Azure cloud engineer jobs in United Kingdom

Senior Developer (Node/React) Are you a pragmatic, innovative, and self-motivated problem solver with a passion for building scalable, high-performing software? We're looking for a Senior Full Stack Engineer, with strong skills in Node and React, to join a high-performing product team working on a global, high-traffic eCommerce platform handling thousands of transactions daily. You'll play a key role in designing and developing end-to-end solutions, collaborating closely with both technical and business teams to deliver new features that drive growth and enhance the customer experience. What You'll Do • Build and maintain robust, scalable applications across the full stack (Node/React/TypeScript), • Collaborate in an agile team environment to deliver clean, maintainable, and testable code, • Influence architectural decisions and technology choices, • Optimise Front End and Back End performance to ensure fast, seamless user experiences, • Proven experience as a Full Stack Engineer or similar role, • Expertise in React, JavaScript/TypeScript, HTML, CSS, and responsive design principles, • Strong understanding of Back End technologies and best practices, • Passion for writing clean, well-tested code, • Experience with cloud platforms (AWS, Azure, or GCP), • Excellent communication skills and the ability to explain technical ideas clearly, • A mindset focused on scalability, maintainability, and continuous learning, • Degree in Computer Science or a related field, • Experience in eCommerce sectors, • Work on a product with global reach and real-world impact, • Have a voice in how things are built - your ideas matter, • Collaborative, forward-thinking engineering culture Salary: £80k/per annum

Senior Platform Engineer – Hedge Fund £150,000 - £225,000 base + competitive hedge fund bonus Orbis has partnered with a high-performing multi-asset hedge fund to build out its platform engineering team. This is a rare opportunity to lead greenfield infrastructure projects in a sophisticated trading environment; no prior finance experience is required. The role: You'll architect and deliver critical infrastructure projects spanning the firm's on-premise data centres and cloud environments. Key focus areas include: • Leading the migration from Nomad to Kubernetes across a hybrid infrastructure environment, • Designing highly available systems that support real-time trading operations, • Expanding the firm's cloud footprint (AWS/Azure/GCP) while maintaining on-prem capabilities, • Owning projects end-to-end from design through production What you'll need: • Production experience with Kubernetes (EKS/AKS/GKE or bare-metal), • Strong Linux systems background; Windows experience is beneficial, • Track record delivering cloud migrations and managing hybrid environments, • Experience supporting mission-critical, highly available systems What makes this different • Greenfield projects: Build from scratch rather than maintaining legacy systems, • Technical diversity: Work across data centres, cloud platforms, and container orchestration, • Finance exposure: An opportunity to break into hedge funds without needing prior domain knowledge, • Competitive compensation: Strong base salary plus hedge fund bonus structure, • Balanced hybrid working: 3-4 days per week in St James offices Interested? Apply through Orbis to learn more about the firm and the interview process.

Senior Platform Engineer /Python Developer (Client Deployments) (Often referred to as Forward Deployed Engineer, Customer Platform Engineer) Location: Central London / Hybrid (3+ days in office preferred) Type: Permanent, full-time Industry: Data / AI / Financial Services Tech: Python, Cloud (AWS, Azure, GCP), CI/CD Working model: Small, founder-led engineering team Salary: £90,000 - £120,000 DOE and open for discussion with the right candidate + Equity The Opportunity We are working with a highly technical, early-stage data and AI company that supports some of the most sophisticated institutions in the world. The business has clear product-market fit, a strong roster of tier-one clients, and more demand than its current team can deliver. This hire is being made to increase delivery capacity, not to backfill. This is a senior engineering role for someone who wants to work close to real-world problems: deploying complex systems into highly regulated, security-constrained environments and helping shape how a platform scales as the company grows. What You’ll Be Doing This role sits at the intersection of platform engineering and client deployment. You will: • Deploy a Python-based platform into client-controlled, often on-prem environments, • Work with strict data, security, and infrastructure constraints, • Own end-to-end technical delivery for multiple client implementations, • Manage and curate AI / data pipelines using client-specific data, • Interface directly with client engineering and technical stakeholders, • Contribute to core platform development alongside deployment work, • Help define boundaries between reusable product code and client-specific implementations The Kind of Engineer We’re Looking For This role suits someone who enjoys ambiguity, autonomy, and responsibility. We’re looking for: • Strong Python experience in production environments, • Experience taking systems to production (CI/CD, cloud, infrastructure), • Comfort working across cloud platforms (depth in one is fine), • Experience with complex or regulated environments (fintech, healthcare, infrastructure, etc. helpful but not required), • Confidence working directly with clients and technical stakeholders What Makes This Role Different • Real impact: one hire materially changes delivery capacity and client outcomes, • Technical depth: real constraints, real systems, real complexity, • Autonomy: high trust, minimal bureaucracy, strong founder access, • Ownership: your decisions shape the platform and delivery model, • Visibility: your contribution is seen and rewarded quickly, • Equity: meaningful participation in the upside of the business, • Stability without VC pressure: founder-led, funded, no growth-at-all-costs culture Practical Details • Hybrid working, Central London office, ideally 3+ days a week in office, • Must be willing and able to pass standard background checks required by enterprise clients, • Occasional on-site client work as part of deployments, • No visa sponsorship available Next Steps This is a rare opportunity to join a small, high-quality engineering team at a moment where delivery, not vision, is the constraint. If of interest, please apply with an up-to-date CV. This is an urgent requirement so role interviewing now.

Company Description Goaco is a global consultancy established in 2010 and headquartered in the UK, specialising in delivering secure, innovative, and user-focused digital solutions. With expertise in digital transformation, cybersecurity, data & AI, software development, and cloud services, Goaco serves clients in both public and private sectors across the UK, UAE, and Saudi Arabia. The company is powered by over 100 in-house professionals and a vast network of 16,000+ associate consultants under the Goaco Group. As trusted UK Government digital experts, Goaco is dedicated to providing scalable and secure solutions that address real-world challenges, driving impactful and sustainable transformation. This role is ideal for an experienced .NET Software Developer who wants to progress into AI Engineering, with full training, mentoring, and certification support provided. ROLE OBJECTIVE The AI Engineer (Training & Certification Provided) will design, build, and integrate AI-enabled capabilities into enterprise-grade software solutions. While prior AI engineering experience is not required, you must have strong .NET development skills and a genuine interest in AI. Goaco will provide structured training and support towards Microsoft Azure AI certifications, including Azure AI Engineer Certified, enabling you to grow into the role while delivering real solutions. KEY RESPONSIBILITIES 1. Software Engineering (.NET Focus) • Design and develop high-quality services using C# and .NET (.NET 6+)., • Build secure, scalable APIs and backend components., • Apply clean code, testing, and modern engineering practices., • Contribute to cloud-native application architectures. 2. AI Engineering (Training Provided) • Learn and apply AI technologies using Microsoft Azure AI services and Azure OpenAI., • Integrate AI capabilities into .NET applications., • Build AI-assisted features such as:, • Intelligent search and knowledge retrieval, • Workflow automation, • Natural language interaction, • Implement prompt handling, embeddings, and AI service orchestration. 3. Data & Integration • Work with structured and semi-structured data sources., • Support data preparation and integration for AI workflows., • Collaborate with data specialists to understand data quality and constraints. 4. Responsible & Secure AI Delivery Deliver AI-enabled solutions aligned with: • Responsible AI principles, • Security and privacy requirements, • Governance and audit expectations, • Support monitoring, evaluation, and continuous improvement of AI features. 5. Collaboration & Professional Development • Work closely with engineers, architects, analysts, and delivery leads., • Participate in technical workshops, code reviews, and design sessions., • Complete supported training and achieve Microsoft AI certifications. KEY DELIVERABLES • Production-ready .NET services enhanced with AI capabilities, • Well-documented APIs and integration components, • Secure and compliant AI-enabled features, • Contributions to reusable engineering patterns and standards SKILLS & EXPERIENCE Essential • Strong commercial experience with C# and .NET (mandatory), • Experience building backend services and APIs, • Solid understanding of software engineering best practices, • Interest in AI and applied machine learning, • Willingness to undertake training and certification Highly Desirable • Microsoft Azure AI Engineer Certification (or willingness to achieve), • Experience using Microsoft Azure, • Familiarity with DevOps and CI/CD pipelines, • Exposure to data-driven or intelligent systems WORKING STYLE • Developer-led, analytical, and outcome-focused, • Curious and motivated to learn AI technologies, • Comfortable working in evolving problem spaces, • Clear communicator across technical and non-technical audiences

