must have the right to work in the UK.

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

We are recruiting for a Graph Engineer to work on a hybrid working pattern between home and central London. Initial 3 – 6-month supporting a consultancy as a Graph Engineer. • Skills: Graph, Neo4j and Hume, • Daily rate of £550 - £600 a day, • Inside of IR35, • Hybrid working two days a week in London Candidates applying must have the ability to transform and enrich data sources to fit a graph schema. Experience with labelled property graphs and Cypher is preferred. Relevant tooling: Hume, Neo4j To register your interest - please submit your CV for consideration.

Founding Engineer – Early-Stage, YC-Backed Startup (London / Hybrid) • Salary: £100k–140k, • Equity: 1–3% (founding-level), • Hybrid working: Central London, 3 days p/week in office., • Tech Stack: Python, TypeScript, React, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics. This is a seed-stage, well-funded company with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For • Strong engineering background (ideally 5+ years)., • Proven experience shipping production LLM systems., • Hands-on experience with agentic/multi-step reasoning AI., • Familiar with modern AI tooling ., • Product-first mindset and excited about early-stage startup ownership. Founding Engineer – Early-Stage, YC-Backed Startup (London / Hybrid)

Founding AI Engineer – Early-Stage, YC-Backed Startup (London / Hybrid) • Salary: £100k–140k, • Equity: 1–3% (founding-level), • Hybrid working: Central London, 3 days p/week in office., • Tech Stack: Python, TypeScript, React, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics. This is a seed-stage, well-funded company with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For • Strong engineering background (ideally 5+ years)., • Proven experience shipping production LLM systems., • Hands-on experience with agentic/multi-step reasoning AI., • Familiar with modern AI tooling ., • Product-first mindset and excited about early-stage startup ownership. Founding AI Engineer – Early-Stage, YC-Backed Startup (London / Hybrid)

