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Aristocrat is thrilled to provide an outstanding opportunity for a Senior Enterprise Cloud Engineer to join our dynamic and innovative team. As a senior member of our technical staff, you'll play a crucial role in crafting the future of our multi-cloud environment. At Aristocrat, we believe in pushing boundaries, and your expertise will be crucial in driving our enterprise IT strategy, ensuring our infrastructure is secure, scalable, and resilient. This role is ideal for an ambitious leader who excels at solving complex challenges and mentoring others to achieve world-class results. What You'll Do • Lead Enterprise Cloud Strategy: Guide multi-cloud strategy development as senior technical advisor to Cloud Advisory Council, Cloud Center of Excellence, and executive leadership., • Compose and Build Enterprise Solutions: Coordinate the setup of reliable cloud systems on AWS, Azure, and GCP in line with business needs and governance standards., • Elevate Infrastructure as Code (IaC) Techniques: Set and maintain IaC protocols organization-wide, employing high-level expertise in Terraform for the management of sophisticated cloud resources at an enterprise level., • Coordinate and Regulate Containerised Workloads: Lead the deployment, scaling, and overseeing of vital containerised applications with Kubernetes on a large scale within the organization., • Lead Security and IAM Governance: Architect and enforce Identity and Access Management (IAM) governance frameworks and standard methodologies across the entire cloud and corporate infrastructure., • Automate at Scale: Develop advanced automation and CI/CD pipelines that streamline the software development lifecycle, focusing on reducing manual toil and growing operational efficiency., • Proactive Monitoring and Financial Governance: Implement proactive monitoring strategies for performance, security, and cost optimization. Lead cost management initiatives to ensure financial efficiency., • Influence, Mentor, and Innovate: Mentor junior and other senior engineers, lead cross-functional collaboration, and drive knowledge-sharing initiatives to elevate the technical capabilities of the entire organization. What We're Looking For • Extensive Knowledge Across Multi-Cloud Platforms: Demonstrated, expert-level proficiency in crafting, developing, and deploying intricate, large-scale solutions across AWS, Azure, and GCP., • Expert-level Proficiency with Terraform: Demonstrated ability to develop, implement, and oversee intricate IaC patterns at an enterprise level using Terraform., • Advanced Container Orchestration: Extensive experience with Kubernetes and containerisation technologies like Docker., • IAM and Security Expertise: Extensive knowledge of IAM principles, security guidelines, and enterprise identity management solutions, specifically with Okta or similar platforms., • Proven Leadership and Mentorship: A track record of leading complex technical projects and mentoring teams within a large organization. • Architect-Level Certifications: Holds multiple relevant professional certifications, such as AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, or Google Professional Cloud Architect. • Extensive Background: Over a decade of advancing expertise in cloud engineering, including substantial tenure in a senior or lead architect position. Join us at Aristocrat and become part of a team that is spearheading innovation and excellence in cloud engineering. This is your chance to define a significant impact and advance your career in an encouraging, inclusive, and forward-thinking setting. We are eager to see what you'll accomplish with us! Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V * World Leader in Gaming Entertainment * Robust benefits package * Global career opportunities Our Values * All about the Player * Talent Unleashed * Collective Brilliance * Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Job Description Job Title : Electrical Engineer Working Pattern : Hybrid - 3 Days a week in the office Working location : Bristol Why Rolls-Royce? We have an exciting opportunity for an Electrical Engineer to work within Rolls-Royce Power Systems (RRPS) in Bristol. Specifically, an Electrical Engine

🔧 Senior Power Electronics Engineer – Electronics | Complex Systems | West London (Hybrid) I’m working with a long-established, high-technology engineering organisation that designs and manufactures advanced electronic systems for demanding environments. They’re looking to add a Senior Power Electronics Engineer to their expanding team — someone who thrives on solving complex design challenges and delivering robust, high-quality solutions. What you’ll be doing: • Leading electronic design projects from concept through to production, • Developing reliable and efficient control and power circuitry, • Supporting new product introduction and continuous improvement initiatives, • Acting as a technical authority and mentor within the engineering team, • Collaborating closely with multidisciplinary teams across design, production, and test What you’ll bring: • Degree or equivalent experience in Electronics or Electrical Engineering, • Proven experience in circuit design for complex systems, • Experience in a senior capacity in a Power Electronics position, • Elegibilty for Security Clearance This is a great opportunity to join a respected organisation known for its technical excellence, stability, and career development opportunities.

📍 Location: London (3 days a week onsite) | 💰 Up to £80,000 per annum We’re looking for a Senior Backend Engineer to join a high-impact product team shaping the future of travel loyalty experiences. You’ll help design and build scalable backend systems that power a seamless journey for millions of travellers around the world. What You’ll Be Doing • Design and implement APIs and core backend services., • Develop business logic and data models that directly influence user experience., • Build and enhance new product features used by thousands of travellers daily., • Collaborate closely with product managers, designers, and cross-functional teams., • Deliver production-quality code with strong testing, documentation, and monitoring., • Provide technical mentorship and contribute to engineering best practices., • Advocate for new tools, technologies, and frameworks to drive innovation. What We’re Looking For • 5+ years of experience in backend software development with strong CS fundamentals., • Proven experience designing and developing APIs and distributed systems., • Strong sense of ownership with a focus on performance, reliability, and maintainability., • Excellent communication and problem-solving skills., • Experience working in fast-paced, product-driven environments., • Proficiency in Java, with exposure to AWS, Spring Framework, and Hibernate (or similar ORM tools) highly desirable. Join a collaborative, forward-thinking engineering team where your work has a tangible impact on user experience and product innovation.

Elixir Engineer London, UK (Hybrid – 3 days per week on-site) Contract (£500-650 outside)About the Role Join a fast-growing AI technology firm in London as an Elixir Engineer, building large-scale, data-driven systems that power intelligent automation and machine learning. You’ll work on high-performance backend services and APIs using Elixir/Phoenix, collaborating closely with data and DevOps teams in a technical, engineering-led environment.Key Responsibilities • Develop and scale backend systems and APIs in Elixir, • Design distributed, high-throughput services and real-time infrastructure., • Proven experience with Elixir (3+ years), • Familiar with PostgreSQL, Kafka/RabbitMQ, Docker, and AWS/GCP., • Great communicator who thrives in collaborative hybrid teams.

🚀 Senior Backend Software Engineer – London (Hybrid) | Equity + Competitive Salary Join a fast-growing AI startup transforming a trillion-pound industry through intelligent automation. We’re building the next generation of workflow technology - streamlining complex, manual processes and empowering professionals to focus on the work that truly matters. If you love solving deep technical problems, shaping architecture, and seeing your code have a real-world impact, this is a chance to build something meaningful from the ground up. 💡 The Role We’re looking for a Senior Backend Engineer to take ownership of key backend services that power our AI-driven platform. You’ll work closely with product, frontend, and AI teams to design, build, and scale backend systems that handle large-scale data, complex workflows, and real-time interactions. You’ll join a small, high-calibre team where your ideas genuinely shape the direction of the product and the company. 🔧 What You’ll Be Doing • Architect, design, and build backend applications using Node.js (TypeScript) and NestJS., • Develop microservices and event-driven systems with asynchronous communication patterns., • Write clean, maintainable, and well-tested code (unit + integration)., • Design and optimise RESTful APIs with a strong focus on performance, reliability, and security., • Model and query data efficiently with MongoDB (or similar NoSQL databases)., • Deploy and manage services on Google Cloud Platform (GCP) using CI/CD pipelines (GitHub Actions)., • Troubleshoot and tune performance across distributed systems., • Collaborate in an agile environment, contributing to design reviews, planning sessions, and team discussions. 🧠 What We’re Looking For • 2+ years of professional backend development experience (preferably with Node.js + TypeScript)., • Strong grasp of asynchronous programming, microservices, and event-driven architectures., • Solid understanding of testing, CI/CD, and cloud deployment workflows., • Practical experience with MongoDB or similar NoSQL databases., • Problem-solver with strong communication skills and a collaborative mindset., • Bonus: experience with message queues (Kafka, RabbitMQ), observability tooling, or DevOps-style environments. 🌟 Why You’ll Love It Here • Impact & Ownership — You’ll own core backend systems and shape architectural decisions., • Modern Tech Stack — Node.js, TypeScript, NestJS, MongoDB, GCP, CI/CD., • Equity + Competitive Salary — Get rewarded for the value you help create., • Collaborative Culture — Work alongside passionate engineers, product thinkers, and AI specialists., • Mission-Driven — Help transform a traditional industry through automation and intelligent systems., • Hybrid Model — Based in London with flexibility to work remotely several days a week. If you’re excited by building elegant systems that make a tangible difference — and want to grow in a fast-moving, high-ownership environment — we’d love to hear from you. 📩 Apply now by sending a CV to

🚀 Build agentic systems for the world’s biggest banks | Senior TypeScript Engineer | Hybrid With the new year just around the corner, is now the right time to jump ship? You would get the chance to join a fast-growing fintech that is building an agentic process automation platform used by major UK banks to transform how regulated financial institutions operate. Backed by leading VCs and fresh off a >$10 million seed round, the team is scaling its engineering function by 6 before Q2 2026. Their core platform automates complex, policy-controlled workflows delivering fully auditable, autonomous decisioning for banks. The environment is fast, outcome-driven, and highly collaborative, with engineers owning problems end-to-end across product, backend, and infrastructure. The role They’re hiring Senior Full-Stack Engineers (backend-leaning, ~65/35) to help scale intelligent, high-performance systems across: • Node.js, TypeScript, GraphQL, • AWS serverless architecture, • React (supporting product UI work), • Postgres, Redis, and modern tooling, • You’ll have significant ownership, working directly with founders and product to design and ship features that solve complex operational challenges for enterprise clients. Why this is a standout opportunity • High ownership in a >20-person team, • Strong enterprise traction (multiple major UK banks), • Hybrid: 2 days/week on-site in London, • Competitive salary + meaningful equity, • Flexible hours, learning & wellbeing budgets, • Annual international off-sites If you’re excited about building scalable, intelligent systems that will power the next generation of banking automation, this could be a great fit. Send over a copy of your most recent CV, don't worry if i's not up to date, we can work on that further down the line.