Our Mission Ferry is pioneering a new wave of Manufacturing Operations Platforms for the AI age. Our software powers some of the largest manufacturers globally, providing the tools, insights & capabilities for them to revolutionize what & how they produce. We are backed by leading VC funds across both the US and Europe, and partner with some of the largest companies on Earth. If you join us, your work will directly impact the physical world from day 1. The stakes are high for our customers, and in turn they are high for us, so we are held to a demanding standard that pushes us to the best we can be. About the Role We are looking for a highly skilled and adaptable Senior Backend Engineer to help build and expand the core services of the Ferry platform. You’ll be a critical member of the team in designing, developing and scaling the systems that power real-time manufacturing operations. Ferry is a flat startup, and you’ll work directly with the founders, designers and other engineers as we execute on our mission. Our platform is multi-disciplinary, and our tech stack reflects this. We utilize Go and Java on the backend (strong proficiency in one is expected; willingness to learn the other is essential). We also use Python, with Typescript / Next.js on the frontend. We heavily leverage Postgres, Timescale and Redis for storage, and run across AWS, Azure and Terraform for infrastructure. Real-time data pipelines and edge computing are key pillars of the Ferry platform, where we augment Apache Flink and Kafka. Your Day to Day • Build and scale the backend systems that power Ferry’s core platform, • Design and implement performant APIs, data pipelines and integrations, • Collaborate with frontend, platform and data engineers to deliver end-to-end features, • Lead projects from design through deployment, embedding engineering best practices along the way, • Work directly with customers, understand their pain points, and translate them into product improvements, • Rapidly fix bugs and partner with customers when needed, • Develop deep domain expertise in manufacturing systems, • Mentor & support junior engineers, and contribute to a strong engineering culture Who You Are • 7+ years as a Backend Engineer, • Strong proficiency in either Go or Java (and excited to learn new languages & frameworks), • Comprehensive knowledge and experience building, testing and deploying APIs & distributed systems, • Familiarity with microservice architectures and event-driven systems, • Strong knowledge of design patterns, data structures, algorithms and problem-solving, • Experience with cloud-based infrastructure (AWS; Kubernetes and Terraform a plus) and DevOps practices, • Thorough knowledge of Git and other contemporary development technologies, • Ability to write efficient, secure, well-documented and clean code, • Excited by uncertainty, rapid learning and solving hard problems Nice to Have • Experience with Python, • Experience with Kafka and/or Flink, • Familiarity with TimescaleDB or other time-series databases, • Experience with industrial protocols (i.e. MQTT, EtherNet/IP etc), • Experience with IoT or edge deployments

Mid‑Level Data Engineer (Contract) Start Date: ASAP Contract Duration: 6 Months Experience within the Financial Services Industry is a must. If you're a Data Engineer who enjoys building reliable, scalable data pipelines and wants your work to directly support front‑office decision‑making, this role offers exactly that. You'll join a data engineering function working closely with investment management and front‑office stakeholders, helping ensure critical financial data is delivered accurately, efficiently and at scale. This role sits at the intersection of technology, data, and the business, and is ideal for someone who enjoys ownership, delivery, and solving real‑world data challenges in a regulated environment. This is a hands‑on opportunity for a mid‑level engineer who can contribute from day one and take responsibility for production data workflows. What You'll Be Doing • Building and maintaining end‑to‑end data pipelines (ETL/ELT) to support analytics and downstream use cases, • Developing scalable data solutions using Python, with a focus on maintainability and performance, • Working with Apache Spark / PySpark to process and transform large datasets, • Supporting the ingestion, transformation and validation of complex financial data, • Improving the performance, reliability and resilience of existing data workflows, • Partnering with engineering, analytics and front‑office teams to understand requirements and deliver trusted data assets, • Taking ownership of data issues and seeing them through to resolution, • Contributing ideas that improve data quality, automation, and overall platform efficiency Skills That Will Help You Succeed Essential • Commercial experience as a Data Engineer at a mid‑level, • Strong Python development skills, • Hands‑on experience with Apache Spark / PySpark, • Solid experience building ETL/ELT pipelines, • Background within the financial services industry (investment management experience desirable), • Comfortable working with production systems in a regulated environment, • Exposure to Polars, • Experience optimising Spark workloads, • Cloud data platform experience across AWS, Azure or GCP What Makes This Role Appealing • You'll work on data that directly supports investment and front‑office functions, • You'll have ownership of production pipelines, not just isolated tasks, • You'll collaborate closely with both technical teams and business stakeholders, • Your work will have clear, visible impact on data quality, reliability and decision‑making Desired Skills and Experience Required Skills & Experience • Commercial experience as a Data Engineer (mid level), • Strong Python skills, • Hands on Apache Spark / PySpark experience, • Experience with ETL/ELT and data extraction, • Background in financial services, ideally investment management, • Exposure to Polars, • Experience optimising Spark workloads, • Cloud data platform experience (AWS, Azure or GCP)

Site Reliability Engineer (SRE) Location: UK-based (hybrid working; London / client site as required) Salary: £35,000 – £75,000 (dependent on experience) Clearance: SC clearance required (or eligibility) The Role We’re hiring Site Reliability Engineers to help build and operate secure, highly reliable platforms supporting central government, public sector and defence programmes. You’ll work closely with platform and delivery teams, designing resilient cloud infrastructure and embedding reliability, automation and security into everything you do. What We’re Looking For • Experience in SRE, DevOps or Cloud Engineering roles, • Strong cloud experience (AWS / Azure / GCP), • Hands-on with Kubernetes, Docker, CI/CD and Infrastructure as Code (Terraform / Helm), • Experience with observability, automation and incident management, • Security-minded approach to engineering in regulated environments Why Apply • Work on high-impact public sector and defence systems, • Flexible salary range reflecting seniority and leadership (£35–75k), • Hybrid working and startup autonomy, • Opportunity to shape platforms, tooling and engineering practices SC clearance eligibility is essential. Some roles may be subject to UK-eyes only restrictions.

Value Engineer – Data Engineering (AI/Palantir) - hybrid - London £80k-£100k We’re working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. This role sits at the heart of that capability. It’s not a traditional reporting or BI data engineering position. The focus is on building high-quality, reliable, meaning-aware data pipelines that make AI systems usable, trustworthy, and scalable in real client environments. What the role is really about You’ll be a senior data engineer responsible for designing and operating data pipelines that don’t just move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You’ll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you’ll be doing • Designing and owning end-to-end data pipelines using Python, SQL, and modern cloud platforms, • Structuring data around real-world concepts (entities, relationships, taxonomies), not just tables, • Building data foundations that support knowledge graphs, retrieval pipelines (RAG), embeddings, and agent workflows, • Implementing data quality, validation, lineage, and observability so pipelines are reliable and trusted, • Collaborating in a consulting-style delivery model, working directly with engineers and client stakeholders, • Creating reusable patterns, documentation, and standards that others can build on What we’re looking for • Strong senior-level data engineering experience (typically 5–8 years), • Excellent Python and SQL skills, with hands-on pipeline ownership, • Experience working with cloud data platforms (AWS, Azure, or GCP), • Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most), • Comfortable working in ambiguous, client-facing environments with high ownership

numi is proud to partner with a growing global technology consultancy seeking a 5x Senior Data Engineers to join their team in London on a hybrid basis. This consultancy empowers some of the world's biggest businesses by delivering advanced data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent opportunity to expand your personal and professional skills across various industries and technologies. As the Data Engineer, you will be the core builder responsible for designing, constructing, and maintaining robust and reliable data infrastructure. Your key focus will be on ensuring clean, scalable, and secure data flow. Day-to-day responsibilities include designing and building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role demands hands-on experience with cutting-edge data and cloud technologies. You will be utilising and playing with tools across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery. 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected. In return for your skills and dedication, you will receive a comprehensive package designed to support your development and celebrate your success. This includes serious learning support via paid certifications across all major technologies, weekly training, and a strong mentoring program with a dedicated Senior Support Lead. The company fosters a culture of transparent growth with annual 360° feedback reviews, regular team socials, and recognition programs to celebrate outstanding impact. Apply below - interviews are taking place ASAP.