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences, operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives such as customer engagement, automated insights, and decision-support tooling. You’ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. What You’ll Be Doing Machine Learning Engineering • Build, deploy, and maintain ML models as services, streaming applications, or batch jobs across real-time and offline platforms., • Develop scalable model APIs with strong CI/CD and observability practices., • Implement model testing, monitoring, and rollback capabilities in production environments., • Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications., • Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform., • Support and develop monitoring dashboards for key ML and AI services., • Ensure cloud-native, secure, and cost-efficient deployments in AWS environments., • Adhere to governance, risk, and compliance obligations relevant to the role., • Identify and escalate non-compliance issues when necessary., • Proactively challenge processes that may impact compliance standards., • Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring • 3–5 years of experience in machine learning engineering and data science., • Advanced degree (PhD or Master’s) in a numerate discipline., • Excellent programming skills in Java and Python for production systems., • Strong foundations in machine learning and data science., • Experience deploying ML models as APIs, batch jobs, or streaming services (e.g., Kafka Streams)., • Proficiency in containerised application deployment with Kubernetes., • Demonstrated experience building ML solutions from concept to delivery., • Strong cloud engineering skills (AWS preferred; Terraform or CloudFormation a plus)., • Excellent communication and collaboration skills., • Up-to-date knowledge of modern ML and AI developments. Why Join This is a chance to work on impactful machine learning use cases that shape the future of customer experiences and business operations. You’ll be part of a collaborative environment where innovation is encouraged, and you’ll have the autonomy to influence tooling, frameworks, and production ML strategy. Please note: Sponsorship is not offered for this position. Candidates must have the existing right to work in the relevant location.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilisation. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We are seeking a Teleoperation Control Engineer to lead the development of intuitive teleoperation pipelines that unlock new robotic capabilities and fuel learning through high-quality human demonstrations. This role focuses on building the bridge between human operators and complex humanoid robots. You'll work at the intersection of hardware devices, operator interfaces, software integration, and learning workflows, enabling human supervisors to teach, guide, and correct robotic behaviors in real time. You’ll be instrumental in creating a teleop-powered flywheel: fast, intuitive teleoperation that produces rich data, which accelerates model training, which in turn reduces reliance on teleop — compounding progress over time. A deep understanding of robot control principles and hands-on experience with real robotic hardware are essential for success in this role. What You’ll Do: • Design and implement intuitive, low-latency teleoperation interfaces for controlling humanoid robots in manipulation and mobility tasks., • Develop a robust teleop architecture that can scale across platforms and applications—from manipulation to loco-manipulation and beyond., • Integrate a broad range of input devices (e.g., puppet arms, VR controllers, gloves, haptic devices, motion capture systems) into the robot software stack., • Translate noisy, high-frequency human input into smooth targets for the robot, • Build tooling to streamline operator training and demonstration workflows, including in sim and hardware environments., • Develop semi-autonomous features, blending human input with autonomous control for enhanced precision and ease of use., • Ensure sensor data fusion and create effective visualization tools for intuitive remote control., • Conduct stress tests to ensure system reliability under extended operational conditions., • Work directly with real robotic hardware, ensuring software is robust and well-integrated with physical systems., • Collaborate with perception and hardware teams to bring teleoperation requirements into the HW design. We’re Looking For: • MS or PhD in Robotics, Computer Engineering, Human-Computer Interaction, or a related field., • 5+ years of experience in robotics, with a strong focus on teleoperation systems and human-robot interfaces., • Expertise in integrating teleop devices and building operator interfaces that prioritize usability, precision, and operator flow., • Proficient in C++ and Python, with experience in ROS/ROS2, real-time data streaming, and robotic middleware., • Strong understanding of robot kinematics, coordinate systems, and interfacing with low-level control systems., • Experience working directly with real robotic hardware (with humanoid robots, dexterous manipulation, or mobile manipulation) in laboratory or production environments., • Experience developing modular and scalable software architectures for robotic systems., • Strong debugging and system performance optimization skills. Nice-to-have: • Experience with data collection for imitation learning, behavior cloning, or other robot learning paradigms., • Exposure to intent inference, shared autonomy, or assistive control., • Experience working with simulation environments (Isaac Gym, Mujoco, Unity) for teleop + data collection., • Passion for building elegant tools that improve the human-robot experience. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation and travel opportunities to our London, Vancouver, and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Reward Gateway|Edenred is a global market leader in benefits and employee engagement. We help our clients and their leaders transform employee experience that will attract, engage, and retain top talent through employee benefits, strategic reward and recognition, well-being, and much more. Our mobile development team is expanding, and we have an exciting opportunity for a Lead Engineer. We are looking for someone who is passionate about creating high-quality mobile experiences and is comfortable balancing hands-on technical delivery and leadership with mentoring a small team. In this role, you will be responsible for designing solutions, participating in design reviews, recommending improvements, and fostering consensus through clear communication and your strong technical skills to support your recommendations. Key Responsibilities • Design, develop, and maintain high-quality mobile applications using React Native, • Collaborate with cross-functional teams, including Product, Design, and Backend Engineering, to ensure seamless integration of new features and improvements in our mobile applications using Typescript and React Native, • Continuously improve the user experience of our mobile applications, • Work in a team environment with shared code, ensuring disciplined use of source code control and process documentation, • Identify, analyse, and resolve performance bottlenecks and inefficiencies in the mobile application codebase, • Write and maintain comprehensive unit tests and documentation for the project, • Mentor junior developers and actively participate in code reviews to maintain a high standard of code quality for mobile applications, • Stay informed on mobile development trends, tooling, and best practices Skills, Knowledge, and Expertise • 6+ years of development experience building mobile applications in React Native with a minimum of 2 years of experience in a technical lead role, • Experience developing large-scale business-critical SaaS applications, • In-depth knowledge of the React and React Native frameworks, • Excellent programming skills in JavaScript, preferably with TypeScript and GraphQL experience, • A good understanding of the Android and iOS platforms, • Experience with frontend testing frameworks, • Familiarity with modern front-end build pipelines and tooling, • Understanding of mobile UI/UX best practices and principles, • Problem-solving skills, attention to detail, and ability to work independently and as part of a team, • See opportunities for improvements in both the work they produce and also the processes that drive the successful delivery of projects Work mode and Salary: • We offer a flexible hybrid work mode with a requirement to be in the London office twice per week., • Salary budget for the role is £95,000 - £100,000 gross per year, excluding company benefits. Kindly note that we do not currently offer a performance bonus or equity shares. The Interview Process: • Online interview with the Senior Talent Partner, Engineering Lead, and Head of App Development. This should last no longer than 45 minutes., • Final video interview, 75 minutes in length, consisting of three stages. This includes: 45 minutes to discuss your experience, technical abilities, and team management skills; 15 minutes to review and discuss a coding exercise; and 15 minutes to discuss questions you may have. At Reward Gateway, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want all our employees to feel comfortable expressing their passion, creativity, and individuality at work. We value diverse cultures, backgrounds, and experiences, as we believe that diversity drives innovation. Join our community, express yourself, and help us make the world a better place to work.