Forward Deployed Engineer - Early-Stage AI Start-Up - London Forward Deployed Engineer required for well backed, fast paced, early-stage AI start-up in London to build and deliver systems for customers that provide value from day one. You won’t just write code, you’ll work directly with users, influence product direction, and shape the culture of a fast-moving AI company from the earliest days. You are an exceptional, language agnostic engineer with strong communication skills who thrives in customer-facing environments. About you: • 1-5 years of Software Development in Python, Go, TypeScript, Java, Rust or C++, • Comfortable working across the stack, • Exceptional communication skills, • Customer-obsessed: you enjoy being in the room, asking questions, and solving real-world problems, • Excel where speed and ownership matter, • In office by default You will: • Collaborate directly with customer stakeholders, from engineers to executives, • Build and maintain systems that power mission-critical workflows and enable fast, reliable onboarding, • Deliver accurate analytics and actionable insights to customers and internal teams, • Drive continuous platform improvements based on real customer feedback Why Join? • Opportunity to join something huge from the early days and have a real impact, • Massive ownership: influence product, culture, and technical architecture, • Direct access to customers, your work will hit production fast, • Competitive salary and meaningful equity in a rapidly growing company If you want to build real AI systems that deliver immediate impact, lets chat. Forward Deployed Engineer - Early-Stage AI Start-Up - London

Python Developer/ Backend Developer/ Senior Software Engineer - AI Startup (London, Hybrid) Location: London (Hybrid – 1 day per week in office) Package: £70k–£100k + equity We are partnered with a fast-growing AI startup building a cutting-edge product that redefines what’s possible in engineering. To accelerate their growth, we’re looking for a talented Python Developer / Software Engineer to join our London team and help build scalable, production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python, • Develop and optimize APIs, data processing pipelines, and integration layers, • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer / Software Engineer, • Strong Python skills with experience in frameworks such as FastAPI, • Solid understanding of software engineering principles and design patterns, • Strong foundation in Computer Science (BSc/MSc from a top university), • Desirable: experience with AWS, frontend skills, • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact, • Collaborate with world-class engineers and ML researchers, • Hybrid model, 1-2 days a week in our London office, • Competitive salary + equity

About the Job Staff Software Engineer Hybrid – 3 days a week in Central London Up to £120k + bonus + equity (or open to contract) Robotics / Automation / Life Sciences We’re working with a cutting-edge company at the intersection of robotics, software, and life sciences. Their mission is to build the engine that powers the next generation of automated labs transforming how experiments are run and accelerating scientific discovery at scale. This is a chance to join a small, high-calibre engineering team working on systems that literally help save lives. About the Company • Building next-gen lab automation platforms used in research and diagnostics, • Combining robotics, software, and data to automate experiments end-to-end, • Backed by tier-1 investors and partnering with leading pharma and biotech companies, • Engineering-first culture with deep technical challenges, • Operating at the intersection of hardware, software, and AI What You’ll Be Doing • Designing and building high-performance, real-time backend systems that power automated lab operations, • Working with Python and high-performance languages to develop scalable, fault-tolerant distributed systems, • Deploying services across cloud, bare-metal, and edge environments, • Collaborating closely with robotics, platform, and data teams, • Driving architecture, design, and performance improvements across the stack What We’re Looking For • Strong backend engineering experience in Python plus one high-performance language (C++, Rust, or Go preferred), • Proven experience building distributed or real-time systems at scale, • Familiarity with cloud-native systems (AWS, GCP, or Azure), • Bonus points for experience in robotics, IoT, or automation environments, • Strong problem-solving mindset and a desire to work on technically complex, impactful products Why Join? • Build systems that enable faster drug discovery and better diagnostics, • Work with elite engineers on bleeding-edge robotics and automation tech, • Shape the technical direction of a high-impact product, • Competitive salary and equity package, • Option for contract or permanent engagement Please apply or email your CV to to hear more

AI / Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer, you’ll design the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll Do: • Build Agentic Systems – Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously., • Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding., • Design Scalable Frameworks – Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration and feedback loops., • Collaborate with Research Teams – Translate experimental findings into production-grade systems that extend the autonomy and reliability of agents., • Run Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: • 4+ years’ experience in Machine Learning or AI, with exposure to LLM agent systems, tool-use frameworks, or generative AI., • Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow., • Hands-on experience developing or fine-tuning LLaMA, GPT, or similar foundation models., • Understanding of agentic architectures, chain-of-thought reasoning, and memory/reflection mechanisms., • Proven ability to debug, optimise, and scale ML experiments and compute pipelines., • MSc or PhD in AI, Computer Science, or related field. Bonus Skills: • Research track record (papers, open-source, Kaggle)., • Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: • Competitive Rates (Outside IR35), • 6–12 months (with likely extension), • Remote – UK based Please apply for immediate consideration.

This is a rare chance to join a startup at the very beginning - where your curiosity, ideas, and input will directly influence the product roadmap. You’ll be working closely with a small, experienced engineering team, building real features in a modern frontend codebase from day one. We’re using modern technology stacks across our infrastructure and frontend, and AI-assisted tooling to move fast and stay focused - and you’ll be an integral part of shaping both the user experience and the engineering foundations as we scale. As a Product Reliability Engineer, you’ll sit at the intersection of software, hardware, and field performance - helping ensure that what we ship works flawlessly in the real world, not just in simulation. You’ll design and run hands-on test scenarios, from measuring battery life and thermal performance to validating cellular, Wi-Fi, and GPS behaviour and develop automation that keeps our testing fast, repeatable, and data-driven. This is a role for a curious builder: someone who’s as happy wiring up a Raspberry Pi to control a test rig as they are writing Python scripts to process test results. Responsibilities • Design and execute system-level tests covering power consumption, network connectivity (cellular, Wi-Fi, GPS), audio/video performance, and environmental conditions., • Meticulously hunt for product bugs and vulnerabilities, defects in functional usage, security penetration, making sure the end-to-end solution excels at scale., • Formulate a test strategy and futureproof test coverage across a large and evolving feature set., • Build and maintain hardware-in-the-loop test rigs, using things like Raspberry Pis, microcontrollers, programmable power supplies, and sensors to measure and automate test cycles., • Develop lightweight automation (e.g. in Python, Bash, or Go) to coordinate tests, capture logs, and visualise results - scaling manual insights into repeatable processes., • Simulate intense, large-scale usage to find breaking points and ensure our systems are resilient, reliable, and ready for primetime., • Work with hardware, firmware and cloud teams to validate end-to-end reliability across device, app, and backend systems., • Simulate real-world operating conditions (e.g. variable signal, heat, or motion) to uncover intermittent or long-duration faults., • Document findings and edge cases clearly, collaborating with engineers to fix root causes and improve design robustness., • A solid foundation in PRE (product reliability engineering), and test, through strong academic study, or hands-on projects., • Practical experience in testing hardware and software systems, embedded devices, or IoT products - ideally including power and connectivity testing., • Comfortable building simple test fixtures using Raspberry Pi, Arduino, or similar platforms., • Some scripting or automation ability (Python preferred), with interest in scaling manual tests., • Curiosity about how things work (and break), with a structured and methodical approach to experimentation., • Familiarity with video/audio systems, sensors, or networking technologies is a plus., • Enthusiasm to learn - we value resourcefulness and initiative over ticking every box., • Interest in modern technologies (e.g. Vue, React, TypeScript, Go, Python), and working with video and audio technologies., • An eagerness to get your hands dirty, test products to their absolute limits, and rapidly accelerate your skills in a fast-paced startup environment., • Great communication and a collaborative approach to working with others., • A natural knack for finding edge cases and a genuine passion for understanding how things work (and how they break!). Mayflower is acting as an Employment Agency in relation to this vacancy.

Java Software Engineer We’re looking for a Junior Java Engineer to join our Fintech clients growing development team. This is a fantastic opportunity to work alongside experienced engineers, quants, and traders — designing and building high-performance systems that directly impact our trading strategies. What You’ll Do • Develop, test, and maintain Java applications that power our trading infrastructure., • Collaborate with senior engineers to enhance system performance and reliability., • Participate in code reviews, pair programming, and agile development processes., • Work closely with traders and data analysts to understand real-world requirements and translate them into elegant technical solutions. What We’re Looking For • Solid understanding of Java and core computer science principles (data structures, algorithms, OOP)., • Strong problem-solving skills and attention to detail., • Eagerness to learn about trading systems, low-latency development, and financial markets., • Experience with data analytics tools or frameworks (Python, SQL, Pandas, etc.) is advantageous but not essential., • A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Why Join Us • Work in a dynamic, high-impact environment where your code matters from day one., • Learn from some of the brightest minds in finance and technology., • Competitive salary and performance-based bonuses., • Opportunities for career growth, mentorship, and technical development., • Modern hybrid working model and a collaborative office culture.