Senior Machine Learning Engineer Up to 115k Xcede is working in partnership with Faculty, one of the UK’s most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You’ll lead the design and implementation of advanced machine learning platforms, taking models from research through to live deployment. Working across multiple client programmes, you’ll shape technical direction, influence architectural decisions, and act as a senior technical voice on mission-critical AI initiatives. You’ll operate at the intersection of engineering, data science, and business delivery — helping organisations turn machine learning into reliable, scalable, and commercially valuable systems. Requirements: • Extensive experience building, deploying, and operating machine learning platforms in production, • Strong background translating data science work into reliable, real-world systems, • Deep hands-on experience with modern ML frameworks and tooling, • Expert-level Python engineering and strong software design skills, • Proven experience building cloud-based platforms e.g. Azure, • Strong background in containerised environments using Docker and Kubernetes, • Excellent understanding of statistical modelling, machine learning theory, and data-driven decision making, • Experience leading technical projects and mentoring engineers

AWS Platform Engineer | AWS, Terraform & Kubernetes | High-Impact Cloud Consulting • Salary: £75,000–£100,000, depending on Senior or Principal level, • Location: Hybrid working – minimum 1 day per month in the London office, • Requirement: UK Security Clearance eligibility required, • Permanent, full-time position We’re hiring Senior and Principal AWS Platform Engineers to join a fast-growing cloud and platform engineering consultancy delivering complex, large-scale programmes for enterprise and public sector clients. This is a hands-on consulting role, not a support or BAU position. You’ll design and build modern AWS platforms, work directly with client engineering teams, and rotate across varied projects every few months. Alongside AWS, the wider business is scaling across Azure, data & AI, software engineering, and emerging cloud practices, so you’ll be joining during a genuine growth phase with real opportunity to influence standards and direction. The Role As an AWS Platform Engineer, you will play a key role in delivering cloud foundations that enable organisations to move faster and operate more securely. Depending on level: • Senior: you’ll focus on hands-on delivery, building and evolving AWS platforms and landing zones., • Design and build AWS platform foundations and landing zones., • Automate infrastructure using Infrastructure as Code., • Build and improve CI/CD pipelines for cloud-native delivery., • Work with Kubernetes-based platforms where appropriate., • Enable application teams to adopt DevOps and cloud-native best practices., • Lead and contribute to consulting engagements across discovery, design, build, and handover phases. Non-Negotiables • Strong AWS cloud engineering experience in production environments., • Terraform infrastructure as code (essential)., • Proven CI/CD and automation mindset., • Solid understanding of cloud networking, security, and scalable AWS design., • Comfortable working in client-facing consulting roles., • Eligibility for UK Security Clearance. What You’ll Work With • AWS platform engineering and landing zones., • Terraform infrastructure as code., • CI/CD pipelines (GitHub Actions or similar)., • Kubernetes platforms (EKS exposure preferred)., • Cloud-native security, networking, and identity patterns. Nice to Haves • Background in cloud or DevOps consultancies., • Kubernetes experience beyond the basics., • Experience rotating across multiple client environments., • Enjoyment of mentoring others and raising engineering standards., • Exposure to public sector or regulated environments. Why Join / Projects • Deliver high-impact AWS platforms for enterprise and public sector clients., • Join during a major growth phase with multiple platform, data, and software hires underway., • Projects typically run 3–12 months, keeping work varied and technically challenging., • High engineering standards paired with a collaborative, people-first culture., • Strong emphasis on learning through delivery, workshops, and shared problem-solving. Employee Benefits • Performance-related bonus., • Share options with long-term upside., • £1,000 annual learning and development budget., • Funded cloud certifications., • Hybrid working, with a minimum of one day per month in the London office., • Paid client travel. AWS Platform Engineer | AWS, Terraform & Kubernetes | High-Impact Cloud Consulting

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients, • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • Built modern full-stack applications (Python/Java/Go + React), • Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities • Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML), • Build infrastructure to monitor model performance, data drift, and other key metrics in production, • Develop and maintain tools for model versioning, reproducibility, and experiment tracking, • Optimize model serving infrastructure for latency, scalability, and cost, • Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring, • Collaborate with data scientists to ensure models are production-ready, • Implement security, compliance, and governance practices for ML systems, • Support troubleshooting and incident response for deployed ML systems Required Skills and Experience • Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch, • Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer, • Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI), • Experience with CI/CD pipelines and automation tools such as GitHub Actions, • Understanding of monitoring and logging tools (e.g., NewRelic, Grafana) Desirable Skills and Experience • Prior experience deploying ML models in production environments, • Knowledge of infrastructure-as-code tools like Terraform or CloudFormation, • Familiarity with model interpretability and responsible AI practices, • Experience with feature stores and model registries

Full Stack Engineer (Web & Data) Industry: Technology / Digital Products / Automation & Analytics Location: London, UK (Hybrid 1-2 days) Are you passionate about developing seamless, data-driven digital experiences? An established digital transformation and technology solutions provider is looking for a Full Stack Engineer (Web & Data) to join its growing Automation & Analytics team in London. This hybrid role blends web development with data engineering, offering exposure to everything from dynamic front‑end interfaces and API development to cloud‑based data pipelines and analytics platforms. If you love combining creativity in web development with the logic and scalability of data engineering, this is your opportunity to grow in a cutting‑edge environment. What You’ll Do • Design, develop, and maintain end‑to‑end web applications—from intuitive front‑end interfaces to robust back‑end servers and APIs., • Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‑driven applications., • Prepare and structure data for dashboards, reporting, and machine learning solutions., • Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems., • Manage CI/CD deployments and version control across hybrid AWS and Azure environments., • Analyse system performance, troubleshoot issues, and continuously improve existing solutions. Essential: • 1–2 years of experience as a Full Stack Engineer, Web Developer, or Data Engineer., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a STEM field., • Proficiency in Python and SQL for back‑end logic and data operations., • Hands‑on experience with front‑end frameworks such as React or Next.js., • Experience creating and maintaining APIs, working with relational/non‑relational databases., • Familiarity with data orchestration tools (e.g. Airflow) and data warehouse/lake design., • Practical knowledge of AWS or Azure cloud environments., • Strong understanding of Git, CI/CD, and modern deployment practices., • Experience with WordPress/PHP or Streamlit for rapid web applications., • Familiarity with dbt, Power BI, or similar data analytics tools., • Understanding of machine learning, AI integration, and vector databases., • Interest in UI design or Agile project delivery. This role offers a rare opportunity to develop both front‑end and data engineering capabilities within a forward‑thinking digital solutions team. You’ll gain hands‑on experience with next‑generation technology stacks, cross‑functional collaboration, and projects shaping how global enterprises use data and automation. Please apply with your latest CV showing all relevant experience and email your CV with your salary expectations, availability to interview and start working Dr Marina Economidou, Executive Solutions Consultant

Senior Software Engineer 📍Location: Onsite, London, United Kingdom ⌛Type: Full-time 💰 Compensation: Negotiable (Competitive salary + equity) About Ontik Ontik is an ambitious, early-stage B2B financial operations platform designed to streamline and simplify complex financial workflows for heavy duty industries. We’re scaling rapidly and looking for top-tier engineers to join our team. You’ll have the chance to work in a high-performance, ownership-driven environment, where you can make a direct impact on the product and help shape its future. Role overview As a Software Engineer (Full-Stack) at Ontik, you’ll play a pivotal role in building and scaling our financial operations platform. This is a hands-on, high-impact position where you will be directly responsible for delivering clean, scalable, and high-performance code. You will work closely with product managers, designers, and other engineers to solve complex problems and create intuitive solutions that help simplify financial workflows for our users. You’ll have the opportunity to own critical features and contribute to the overall architecture of our platform. We’re looking for an engineer who thrives in a fast-paced environment, embraces ownership, and is passionate about building software that makes a real difference. If you enjoy working with cutting-edge technologies, solving challenging problems, and iterating quickly in a collaborative environment, we’d love to hear from you. Essential experience • 5+ years of experience in software engineering, ideally with some experience in a startup environment., • A proactive, ownership-oriented attitude with the ability to take initiative and drive projects forward, • Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React), • Experience working with databases (SQL and NoSQL), APIs, and web technologies., • Experience with cloud platforms (AWS, GCP, Azure), • Solid understanding of software engineering principles, including clean code, testing, and version control (git)., • Strong problem-solving skills and the ability to break down complex technical issues and deliver simple, effective solutions., • A collaborative mindset, with the ability to work closely with cross-functional teams to deliver high-quality products, • Excellent communication skills to articulate technical concepts to both technical and non-technical team members, • A passion for building robust, efficient software and a desire to continuously improve your skills and knowledge, • Familiarity with financial technologies, payment systems, or SaaS products, • Experience with continuous integration/continuous deployment (CI/CD) pipelines Desirable • Experience delivering challenging integrations with 3rd party systems, • Understanding of event-driven system design Why Ontik? At Ontik, we embrace a high-performance, ownership-driven culture where every team member plays a critical role in our success. We move quickly, take responsibility for our work, and continually strive for excellence. As a Software Engineer, you’ll have the opportunity to take ownership of key features, work with brilliant colleagues, and make a tangible impact on the future of our platform. If you’re ready to solve challenging problems, build innovative solutions, and contribute to a fast-growing startup, Ontik is the place for you.

