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Trainee AI Technician – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £28,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\n\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\n\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\n\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\n\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\n\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\n\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\n\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\n\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\n\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\n\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\n\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\n\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\n\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\n\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\n\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £28,000–£45,000\n\nWe Get You Hired\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Programmer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Engineer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Junior AI Developer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Developer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

A fast-growing, product-focused tech business is looking for a Hands-on Engineering Manager to guide a skilled engineering team based in Nottingham. This is a hybrid role, ideal for someone who enjoys hands-on leadership in a collaborative, in-person environment. You’ll guide the development of features and systems across web apps, APIs, and internal tools, working closely with product, design, and engineering teams to bring high-impact ideas to life. You'll combine technical direction with day-to-day coding, team mentorship, and delivery oversight, playing a key role in shaping both the product and the team’s growth. Salary: £80,000 to £95,000 + benefits Location: Nottingham, Hybrid Key Responsibilities • Lead the design and build of new product features, services, and technical systems, • Own features end-to-end—from technical design to testing, deployment, and monitoring, • Write production-grade code alongside the team (this is a hands-on role), • Align technical delivery with business goals through close collaboration with stakeholders, • Mentor and support developers, fostering a culture of learning and improvement, • Maintain high standards for code quality, scalability, and team communication What You’ll Bring • 7+ years’ experience in software engineering, including recent time in a senior or lead role, • Strong experience with Node.js (NestJS) and TypeScript, • A good knowledge of a Front End framework like Vue, React or Angular., • Solid understanding of cloud infrastructure (preferably AWS) and CI/CD practices, • A thoughtful approach to system design, security, and performance at scale, • Great communication and stakeholder engagement skills, • Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview • Backend: NestJS / Node.js / TypeScript, • Frontend: Vue 3 / TypeScript, • Cloud: AWS, • Databases: PostgreSQL / MongoDB, • Tools: Rush (monorepo), GitHub, Notion, Linear, • Comms: Slack, Zoom, Around If you're a seasoned engineer who thrives in a leadership role and enjoys building great products with great people, we’d love to hear from you. Apply now or get in touch to find out more.

A fast-growing, product-focused tech business is looking for a Principal / Lead Software Engineer to guide a skilled engineering team based in Nottingham. This is a primarily on-site role, with some hybrid flexibility, ideal for someone who enjoys hands-on leadership in a collaborative, in-person environment. You’ll guide the development of features and systems across web apps, APIs, and internal tools, working closely with product, design, and engineering teams to bring high-impact ideas to life. You'll combine technical direction with day-to-day coding, team mentorship, and delivery oversight, playing a key role in shaping both the product and the team’s growth. Salary: £80,000 to £95,000 + benefits Location: Nottingham, Hybrid Key Responsibilities • Lead the design and build of new product features, services, and technical systems, • Own features end-to-end—from technical design to testing, deployment, and monitoring, • Write production-grade code alongside the team (this is a hands-on role), • Align technical delivery with business goals through close collaboration with stakeholders, • Mentor and support developers, fostering a culture of learning and improvement, • Maintain high standards for code quality, scalability, and team communication What You’ll Bring • 7+ years’ experience in software engineering, including recent time in a senior or lead role, • Strong experience with Node.js (NestJS) and TypeScript, • A good knowledge of a Front End framework like Vue, React or Angular., • Solid understanding of cloud infrastructure (preferably AWS) and CI/CD practices, • A thoughtful approach to system design, security, and performance at scale, • Great communication and stakeholder engagement skills, • Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview • Backend: NestJS / Node.js / TypeScript, • Frontend: Vue 3 / TypeScript, • Cloud: AWS, • Databases: PostgreSQL / MongoDB, • Tools: Rush (monorepo), GitHub, Notion, Linear, • Comms: Slack, Zoom, Around If you're a seasoned engineer who thrives in a leadership role and enjoys building great products with great people, we’d love to hear from you. Apply now or get in touch to find out more.