Platform Engineer London / WFH to £100k Opportunity to progress your career at a hugely profitable High Frequency Trading firm that specialise in crypto markets, in a hands-on Platform Engineer role. As a Platform Engineer you will join a small team responsible for the 24x7x365 globally distributed ethical web scraping function, supporting a multi-region high frequency operation. You'll proactively identify, analyse, drive and own performance and process improvements, collaborating closely with the development team on architecture and prioritisation and with the infrastructure team on common infrastructure improvements across the estate. Location / WFH: You'll join the team in Central London with flexibility to work from home twice a week (please note there is an on-call requirement). About you: • You have commercial experience as a Platform Engineer, DevOps Engineer or SRE within an HFT, low latency or web scraping environment, • You have strong bash or Python scripting skills, • You have multi-cloud experience (AWS and / or Azure preferred), • You have a strong knowledge of Linux, • You have experience with forward proxy tools e.g. Squid, • You have experience of managing third party vendors, • You're collaborative and pragmatic with great communication skills, • You hold a technical degree, • Ideally you will also have some experience with one of the following: Containerization (Docker / Kubernetes), monitoring tools (Prometheus / Grafana / ELK stack / Splunk), IaC tooling (Terraform, Ansible etc.) What's in it for you: As a Platform Engineer you will receive a competitive package: • Salary to £100k, • Bonus (c50% of base), • Pension, • Hybrid working, • Career progression Apply now to find out more about this Platform Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

About the Company Every hour, millions of sports fans lose hard-earned cash on suboptimal bets — and this company is changing that. Ranked among the top three social media identities in the U.S. gambling space, they are arming fans with market-beating insights, tips, and data, all powered by cutting-edge, in-house algorithms. Their flagship digital B2C subscription product launched in October 2024 and has since been experiencing very rapid growth — currently doubling revenues every 1–2 months while maintaining healthy 40%+ profit margins. It combines top-rated human expertise with market-leading AI algorithms, delivering world-class analytics and insights straight to the fingertips of thousands of subscription customers. Leveraging industry-leading social channels with millions of engaged followers, they’re scaling the consumer product through their massive social reach. With a lean but highly capable team of engineers, designers, and product leaders from top-tier companies such as Meta and Alibaba, the company is now entering an exciting scale-up phase. This is a unique opportunity to join and directly shape a pioneering consumer product. Role Overview We are looking for an outstanding Senior Software Engineer to join our fast-moving journey. You’ll be a key contributor across the stack in our Rust-based environment, building intuitive experiences and scalable systems while influencing product direction. We value recent impact above all else: what you’ve shipped, how you’ve solved problems, and the ownership you’ve shown in your most recent role. You’ll partner with product and data teams to deliver features that delight users, drive retention, and boost business value. This role also offers the chance to mentor others, shape engineering culture, and play a critical role in our growth story. Key Responsibilities • Drive the development and scaling of GameScript to deliver best-in-class insights to sports fans, • Design, build, and maintain production systems (frontend and backend) using Rust, • Partner with product and design teams to turn ideas into fully functional features, • Contribute to strategic decisions on product direction (e.g., integrations, AI-powered algorithms, tooling for fans), • Rapidly test and iterate based on customer feedback and analytics, • Improve system scalability, reliability, and performance, • Lead code reviews, mentor engineers, and support hiring as we grow, • Take ownership from concept to delivery, including infrastructure (deployments, observability, CI/CD) Must-Have Qualifications • 5+ years in software engineering (flexible if skills and impact are strong), • Strong foundations in typed languages (e.g., C++, Scala, Rust, Java, C#, Swift), • Strong understanding of core programming concepts, including variable assignments and memory allocation (stack vs. heap), • Proven track record of recent impact: delivering features, improving systems, solving real-world challenges, • Comfort adapting to new languages and stacks quickly, • Experience in smaller/startup environments (ownership mindset, thrives in ambiguity), • Strong communication and collaboration skills; disciplined in reviews and documentation, • Degree in Computer Science, Engineering, or related field (top-tier university preferred) Desirable Experience • Hands-on experience with Rust (or willingness to learn — our current team picked it up on the job), • Cloud infrastructure: Kubernetes, GCP, Cloudflare, Terraform, • Databases: SQL-like, especially SurrealDB, • Leadership qualities: mentoring, project ownership, stakeholder management, • Exposure to sports betting, gambling, or adjacent domains (not required) What Success Looks Like (6–12 Months) • You’ve shipped high-impact features end-to-end, driving real user engagement, • You’ve taken ownership of key systems and improved performance/reliability, • You’re mentoring others and helping to build a strong engineering-first culture, • You’ve influenced architectural decisions and contributed to our tech evolution, • You’re fully fluent in our Rust-based stack and pushing its boundaries What We Offer • Join early and directly shape a consumer product at scale, • Work across the stack, from backend systems to frontend UX to internal tooling, • Operate at the intersection of algorithmic insights, AI, and social media, • Collaborate closely with a talented, supportive, and ambitious team, • Competitive salary with a performance-based bonus designed to reward your impact, • Private health insurance, fitness incentives, and free daily lunch (often dinner as well), • A fast-paced, intellectually challenging environment where ideas matter and careers grow, • The rare opportunity to be part of the founding team of a first-of-its-kind consumer product in sports betting