I am partnering with an early-stage UK tech startup focused on using data and AI to optimise and accelerate the design of clinical trails. Senior Back-End Engineer – Founding Team (London, Full-Time) Role: Senior Back-End Engineer – Founding Team Location: London, UK (on-site/hybrid) Type: Full-time, Senior Level About the Role I am seeking a highly experienced Senior Back-End Engineer to join a fast-growing, deep-tech venture at an early stage. As a key member of the founding engineering team, you will shape and build the core server-side architecture that underpins their next-generation platform. You’ll work closely with product and engineering leadership to design, implement, and scale reliable backend services, APIs, and systems — helping to turn cutting-edge ideas into real-world products. What You’ll Do • Lead the design, development, and maintenance of scalable, secure, and high-performance backend services and APIs., • Collaborate across the engineering team — including frontend, product, and QA — to architect solutions that address business needs and technical challenges., • Drive the full development lifecycle: requirements, design, implementation, testing, deployment, and support., • Improve and optimise existing systems for performance, reliability, and maintainability., • Conduct code reviews, provide technical leadership, and mentor junior engineers to uphold best practices., • Identify and address security, performance, and scaling bottlenecks. What We’re Looking For • 5+ years of hands-on experience building backend systems in a production environment., • Strong experience with backend languages and frameworks (e.g., Java, Spring, Python, Go, Node.js — adaptable to your stack)., • Proven track record designing and implementing RESTful APIs and microservices., • Solid understanding of databases (SQL and NoSQL) and effective data modeling., • Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines., • Experience with performance optimisation, security best practices, and scalable architectures., • Excellent communication skills and ability to work effectively in an agile, cross-functional team. Nice-to-Have • Experience with distributed systems and asynchronous architectures., • Knowledge of observability tools, testing frameworks, and containerisation (Docker, Kubernetes)., • Previous involvement in early-stage or founding engineering teams. Why Join? • Play a pivotal role in shaping a product from the ground up, • Influence technical direction and engineering culture, • Work in a collaborative, fast-paced environment where your impact is visible, • Competitive compensation and growth opportunities Following your application Jay Robins, a specialist AI Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment. Please click ‘apply’ or contact Jay Robins for any further information. Email:

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Frontend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Understand & advocate for user needs/wants, • Translate user and business needs into functional frontend code, • Contribute to API and broader system design & documentation Essential Qualifications: • Strong understanding of UX principles and web design fundamentals, • Expert in Javascript, Typescript, HTML, and CSS, • Extensive experience with modern web frameworks and patterns (eg. React, Next.js, Tailwind), • Experience with real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: • Some experience in backend development (Python/Java/Go), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Data Engineer [Associate/Senior Associate] About the job We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm’s objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do • Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives., • Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets., • Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence., • Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency., • Implement best practices for data modeling, governance, and security across all platforms., • Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality., • Python expertise: Advanced proficiency in Python for data engineering, data wrangling and pipeline development., • Cloud Platforms: Hands-on experience working with Azure. AWS experience is considered, however Azure exposure is essential., • Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security., • Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution., • Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects., • SQL Databases: Extensive experience with PostgreSQL, MySQL (or similar), including schema design, optimization, and complex query development., • Infrastructure as Code: Production experience with declarative infrastructure definition – e.g. Terraform, Pulumi or similar., • Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices (experience with Azure DevOps or Github Actions) to ensure seamless code integration and deployment processes., • Communication and Problem solving skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike. Excellent problem-solving skills with a strong analytical mindset. About Us: We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

Azure Software Engineer | 6 month contract Outside IR35 | Hybird 2 days on site | Epsom (location not accessible by public transport) Our client, a global brand, are looking for an Azure Software Engineer to support an enterprise legacy modernisation programme. Delivery-focused role building and integrating cloud-native services across core business systems. What you’ll do • Build and integrate services using Azure Functions, APIM, REST APIs, C#/.NET, and JavaScript, • Develop and support applications using Azure SQL / SQL MI, • Contribute to CI/CD pipelines and infrastructure using ARM templates with Azure DevOps or GitHub, • Support testing, releases, monitoring, and production stability, • Solid commercial experience delivering solutions on Microsoft Azure, • Good C#/.NET and integration experience, • Comfortable working in hybrid delivery environments Azure Software Engineer | 6 month contract Outside IR35 | Hybird 2 days on site | Epsom (location not accessible by public transport)

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: • LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations, • Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls, • Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation, • Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies, • Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers, • Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability, • Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous insurance challenges into clear, feasible AI solutions, • Assess client data maturity, policy document quality, legacy platforms and security constraints, • Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation, • Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities, • Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: • Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias, • Designing monitoring, logging and tracing suitable for regulated insurance environments, • Applying governance, risk and compliance principles (eg audit trails, explainability, access controls), • Supporting controlled releases and operational handover into insurer IT and operations teams, • Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: • Build reusable insurance-specific accelerators, agent patterns and reference architectures, • Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases, • Share emerging research, frameworks and AI trends relevant to the insurance sector, • Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a hands-on consulting engineering role. Candidates should bring: • Experience in software engineering, AI engineering or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade, regulated systems, • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains, • Proven ability to rapidly prototype and validate solutions with business stakeholders, • Experience working directly with clients in consulting, professional services or regulated enterprise environments, • Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred

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

Senior Platform Engineer – Hedge Fund £150,000 - £225,000 base + competitive hedge fund bonus Orbis has partnered with a high-performing multi-asset hedge fund to build out its platform engineering team. This is a rare opportunity to lead greenfield infrastructure projects in a sophisticated trading environment; no prior finance experience is required. The role: You'll architect and deliver critical infrastructure projects spanning the firm's on-premise data centres and cloud environments. Key focus areas include: • Leading the migration from Nomad to Kubernetes across a hybrid infrastructure environment, • Designing highly available systems that support real-time trading operations, • Expanding the firm's cloud footprint (AWS/Azure/GCP) while maintaining on-prem capabilities, • Owning projects end-to-end from design through production What you'll need: • Production experience with Kubernetes (EKS/AKS/GKE or bare-metal), • Strong Linux systems background; Windows experience is beneficial, • Track record delivering cloud migrations and managing hybrid environments, • Experience supporting mission-critical, highly available systems What makes this different • Greenfield projects: Build from scratch rather than maintaining legacy systems, • Technical diversity: Work across data centres, cloud platforms, and container orchestration, • Finance exposure: An opportunity to break into hedge funds without needing prior domain knowledge, • Competitive compensation: Strong base salary plus hedge fund bonus structure, • Balanced hybrid working: 3-4 days per week in St James offices Interested? Apply through Orbis to learn more about the firm and the interview process.

Data Engineer – TV Advertising Data (FAST) Location: London – 3 days onsite Salary £75,000 - £85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We’re currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets, • Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle’s Microsoft Fabric environment, • Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics, • Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis, • Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem, • Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews, • Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution, • Translate business and analytical needs into well-structured data models and technical solutions, • Automate data workflows to minimise manual processes and improve operational reliability, • Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers, • Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience • 5+ years’ experience working as a Data Engineer or in a similar role, • Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus, • Strong proficiency in Spark SQL and PySpark, including complex transformations, • Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent, • Ability to write efficient, reusable scripts for transformation, validation, and automation, • Hands-on experience integrating data from APIs (REST, JSON), including automated data collection, • Solid understanding of data modelling best practices for analytics and dashboards, • Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs), • Strong problem-solving skills and the ability to diagnose and resolve data issues, • Excellent communication skills and experience working with cross-functional teams, • Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!

You’ll join a team dedicated to pushing the boundaries of what’s possible in the trading world, using innovation to drive real results. Python API Engineer – London What you will do • Maintain and develop SaaS products offering, pioneering innovative approaches to achieve the company's vision. For example, integrating cutting-edge AI models or developing new analytical tools., • Work alongside Engineers, UX & Infra teams to develop new features for their analytical services, whilst still maintaining existing functionality., • Take ownership and responsibility for our product, including leading projects and participating in code reviews., • Keep abreast of new & developing technologies - championing/incorporating when appropriate. What you’ll need to succeed • Minimum of 3+ years of experience with Python and major cloud providers (AWS, Azure, or GCP)., • Proven experience in building Rest APIs with frameworks such as Flask/FastAPI., • Strong Experience in software development best practices: CI, Testing, Deployment., • Proficiency in the Linux ecosystem., • Experience with databases such as Postgres and Redis., • Strong interest in finance and AI., • Excellent communication skills, self-starter, logical thinker, and quick learner. If you're ready to contribute to pioneering solutions that shape the future of finance, we want to hear from you. Contact Ciara Clarke for a confidential discussion on this role.