Senior Product Engineer (Backend) – AI-Native SaaS Platform | Tripled ARR in 12 months Remote-first (UK) with hybrid London office option Up to £130,000 + equity Typescript/Node, React, GCP/AWS Senior Product Engineer - We’re working with a rapidly scaling AI-native SaaS company who raised an impressive Series B round in 2025. Their platform is redefining the sector, and with revenues tripling in the last year to over $12m ARR, they’re now expanding their Engineering team to match the ambition of their product and customers. The Senior Product Engineer As a Senior Product Engineer, you’ll be at the heart of designing, building, and scaling backend systems that power a complex, AI-driven product. You’ll work across the stack with a focus on backend engineering, solving challenging technical problems while shaping the product experience for thousands of users. What will the Senior Product Engineer do? • Contribute across the stack (Node.js/Typescript, GCP), with a strong focus on backend systems, • Design scalable architectures and APIs to support rapid product growth, • Lead end-to-end feature development, from concept through to release, • Champion engineering best practices and bring new ideas to the table, • Collaborate closely with Product and Design teams to build seamless user experiences What will the Senior Product Engineer bring? • Strong backend development expertise with Node.js and Typescript, • Experience designing secure, scalable backend systems (authentication, data pipelines, APIs), • Familiarity with modern cloud infrastructure (GCP or AWS), • Ability to communicate technical ideas clearly and influence team direction, • A passion for building high-quality products that customers love This is an amazing opportunity for an Senior Product Engineer to join a fast-growing scale-up as they take the next leap in their journey. Please reply with your CV of call Simon for a chat. Senior Product Engineer (Backend) – AI-SaaS Platform | Tripled ARR in 12 months Remote-first (UK) with hybrid London office option Up to £130,000 + equity Typescript/Node, React, GCP/AWS

Attribution Search is partnering with a leading Multi-Strat Global Hedge Fund to hire a Production Engineer within its London office. The fund manages over $15bn with a long track record for stable, year-on-year performance. This is an opportunity to join a growing team, while working alongside senior partners who have been there since its launch. The Role: You'll join the fund's global technology team, where you will focus on the resilience, automation and observability of production systems that power a mission-critical quantitative trading platform. The role forms part of a follow-the-sun global support model. Primary Duties: • Build and maintain automated tools to support system deployments, monitoring, alerting, and operational workflows., • Monitor health of trading systems with a goal of proactive failure prevention., • Take ownership of, and improve incident response, root cause analysis, and blameless post-mortems., • Partner with developers to build scalable, testable, and efficient deployment pipelines., • Collaborate with trading, operations, and quant teams, as well as external vendors, to troubleshoot and optimise production environments Experience Required: • 3+ years’ experience in a production-facing engineering or reliability role within financial services or another high-availability technology environment., • Strong track record in automation, monitoring, and incident response for distributed or mission-critical systems., • Proficiency in scripting and systems programming., • Hands-on experience with configuration management, containerisation, and orchestration tools. Tech Stack + Tools: • Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash., • Infrastructure & Systems: Exposure to Linux and Windows environments, with working knowledge of Docker containers and AWS cloud services., • Monitoring & Observability: Familiarity with DataDog, Grafana, and other internal or custom monitoring solutions., • Automation & CI/CD: Experience using Git, TeamCity, and configuration management tools such as Ansible or Terraform., • Databases: Hands-on experience with Microsoft SQL Server and Snowflake. Candidates with relevant experience are encouraged to apply to find out more.

Platform Engineer Salary: £150,000 + Equity Location: London (3 Days in Office) & 2 Remote Be part of building a next-generation trading platform that redefines how compute power is valued and exchanged. Join us at the ground floor to design the core systems that power a new financial frontier. The Opportunity This early-stage start-up are on a mission to redefine how computational resources are traded and valued in global markets. Their team is building the systems that will power the next generation of trading infrastructure, combining deep financial expertise with cutting-edge cloud engineering. As part of a small, elite group, you'll help design and scale critical components that bridge technology and finance at a foundational level. This is a rare opportunity to shape both the product and the market from the ground up, alongside founders and engineers with a proven record of innovation. Every line of code you write will help build the future backbone of a new financial ecosystem. The Role and Responsibility They're looking for a hands-on platform engineer to help design, build, and scale the core systems of their trading platform. You'll take ownership of infrastructure on Google Cloud Platform, manage Kubernetes deployments, and expand their environment using Terraform and infrastructure-as-code best practices. The role also involves contributing to backend development in Python with PostgreSQL, ensuring performance, reliability, and scalability across all layers. They're seeking someone with experience building complex, mission-critical systems, ideally within financial services or high-growth B2B SaaS. Familiarity with trading platforms or modern DevOps environments is a strong plus, along with a builder's mindset and readiness to shape a product from the ground up. Interview Process: 4 Stages • 45 Minute Initial Interview (Virtual), • Technical Interview In Person (2 Hour 45 Minutes), • 2 Hour Deeper Dive Technical Interview

Data Engineer Salary: Up to £60,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Microsoft Fabric and Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: • Building and managing data pipelines using Microsoft Fabric, OneLake, and Azure Data Factory., • Designing scalable data solutions and models for reporting in Power BI., • Supporting data migration from legacy systems into the new platform., • Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: • Strong, commercial experience with Microsoft Fabric, • Hands-on experience with Azure data services including Synapse and Data Factory., • Reporting experience with Power BI, • Strong SQL skills Some of the package/role details include: • Salary up to £60,000, • Hybrid working model (once per week in London), • Pension scheme and private healthcare options, • Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I’ll be in touch to discuss it further.

Cantor Fitzgerald’s Global Information Security team is seeking an Information Security Operations Engineer with background and knowledge of Linux systems and Cloud infrastructure. The successful candidate will need to be able to work in a fast-paced environment, planning, coordinating, and executing all facets of our program and will play a critical role in detecting, responding to, and mitigating security threats across enterprise environment. Responsibilities will include: • Monitor, analyze, and respond to security events and incidents using SIEM and other security tools., • Develop and maintain detection rules, playbooks, and automation scripts to improve incident response efficiency., • Perform threat hunting and forensic investigations across IT environment., • Collaborate with infrastructure and application teams to ensure secure configurations and compliance., • Maintain and improve endpoint protection, intrusion detection/prevention systems., • Document incident response procedures and contribute to post-incident reviews., • Create network diagrams and as-built documents., • Develop and maintain a strong partnership with relevant global businesses and technical leaders and teams, including 3rd parties and affiliate businesses., • Stay current with emerging threats, vulnerabilities, and security technologies. Qualifications and Skills: Education • Bachelor's Degree in MIS, CIS, Cybersecurity or similar., • At least five years of Security Operations., • At least three years of Linux Administration., • At least two years of Cloud (AWS or Azure) Administration. Must-Have Skills • Linux and Windows OS., • DNS., • Certificate Management: Digicert, AppViewX., • Experience with ticket management solutions: Dynamics 365, ServiceNow, Remedy, etc., • Experience with PMO tools such as Jira, Smartsheet, Monday.com, etc., • Microsoft O365 products (Excel, PowerPoint, etc.)., • SEIM and SOAR technologies (Splunk, Cribl, Azure Sentinel)., • Configure and troubleshoot EDR/ Microsoft Defender for Endpoint, vulnerability management, and threat detection systems, with focus on Linux OS., • Azure Security Center and Office365 Compliance Portal., • AWS and Azure (IAM, IaaS, PaaS)., • Knowledge in KQL queries in Sentinel and/or SPL in Splunk for developing use cases, dashboards, custom rules, custom parsers., • Intermediate Understanding of services and protocols commonly used in hosting environments: web servers, database servers, active directory protocols., • Understanding of network packet analysis using tools such as Wireshark and TCPDump., • Collaboration and communication skills across multiple teams and businesses. Good-to-Have Skills • Relevant certifications such as AWS Security Specialty, CISA, CISM, GIAC, Security+, or CISSP., • Palo Alto Firewall, F5 LTM/GTM., • Palo Alto Cortex suite of tools., • Network technologies: switching, routing, wireless., • PowerShell and Python Scripting., • Power BI and Power Automate., • Integrating security systems via API, etc.

Machine Learning Research Engineer About Us We’re Unitary, a fast-growing AI startup building Virtual Agents that combine deterministic code, LLM reasoning, and human expertise to automate complex operational workflows. Our technology powers trust & safety systems at scale, analysing millions of images and videos daily for enterprise customers. Backed by Creandum and Plural, with over $25M raised, we’re scaling rapidly and shaping a future where AI can make safe, fair, and reliable decisions online. The Role We’re looking for a Machine Learning Research Engineer to pioneer how Virtual Agents are built, deployed, and scaled. You’ll design an “Agent Factory” — a system that can automatically generate agents from captured workflows, combining the speed of code with the reasoning power of AI. Working closely with platform and ML teams, you’ll research, prototype, and productionise capabilities that let AI autonomously build reliable software workflows. What You’ll Do • Design and build the Agent Factory to generate and deploy Virtual Agents, • Develop code-generation and evaluation frameworks for workflow automation, • Integrate LLM-based reasoning with deterministic Python systems, • Benchmark and iterate on automation quality through experimentation, • Collaborate with engineers and customer teams to deploy at scale, • Contribute to Unitary’s ML research community and technical direction About You • Expert in Python and experienced with LLMs, Agentic AI, or code-generation systems, • Strong engineering fundamentals (software design, testing, DevOps, MLOps), • Curious and inventive — comfortable moving between research and implementation Why Unitary • Remote-first across Europe/North America, • Competitive salary + equity, • Flexible hours and generous parental/sick leave, • Annual budgets for learning and wellbeing, • 3 annual team off-sites in London or Europe Join us to push the frontier of agentic automation — where AI learns to build and operate systems that make the internet safer.