Senior Software Engineer (AWS / TypeScript) - Up to £440 per day | Remote UK We’re working with a growing tech-led business embarking on a major cloud transformation programme and they’re looking for a Contract Software Engineer to play a key role in modernising a core platform. This is a hands on position focused on re-platforming an existing Azure based .NET application into a cloud-native AWS architecture, leveraging modern TypeScript tooling and serverless technologies. The Role You’ll be responsible for helping to lift, evolve and re-architect a legacy application into a scalable, event-driven AWS environment. Working closely with engineers and stakeholders, you’ll contribute to both technical direction and delivery, helping shape best practices and modern engineering standards along the way. Key Responsibilities • Lead the migration of an existing .NET / SQL Server application into AWS, • Design and build cloud-native solutions using modern TypeScript, • Develop serverless architectures using AWS Lambda, Step Functions and DynamoDB, • Collaborate with cross-functional teams to define and deliver scalable solutions, • Contribute to architectural decisions and promote engineering best practice, • Support CI/CD, testing and deployment processes Tech Stack • AWS (Lambda, Step Functions, DynamoDB), • TypeScript / Node.js, • Existing environment: .NET, Azure, SQL Server What We’re Looking For • Strong experience as a Senior Engineer in modern web/backend development, • Proven track record working with AWS and serverless architectures, • Experience building applications with TypeScript / Node.js, • Understanding of cloud migration / modernisation projects, • Solid grasp of API design, distributed systems and event-driven architecture, • Comfortable working in an evolving environment with a high degree of autonomy If you're interested, please apply through the link and I'll be in touch ASAP

Senior Site Reliability Engineer 📍 UK (remote or hybrid) Join a market leader in unified IT operations, helping IT teams automate, manage, and remediate within a single modern interface. We’re hiring a Senior SRE to scale our client’s platform to support millions of global users. You’ll ensure systems are secure, reliable, and scalable—working with modern cloud tech and a dedicated SRE team. What You’ll Bring: • 10+ years’ experience in Site Reliability Engineer roles, • Expert+ level Linux administration, scripting, and troubleshooting, • Demonstrable knowledge of Observability tools (Prometheus/Grafana, New Relic, Splunk, DataDog), • Comprehensive experience with AWS (Amazon Web Services) and its core capabilities (VPC, EC2, ECS, Route53, Fargate, ALB/NLB distributions, etc), • Extensive experience with cloud automation and infrastructure-as-code (IaC) toolsets, primarily CloudFormation but also including Terraform, Helm and Ansible. CDK a plus., • Good understanding of containers, Fargate, Kubernetes, and overall distributed microservice architectures, • Passionate about automation, security, and self-service environments/portals, • Hands-on experience with CI/CD and SDLC (Software Development Life Cycle) processes Must be based in the UK with no need for sponsorship. Apply now to join a high-impact, platform engineering team!

DevOps Engineer (Azure/AWS, SQL Server, Client-Facing) Fully remote - UK Based - up to £65,000 Security Clearance Required or Eligible We are hiring a DevOps Engineer to take ownership of critical UK-hosted production systems, working directly with clients and leading incident response across Cloud platforms. This is a high-impact, client-facing role where you will act as the UK technical authority, ensuring system availability, security, and performance across business-critical applications. You will sit at the centre of production operations, bridging UK clients and offshore engineering teams. You will get to: • Own and influence mission-critical UK systems, • High level of autonomy and technical ownership, • Direct exposure to clients and decision-making, • Work in a modern cloud + DevOps environment Skills required: • Strong experience in DevOps / Production / Application Support environments, • Solid knowledge of AWS or Azure, • Advanced SQL Server skills (query optimisation, performance tuning), • Experience supporting live production systems (L2/L3), • Comfortable working in client-facing environments, • Strong communication skills and ability to lead technical discussions Responsibilities: Production Ownership • Optimise SQL queries and resolve performance and data-related issues Bonus: • Experience in regulated or security-cleared environments, • Understanding of UK data compliance (GDPR, data residency)