Security Engineer - Azure London – 2 days a week on site £65,000 The company: This regulated organization work with banks, insurers and pension providers to ensure that their customers are protected from losses. The team is expanding to support the needs of the business and their clients and are looking for a Security Engineer, with Azure expertise, to deliver and maintain the security controls across this evolving business’ infrastructure Security Engineer - Azure The role: The successful applicant for the Security Engineer - Azure will be responsible for: • Delivering security engineering across MS Azure, including Sentinel, and Defender configuration, • Engineering proactive solutions, including suggesting automation for continuous improvement of security controls, • Conducting threat hunting activities to ensure that the business remains aware of the changing threat landscape, and then take proactive decisions to mitigate this, • Configuring tooling in the MS Security Suite Your profile: The ideal candidate for the Security Engineer - Azure will: • Have had practical experience in a security engineering role, • Strong proven ability to work with MS Azure Security Services, • Strong experience with vulnerability platforms for example Tenable or Qualys, • Experience of working in a regulated environment Security Engineer - Azure Your technical knowledge and skills The ideal applicant for the Security Engineer – Azure will have: • A strong understanding of cloud security principles, with Azure being strongly preferred, • Recent experience with MS Defender for Cloud and MS Sentinel, • Knowledge of IAM concepts, • Scripting skills for automation, • Exposure to Infrastructure as code (e.g. terraform) We invite individuals from underrepresented groups to apply for any of our roles and are committed to supporting accessibility needs. Unfortunately, this client is unable to offer visa sponsorship at this time

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

STEADROCK CAPITAL — AI & SYSTEMS ENGINEER (Graduate / Junior) Location: Mayfair, London Start: Immediate Type: Full-time, In person Compensation: £40,000–£60,000 + discretionary bonus About Steadrock Capital Steadrock is a London-based multifamily office and investment firm operating at the intersection of real estate private equity, AI compute infrastructure, and quantitative finance. We recently acquired 10 Queen’s Gate Place (SW7) for redevelopment into six luxury units (Grade II listed) with a projected GDV materially above £17M. Alongside our real estate strategy, we operate a dedicated AI infrastructure stack centered on an NVIDIA DGX system, used for in-house modelling, automation, and agent development. We are building a small, elite technical team. This role is a core pillar of that team. Role: AI & Systems Engineer. This is a hybrid role blending backend engineering, GPU systems, AI agent development, and automation. In your role, you will work with a part time, outside, technical consultant, specialising in the responsibilities below. This will allow for structured and greatly accelerated learning. Day to day, you will work directly with the founder, our economics lead, and our quantitative modelling lead. This is not a corporate environment. We move fast, prefer clean architecture, and value people who can think independently. Core Responsibilities You will own the technical backbone of Steadrock's internal systems: • Compute Infrastructure (DGX), • Manage our NVIDIA DGX server (Linux environment, CUDA, system health), • Build, test, and maintain internal APIs (FastAPI/Flask), • Design stable ngrok / reverse-proxy / network connections for remote access, • Optimise GPU utilisation and monitor performance, • AI Agent & Automation Development, • Develop pipelines for fine-tuning, embeddings, inference, • Backend & Internal Tools, • Build the “Steadrock OS”: internal dashboards, scheduling tools, risk engines, • Maintain Python codebase, Git repositories, environments, • Connect iPhone/iPad workflows with backend systems, • Data & Real Estate Interfaces, • Build automated comparables engines, • Assist with financial modelling scripts What You Need Technical • Strong Python, • Experience with Linux (Ubuntu), bash, SSH, • Understanding of GPUs, CUDA basics, or willingness to learn fast, • Experience with FastAPI, Flask or similar, • Basic networking knowledge (ports, tunnels, proxies), • Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen), • Exposure to Docker or Kubernetes, • Familiarity with cloud providers (AWS/Azure/GCP), • Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required), • Interest in real estate, • Interest in finance or quantitative modelling, • Experience building agents (LangChain, LlamaIndex, custom architectures) What We Offer • Work directly with an NVIDIA DGX system, • Build AI systems from the ground up, • Very high autonomy, • Exposure to private equity, high-end real estate development, planning strategy, • Freedom to design architecture as you see fit, • A fast-moving environment with no bureaucracy, • The opportunity to become a foundational technical hire (progression is fast Why This Is a Unique Role This is not a typical graduate software job. It is a rare opportunity to join a small, elite, multi-disciplinary team and: • Build AI systems with real impact, • Architect the compute backbone of a growing multi-family office, • Influence investment analysis, real estate strategy, and automation, • Touch every part of the tech stack, • Grow into a CTO-level position You won’t be maintaining someone else’s stack — you will be building Steadrock’s from scratch. Application Process • CV, • Short Python task (we will send a practical DGX-related challenge), • Technical interview (systems + Python), • Final discussion with the founder Work Location: In person

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

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

A well-established professional services business is hiring a Data Engineer to play a key role in building and optimising its modern cloud data environment. This is a technical, hands-on role with team management responsibilities – ideal for someone who wants to stay close to the tech while guiding and developing a growing team. Role: Data Engineer Salary: £70,000 - £85,000 Location: Guildford – 5 days per week onsite What you’ll be doing: • Design, build, and optimise scalable data pipelines and architecture, • Work hands-on with SQL, PySpark, Databricks, Azure, and Data Lake to deliver high-performance solutions, • Translate business needs into technical requirements and data-driven solutions, • Ensure best practice in data governance, quality, and security, • Manage and mentor engineers, helping them grow while contributing directly to delivery, • Support the company’s AI roadmap by developing and scaling the data environment What you’ll need: • Proven experience as a Data Engineer or Senior Data Engineer with some team leadership responsibilities, • Strong technical expertise with PySpark, Databricks, Azure, and Data Lake, • Deep understanding of data architecture and ETL processes in cloud environments, • The ability to balance coding and technical delivery with people management, • Excellent problem-solving skills and the energy to thrive in a fast-paced environment What’s on offer: • Salary £70,000 - £85,000, • Onsite role – Guildford HQ, 5 days per week, • The chance to work on cutting-edge data projects within a modern data stack, • Play a central role in building the foundations that will fuel the company’s AI roadmap, • A brilliant opportunity for a highly energetic, ambitious technical professional who is passionate about data and ready to step up into a role combining delivery with people management

Welcome to Lomond, the UK's leading network of lettings and estate agencies. We are not just a successful acquisitions company; we have established ourselves as a prominent player in the real estate industry. Our extensive network consists of 12 leading lettings and estate agencies, and we have made over 80 strategic acquisitions to date. At Lomond, we are relentlessly committed to excellence and dedicated to transforming the real estate landscape. With our team's vast industry expertise and local knowledge, we are here to redefine expectations in our sector and lead the way for change. We’re looking for a Data Engineer to join us here at Lomond. You’ll work closely with our Chief Commercial Officer to research and turn complex data into clear, actionable insights that shape business strategy and market positioning across the UK. This is a full-time, permanent position located in our Liverpool Street, London office. You will be required to be You'll enjoy a standard workweek of 37.5 hours, Monday to Friday, 9am to 5.30pm. Job Overview Own the build and reliability of our modern data platform across Azure/Microsoft Fabric and Snowflake. You’ll design and operate ingestion and transformation pipelines (dbt), integrate external data via APIs, optimise warehouse performance/cost, and manage secure access (RBAC) so data remains trusted, governed, and ready for analytics and reporting. Key Responsibilities • Data Engineering & Pipelines, • Design, build, and operate data ingestion and transformation pipelines in Azure Data Factory / Fabric Data Factory., • Implement medallion architectures in Microsoft Fabric Lakehouse/Warehouse or Azure Synapse. Develop and maintain dbt projects including models, tests, and documentation., • API Integrations & Semistructured Data, • Build connectors for REST/GraphQL APIs with proper authentication and schema handling. Ingest and normalise JSON/Parquet with schema evolution., • Reliability, Observability & Support, • Implement monitoring, freshness checks, and incident response. Troubleshoot production issues and ensure reliable pipelines. Skills & Experience (Required) Cloud & Platforms: • Azure (Data Factory / Fabric Data Factory; Fabric Lakehouse/Warehouse or Synapse/SQL DW)., • dbt (models, tests, documentation, environments) and strong SQL., • Modern modelling (star/snowflake schemas; medallion architecture; staging→curated marts)., • API ingestion (OAuth2/API keys, pagination, error handling, schema evolution)., • Foundational DBA skills (backup/retention, access control, resource monitoring, performance/cost optimisation)., • Clear documentation, strong problem-solving, and effective collaboration across technical and business teams. Reward & Benefits Health & Wellbeing – Access to our smart spending app with discounts at 900+ retailers, wellbeing resources, free counselling, and a Virtual GP service. Learning & Development – We’ll support your professional growth with funded qualifications and over 90 in-house training programmes. Holidays & Enhanced Leave – Up to 28 days’ holiday plus bank holidays, your birthday off, the option to buy extra days, and enhanced family friendly leave (Neonatal, maternity, paternity, adoption & IVF). Lifestyle Perks – Cycle2Work scheme, Smart Tech scheme for the latest gadgets, and celebrations for long service. Security & Support – Life assurance cover to protect your loved ones.