Founding Software Engineer — AI & Intelligent Automation • Shoreditch, London (On-Site, 5 Days a Week), • £100 - £130K basic + meaningul equity, • Backed by the biggest name in AI Investment, • $6M of recent funding, • Already over 3000 customers within 18 months of being founded (Circa $2.5m ARR), • Very quick feedback and process! About the Company An AI company on a mission to build autonomous digital teammates that take on complex workflows end-to-end — helping people focus on higher-value creative and strategic work. Backed by top-tier investors, we’ve experienced rapid growth over the past year and are now scaling our engineering team to power the next wave of innovation. Our culture values hands-on collaboration, experimentation, and fast iteration. We operate fully in-office from our Shoreditch HQ, where engineers, researchers, and product leaders work side-by-side to push the boundaries of what’s possible with AI. About the Position We’re hiring a Founding Fullstack Software Engineer who’s excited about blending solid product engineering with applied AI research. You’ll work closely with product and research teams to design, prototype, and launch intelligent automation tools and AI-driven products. This position offers a front-row seat to cutting-edge developments in large language models, system design, and human–AI interaction. You’ll gain hands-on experience designing production systems that combine advanced model intelligence with intuitive, user-focused interfaces. What You’ll Do • Design, build, and iterate on fullstack systems that power AI-driven automation., • Explore and evaluate new approaches in AI orchestration, prompt design, and model integration., • Collaborate with product and design teams to improve user experience for technical and non-technical users., • Contribute to team-wide learning through documentation, technical reviews, and experimentation., • Participate in brainstorming sessions, deep dives, and peer code reviews. What We’re Looking For • Someone who has ridden the "start-up" wave, from growth in headcount, funding, or ARR!, • 1.5+ years of experience in a full-stack or product-focused software engineering position., • Strong proficiency with TypeScript, React, Next.js, and Node.js (or similar frameworks)., • Comfortable in fast-moving environments with evolving priorities and ambitious goals., • Curious, resourceful, and eager to learn about emerging AI technologies., • Bonus: experience with large language models, AI frameworks, or prompt engineering. £100 - £130K basic + meaningul equity

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities • Build, deploy and maintain machine learning models as APIs, streams, and batch services, • Partner with Data Scientists to industrialise prototypes into production-ready applications, • Lead on observability, CI/CD automation, and monitoring for ML workflows, • Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform, • Contribute to shared ML tooling and experimentation platforms, • Ensure best practices in model testing, rollback, and deployment hygiene, • Work across technical and compliance teams to ensure governance and risk controls Requirements • 3–5 years’ experience in machine learning engineering and/or applied data science, • Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.), • Strong Python coding skills for production systems, • Proven experience deploying models in real-world environments (API, batch, streaming), • Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes), • Experience working in cloud environments (AWS preferred; Terraform a bonus), • Strong communication skills and interest in the latest ML/AI developments, • Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Data Engineer - sports analytics/betting Salary £50k-£65k (plus very lucrative bonus on top) Location: London or Leeds (very relaxed about hybrid/remote working) Company description We are a proprietary sports pricing and product provider, specializing in the development of intricate, simulation-driven pricing and risk systems that empower leading sports brands. As pioneers in player-level, play-by-play simulations and forecasting, we deliver the group’s most advanced pricing and risk capabilities - particularly focused on the US market. Job description The purpose of this role is to implement and maintain data infrastructure that facilitates data-driven decision making, innovation and operational efficiency while ensuring that the data pipeline is secure, reliable, and scalable. The role holder will build and maintain high-performance data systems that are foundational to driving business growth and success. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash (or similar). Key responsibilities • Design and implement scalable data architectures and systems to support business intelligence and analytics needs., • Develop, optimize, and maintain ETL pipelines for efficient data integration and transformation., • Oversee data storage solutions, including backup and recovery strategies to ensure data integrity and availability., • Write and manage SQL queries to extract, manipulate, and analyze data for reporting and decision-making., • Implement robust data security and privacy protocols in compliance with relevant regulations and best practices., • Collaborate with clients and end users to gather requirements, provide updates, and deliver tailored data solutions. Qualifications • Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases., • Understanding of data modelling concepts and be able to design data models that are optimised for different user cases., • Familiarity with SQL and experience working with and designing relational databases., • Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms., • Ability to debug and optimize failing or slow data pipelines and queries., • Systems integration experience: networking, data migrations, API integration and design., • Enthusiasm for clean systems, including documentation, logging, and reproducibility., • Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch., • Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations., • Passion for TDD.

Senior Python Engineer Salary: Pays up to £85,000 Location: London (2 Days in Office) Join a high-performance engineering team redefining how global systems fight fraud at scale, where you'll architect resilient solutions, shape technical direction, and mentor others to deliver mission-critical impact with performance, reliability, and simplicity. The Opportunity Step into a pivotal role where your engineering expertise shapes the future of digital integrity. As a Senior Engineer, you'll design and deliver high-impact, cross-service features that power a cutting-edge platform used by global customers. You'll have the freedom to make architectural decisions, drive performance and reliability improvements, and mentor talented engineers across a collaborative, high-growth environment. This is your chance to work on complex challenges at scale, using modern technologies to solve real-world problems with measurable impact. If you're ready to build, lead, and innovate at the forefront of technology, this is where you make your mark. Roles and Responsibilities In this role, you'll take ownership of designing, building, and operating scalable backend systems that power a global, data-driven platform. You'll lead the delivery of complex, cross-service features, shaping architecture, improving performance, and ensuring reliability across the stack. Collaboration is key as you work closely with Product, Data, and Design to translate ambitious ideas into resilient, production-ready solutions. You'll also mentor engineers, set quality standards, and champion best practices in testing and security. Our modern tech stack includes TypeScript, Node.js, Python, PostgreSQL, AWS, Docker, and Kubernetes, giving you the tools to innovate and deliver impact at scale. Interview Process: • 30 minute introductory meeting, • Technical challenge, will include a shared screen session to write code

Forward Deployed Engineer - Palantir - London - Hybrid - £50,000 - £75,000 My client are a rapidly growing company in the B2B Software as a Service (SaaS) space. This client are looking for a Data Engineer to join their expanding team in London. They believe the future of B2B SaaS is about delivering tailored, dynamic solutions for their clients, rather than implementing static tools. This is where you come in - you'll be working within a team who believe value is created not just in the codebase, but in the implementation layer - making this role ideal for someone who thrives in dynamic, customer-facing environments. Salary and Benefits • Salary of £50,000-£75,000 + share options, • Hybrid working: 2-3 days per week in London office, • 25 days annual leave plus bank holidays, • Strong pension scheme, • And many more Role and Responsibilities • Adapt and deploy a powerful data platform to solve complex business problems, • Design scalable generative AI workflows using modern platforms like Palantir AIP, • Execute advanced data integration using PySpark and distributed technologies, • Demonstrate high level of technical programming proficiency in SQL and Python, • Collaborate directly with clients to understand priorities and deliver outcomes Requirements • Strong skills in PySpark, Python, and SQL, • Ability to translate ambiguous requirements into clean, maintainable pipelines, • Quick learner with a passion for new technologies, • Experience in startups or top-tier consultancies is a plus Nice to Have • Familiarity with dashboarding tools, Typescript, and API development, • Exposure to Airflow, DBT, Databricks, • Experience with ERP (e.g. SAP, Oracle) and CRM systems If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at or you can call me on 0191 300 1232. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Senior Backend Engineer (Telco Integration Lead) We are seeking a deeply technical and security-minded Senior Backend Engineer to join a newly-founded, high-impact AI joint venture. Backed by five of the world's leading telecommunications giants, our mission is to restore trust in global voice communication. This is not a standard backend role. We are seeking a foundational engineer to own our single greatest strategic asset: our unique, privileged access to network-level intelligence via the GSMA CAMARA API standard. This is our “right to win”, and you will be the engineer responsible for building the bridge to it. You will be the Critical Path Owner for Track Zero, the 30-day foundational sprint to validate and integrate the first-ever CAMARA-based signals (like sim-swap and device-roaming-status) from our telco founders. Your success is the Go/No-Go gate for our MWC 2026 launch. You will be directly responsible for building the “out-of-band” data path that enables our flagship Telco-Verified Security Shield and its sub-500ms “Time-to-Trust” metric, our core differentiator that no “over-the-top” competitor can replicate. This position offers a unique opportunity to define a new category of network-aware security, working directly with the world's leading carriers to turn their network data into a real-time defense against global fraud. Key Responsibilities Telco Integration & Architecture • Own and build the Security Signal Ingestion path, the secure, low-latency, and out-of-band data channel connecting to our founding members' network API gateways., • Architect and implement a carrier-agnostic, vendor-agnostic connector layer to consume RESTful APIs from a heterogeneous global landscape of telco partners and IMS vendors (e.g., Nokia, Ericsson, Mavenir)., • Serve as the primary technical liaison to the engineering teams at our telco founders (Deutsche Telekom, Singtel, SKT, etc.), working “hand-in-glove” to navigate, validate, and productionize their new CAMARA network APIs., • Design and build the high-throughput microservices that will query, ingest, normalize, and cache network signals (e.g., sim-swap, device-roaming-status) to be used in our real-time Scam_Score model., • Implement a mandatory Zero Trust security model for this critical integration, our most sensitive asset. This includes mTLS, least-privilege IAM, and network micro-segmentation. System Ownership & Performance • Serve as the Critical Path Owner for Track Zero, our 30-day sprint to validate and integrate real-time signals from at least two telco partners, culminating in a Go/No-Go demo., • Ensure all network API integrations meet the stringent P99 latency budgets (e.g., < 150ms) required to support our sub-500ms Time-to-Trust product goal., • Collaborate with the platform team to build a parallel development path using mocked data to mitigate risks of network API delays., • Define and own the data contracts and pipelines that feed this "ground-truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration • Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models., • Partner with product and leadership to define the Phase 2 (post-MWC) roadmap for co-developing new, proprietary network APIs (like Caller_Velocity from CDRs) that will become our long-term, indefensible moat., • Document integration architectures, data schemas, and security controls to create setup guides for our Founding Member partners., • Collaborate with our external InfoSec vendor to ensure the integration layer is continuously validated and hardened against threats. Required Qualifications Education & Experience • Bachelor's degree in Computer Science, Engineering, or a related field., • 7+ years of hands-on experience in backend engineering, with a proven track record of building and maintaining high-performance, distributed systems in production. Required Technical Skills • A minimum of 5 years of production experience with Go (Golang). Experience in other languages (e.g., Python, Node.js) is valued, but will not replace this core Go requirement., • Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs., • Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker)., • Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs)., • Knowledge of (or deep, demonstrable curiosity about) telecommunications protocols and architectures. You must be comfortable talking to network engineers., • Experience with high-throughput messaging or streaming platforms (e.g., Kafka, Pulsar). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary is very much dependant on experience with a guide between £110k-£140K basic + package.