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

We’re looking for an Applied AI Engineer to support the design and delivery of AI-powered systems for our clients. You’ll work alongside experienced engineers, data scientists and delivery teams to help build, test and deploy intelligent applications, while developing your technical depth in modern AI engineering practices. This role is ideal for someone who combines AI/ ML expertise with practical problem solving skills and ability to translate concepts into real world applications. Key responsibilities: • Support the design, build and deployment of applied AI systems., • Contribute to backend services, APIs and application components that integrate AI capabilities into production systems., • Assist in experimentation, prototyping and testing of ML and Generative AI solutions., • Write clean, maintainable, well-tested code following established engineering standards., • Participate in code reviews and technical discussions to continuously improve engineering quality., • Help implement monitoring, evaluation and performance tracking for AI-enabled systems., • Collaborate with data scientists, product managers and client stakeholders to understand requirements and translate them into working solutions., • Contribute to internal knowledge sharing and capability development as you grow. Key skills: • 2 - 5 years experience in a software engineering, machine learning or AI-related role., • Solid foundation in software engineering principles and problem-solving., • Experience programming in at least one language (Python preferred)., • Strong understanding of ML concepts and familiarity with AI/ML tooling or frameworks., • Exposure to cloud platforms (AWS, Azure or GCP)., • Strong willingness to learn and take feedback constructively., • Clear communication skills and ability to work effectively in a team environment. Company benefits: • Remote-first working with flexibility around client needs., • Opportunity to work on meaningful AI projects across multiple industries., • A collaborative culture focused on learning, excellence and continuous improvement., • Competitive salary with clear progression pathways into senior engineering roles.

Full Stack Product Engineer - London (will need to relocate if not in London) We’re looking for a Full Stack Product Engineer to help build and scale a high-growth product in a fast-paced environment. This role is ideal for someone who enjoys working across the stack, shipping features quickly, and solving real user problems. Responsibilities • Build and own user-facing features end-to-end, • Develop new product capabilities (including AI-powered features), • Optimise application performance, scalability, and reliability, • Work closely with users to understand needs and deliver solutions, • Experience in product-focused engineering environments, • Strong skills in TypeScript, Node.js, and React, • Experience with modern frontend tooling (e.g. Tailwind or similar) is a plus, • Solid knowledge of relational databases (e.g. PostgreSQL), • You’re a hands-on builder who enjoys creating products from scratch, • Comfortable working in fast-paced, evolving environments, • Interested in startup or high-growth settings, • Collaborative, pragmatic, and user-focused, • London-based role with primarily in-office working, • Competitive salary + great list of benefits, • Relocation support available for candidates moving to London from within the UK

Full-Stack AI Engineer (Front-End Heavy) Are you a full-stack engineer with a passion for AI and clinical development? A fast-growing AI-driven clinical development platform is looking for a Full-Stack AI Engineer (Front-End Heavy) based in the UK to design and build tools that help biotech and pharma teams make faster, smarter decisions throughout the clinical development lifecycle. You’ll work on interactive dashboards and AI-powered applications that turn complex clinical data into actionable insights. What You’ll Do as an AI Engineer • Build front-end interfaces that visualise AI/ML insights for clinical development teams, • Develop and maintain full-stack applications with a focus on user experience and usability, • Collaborate with data science, clinical, and software teams to integrate AI models into decision-support tools, • Optimise AI models and platform components for performance, reliability, and regulatory compliance, • Help translate clinical development needs into interactive, actionable solutions, • Stay current with AI/ML, modern front-end frameworks, and clinical informatics trends Who You Are • Experienced in full-stack development, with strong front-end skills (React, Angular, Vue, or similar), • Proficient in Python, JavaScript/TypeScript, and relevant AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), • Familiar with cloud platforms (AWS, GCP, Azure) and data pipelines/ETL, • Knowledge of clinical data standards (CDISC, HL7, FHIR) is a plus, • Collaborative, solutions-oriented, and excited to apply AI to clinical development challenges Why Join • Work on an AI platform transforming clinical development decision-making, • Lead the development of user-facing, AI-powered tools that improve outcomes and speed, • Flexible UK remote/hybrid working arrangements, • Competitive compensation and opportunities for professional growth Eblex Group is handling this search exclusively. For confidential consideration, apply directly or reach out to Eblex Group.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Senior Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Python and TypeScript, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Python, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Are you looking for your next high-impact AI contract where you can hit the ground running and deliver real value from day one? 📍 Manchester / Remote (UK-based) 💼 Contract (Outside IR35) ⏳ Initial 6 months (extension likely) We're working with a well-funded, fast scaling, technology led organisation investing heavily in AI, machine learning and data platforms. We’re looking for a stong AI Engineer to join on a contract basis who enjoy building real-world AI applications. As an AI Engineer you will be: 🔧 Designing and building AI/ML solutions end-to-end 📊 Working with APIs, data sources, and cloud platforms 👥 Collaborating with product, data, and engineering teams 🔍 Experimenting with and implementing modern AI frameworks and tools 🧠 Helping improve performance, scalability, and reliability We’re open to a range of backgrounds, but typically the successful AI Engineer will have: ✔️ Experience as an AI Engineer, ML Engineer, or Data Engineer ✔️ Strong programming skills (Python) ✔️ Experience with LLMs or modern AI tools (e.g. APIs, LangChain, vector databases) ✔️ Understanding of data pipelines and working with datasets ✔️ Familiarity with cloud platforms (AWS, Azure, or GCP) If you match all of the above apply immediately or email 😊