Software Engineer (Full Stack) Location: UK, required in the London office once every two weeks Employment Type: Full-Time About Us FNZ Q-Hub, a part of the FNZ Group, is a global provider of innovative investment platforms. We work with top-tier financial institutions to deliver solutions that empower them to offer retirement income protection products to their clients. Our advanced technology supports thousands of accounts daily, driving seamless integration and value for our clients. At Q-Hub, we combine deep domain expertise in asset management with a strong focus on technology and operational excellence. As a growing team, we value ownership, initiative and collaboration. Joining us means becoming part of a dynamic environment where your contributions have a direct impact on clients and product evolution. The Role We are looking for a Full Stack Software Engineer to join our growing development team. The ideal candidate will be confident working across both back-end and front-end technologies, particularly within a modern Azure-based environment. You’ll design, build, and maintain applications that drive client-facing products and internal systems - ensuring scalability, performance, and resilience. Working closely with product managers, designers and DevOps engineer, you will play a key role in shaping the architecture, automating deployments and supporting smooth integrations across the platform. Key Responsibilities • Design, develop and maintain full stack applications using modern frameworks and technologies., • Build efficient and reusable components for both front-end and back-end systems., • Work with Azure cloud infrastructure to deploy, monitor and maintain applications., • Collaborate with cross-functional teams to ensure seamless integrations and data flow between systems., • Maintain clean, well-documented and testable code across all layers., • Participate in design discussions, code reviews and technical decision-making., • Support continuous improvement by identifying and implementing enhancements to processes and tooling. Technical Knowledge & Experience We’re looking for candidates with experience in several of the following areas: • Strong background in software development using C# / .NET for back-end systems., • Front-end development experience with React, TypeScript, and modern web technologies, such as NextJs and/or Vite, component libraries such as Material UI, SemanticUI or other theme-led design systems, and API integration experience., • Azure cloud services (App Services, Azure DevOps, Functions, Service Bus)., • CI/CD automation, pipelines, and source control (Azure DevOps, GitHub, GitLab)., • RESTful API design and integration; experience with microservices architecture., • Relational databases experience, primarily SQL Server, preferably via Entity Framework but can consider other ORM experience as relevant., • Containerisation using Docker and orchestration with Kubernetes (a nice to have but not essential)., • Familiarity with monitoring and observability tools such as Grafana, Prometheus, or App Insights., • Experience in agile delivery environments with testing such as XUnit with NSubstitute in particular., • Exposure to Infrastructure-as-Code (Terraform, ARM templates) desirable. What We’re Looking For • 7–12 years of hands-on development experience covering both front-end and back-end technologies., • Demonstrable experience delivering scalable applications in cloud environments., • Solid understanding of CI/CD and DevOps principles., • Strong problem-solving skills with attention to detail and maintainability., • Comfortable working independently and collaboratively within a fast-paced, agile environment., • Excellent communication skills, with the ability to explain technical concepts clearly., • STEM background (Computer Science, Engineering, or similar) is desirable., • Experience within fintech, banking or wealth management sectors is advantageous. What We Offer • A chance to work on real-world technology used by investment professionals., • The opportunity to design and implement solutions that directly improve client experience., • A collaborative team environment that values independence but where help is always available when needed., • Flexible working with a focus on outcomes and autonomy., • Competitive compensation and benefits. Benefits • Competitive base salary, • Pension contribution, • Private medical cover, • Life insurance x4 of annual salary, • £800 towards development annually, • Enhanced maternity and paternity cover, • Flexible working – only required in the office once every two weeks, • Remote working up to 1 month per year

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

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

Software Engineer London / Hybrid | Perm Role £80,000 - £100,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call -

Location: London Area (Fully Remote with 1x Monthly in-person meeting + weekly optional co-working in London) Compensation: £65,000 - £85,000 + Path to Meaningful Equity Role Type: Founding Engineer Mentality (Results-Oriented) About Us We are a lean and fast-growing AI and Data Analytics consultancy. While we have deep roots in AI, we build a wide variety of software solutions for our clients—ranging from high-performance mobile data collection tools to complex cloud-native backends. We are looking for an ambitious developer ready to step into a leadership and architectural role. The Role & Culture We operate on a High-Trust, Results-Driven basis. We don't care about 9-5 fixed hours; we care about delivery and excellence. One of our current projects requires deep expertise in Android (Kotlin). While we take on diverse projects across various stacks, your immediate priority will be owning and architecting a performance-critical mobile data collection ecosystem. This is a "many hats" role: one morning you might be designing a system architecture, and that afternoon you might be building a slide deck for a client pitch or debugging a Docker deployment. What You’ll Do • Architect & Build (Kotlin focus): Take full ownership of our high-performance Android data collection app. Expert-level Kotlin is essential here., • Technical Decision Making: Choose the right tool for the job. You have the autonomy to implement new technologies for future projects., • Technical Leadership: Act as an architect for our system ecosystems and mentor the wider team., • Kotlin Expert (Must Have): 3+ years of professional experience. Deep understanding of the Android ecosystem., • Cloud & Architecture (Must Have): Experience working with at least one major cloud provider (AWS, GCP, or Azure) and a solid grasp of system architecture (designing APIs, selecting databases, and high-level system flow). While you don't need to be a principal architect, you must be comfortable designing the "skeleton" of a project., • Ownership Mindset: You understand that in a startup, "done" means deployed and working. You are reliable and reachable when the stakes are high., • Polyglot & Ambitious: You are fearless about swapping to Python, Go, or other technologies. You are a strong "Mid" or "Senior-lite" ready to lead., • True Flexibility: We offer a "give and take" culture. During project downtime, we encourage you to recharge and work reduced hours. As long as you are contactable and the work is done, your schedule is your own., • Unrivaled Autonomy: You choose the stack. You design the systems. You deliver to the customer., • Path to Equity: Following a successful integration and probation period, there is a clear path to meaningful equity ownership., • Impact: You will be a very influential, expert technical person in the company taking us forward as we grow as a business. Apply today. No agencies. We are not currently offering VISA sponsorship.

numi is proud to have partnered with a multiple award-winning, high-growth fintech company. We have made multiple hires to this company, it is a place for top-tier engineers who are also excellent colleagues. As they continue to grow, they're looking for an exceptional IC (Individual Contributor) to solve some of their most complex problems. This is an opportunity to be a top technical voice, influence the system, and mentor a talented team. As a Principal Engineer, you will be a hands-on problem solver and a technical leader, influencing the team through expertise and example rather than line management. What You'll Do • Solve Complicated Problems: Tackle some of the most difficult challenges in fintech, such as increasing the reliability of core data and solving problems at scale., • Provide Technical Direction: Lead through influence by setting the technical direction and providing guidance on system and data architecture., • Mentor the Team: Support and mentor senior engineers, helping them weigh up approaches and accelerate their learning., • Lead by Example: Run training sessions and facilitate discussions to elevate the entire engineering team. Who We're Looking For You are a seasoned engineer with 10-15 years of experience, a track record of building maintainable, scalable services and systems, and an upward trajectory in your career. You are a fantastic IC who thrives on solving tough problems. • Significant experience with Python., • A background in a cloud-focused organization with exposure to AWS, GCP, or Azure., • A desire to work collaboratively in a team and an ability to communicate effectively with both technical and business stakeholders. Nice to Have: • Experience with Vue, Nuxt, React, or Next., • Experience or a strong interest in Fintech. Why You'll Love Working Here • Exceptional Impact: Be the biggest single influence on the system and technology direction., • Unrivaled Learning: Gain exposure to the finance industry while working on a modern tech stack., • Incredible Colleagues: Join a team of skilled engineers and excellent colleagues., • Real Ownership: Receive a meaningful equity stake and a competitive salary of £120k-£140k plus EMI options.