🚀 Staff Software Engineer | Lead Engineer | Principal Engineer | £120K | Hybrid - London Staff Software Engineer – .NET | London (Hybrid) We’re working with a high-growth, tech-driven company undergoing a major platform modernization and are looking for a Staff Software Engineer to join their mission-critical engineering team. This is a hands-on technical leadership role with high visibility and impact across the organization. You’ll work on large-scale systems, contributing to the design and development of modern, scalable, cloud-native .NET applications. You'll collaborate closely with platform teams, influence tech strategy, mentor engineers, and help evolve systems that serve both public-facing and internal users. Key Responsibilities • Enhance and modernize large .NET systems for performance, reliability, and scalability, • Lead architecture and development of backend services using C#, ASP.NET, .NET Core, • Automate infrastructure, CI/CD pipelines, and cloud operations (AWS/Azure), • Promote engineering best practices, security, and observability, • Mentor engineers and foster a culture of continuous improvement, • Contribute to technology direction, including adoption of tools like Go and Python What We’re Looking For • Deep expertise in C#, .NET Core, ASP.NET, • Cloud experience with AWS (Lambda, DynamoDB) or Azure + DevOps, • Proficiency with IaC tools like Terraform, • Strong grasp of modern dev methodologies and design patterns, • Exposure to containerization and CI/CD tooling, • Bonus: Familiarity with Go, Python, React, TypeScript, Node.js 🗺️ Location: Hybrid – 2 days a week in London This is a high-impact role in a growing company where your technical voice will be heard - and acted on. Ready to build, lead, and transform? Let’s connect!🚀