Job Title: Prompt Engineer / AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close partnership with leading global gaming brands such as NetBet, 777, and betFIRST. About Netbet Brand: Since 2006, NetBet has delivered the ultimate online casino and sportsbook experience for its players across the globe. Alongside sports betting and casino, players have also enjoyed Lotto, Live Casino, and Poker products. With access to multiple languages across all its registered markets, thousands of industry-leading casino games, and daily sports events, NetBet has evolved into one of the world’s favourite online gaming brands. NetBet provides users with a friendly environment, total security, and reliable navigation. Its features are recognised by flagship organisations specialising in regulating and controlling online gaming sites. To enrich player trust and protection NetBet has several gaming licences from across the world including MGA, UK, Germany, Denmark, Greece, France, Romania, and Italy. This ensures that NetBet operates in line with the rules and regulations of each jurisdiction and that players receive the best possible service. Role Overview: We are seeking an innovative and detail-oriented mid-level Prompt Engineer & AI Engineer to enhance our AI-driven applications. This role is crucial for designing, testing, and refining the prompts that power our large language models (LLMs) and for developing supporting Python-based tools, often within collaborative environments like Replit. The ideal candidate has a deep understanding of conversational AI, a creative mindset for problem-solving, and a strong commitment to the evolving field of generative AI. Duties and Responsibilities: • Design, build, test, and refine high-quality prompts to steer LLMs toward desired outputs and behaviors for key business applications., • Conduct thorough analysis of model responses and perform iterative prompt engineering to improve accuracy, tone, and overall performance., • Develop, test, and maintain Python scripts and applications, particularly within collaborative platforms like Replit, to support AI systems and streamline workflows., • Collaborate with product and engineering teams to integrate prompting strategies into user-facing features and backend systems., • Stay current with the latest advancements in prompt engineering techniques, LLM capabilities, and conversational AI research., • Play a key role in building and maintaining a centralized library of best-in-class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) • Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications., • Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications, with a strong portfolio of examples., • Python Proficiency: Strong command of Python and its use in interacting with APIs and building applications., • Collaborative Development: Experience using collaborative coding environments like Replit for rapid prototyping and team-based projects. Ideal Qualifications (Nice-to-Haves) • API Integration: Practical experience integrating with third-party APIs and services within AI workflows., • AI Frameworks: Familiarity with AI development frameworks such as LangChain or LangGraph., • Vector Databases: Understanding of or experience with vector databases (e.g., Pinecone, Weaviate) for managing embeddings., • Hybrid working [ 2 days in office/ 3 days remote], • Private Health Insurance, • Employee Wellbeing, • Learning and Development Programmes, • Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. For more information on how we protect your personal data and process your application, please see our Recruitment Privacy Notice.’

Technical Lead Are you looking for a role where you can define how things are built as well as build them? This is a chance to join a modern, mission-driven charity that’s scaling fast after a recent merger. You’ll work across cloud, software, and integrations to create the technical frameworks that power real-world impact. You’ll be the go-to technical voice for engineering and delivery, shaping how apps, services, and systems come together. It’s a varied role that mixes hands-on coding with architectural design and technical leadership. You’ll design and build modern environments, integrate multiple SaaS platforms, and help set the standards for how things are done across the organisation. You’ll work closely with a small team including a junior engineer and a DevOps-security specialist, mentoring through collaboration and example. Projects range from building new products to improving automation and shaping how new digital services are delivered. Two days each week are typically spent in the West London office, with flexibility for the rest of the week. The team is small, modern, and forward-thinking, offering real influence and variety in your work. Technology environment includes: Cloud and Infrastructure • AWS and cloud architecture, • Infrastructure as code using Terraform and CloudFormation, • Docker and Kubernetes, • Automation and CI/CD pipelines, • GitHub and GitHub Actions Software and Frameworks • React, Node, Next.js, Python, • API design and integration, • RESTful services and automation Data and Platforms • Salesforce, • Google Workspace, • Atlassian tools such as Jira and Confluence, • Databases including DynamoDB, MongoDB, and RDS Security and Identity • Okta and federated identity management, • Encryption and TLS, • Cloud posture and compliance best practice You’ll bring a broad technical background, strong problem-solving ability, and the confidence to define the right approach. If you enjoy combining coding, cloud engineering, and design thinking, and want a role with purpose, autonomy, and impact, then this is for you.

As an Application Support Engineer, you will act as the primary escalation point for complex technical issues that first-line support cannot resolve. This role bridges business and technology, maintaining live applications, ensuring integrations run smoothly, and driving ongoing improvements across all platforms. Our client's digital platforms help social care and health providers deliver compassionate, compliant, and effective care. As a trusted software service, they aim to empower care teams and raise standards within the care sector. The job: • Investigate, diagnose, and resolve incidents promptly within agreed timeframes, maintaining clear and friendly communication with all stakeholders., • Troubleshoot and analyse complex technical problems, collaborating closely with Level 3 Support and Engineering to find lasting solutions., • Manage escalation processes efficiently, ensuring timely cooperation with technical teams and keeping everyone informed., • Monitor live systems through alerts and dashboards to identify and resolve issues before they impact users., • Support integrations across platforms such as Salesforce, Pendo, Vonage, GoCardless, and Stripe, ensuring smooth data flow and service reliability., • Keep support documentation and playbooks updated, documenting recurring issues to streamline future resolutions., • Assist in release readiness, share knowledge, and help teams prepare for new features., • Create and update data reports and dashboards using Power BI, relational databases, and Salesforce to monitor performance., • Seek opportunities to improve processes and products, enhancing service efficiency and customer experience., • Provide advice on technical possibilities during project planning to ensure scalable, maintainable, and supportable solutions., • Support case management and collaborate with teams to deliver excellent service. The person we seek: • Technologically proficient with one year of experience in second-line software support., • Skilled in relational database systems such as MySQL and SQL Server, with an understanding of non-relational database concepts., • Knowledgeable in Mobile Device Management (MDM) systems, JIRA or similar Application Lifecycle Management (ALM) tools, and cloud hosting services, with a preference for Azure., • Familiar with Salesforce and strong understanding of Identity and Access Management (IdAM) principles., • Patient, friendly, and encouraging, actively fostering confidence and ongoing learning., • Excels in hybrid work environments by demonstrating strong self-management skills in both independent and remote settings., • Maintains a disciplined work pace consistently, ensuring reliability and dependability., • Communicates clearly and precisely, sharing detailed knowledge within areas of expertise. This is an early career opportunity with an annual salary of £27,000 to £30,000. Graduates with relevant degrees and proficiency in the noted technologies are encouraged to apply. Join this talented team in a full-time, permanent role offering flexible hybrid working options—work from home or on-site at UB11 1FW. Enjoy private healthcare, a company bonus scheme, free parking, and quarterly all-company events. A place where your skills are valued and you have opportunities to advance your career.