Senior Cloud Engineer Location: London / Manchester / Leeds (Hybrid) Function: Cloud Engineering / DevOps Salary: Up to £70,000 + bonus + comprehensive benefits About the Role Our client is a major UK digital, cyber and intelligence organisation delivering secure technology solutions across National Security and critical infrastructure programmes. With thousands of specialists operating globally, they design and build resilient, high-assurance systems in some of the most demanding environments in the country. Due to sustained growth across National Security accounts, they are hiring Senior Cloud Engineers to join their Gloucester team. This is not a generic cloud role. You will be working on secure government and critical systems where reliability, resilience and security are essential. You will operate within multi-disciplinary engineering teams, shaping cloud-native solutions that directly support nationally significant programmes. What You’ll Be Doing • Designing and building secure, cloud-native architectures in AWS, • Deploying infrastructure using Terraform, CDK or CloudFormation, • Creating and managing scalable infrastructure environments, • Implementing configuration management using tools such as Puppet, Chef or Ansible, • Building and managing containerised environments using Kubernetes, ECS or OpenShift, • Applying AWS security best practices and embedding secure-by-design principles, • Managing source control and software configuration across projects, • Engaging with internal and external stakeholders, • Leading teams or mentoring engineers at Senior level This is hands-on engineering. You will be expected to design, build and improve cloud platforms rather than simply maintain them. Ideal Background You should be able to demonstrate: • Strong experience across AWS services and modern cloud patterns, • Infrastructure as Code expertise, such as Terraform, CDK or CloudFormation, • Configuration management experience, • Solid networking fundamentals and understanding of software-defined networking, • Container orchestration experience, • Scripting capability in at least one language such as Python, Bash or Go, • AWS certifications are desirable but not essential The environment rewards engineers who stay current with new AWS releases and evolving best practice. What You’ll Receive • Salary up to £70,000, • Annual bonus, • DV Bonus - £7,000 annually, tax-free, paid quarterly, • 25 days holiday with buy/sell options, • Private medical and dental cover, • Competitive pension, • Flexible benefits package, • Hybrid and flexible working arrangements, • Structured career development with a dedicated career manager, • Funded training and certification support Senior Engineers are supported to progress into technical leadership or architecture pathways. Security & Eligibility Due to the nature of the work, you must: • Have permanent and unrestricted right to work in the UK, • Be eligible for Government DV clearance This role sits within National Security and critical infrastructure programmes. Clearance is mandatory. Who Should Apply This role suits experienced AWS Cloud Engineers who want to work on secure, high-impact systems rather than standard commercial platforms. If you value engineering discipline, structured delivery and exposure to nationally significant programmes, this warrants a conversation. If you would like further detail on the projects, team structure or clearance process, get in touch directly.

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Senior Full Stack Engineer : Up to £500 per day Outside IR35 : Fully Remote : London A growing EdTech company is seeking a Senior Full Stack Engineer to join an ambitious team building a creator-led tutoring platform. They are moving fast and building something genuinely new in education. As a Senior Full Stack Engineer, you will work closely with the engineering team, ship features end-to-end, and see your code reach real users within days. Key Responsibilities as a Senior Full Stack Engineer: • Build and ship features across the full stack, • Design and implement APIs and database schemas for new product features, • Integrate and optimise video streaming infrastructure, • Work with AI and ML models to power personalised tutoring features, • Implement payment flows and subscription management via Stripe Skills & Key Requirements: • Strong React and Next.js skills, • Proficiency with Claude Code and agentic development patterns, • PostgreSQL experience: complex queries, schema design, and optimisation, • Familiarity with serverless cloud platforms, particularly AWS and Vercel Contract Details: • Day Rate: Up to £500 per day Outside IR35, • Contract Length: 6 months, • Location: Fully Remote, • Start Date: ASAP If you are a Senior Full Stack Engineer who wants real ownership on a genuinely interesting technical problem, send your CV across today. Due to the high volume of applications, not all applicants will receive feedback. Senior Full Stack Engineer : Up to £500 per day Outside IR35 : Fully Remote : London