Create the future of travel with us ✈️ Whether it’s to visit the people closest to us, starting an exciting adventure, or a career-defining business trip, travel is an essential part of our lives. Yet we've all experienced the aches and pains of getting to our destination. Today, more than 4 billion airline passengers rely on technology that hasn't kept up with the expectations of the modern connected traveller. That’s why we’ve started to rebuild the infrastructure that underpins the travel industry. We’re on a mission to unravel travel — simplifying systems and building the tools that will make the future of travel effortless. We were part of Y Combinator S18's cohort and we are backed by Benchmark, Blossom, Index Ventures and Kima Ventures. A fantastic set of investors that has helped build some of the world's largest companies. Our team in London is growing and we’re looking for talented people to join us on our journey 🚀 🤖 Engineering at Duffel We're building tools to simplify travel distribution, search and booking. What does this actually mean? It's one common and seamless API. This brings huge technical challenges as we need to design and build a beautiful API before integrating to hundreds of airlines. Along with that we need to navigate through the differing needs and systems of each airline whilst building a fantastic developer experience to go with it. The tools used on the team include Elixir, Phoenix, Kubernetes and Google Cloud Platform. ⚙️ Site Reliability Engineering at Duffel As an SRE at Duffel, you’ll be part of a small team within engineering that is responsible for the reliability, performance, and resilience of our infrastructure and applications. You will be working closely with engineering teams to understand their needs and help meet the demands of our product as we scale globally. What we're looking for 👀 • An infrastructure and systems engineering generalist who is comfortable diving deep into the weeds on different issues. Some recent examples include:, • A configuration issue between Google’s Load Balancer and the HTTP server in our main Elixir application causing HTTP 5XX responses to be returned to our customers., • Debugging an issue in our OpenTelemetry pipelines causing us to silently drop spans., • An enthusiasm for both software development and systems engineering., • A high bar for code and configuration quality and readability., • A good understanding of current observability and reliability practices., • Experienced and comfortable in running incident response., • Big picture thinking - you can make trade offs on technical work streams against business impact., • Fantastic communication skills. You're able to articulate what you're working on and why to the team in a clear and structured way., • You thrive in a collaborative environment. You believe in your own methods but keep an open mind, taking suggestions and feedback onboard as well. Technologies 💻 • We run our infrastructure on Google Cloud Platform, so you’ll be helping to run a few of their products such as GKE, CloudSQL for PostgreSQL, BigQuery, Memorystore (Redis) and more., • We manage the infrastructure and security for a segregated PCI Cardholder Data Environment, entirely managed with Google Cloud Platform services and tooling., • We follow an Infrastructure as Code approach to managing our infrastructure, using Terraform., • We follow a GitOps approach to managing our Kubernetes configuration, using ArgoCD and Helm., • We manage a high-availability metrics collection system using Grafana, Thanos & Prometheus. We’re in the process of transitioning to OpenTelemetry and Honeycomb for our application telemetry (traces and metrics)., • We manage a data pipeline using Pub/Sub, Airbyte, and dbt. Don’t worry if your experience doesn’t exactly align with this stack, we understand that skills are transferrable. This is to give you an idea of what you’ll be working with if you join the team. Our Current Focus 🎧 We’re currently driving a big shift in how we think about and monitor reliability across the engineering organisation, with a focus on early detection of customer-impacting issues. We’re extending and standardising our use of OpenTelemetry, and introducing Honeycomb as the single place for engineers to understand how our applications are operating in production. This project involves both technical work, on the application libraries and infrastructure that make up the OpenTelemetry pipeline, and an education piece, working to change perceptions and behaviours across engineering. The Future 🚀 • We currently run all our services from a single European region in Google Cloud. In the medium term, for performance, reliability, and data residency reasons, we’ll be starting to think about how to (re)architect our applications and infrastructure to span multiple regions, operating globally., • We deploy our application multiple times a day, but deploys are all or nothing, and when we encounter issues, roll backs are slow. One way to address this would be to invest in CI/CD performance improvements, but we’d also like to explore alternative deployment strategies like Canaries, Blue/Green, and traffic mirroring, and get more comfortable testing changes in production with real customer traffic. 🤗 What you can expect from us: We're dedicated to your personal growth. Our environment is comfortable both physically, but also in that our ears are always open to any ideas, concerns and questions. We believe that everyone should have pride in their work, taking full ownership of it and its impact. That's why everyone who joins Duffel owns a share of the company. We are an equal opportunities employer. We believe that the key to our success is employing a diverse team, that's why recruitment decisions are only based on your experience and skills. We value your ability to problem solve and build amazing things so we welcome applications for everyone – regardless of age, sex, disability, sexual orientation, race, religion or belief. Note to recruitment agencies Duffel does not accept speculative CV's from external parties. Any unsolicited CV's sent to us will be treated as property of Duffel, and any attached terms and conditions associated with these CV's will be null and void ❌

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production. Requirements • 5+ years working as a Data Engineer with 2+ years in Financial Markets, especially in a Hedge Fund, Trading Firm, and/or working with Quant Trading Technology., • Expertise in Python, including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy., • Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift)., • Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset….), • SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices., • Passionate about code quality, data integrity, and building scalable and robust systems., • Ability to communicate clearly with technical and non-technical colleagues. This hire has been budgeted at a salary of £130K, plus excellent benefits and company pension contributions, along with a healthy annual bonus and an opportunity to participate in their Management Incentive Scheme. Applicants must be able to work onsite in Central London 3 or more days per week. This is an incredible opportunity to join a world-class firm and to forge a long-term career in a genuinely supportive and learning-focused working environment. Please apply below or contact for more information.