Senior Software Engineer (Python - FastAPI) This fast-growing consultancy is pushing the boundaries of AI and data science, helping clients turn complex challenges into scalable, production-ready solutions. They’re now hiring a Senior Software Engineer who can blend deep technical expertise with a practical, delivery-focused mindset. Role Overview: Location: London (hybrid) Package: Competitive salary + bonus + benefits Industry: AI, Data Science & Technology Consulting Security Clearance: Applicants Must have Active SC Clearance or above What You’ll Be Doing: • Leading the end-to-end design and build of applications that utilise advanced AI and data-led software solutions., • Developing scalable data pipelines and backend services that support complex modelling work., • Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments., • Training, tuning and deploying machine learning models into production., • Creating processes for robust data extraction, transformation and management., • Integrating new solutions with existing systems and ensuring smooth deployment., • Producing clear technical documentation and presenting findings to clients., • Staying current with emerging technologies and bringing fresh ideas into the team., • Contributing to proposals and shaping new project opportunities., • Mentoring junior engineers and driving best practice across the engineering team. Main Skills Needed: • Strong track record delivering complex software projects end-to-end., • Deep expertise in Python Application Development (FastAPI), with a strong SQL capability., • Hands-on experience building data pipelines, APIs and backend services., • Solid understanding of cloud platforms (Azure/GCP) and Bash scripting., • Advanced Docker knowledge, including storage, volumes and permissions., • Strong grounding in software engineering principles, version control and CI/CD., • Ability to review and improve others’ code with a collaborative approach., • Excellent communication skills and confidence presenting technical work., • Experience mentoring or line-managing technical team members., • Eligible for UK security clearance (British citizenship and UK residency for 5+ years). What’s in It for You: • A genuinely entrepreneurial environment with autonomy and variety., • Projects spanning multiple industries, technologies and data challenges., • 26 days’ holiday + bank holidays + your birthday off., • BUPA private healthcare and a £1,000 annual development budget., • Performance-based bonus and hybrid working from a modern Shoreditch office., • Work from abroad for one month each year., • Regular socials, snacks and a supportive, ambitious team. Think it could be a fit? We’d love to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

SENIOR PYTHON ENGINEER LONDON £65,000 - £85,000 You’re a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS company is using machine learning to make digital advertising more transparent, efficient, and fraud-free redefining how advertisers protect and optimise their campaigns. Their machine learning platform detects and blocks invalid or low-value clicks across search, display, and social channels, empowering marketing teams with trusted data and higher ROI. Your work will directly support their mission to make digital advertising more transparent and impactful. THE ROLE As a Senior Python Engineer, you’ll play a key role in building and improving the core platform that powers the AI-driven traffic protection and analytics capabilities. You’ll work closely with the other teams to launch new models, enhance real-time tracking, and deliver high-performance backend solutions that process massive datasets. Specifically, you can expect to be involved in the following: • Developing and maintaining large-scale data pipelines and backend systems in Python., • Working with AI/ML datasets to help train and deploy new detection models., • Building and improving integrations, and working on greenfield product developments., • Collaborating with data science and applications teams to deliver features at scale., • Working with real production data (billions of data points) in a fast-paced, high-impact environment., • Deploying code to production with flexibility to shape and improve existing processes. SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: • Strong Python (python frameworks), backend development experience (3+ years), • Experience working with AI/ML or big data systems., • Familiarity with AWS, Redshift, or other cloud data platforms (GCP/Azure also welcome)., • Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus., • Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits: • Salary: £65,000 – £85,000, depending on experience, • Hybrid working with 2 days in the London office, • Opportunity to work with cutting-edge ML and large-scale data systems, • Career growth in a rapidly scaling Series A company, • Collaborative, innovative engineering culture with high ownership, • Great work-life balance HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Azure Platform Engineer | Azure, Terraform & Kubernetes | High-Impact Cloud Consulting • Salary: £75,000–£100,000, depending on Senior or Principal level, • Location: Hybrid working – 1 day per week in office, • Requirement: UK Security Clearance eligibility required, • Permanent, full-time position We’re hiring Senior and Principal Azure Platform Engineers to join a fast-growing cloud and platform engineering consultancy delivering large-scale enterprise and public sector programmes. This is a hands-on consulting role where you’ll design and build modern Azure platforms, work closely with client engineering teams, and rotate across varied projects. The business is scaling rapidly across Azure, AWS, data & AI, and software engineering, offering a genuine growth phase with scope to influence standards and direction. The Role As an Azure Platform Engineer, you will sit at the heart of cloud transformation programmes. Depending on level: • Senior: you’ll focus on hands-on delivery, building robust Azure platforms and landing zones., • Design and build Azure platform foundations and landing zones., • Automate infrastructure using Infrastructure as Code., • Build and improve CI/CD pipelines for cloud-native delivery., • Enable application teams to adopt DevOps and cloud-native best practices., • Work through full consulting lifecycles: discovery, design, build, and handover. Non-Negotiables • Azure cloud engineering experience in production environments., • Terraform infrastructure as code (this is essential)., • Strong CI/CD and automation mindset., • Solid understanding of cloud networking, security, and scalable design., • Comfortable working in client-facing consulting environments., • Eligibility for UK security clearance (British citizen or ILR, UK resident for the last 5 years). What You’ll Work With • Microsoft Azure platform engineering., • Terraform infrastructure as code., • CI/CD pipelines (GitHub Actions or similar)., • Kubernetes platforms (AKS exposure preferred)., • Cloud-native security and networking patterns. Nice to Haves • Previous experience in cloud or DevOps consultancies., • Kubernetes expertise beyond the basics., • Experience rotating across multiple client projects., • Enjoyment of mentoring engineers and raising engineering standards. Why Join / Projects • Work on high-impact enterprise and public sector cloud programmes., • Join during a major growth phase, with multiple platform, data, and software hires underway., • Projects typically run 3–12 months, keeping work varied and technically interesting., • High engineering bar combined with a collaborative, people-first culture., • Strong focus on learning through real delivery, workshops, and shared problem-solving. Employee Benefits • Performance-related bonus., • Share options with long-term upside., • £1,000 annual learning & development budget., • Funded cloud certifications., • Flexible hybrid working with minimal office requirement., • Paid client travel. Azure Platform Engineer | Azure, Terraform & Kubernetes | High-Impact Cloud Consulting

About the job Position Description: Physical Security Technology Intermediate Engineer The Physical Security Technology Intermediate Engineer will utilize specialized knowledge to support the deployment, integration, maintenance, and upgrading of physical security systems. In collaboration with the Managing Director of Security Technology and Security Consulting team, the Intermediate Engineer will interact extensively with clients, providing a combination of hands-on system support along with infrastructure coordination, emphasizing network communication, firewall flow validation, and system health monitoring. The Intermediate Engineer will be expected to have technical involvement in client systems. Installing and configuring security system applications and setting up and troubleshooting the endpoint devices that connect to them. When necessary, the Intermediate Engineer will carry out directions from Senior Engineers to facilitate software upgrades, security patches, and manage software licenses. The engineer will also need to collaborate with various client IT/network teams to ensure proper network segmentation, device communication, and firewall rule implementation. Suitable candidates will have relevant experience in a professional service or corporate setting or with a security technology integrator and willing to work independently at client sites with direction. This position is based in the United Kingdom. Candidates must be located in the UK and have authorization to work there. This position offers a hybrid schedule, allowing remote work part of the week while also collaborating in person at our London office. Must be able to travel to the United States or elsewhere in the EMEA on occasion, as necessary. This is a Physical Security position not an Information Security position. Key Responsibilities: • Install and configure security applications, such as Genetec Security Center and its associated components., • Collaborate with client IT and Network teams to ensure that security system components can communicate across the network., • Audit PACS and VMS applications for common misconfigurations and mismanagement., • Set up and troubleshoot IP cameras, access control panels, and other networked security peripherals., • Monitor client security systems for health alerts., • Assist in diagnosing connectivity issues caused by blocked or misrouted traffic., • Support the application functions of security systems running on windows-based servers and clients., • Maintain accurate documentation of system architecture, IP addressing, and device inventory., • Respond to escalated client support tickets, opening requests with product vendors when required., • Assist the Managing Director in handling ad-hoc security technology requests and projects as required., • Adjust camera settings, door settings, and system schedules based on client requirements. Required Experience and Skills: • A Bachelor's degree in a relevant course of study, • At least three years of relevant experience is needed in building and configuring physical security technology systems., • Must have superior problem-solving skills and the ability to think outside the box., • Understanding of firewall rules, access control lists, and network traffic flow analysis, • Experience using common security technology applications such as Genetec Security Center, Milestone XProtect, Honeywell Pro-Watch, Brivo, Eagle Eye, OpenEye, Exacqvision, Lenel, CCURE, • Familiarity working in Windows Server Environments, • Familiarity working in virtualized and nested environments., • Must have the ability to communicate clearly in writing, orally, and the ability to communicate across all levels including a comfort level with senior level management and key decision makers., • Self-motivated individuals with a strong commitment to provide outstanding services for clients., • Honesty and integrity are essential. Must be able to pass a comprehensive background investigation. Preferred Experience and Skills: • Experience with Application Engineering, Platforms Engineering, Network Engineering, and SQL Engineering, • Experience in integrating physical security technology with broader organizational IT frameworks., • Familiarity with cybersecurity practices related to physical security technology., • Experience managing multi-location or enterprise-level security systems., • Experience with vendor certifications, • Experience working in cloud environments (both Azure and AWS), • CompTIA, Cisco, or Microsoft certifications