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Location: Remote UK (working from home) Salary: £60,000 - £65,000 per annum, DOE + benefits Please note that only applicants who submit a cover letter with their application will be considered for this role About Artifax Artifax Software builds industry-leading venue and event management tools for the arts and culture sector. Our platform is used by performing arts centres, museums, festivals, universities, and cultural organisations around the world. We’re a remote-first, values-led team backed by the stability of Volaris Group, with a culture that’s collaborative, supportive, and always evolving through feedback. About the role We’re looking for a Senior Software Engineer who can take ownership of complex, production systems while applying AI in a disciplined, engineering-led way. You will work across two equally important areas: • Designing and delivering AI-enabled features and workflows that create real product and commercial value, • Incrementally modernising a complex PHP-based enterprise platform to keep it robust, scalable, and future-ready This is a senior, hands-on role with real technical ownership. Success requires strong engineering judgement, the ability to operate in complex systems, and the confidence to own architectural decisions end-to-end. Working closely with the Product Owner and Head of Engineering, you will make pragmatic architectural decisions that balance innovation, delivery speed, security, and long-term maintainability. AI is central to how we build. We seek engineers who create robust software features by embracing AI-first engineering practices and who are capable of integrating AI responsibly and effectively within customer-facing features and internal workflows. What you’ll do • Design and deliver clean, secure, maintainable, and performant end-to-end solutions using AI-accelerated coding across frontend, backend, and infrastructure, • Support the uplift of architectural components, backend systems, and enterprise-grade functionality, • Use AI tools for code generation, code review assistance, test automation, design translation, and rapid prototyping, • Contribute to evolving AI-enabled development processes and patterns across the business, • Lead development of new product add-ons with clear commercial value, • Assist in improving system performance, reliability, and scalability, • Design AI/LLM-powered workflows with strong guardrails for security and reliability, • Build REST APIs and modular services, including scalable inference-backed services where appropriate, • Package and deploy applications using Docker/Kubernetes, • Support AWS-based deployments with a focus on reliability and scalability, • Collaborate on CI/CD pipelines and automation, • Work closely with product, leadership, and customer-facing teams, • Contribute to shared patterns, documentation, and continuous improvement What you’ll bring • 7+ years building and maintaining production software on cloud-native platforms, • Strong backend engineering experience with server-side frameworks like Laravel/CodeIgniter (PHP 8.2+), alongside experience in related technologies such as TypeScript, React, Node.js, JavaScript, • Deep understanding of relational databases, • Experience working with complex business logic and legacy systems, • Hands-on experience using AI tools (GitHub Copilot, Cursor, Claude) for Software Development and agentic development workflows., • Experience integrating AI or LLM-based capabilities into applications or workflows, • Solid grounding in software architecture, system design, containerisation and cloud platforms (AWS), • Confidence working with legacy systems while driving pragmatic improvement, • Clear communication skills and a strong sense of technical ownership Nice to have • Experience with microservices, security best practices, or SaaS products, • Familiarity with LLMs, RAG pipelines, or vector search, • Background in creative technology or the arts & culture sector, • Familiarity with agile development methodologies, Git-based workflows and iterative release cycles Why join Artifax? • Shape products used by cultural organisations worldwide, • Work on meaningful, technically challenging problems with real ownership, • Be part of a collaborative, remote-first engineering culture, • Explore responsible, real-world applications of AI, • Enjoy stability, autonomy, and opportunities to influence long-term technical direction Application Requirement Please include a short cover letter (max 300–400 words) including details of: • A production system you’ve owned end-to-end, • Your experience working on the modernisation of legacy systems or complex business logic., • An example of how you’ve used AI tools in the Software Development lifecycle or AI/LLM in a real product/workflows, • Why you feel this role is a good fit for your experience Applications without an accompanying cover letter will not be considered. Important • This is a UK-based role, • Applicants must be resident in the UK and have the right to work in this country, • Artifax is not able to offer visa sponsorship If you’re excited by thoughtful engineering, practical AI, and building products that support arts and culture, we’d love to hear from you.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Leading AI-powered product development: designing LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js or Python, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire a high-calibre Lead Software Engineer into their UK business, as they build a new conversational AI platform from the ground up. This hire can be based predominantly from home anywhere in the UK, with occasional trips to meet the team, but with plenty of flexibility to suit individual circumstances. The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows. As Lead Software Engineer you will: • Set the software engineering standards for this newly formed team of 4., • Operate roughly as follows: 70% hands-on software development, 30% tech lead responsibilities., • Develop scalable backend services for multi-tenant execution of AI agents., • Deploy LLM-based applications and agentic workflows at scale. We want to hear from you if: • You have 5+ years of hands-on experience building production applications, with at least 2 years as a Lead Software Engineer, Technical Lead or Software Engineering Lead, • You're an expert when it comes to backend development using Python, building systems at scale, • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Bonus points if you have high-volume, low-latency message processing and Kubernetes experience, • You do NOT need previous AI experience, but you definitely need a keen desire to build AI products. What do they offer? • Salary £120k-£150k, • Comprehensive benefits package, • Remote-first setup anywhere in the UK, with occasional travel to the company HQ just north of London