Lead Software Engineer – FinTech We’re seeking an accomplished Lead Software Engineer to take a pivotal role within a dynamic FinTech engineering function. This position blends hands-on technical leadership with line management responsibilities — leading by example in both delivery and people development. You’ll oversee one or more engineering teams, guiding them through complex technical challenges while contributing directly to the design and architecture of scalable, cloud-native systems built on C#, .NET, and Azure microservices. Technical Leadership & Team Management • Lead, coach, and develop a team (or multiple teams) of talented engineers, fostering a culture of ownership, innovation, and continuous improvement., • Provide line management support — conducting performance reviews, setting objectives, and identifying development opportunities., • Mentor and empower senior engineers and engineering managers, ensuring consistent technical standards and strong delivery capability., • Remain hands-on with design, architecture, and code reviews to guide and elevate technical quality across teams. Engineering Delivery & Architecture • Drive the design and implementation of distributed, high-availability systems built with C#, .NET Core, and Azure., • Lead architectural discussions and define technical direction, ensuring solutions are scalable, secure, and maintainable., • Translate complex business requirements into actionable engineering plans and achievable milestones., • Embed strong engineering practices — CI/CD pipelines, automated testing, observability, and version control discipline. Technology Strategy & Innovation • Champion the adoption of modern technologies and architectural patterns, including Azure cloud-native services, messaging infrastructures (e.g. Service Bus, Kafka), and microservices., • Drive continuous improvement across tooling, processes, and system reliability., • Collaborate with senior technical stakeholders to shape the broader engineering roadmap. Cross-Functional Collaboration • Partner with Product, Architecture, and Delivery teams to align technical execution with business priorities., • Communicate complex technical concepts clearly to both technical and non-technical audiences., • Play a key role in planning, estimating, and delivering cross-functional engineering initiatives. Operational Excellence • Oversee the stability, performance, and reliability of core systems in production., • Participate in or oversee the on-call rotation, providing senior escalation support when needed., • Lead post-incident reviews and drive long-term improvements in system resilience and operational processes. What We’re Looking For • Proven experience in leading and line managing software engineers or engineering managers in a fast-paced environment., • Deep hands-on expertise in C#, .NET Core, and Azure technologies., • Strong background in microservices architecture, distributed systems, and messaging platforms., • Ability to balance strategic technical leadership with practical, hands-on engineering., • Demonstrated success in Agile software delivery and fostering high-performing engineering teams., • Experience in financial, transactional, or other complex, high-volume domains is advantageous.

Senior Security Engineer Salary: £120-140k + 20-40% Bonus Location: London (Hybrid working – 2-3 days in office per week) I’m currently working with one of the most innovative, tech-driven Investment Management firms who are looking to bring in a Senior Security Engineer to work directly alongside their newly appointed Head of Security Engineering and lead in the build-out of their cloud-native Infrastructure capability. Highly technical position where you will be responsible for not just assessing and threat modelling novel concepts and services to introduce across Security and the wider Tech functions; but leading in the actual design, configuration and implementation. Previous experience in Software Security / Cloud Security Engineering capacity with the ability to comfortably read, write and script in Python will be essential as an in-depth knowledge of deploying Infrastructure as Code, Containers, CI/CD concepts and policy as code will be a minimum requirement. This is genuinely an incredible opportunity to build something truly innovative, with the backing of one of the most respected leaders in Security, as well as an incredibly forward-thinking wider Tech division. You have the chance to put your stamp on one of the most ambitious Tech Transformations for one of the most renowned Investment Management firms in the UK. Responsibilities • Perform hands-on security threat modelling, risk assessment and vulnerability remediation., • Evaluate, architect, implement and support security focused tools and services., • Work closely with Development teams to ensure security and privacy are built in by design, automating tasks wherever possible., • Promote a security focused culture across the organization. Requirements • Significant experience working as a Cloud Security Engineer in DevSecOps environments with an in-depth knowledge of Infrastructure as Code (Terraform), Containers and CI/CD concepts., • Significant knowledge of AWS and implementing AWS Well Architected Security pillar., • Breadth of knowledge of cloud-based IAM/PAM and authentication concepts., • Strong proficiency in coding/scripting/development languages – Python, Terraform, Java ideally, • Experience building and fine-tuning security tooling to be deployed in cloud environments.