Senior Software Engineer - .Net Contract UK, Remote | Contract Inside IR35 | 6 months Start - ASAP Curated is partnering with a highly successful InsurTech that is continuing to scale and modernise its core technology platform. The business operates at significant scale, supports complex, data-driven products, and is investing heavily in its engineering capability as part of a long-term transformation programme. They are expanding multiple engineering teams and are looking to bring in experienced contract Software Engineers to support high-impact delivery across a critical platform. This role will suit senior engineers who enjoy working on large, evolving systems, modern cloud infrastructure, and solving complex technical problems in a regulated, high-availability environment. The Role You will join a cross-functional product engineering team focused on the evolution and modernisation of a core InsurTech platform. The work centres around building scalable, cloud-native services while improving performance, reliability, and long-term maintainability. This is a hands-on role requiring strong engineering judgement, an ability to work pragmatically within existing systems, and the confidence to contribute to architectural and technical decisions in a collaborative environment. What You’ll Be Doing • Designing and building backend services using modern .NET, • Developing and scaling cloud-native solutions on Microsoft Azure, • Working with large, data-intensive systems using SQL, • Improving and refactoring existing systems to support future platform growth, • Writing high-quality, well-tested, production-ready code, • Collaborating closely with Product and Engineering peers on delivery and prioritisation, • Supporting a platform operating at scale, with a strong focus on performance, resilience, and reliability What We’re Looking For • 7+ years of professional software engineering experience, • Strong, hands-on experience with the modern .NET stack, • Proven experience building and operating systems on Microsoft Azure, • Solid experience working with SQL in large-scale production environments, • Experience working on complex, long-lived platforms rather than greenfield only, • Strong problem-solving and analytical skills, • Pragmatic mindset with a focus on delivering value over over-engineering, • Comfortable working in Agile, product-led teams, • Strong communication skills, able to explain technical decisions and trade-offs clearly

Job Title: Forward Deployed Engineer Employment Type: Full time Duration: Permanent Location: London (Temple) – Hybrid 3 - 4 days in office Start Date: Immediate We are hiring a Forward Deployed Engineer with strong fundamentals and meaningful production experience. This is a Python-first role focused on building well-designed, reliable software. You will help evolve a proven prototype into a robust platform that operates cleanly across a range of client environments. Our systems transform unstructured contractual documents into structured, machine-readable data. The work sits at the intersection of data engineering, system design, and practical MLOps. The emphasis is on writing clear, maintainable code, building stable pipelines, and ensuring predictable, observable behaviour in production across client environments. What You’ll Do • Build code that gets deployed across multiple client environments and keep it consistent, stable, and easy to update., • Communicate clearly with both technical and non-technical stakeholders about system behaviour, trade-offs, risks, and timelines., • Build and maintain production-grade Python services for document ingestion, transformation, and structured output., • Design components and pipelines that are modular, testable, and straightforward to operate., • Work with the Head of Product to develop a clear, maintainable architecture for the core platform., • Work inside client systems when needed, adapting deployments to cloud, hybrid, or on-prem setups., • Implement CI/CD pipelines, containerization, and automation to support regular releases., • Write solid tests, add validation checks, and maintain the systems that keep the platform stable between versions. Requirements • At least 3 years of experience building and operating production Python systems, with strong depth in the language., • Strong understanding of software architecture, testing, deployment, and monitoring, particularly in cloud environments such as AWS, Azure, or GCP., • Proven ability to write clean, modular, well-structured code that can be deployed, maintained, and extended across multiple environments., • Experience working with data pipelines or data model-driven systems in production, including versioning, validation, monitoring, and reproducible deployments., • Familiarity with MLOps practices as they apply to real production systems rather than research prototypes., • Experience working across cloud, hybrid, and on-prem environments, often within client-managed infrastructure for corporate customers., • Ability to operate effectively in ambiguous, client-driven environments, shaping work, proposing pragmatic solutions, and taking ownership end to end., • Strong communication skills, including the ability to present complex technical concepts clearly to non-technical clients and to work through evolving requirements in live engagements. Bonus Points • Past work shipping AI or data-heavy systems into production., • Background in small, product-focused engineering team., • Experience with semantic or graph technologies (RDF, JSON-LD, Neo4j, Neptune etc.)., • Exposure to ontology or schema alignment in complex domains.

We’re United Repair Centre (URC), and we’re on a mission to reshape the clothing industry by extending the life of clothing while putting people first. Our scalable repair approach and platform serves global brands, cuts textile waste, and puts craftsmanship and impact at the heart of the clothing industry, while creating meaningful jobs for people distanced from the labor market. We are now building our tech hub in Europe to scale our SaaS platform across brands and we’re looking for the right person to lead the way. Ready to Build the Platform That Repairs the Clothing Industry? About the job As URC’s full stack engineer, you will play a pivotal role in building our core technology ecosystem and scaling our SaaS platform from MVP to market leader. You’ll be involved in shaping and building our product end to end. From backend services to frontend features, your work will directly influence how our application looks, feels, and scales. • Design and build scalable backend services using Node.js, • Create clean, reusable frontend components with React and TypeScript, • Work closely with engineers, designers, and product owners to ship valuable features, • Turn business ideas into clear, well-structured technical tasks, • Suggest and drive improvements in architecture, tooling, and development workflows, • Take part in code reviews, documentation, and mentoring less experienced teammates, • Short term, still maintaining and minor iterations on the MVP based on Microsoft Power Platform Your Mission As full stack engineer, you will: • Work across both backend and frontend parts of the application, • Integrate with external APIs and third-party services, • Write code that’s easy to maintain, performant, and ready to scale, • Create unit and integration tests (Jest or similar), • Apply and promote best practices (SOLID, DRY, KISS), • Participate in Agile rituals and continuous delivery processes What You Bring • 2+ years of experience working with JavaScript/TypeScript in a full-stack role, • Solid experience with Node.js and Express.js, • Strong React skills and a good grasp of modern frontend patterns, • Experience with relational databases (PostgreSQL, MySQL, or similar), • Understanding of authentication and authorization (OAuth2, JWT), • Familiarity with cloud environments (Azure is a plus), • Comfortable using Git, Docker, and the Linux command line, • Basic knowledge of DevOps practices and CI/CD pipelines, • Good English communication skills, • Strong affinity for URC’s mission Bonus Skills • Experience with Azure DevOps or similar tools, • Awareness of security best practices and how to apply them What We Offer • A key role in a fast-growing, purpose-driven company, • Direct influence on our technology direction and team building, • A salary aligned with the market and our growth phase, • Flexible/remote working setup, • A well being programme and personal budget, • A culture where impact, autonomy and craftsmanship matter Apply for the job Do you want to join our team? Then we'd love to hear about you! Please before February 9th 2026. And please your this application form:

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

Windows Infrastructure Engineer (Platform Operations) | Up to £650 Outside IR35 | 6 Months | 3 days p/week in London | Azure, VMs, Windows Infrastructure, Routing, Networking, Meraki Switches, Saas. I’m working with an InsurTech client that’s looking for a Platform Operations Engineer to join their team on an initial 6-month contract. They’re seeking someone with a strong Windows Infrastructure background who can operate within a Platform Operations function while also bringing project management capability. You’ll help plan and roadmap projects, coordinate resourcing, and act as a bridge between the technical teams and the wider business. This role is semi-technical: you’ll handle smaller hands-on tasks yourself, while also scoping and prioritising larger pieces of work for engineers. Key Skills & Experience: • Traditional Windows Infrastructure Engineering, • ITIL / Project Management knowledge, • Virtualisation & VMs, • Strong Cloud experience with Azure, • Routing & Networking, • Meraki Switches, • Cato Networks, • SaaS Firewalls, • Active Directory, • Strong communication and stakeholder management, • Ability to prioritise workloads and support project planning Details: • 3 days per week in the office, • Up to £650 p/day, outside IR35, • 6-month initial contract Windows Infrastructure Engineer (Platform Operations) | Up to £650 Outside IR35 | 6 Months | 3 days p/week in London | Azure, VMs, Windows Infrastructure, Routing, Networking, Meraki Switches, SaaS, ITIL.