Our client, a leading High Frequency Trading Firm, is seeking a Senior Software Engineer to join their Core Systems team, responsible for building and maintaining the platforms that power research, trading, and infrastructure operations. This is a unique opportunity to work with world-class technologists in a fast-paced, data-driven environment where engineering excellence directly drives business performance. Key Responsibilities: • Design and develop reliable internal platforms and automation tools supporting trading and research functions. (80% of this role will be hands on core systems development, 20% Network/Linux work), • Improve developer productivity through build systems, CI/CD pipelines, and self-service tooling., • Enhance monitoring, alerting, and workflow systems to ensure operational resilience., • Collaborate across teams to deliver efficient, scalable infrastructure solutions. Ideal Background: • Strong programming ability in GoLang, C++ or Python., • Excellent understanding of Linux systems and TCP/IP networking fundamentals., • Experience building automation or internal developer tools adopted across teams., • Familiarity with CI/CD processes, Git, and modern development workflows., • Exposure to technologies such as Docker, Terraform, or scripting for infrastructure management is a plus. You’ll join an exceptional team operating in a collaborative, non-hierarchical environment where engineering talent is highly valued and innovation is encouraged. For a confidential discussion, please contact Rhys at

Senior C# Engineer | Renewable Energy Trading | £600-700 OUTside IR35 | 6 Months rolling | Hybrid (London) A Senior C# Engineer is required for a Renewable Energy Trading company that’s leading the charge in sustainable energy production, optimisation, and trading technology. With the UK committing over £24Bn to Renewable Energy, this is an opportunity to play a key part in the sector driving the UK’s energy transition. Our client is a fast-growing disruptor in the Energy Trading market, building cutting-edge trading systems that enable the efficient trading of renewable assets and power. As traditional fossil fuels are phased out, this company is pushing the boundaries of technology to accelerate the shift to clean energy. 💰 £600–700 per day | OUTside IR35 📑 6-month rolling contract 📍 Hybrid – 2-3 days per week, London ⚡Senior C# Engineer - Energy Trading experience required As a Senior C# Engineer, you’ll be working on the design and build of real-time trading and analytics platforms, leveraging microservices architecture and Azure cloud technologies to deliver highly scalable, performant, and resilient systems. You’ll collaborate closely with traders, data engineers, and DevOps specialists to deliver event-driven solutions that power trading decisions and optimise market operations. Experience required: • Strong commercial experience with C# and .NET Core, • Proven experience building microservices-based architectures, • Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.), • Experience with event-driven / message-based systems (Kafka, RabbitMQ, or Service Bus), • Energy or Commodity Trading domain experience (essential), • Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in hearing more about this Senior C# Engineer contract, please apply with your latest CV or send it directly to .

Senior Data Engineer Salary: £80,000 - £100,000 per annum Location: London hybrid Data Idols are working with a high-growth, product-led tech company on a mission to transform a global consumer category. With a rapidly growing customer base and a digital product used by millions, they are scaling their data team to power the next phase of growth and innovation. This role sits at the heart of their data platform strategy, perfect for an experienced Senior Data Engineer who wants to build infrastructure that shapes real-time decisions across Product, Growth, and Marketing teams. The Opportunity This is a hands-on, impactful position where you'll have full ownership of the data engineering stack. You'll be responsible for designing and maintaining scalable pipelines and orchestration systems that enable product innovation, campaign optimisation, and personalised user experiences at scale. Working closely with Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience • Strong expertise with Google Cloud Platform, especially BigQuery, • Proficient in SQL and Python, • Confident working with analytics engineering tools like dbt Senior Data Engineer Desired Skills and Experience GCP|dbt|Data Engineer

Data Engineer – Hybrid - London We’re working with a growing technology-driven business looking to add a Data Engineer to their team. This is a great opportunity to join a company that values clean, scalable data systems and a culture of collaboration and curiosity. You’ll play a key role in building and maintaining the data pipelines, models, and architectures that power analytics and product innovation. The ideal candidate is someone who thrives on solving data challenges and enjoys turning complex datasets into well-structured, reliable systems. What you’ll be doing • Designing, developing, and maintaining end-to-end data pipelines, • Building and optimising data models and warehouse solutions, • Performing ETL processes to ensure data quality and consistency, • Collaborating with teams across engineering, analytics, and product, • Supporting business intelligence and analytics efforts What we’re looking for • Strong background in Data Engineering and Data Modelling, • Solid experience with ETL processes and Data Warehousing, • Proficiency with SQL and at least one programming language (e.g. Python), • Strong analytical and problem-solving skills, • Comfortable working in a hybrid setup, • Degree in Computer Science, IT, or a related field If you’re passionate about building high-quality data systems and want to work in a collaborative, ambitious environment, apply today or message me directly for more details.

Contract Backend Engineer Location: London (Hybrid) Contract Type: Outside IR35 Duration: 3 months Clearance: Must hold or be eligible for SC Clearance About the Project Our client is a confidential technology organisation operating within the defence and national security domain. They develop secure, data-driven software systems that deliver critical insight and decision advantage. You will join a small, high-calibre engineering team at the start of a brand-new project. The team is building a next-generation platform that handles large-scale, multi-tenant, geospatial and graph-based data in a secure cloud environment. This is an opportunity to work on greenfield architecture using modern languages and infrastructure, and to help define best practices across a critical mission space. The Role As a Contract Backend Engineer, you will work closely with the CTO and senior engineers to design and deliver secure, scalable backend APIs that power complex analytical and operational systems. You will be instrumental in defining architecture patterns, integrating geospatial data sources, and working with modern cloud-native technologies. Tech Stack • Languages: Python (preferred), GoLang, or Rust, • Databases: Relational and Graph, • Infrastructure: GCP, Serverless, Containers, Kubernetes (not essential), • IaC: Terraform (nice to have), • Focus Areas: Secure multi-tenant systems, data orchestration, geospatial and graph data handling Key Responsibilities • Design and implement backend APIs in a secure, cloud-native environment, • Handle and optimise large-scale, complex datasets including geospatial data, • Build and maintain graph-based data structures and APIs, • Apply robust access control and security principles, • Collaborate with data and front-end teams to deliver cohesive solutions, • Contribute to architectural decisions and technical strategy Requirements • 3–5+ years of backend or full-stack engineering experience, • Strong experience with Python or proficiency in Go or Rust, • Experience with cloud platforms (GCP preferred) and microservice architectures, • Familiarity with graph databases and geospatial data, • Knowledge of Kubernetes, Serverless, or Terraform beneficial, • Must be eligible for SC clearance and comfortable working in a defence environment, • Must be UK-based and eligible to work in the UK Interested? Submit your CV to explore this opportunity to work on cutting-edge systems that make a real impact in the defence and intelligence sector.

Senior Backend Engineer - London (on-site) About the Role: We’re looking for a Senior Backend Engineer to join our mission of building the data, AI, and software infrastructure that will power the future of manufacturing. You’ll be part of a multidisciplinary team working at the intersection of hardware and software designing scalable backend systems that connect thousands of machines, handle massive real-time data flows. What You’ll Do: • Design, build, and scale backend systems using FastAPI and modern Python tooling., • Architect highly efficient systems to handle thousands of concurrent data streams from connected devices., • Develop APIs for edge devices and integrate backend services with their frontend dashboards., • Improve performance across databases, caching layers, and CI/CD pipelines., • Collaborate with a world-class team of engineers and scientists to deliver innovative AI solutions for real manufacturing environments. About You: • 3+ years of experience building and deploying backend systems at scale., • Strong proficiency in Python, FastAPI, Postgres, and SQLAlchemy., • Familiar with distributed systems, cloud deployments, and tools like Redis, Celery, Sentry, and New Relic., • Experience leading projects end-to-end in fast-paced environments, • A strong communicator and collaborative team player who enjoys solving complex problems., • Passionate about technology that bridges the digital and physical worlds. Please apply to find out more.

Senior Backend Software Engineer – Node.JS About the Opportunity An innovative, fast-growing technology company is searching for a Senior Backend Software Engineer to join its core engineering team. This organisation is building next-generation automation and intelligence solutions, and you will play a key role in developing the backend systems that power a high-impact platform used by customers worldwide. Role Overview In this position, you’ll take ownership of critical backend services and work closely with product, frontend, and AI engineering teams. You’ll design reliable, scalable systems and deliver high-quality code that directly influences the platform’s performance and customer experience. Key Responsibilities • Design, develop, and maintain backend services using Node.js and NestJS, • Build and support microservices and event-driven architectures, • Develop clean, maintainable, and well-tested code, • Create and optimise RESTful APIs with strong attention to performance and security, • Model and optimise MongoDB schemas for scalable data access, • Deploy and maintain services on GCP, using CI/CD pipelines (GitHub Actions), • Diagnose and resolve backend performance or scalability issues, • Collaborate in an agile environment with cross-functional teams Qualifications • Degree in Computer Science or related field, • 2+ years of backend development experience with Node.js, • Strong knowledge of TypeScript, async programming, and distributed systems, • Experience with microservices & event-driven architectures, • Skilled in writing unit and integration tests, • Experience with cloud platforms and CI/CD workflows, • Strong collaboration and problem-solving abilities Why Join • Work in a mission-driven environment building technology with real-world impact, • Competitive salary + significant equity offering, • Join a high-performing, collaborative engineering team working on meaningful challenges

We’re partnering with a fast-growing London-based startup that’s building the next generation of intelligent financial infrastructure. They’re developing a cutting-edge data and AI platform designed to power decision-making and automation across complex financial workflows. As a Senior AI Engineer / Founding Engineer, you’ll play a pivotal role in designing and building the core architecture — defining how modular components communicate, scale, and integrate with enterprise systems. You’ll help shape the technical direction of the platform from day one and work closely with the founding team to bring ambitious ideas to life. What You’ll Do • Architect and build a scalable, modular platform that integrates diverse data sources and systems, • Define component architecture, communication patterns, and integration frameworks across a complex data ecosystem, • Design flexible data ingestion and transformation pipelines for financial market data and trading systems, • Build and maintain AI/ML infrastructure, including model serving, evaluation, and observability frameworks, • Collaborate directly with clients to ensure the platform meets real-world enterprise requirements, • Contribute to both strategic technical direction and hands-on implementation as part of a small, high-performing team About You • Degree-qualified in Computer Science, Engineering, Mathematics, or a related technical field, • 5+ years’ experience designing and building complex platforms or systems, ideally in a startup or fast-paced environment, • Proven track record of architecting scalable, extensible systems with strong component-level design, • Background in finance or fintech – experience with market data, trading systems, or enterprise financial applications, • Ideally from a B2B company serving enterprise clients, comfortable building production systems for large-scale users, • Strong understanding of AI/ML infrastructure patterns and how to bring models into production Why Join This is a rare opportunity to join at the founding stage and shape a high-impact platform from the ground up. If you’re passionate about building scalable AI systems and want to make a real impact in financial technology, we’d love to hear from you.