Business-Facing Wintel Engineer with around 7-10 years of experience sought by a major Global Hedge Fund. Based in Central London, with four days per week onsite, you will join a small, highly proactive and logical problem-solving team who providing first to third line support, automation and engineering for technically savvy business users and peer technology teams. We require someone who enjoys working with users in order to build trust and confidence, with high energy and enthusiasm who enjoys learning and keeping very busy with highly varied and deeply technical engineering work, in a flat non-bureaucratic environment with state-of-the art platforms. Requirements • Expert knowledge in management and deployment of Microsoft Office applications., • Extensive knowledge in supporting Windows Operating systems, networks and applications., • Significant experience managing Windows Server tooling i.e. Group Policy, Active Directory, File Sharing, DNS, DHCP, with experience in managing a virtualised environment., • Excellent IaC experience and depth (fully hands-on automation engineering) "allergic to repetitive manual tasks, writing good and useful scripts. PowerShell and/or Python. Puppet, Ansible, Terraform if possible too., • Excellent workload management, prioritisation, ownership. Experience planning and running their own projects., • Strong scripting skills in PowerShell, writing good and useful scripts. Solid experience in IaC tech i.e. puppet, terraform etc., • Logical problem solver (demonstrable i.e. what have you done?) with fantastic communication skills (concise/to the point/honest/humble etc)., • High energy, enthusiastic, proactive, curious, driven. Enjoy working through challenges and puzzles., • Experienced working in high performance, fast-paced, and demanding environments with a level of autonomy., • Finance / Trading experience is not a requirement, but applicants must have experience of directly supporting users. This is an outstanding opportunity for a talented, enthusiastic and deeply technical Wintel Engineer to take ownership of one of the most advanced Windows environments in London. Candidates must be able to work onsite in Central London four days per week, with standard working hours if 8am-6pm. In return, you will be able to build a long-term career in a highly innovative and modern business, with outstanding remuneration (base salary and annual bonus) and excellent benefits.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role As Cyber Security Lead, you will establish the security posture of Humanoid from the ground up — creating the frameworks, controls, and culture that protect our people, systems, data, and intellectual property. This is a hands-on role with significant strategic impact: you will personally deliver core policies and controls in the early stages while shaping the security roadmap that supports Humanoid’s global ambitions. Reporting directly to the IT Director, you will have independence to assess and report on risk at the highest level. You will partner closely with the IT Ops Lead (who implements day-to-day controls) and the ITSM Lead (who manages incidents and processes) to ensure security is embedded across the business. What You’ll Do • Policy & Frameworks: Define and maintain security policies, standards, and governance models aligned with ISO 27001, SOC2, and NIST., • Risk Management: Lead risk assessments, threat modelling, and vendor security reviews; maintain the company risk register., • Monitoring & Detection: Implement and oversee vulnerability management, SIEM, logging, and alerting capabilities., • Incident Response: Build and test incident response processes, including forensic readiness and regular tabletop exercises., • Compliance: Drive readiness for external certifications (ISO 27001, SOC2) and ensure ongoing regulatory compliance (GDPR, export control, etc.)., • Collaboration: Partner with IT Ops Lead to embed controls into infra, IAM, and developer platforms; work with ITSM Lead to ensure security incident handling and knowledge base integration., • Proven experience in cyber security leadership or senior security engineering roles., • Strong knowledge of security frameworks (ISO 27001, SOC2, NIST) and ability to apply them pragmatically in a start-up/scale-up., • Hands-on experience with vulnerability management, SIEM/logging tools, and incident response., • Demonstrated ability to lead risk assessments and implement effective mitigations., • Excellent stakeholder communication skills, including board-level reporting., • Comfortable operating in a dynamic, high-growth environment with a bias for practical, actionable security., • Desirable, • Experience securing product development environments (robotics, IoT, AI, or similar)., • Familiarity with cloud-native security tooling (AWS/GCP/Azure)., • Knowledge of secure software development practices and DevSecOps., • Competitive salary plus participation in our Stock Option Plan., • Work mode: office full time, Paddington district (London) – 5 min walk from Paddington station – 5 Merchant Sq, London W2 1AY, • Paid vacations., • Travel opportunities to our Vancouver and Boston offices., • Office perks: free lunches., • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritizing speed, transparency, and minimal bureaucracy.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You’ll Do: • Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement., • Build and maintain robust CI/CD pipelines for both software and ML workflows., • Ensure reliability, scalability, observability, and security of production systems and ML infrastructure., • Automate deployment, orchestration, and environment management using modern DevOps tooling., • Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production., • Proactively detect, troubleshoot, and resolve infrastructure and model performance issues., • Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering., • Document infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: • Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role., • Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch., • Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes)., • Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm)., • Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing., • Ability to design scalable, secure, and observable systems in fast-moving environments., • Strong debugging and problem-solving skills across distributed systems., • Excellent collaboration and communication skills, with experience working in cross-functional teams., • Understanding of security and compliance best practices for both software and ML systems. What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Design smarter solutions for the frontline workforce. Connect by Cocentric is scaling rapidly – helping organisations give their frontline teams secure, seamless access to the tools they need. As we grow, quality is critical. We’re looking for a QA Engineer to join the team and make sure every feature we ship meets the highest standards for reliability, security, and user experience. This is a hands-on role where you’ll work closely with engineers, product managers, and solutions architects to test, break, and improve the platform. You’ll help us catch issues early, build trust with our clients, and shape a quality-first mindset across the team. WHAT YOU WILL DO • Own and manage the testing process for new features and releases across the Connect platform, • Write, maintain, and execute test cases – both manual and automated, • Work closely with engineers to validate functionality, performance, and edge cases, • Support regression testing, smoke testing, and user acceptance testing (UAT), • Identify, document, and track bugs – helping prioritise fixes and improvements, • Collaborate with product and delivery teams to understand real-world use cases and risks, • Contribute to the continuous improvement of QA processes, test coverage, and tooling, • Advocate for quality across the entire development lifecycle WHAT YOU’LL BRING • Experience in QA or software testing for web-based platforms or SaaS products, • Strong understanding of manual and automated testing techniques, • Familiarity with test management tools and frameworks (e.g.Azure DevOps), • Ability to write clear and concise bug reports, test cases, and documentation, • Strong communication skills and a collaborative approach to problem-solving, • Detail-oriented mindset with a passion for getting things right, • Bonus: experience testing identity systems, integrations, or enterprise SaaS platforms WHY JOIN COCENTRIC? • Be part of a fast-growing, purpose-led platform solving real problems for frontline teams, • Help shape how quality is embedded into everything we build and release, • Work in a collaborative, high-trust environment with experienced engineers and product leads, • Hybrid working model with a base in our London office and flexibility to work from home, • 29 days annual leave, including a day off for your birthday, plus bank holidays. o Our office closes over Christmas • Generous private medical care and additional perks with Vitality, • Cocentric recognise that your family is important and being able to spend quality time with your family as it grows is a wonderful experience. This is why we offer enhanced Maternity, Paternity, Adoption and Parental leave.