Software Engineer – Finance Technology Location: London (Hybrid – 4:1) Our client, a leading global trading firm, is seeking a Software Engineer to join its Finance Technology team. This group builds and maintains the systems that power financial control, treasury, and tax functions across the business. The role offers exposure to distributed systems, data engineering, and high-throughput platforms, with the chance to work on projects ranging from payments automation and expense management to liquidity modelling and regulatory reporting. Key Responsibilities • Design, build, and maintain distributed microservices supporting financial operations, • Develop high-throughput pipelines for ingesting and enriching large datasets, • Implement automation for payments, purchase order capture, and expense validation, • Contribute to modelling and calculation frameworks for liquidity and exposure, • Deliver real-time monitoring and reporting tools for regulatory requirements, • Work across the full SDLC, from requirements gathering to deployment and support What We’re Looking For • 3–6 years of professional software engineering experience, • Strong academic grounding in algorithms and data structures, • Experience with concurrent programming and asynchronous systems, • Familiarity with distributed systems, microservices-based architectures, • Commitment to clean, disciplined software engineering practices, • Proficiency in Go, JavaScript, Java, C++ or other similar statically typed languages Why Apply? • Technically challenging projects in a highly collaborative, engineering-led environment, • Greenfield and business-critical development with rapid release cycles, • Flat structure with autonomy and scope for input at all levels, • Excellent benefits, including healthcare, pension, and daily perks Discretion is guaranteed – your profile will never be shared without consent.

We’re looking for a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data integration, transformation, and reporting across diverse sources. This is a strategic, hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. • Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data., • Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs., • Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting., • Modernise and manage databases, ensuring performance optimisation, governance standards, and scalable architecture across regions and environments., • Oversee cloud operations and resilience, including usage optimisation, disaster recovery, and data archiving in line with governance and retention policies., • Deliver high-quality documentation and collaboration, leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery. Experience: • 6–10 years experience with SQL Server (including T-SQL and performance tuning)., • Proven background in ETL/ELT design (ideally using Azure Data Factory)., • Hands on experience with cloud-based data ingestion and transformation (preferably Azure)., • Familiarity with Azure Medallion architecture or similar layered data models., • Integration experience using APIs, SFTP, and file-based systems., • Proficient with Power Automate, SharePoint, and Office 365 integrations., • Basic C# or PowerShell for automation or custom integration tasks., • Experienced in SQL optimization, troubleshooting, and scalability., • Cloud certification (Azure Practitioner or similar) is advantageous.

Data Engineer. Permanent. T6/MN/1292110-3. Remote - London International Manufacturing organisation is seeking to secure a Data Engineer. Member of a small Data Engineering Team which is part of a much larger IT function. Role: • Data Movement & Transformation processes between Application/Services/Solutions., • Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization, • ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency., • Monitor daily Data Loads & ETL workflows., • AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions., • Deliver UK Data Roadmap - aligned to Data Infrastructure & Business Strategy., • Gather & Define Requirements - identify new opportunities for the business/internal teams., • Troubleshoot & resolve pipeline failures, reporting errors & performance bottlenecks., • Validate & Reconcile Data - ensuring accuracy., • SSRS, Power BI & other BI tools - User Support., • Provide Governance, Security & Compliance - aligned to Data best practices., • Liaison with IT Business Systems & Business Teams & Third Parties., • Drive Continuous Improvement. Technical Skills Required: • Azure Data Factory - 4 years’ experience, • AWS Data Services (Redshift, S3, Lambda) - Desirable., • SSRS - hands-on experience., • ETL - Design, Data Quality Frameworks & Pipeline Management., • SQL - Star Schema - Data Modelling., • Data Warehouse Design, Development & Testing., • Data Warehousing Methodologies., • User Support - Power BI - desirable experience., • Undertake & Support IT Governance processes (License review etc)., • Customer Focused & Proactive approach., • Excellent communication skills - explain technical concepts to non-technical audiences, • Collaborative approach to teamwork. Contractual Hours: Monday to Friday - 40 Hours Per Week. Benefits Package: 31 Days Annual Leave - Including Bank Holidays / Contributory Pension / Income Protection / Life Assurance / Store Discount / Well Being Programme / Cycle to Work Scheme / Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Permanent, T6/MN/1292110-3.

Staff Software Engineer - High-Growth AI Start-Up (London) Staff Software Engineer required to play a key role in designing, building, and scaling the core systems that power the product of an exciting, VC backed AI start-up in London. As a Staff Software Engineer you will set the technical direction, collaborate with other engineers to deliver elegant, high-performance solutions to complex problems and help maintain a culture of excellence and ownership. About you: • 5+ years of professional software development experience (preferably in start-ups or high-growth environments)., • Expertise in Go, Python, C++, Java, C# or Rust., • Strong understanding of system design, distributed systems, and modern cloud architectures (AWS, GCP, or Azure)., • Experience in early-stage startups or building 0→1 products. If you're an experienced, language agnostic engineer that is ready to build, lead, and make a lasting impact at a critical stage of a business - let's chat! Apply now for immediate review! Staff Software Engineer - High-Growth AI Start-Up (London)

Data Engineer x4 days a week in their London office Join a fast-scaling, product-led tech company on a mission to transform how their sector performs in real time. With a strong focus on data-led decision-making and seamless mobile experiences, this team is building out their next-generation data infrastructure, and they’re looking for another Data Engineer to help drive that forward. This is an exciting opportunity to shape the way data flows through a live product used by thousands, while working closely with analytics, engineering, and commercial teams. You’ll be joining a small, high-impact team, reporting to a technical leader with a strong background in applied data architecture. What You’ll Be Doing • Designing, building, and maintaining scalable data pipelines to power both internal analytics and customer-facing mobile/web applications, • Developing robust ETL processes for ingesting and transforming data from a variety of sources, particularly APIs, • Creating and optimising data architectures to ensure efficient data storage, processing, and retrieval, • Supporting backend integrations (Python, Django) to ensure clean interfacing between data systems and applications, • Collaborating with stakeholders across Data Science, Product, Ops, and Commercial to shape data models that meet the needs of a growing business, • Supporting CI/CD, data versioning, and monitoring to ensure the reliability and accuracy of production pipelines, • Driving improvements in data access, documentation, and visualisation across the organisation What They’re Looking For • Proven experience designing and maintaining data pipelines in production environments, • Strong Python and SQL skills; familiarity with frameworks like Airflow, Spark, or similar, • Solid understanding of data modelling, architecture, and warehousing best practices, • Comfort working with cloud platforms (AWS, Azure) and infrastructure tools (e.g. Terraform, SageMaker), • Willingness to gain intermediate-level backend development skills (especially with Python/Django), • Bonus: experience with data lakes, CI/CD, and data quality/versioning tools If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

We are seeking a talented and dynamic Microsoft Copilot Studio Engineer to join our innovative team. This role plays a key part in driving the development and enhancement of Microsoft’s Copilot technology, an essential tool for productivity and creativity. In this role, you’ll use your technical expertise and creative thinking to help advance our ground breaking projects. Key Responsibilities • Development and Integration: Design, develop, and integrate new features for Microsoft Copilot, ensuring seamless functionality and a smooth user experience., • Collaboration: Work closely with cross-functional teams—including product managers, designers, and engineers—to deliver high-quality software solutions., • Testing and Debugging: Conduct rigorous testing and debugging to ensure reliability and performance of Copilot features., • Innovation: Continuously explore and implement innovative solutions to enhance Copilot’s capabilities., • Documentation: Create and maintain clear, comprehensive documentation for all developed features and integrations., • Support: Provide technical support and guidance to end-users and stakeholders. Required Qualifications • Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field., • Technical Skills: Proficiency in programming languages such as C#, Python, or JavaScript. Experience with Microsoft Azure, AI, and machine learning technologies is highly desirable., • Experience: Proven experience in software development, ideally within productivity tools or AI-driven applications., • Problem-Solving: Strong analytical and problem-solving skills with a proactive approach to finding solutions., • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences. Preferred Qualifications • Transferable Skills: Experience with power flow analysis and implementation, demonstrating the ability to manage and optimise data flows within complex systems., • Power Automate Skills: Proficiency in using Microsoft Power Automate to streamline workflows, automate business processes, and enhance productivity through intelligent automation., • Adaptability: Ability to quickly adapt to new technologies and methodologies in a fast-paced, evolving industry.

Data Center Technical Operations Engineer 6 Months Up to £250 a day Inside IR35 London - Heathrow Key Skills: Knowledge and experience of mechanical systems (Mechanical, HVAC systems, Controls), or knowledge and experience of key electrical competencies and theory AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon is seeking a collaborative electrical maintenance professional for our Amazon Web Services Team. This engineering operations technician position serves as the on-site maintenance technician and operator for an AWS data centre. The Data Centre Engineering Operations Technician (EOT) is responsible for operating and maintaining all electrical, mechanical, emergency generator, and fire/life safety equipment within the data centre. The EOT serves as a technical resource to support Amazon within its data centres. Data centre equipment that supports mission-critical servers must maintain better than 99.999% uptime. EOT’s are also tasked with driving innovation while reducing operational costs in the facilities. Key job responsibilities Responsibilities: • Operate and maintain mechanical and electrical equipment, • Troubleshooting of facility and rack-level events within internal SLAs, • Perform limited maintenance tasks to include: filter changes, HVAC PMs, rack power installs, rack PDU, and rack ATS replacements, • Provide support to Data Centre Operations technicians, • Perform root cause analysis of equipment failures, • Ensure all safety procedures are adhered to while performing work, • Take daily operational readings of all mechanical and electrical equipment through routine rounds/log taking (temperatures, voltages, currents, etc.), • Utilise internal CMMS to manage building workflows and spare part inventory, • Supervise contractors who perform servicing or preventive maintenance, • Respond to off hour emergency calls per on call rotation for any one of the region’s sites, • Fully comply with all physical security procedures and policies Safety - Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture. Engineering & Facility Operations and Maintenance - Operational experience and familiarity with electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS’s), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers If you are interested please apply or send your CV to

Lead Data Engineer Salary: £90,000 - £115,000 Location: West London (3 Days in Office) Using data science at their core, they transform complex property and customer data into insights that enhance targeting, retention, and performance. The Opportunity This flexible, data-driven start-up places Data Science at the heart of its business, using cutting-edge UK property data to deliver powerful insights for real estate partners and retailers. By leveraging advanced analytics, predictive modelling, and customer segmentation, the company helps clients better understand and engage with their audiences, improving marketing precision, timing, and overall performance. With a strong technical foundation and a collaborative team led by experienced data leaders, the company is building efficient, automated data pipelines and scalable systems to power intelligent decision-making. This is an exciting opportunity for forward-thinking professionals to join a growing team, shape best practices, and make a real impact in a fast-evolving data and technology environment. The Role and Responsibilities This is an exciting opportunity for a technically strong, hands-on data professional to play a pivotal role in shaping the architecture and future direction of a fast-growing, data-driven business. The role offers a 70-80% focus on hands-on development and 20-30% on leadership and communication, ensuring all key builds and improvements flow through this individual. Working with a modern tech stack including AWS, Snowflake, Python, SQL, DBT, Airflow, Spark, Kafka, and Terraform, you'll drive automation and end-to-end data solutions that power meaningful insights. Ideal for ambitious, proactive talent from scale-up or start-up environments, this position combines technical excellence, mentorship, and the chance to influence culture in a high-impact, fast-paced setting. Interview Process: 3 Stages 1. Introductory interview, 2. May be a task or case study, interviews with data team, 3. In person meeting with COO and other stakeholders If you're an experienced engineer with a passion for property and are looking for a role that blends hand on working with direct customer engagement, we'd love to hear from you, apply today.

Role: Front Office Software Engineer Industry: Commodities Trading Location: London (hybrid, 3 days per week) Compensation: Industry leading salary, 20-30% bonus, 10% employer pension contribution, private medical/dental, life insurance, income protection and much more. X4 Technology are partnered with a high growth commodity trading firm in central London to hire a Front Office Software Engineer, working at the forefront of trading technology where every line of code directly impacts real-time market decisions. Embedded with the firm’s LNG trading desk, you’ll work closely with traders and analysts to design, build and maintain high-performance front office tools and solutions, including: • Desk-specific analytics, providing real-time market insights, • Python-based forecasting models supporting risk assessment and decision making., • Tender tracking systems via Angular-based Outlook add-ins, • Data driven applications, built with data scientists, structurers and analysts to surface key price drivers (demand, weather, etc), • Freight and risk-altering tools, developed with risk teams to provide forward-looking LNG exposure insights Responsibilities of the Front Office Software Engineer • Partner with front office teams to iteratively deliver a prioritised backlog of business and technology initiatives, • Designing and delivering solutions using C#/.NET, Azure, Angular, Python, SQL Server and other technologies, • Building robust, high quality systems using modern best practices in software engineering, unit/integration testing and CI/CD, • Staying curious and proactive, taking ownership of learning trading workflows and identifying opportunities where technology can add commercial value Requirements for the Front Office Software Engineer: • Strong C#/.NET (Core, ASP.NET Core, Web API, gRPC), • Web technologies, particularly Angular, • Comfortable with Azure cloud platforms, • Good working knowledge of Python and its applications, • Understanding of database design (SQL Server, Cosmos DB, or similar), • Familiarity with modern DevOps practices, • Excel-based tools (VBA, Power Query, Excel add-ins) are a helpful Interview process is 2-3 stages, with availability from W/C 27th October, so please apply online now for immediate consideration!

Senior Data Engineer London - 2 days a week in the office Up to £95k A high-growth digital platform is transforming a multi-billion-dollar global industry through innovative online technologies. The platform connects a large network of customers and partners worldwide, powering billions in annual transactions. With significant revenue growth and international reach, the company is modernising one of the last sectors to fully embrace digital transformation, building a global, category-defining business in the process. As the organisation scales its AI and machine learning capabilities across search, recommendations, and analytics, it is investing heavily in robust data infrastructure to enable rapid experimentation, reliable insights, and data-driven decision-making. The Senior Data Engineer will collaborate with Product Managers, ML Engineers, Analysts, and Software Engineers to design and maintain the data pipelines and infrastructure that power AI-driven features and business intelligence, handling millions of events and requests daily. Key Responsibilities: • Design, build, and maintain reliable ETL/ELT pipelines to support analytics, ML models, and business intelligence, • Develop scalable batch and streaming data pipelines to process millions of events and transactions daily, • Implement workflow orchestration using Airflow, Dagster, or similar tools, • Build data validation and quality monitoring frameworks to ensure data accuracy and reliability, • Collaborate cross-functionally with Software, ML, and Analytics teams to deliver production-ready data products, • Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: • 5+ years of experience building and maintaining data pipelines in production environments, • Strong Python and SQL skills (Pandas, PySpark, query optimisation), • Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda, • Familiarity with data warehousing (Redshift, Snowflake, BigQuery), • Experience with workflow orchestration tools (Airflow, Dagster, Prefect), • Understanding of distributed systems, batch and streaming data (Kafka, Kinesis), • Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: • Experience with dbt, feature stores, or ML pipeline tooling, • Familiarity with Elasticsearch or real-time analytics (Flink, Materialize), • Exposure to eCommerce, marketplace, or transactional environments

Software Engineer London - Hybrid (4 days a week onsite) Up to £85,000 + benefits We’re partnered with an early-stage technology business that is building the data infrastructure to power automation across a global, multi-trillion-dollar industry. Backed by leading investors, they’re tackling complex problems in a market that touches millions worldwide. They are looking for a talented Software Engineer with a passion for accuracy, automation, and solving hard data challenges. This is a unique opportunity to join an experienced founding team and help design systems that transform how businesses operate at scale. Responsibilities as a Software Engineer: • Clean, normalise, and integrate datasets from multiple sources with exceptional accuracy, • Build automated data pipelines that adapt to evolving data formats and sources, • Design scalable database schemas and optimise queries for performance, • Develop systems that continuously learn and improve through real-world usage, • Collaborate with product and engineering teams to ship iterative solutions that deliver measurable impact, • Contribute to the architecture of a core data platform powering automation across the ecosystem Key Requirements: • Strong programming skills (Python and/or TypeScript preferred), • Proven experience with database design, schema evolution, and optimisation, • Experience cleaning and reconciling conflicting datasets with a focus on quality and accuracy, • Ability to build automated, resilient processes that reduce manual intervention, • Understanding of cloud platforms and scalable infrastructure, • Strong problem-solving mindset with an evidence-based approach to decisions, • Comfortable in startup-style environments where problems are undefined and solutions need rapid iteration Nice-to-Haves: • Experience with complex B2B domains, marketplaces, or e-commerce, • Background in industries with high SKU complexity, • Previous startup experience, • Genuine interest in the domain (a bonus, not essential) This is a career-defining opportunity for a Software Engineer to join at the ground floor and shape the future of a transformative platform. If you’re passionate about building world-class data systems and want to make your mark, we’d love to hear from you. **Unfortunately, due to high volume of applications, not all submissions will receive feedback

Palantir Foundry Engineer / Palantir / Data / Foundry / London / Permanent / DV Clearance Vivo Talent is engaged exclusively to recruit a Palantir Foundry Engineer for a client of ours based in London. You will be engaged in designing and delivering scalable data solutions that power key insights across the organisation. It is an ideal opportunity for a Data Engineer who has extensive experience working with Big Data technologies and Palantir Foundry. What You’ll Do: • Build and deploy large-scale data processing systems, leveraging Big Data frameworks and cloud platforms., • Champion code quality and maintainability through best practices and mentoring team members., • Estimate technical effort and provide guidance on data architecture decisions., • Utilise Palantir Foundry to model, integrate, and optimize data pipelines, helping turn raw data into actionable insights. What We’re Looking For: • Proficiency in Java, Scala, or Python., • Hands-on experience with cloud platforms (AWS, Azure, GCP) and data tools like Databricks., • Strong knowledge of ETL/ELT pipelines, distributed systems, and SQL., • Familiarity with CI/CD, automated testing, and performance tuning., • Palantir Foundry experience is essential – we need someone who can hit the ground running with this platform. If you’re interested in in this opportunity or have any questions, please reach out to arrange a confidential conversation. Palantir Foundry Engineer / Palantir / Data / Foundry / London / Permanent / DV Clearance Palantir Foundry Engineer / Palantir / Data / Foundry / London / Permanent / DV Clearance Palantir Foundry Engineer / Palantir / Data / Foundry / London / Permanent / DV Clearance