Manufacturing Process Engineer (NPI Projects) London (Greenwich) | Up to circa £42 to 47.50 per hour (Umbrella) | Long-Term Contract About the Role We’re looking for a Manufacturing Process Engineer to help shape the future of assembly processes. In this role, you’ll design and implement lean improvements that make production safer, more efficient, and more sustainable. You’ll work closely with R&D, support projects from concept through to delivery, and ensure processes meet the highest standards of quality and compliance. What’s in it for you? • Competitive pay and a secure long-term contract, • A collaborative and supportive team culture, • The chance to make a real impact on products that support critical global infrastructure, • Work with cutting-edge technologies that are making a difference worldwide What you’ll be doing • Design & Improve: Create lean process improvements for tools, equipment, and assembly methods, • Deliver Change: Manage projects from concept to handover, keeping efficiency and timelines on track, • Validate & Test: Ensure new tooling and processes are reliable and compliant before production, • Keep it Safe: Lead PUWER assessments, risk analysis, and safety compliance, • Collaborate: Partner with R&D, training schools, and wider teams to support innovation and development, • Measure & Monitor: Define KPIs, track progress, and ensure budgets and quality targets are met What we’re looking for • A degree in Mechanical, Industrial, Production, or related Engineering field, • Hands-on experience in manufacturing or technical environments, • Knowledge of ISO9001/TL9000, Lean, Six Sigma, and regulated industries, • A methodical problem-solver with excellent organisational skills, • Willingness to learn systems such as SAP and sDMS How to apply If this sounds like the right role for you, we’d love to hear from you. Please apply via LinkedIn.

Senior Platform Engineer (Contract) | Outside IR35 | Up to £720 p/ day | Azure, Azure DevOps, Kubernetes, Terraform | London Hybrid Contract: 6 Months (Outside IR35) Rate: Up to £720 per day Location: Hybrid (2–3 days per week onsite) IR35: Outside Overview We’re supporting a confidential InsurTech client who are scaling their Platform function as they go through a large re-platforming project. The environment is modern, cloud-focused, and engineering-led. They’re now looking for a Senior Platform Engineer to join the team and play a key part in building and maintaining core infrastructure, improving automation, and ensuring platform reliability. Tech Stack • Azure, • Kubernetes, • Terraform, • Azure DevOps, • CI/CD, automation & observability tooling What They’re Looking For • Strong background in Azure and Kubernetes, • Experience building and managing infrastructure as code (Terraform), • Solid understanding of CI/CD pipelines and Azure DevOps, • Background in large-scale, regulated or enterprise environments (bonus), • Collaborative engineer who enjoys solving problems and improving processes Senior Platform Engineer (Contract) | Outside IR35 | Up to £720 p/ day | Azure, Azure DevOps, Kubernetes, Terraform | London Hybrid