🚀 Senior Full-Stack Engineer – TypeScript / React / AWS 💰 Up to £90,000 + Equity | Fully Remote (UK) 💻 Tech Stack: TypeScript, Node.js, React.js, AWS ✅ Backend lean We’re on the hunt for a hands-on Senior Engineer to join a fast-moving team delivering real, production grade systems. This isn’t R&D or proof-of-concept work, they’re shipping cloud-native, AI-enabled products that customers actually use. 🔹 About You • 6–8 years’ experience ideally, • TypeScript, React, Node.js wizardry, • AWS experience, • Bonus: React Native 🔹 What You’ll Do • Build event-driven microservices & APIs, • Develop modern, scalable React UIs, • Ship cloud-native systems on AWS, • Collaborate with product & AI specialists to turn ideas into features, • Champion clean, testable, reliable code 🔹 Why Join • Hands-on role with real ownership, • Work with modern cloud architecture & AI products, • Fully remote, but part of a high-performing, collaborative team 📩 Interested? Send over your CV + notice period. 🚀 Senior Full-Stack Engineer – TypeScript / React / AWS

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

About Veridox Veridox works with some of the largest insurers, airlines, law firms, and financial institutions in the world to detect fraud in documents and images. When a customer submits a receipt, ID document, or damage photograph, our platform determines whether it is genuine, tampered with, or AI-generated and, critically, explains why with clear, verifiable evidence. We’re replacing manual processes with multi-agent AI that reasons more like a human forensic analyst and we're now scaling rapidly. Our Culture We are, first and foremost, builders. Our team is mature and professional, placing significant emphasis on humility, collaboration, and accountability. We operate as a collective: the success of the team takes precedence, we solve challenging problems together, and we share the credit uniformly. We seek individuals driven by the success of the overall system and the team, rather than individual accolades. While our internal environment is relaxed and highly collaborative, we maintain strong professionalism in our routines and customer interactions. We want autonomous, reliable engineers who take immense pride in their craft and aren’t afraid to take ownership directly in front of large enterprise customers. The Role You will be the key owner for the development and deployment of our agentic document analysis systems. Your work will extend significantly beyond simple prompt engineering; you will be architecting the resilient infrastructure required for our Large Language Models (LLMs) and Small Language Models (SLMs) to reliably ingest, process, and reason over complex documents at scale. We are looking for an engineer who not only understands how to construct robust production systems today but also possesses the strategic vision to guide our transition toward a fully agentic, skill-utilising platform in the future. Key Responsibilities • Build, deploy, and maintain highly resilient, asynchronous workflows using Azure Durable Functions (Python 3.14)., • Develop and iterate on agentic systems utilising LiteLLM, Vertex AI (Gemini Preview & GA Models), and Gemini 2 Embeddings., • Design and optimise retrieval pipelines using AWS OpenSearch., • Containerise applications using Docker and manage infrastructure-as-code deployments via Terraform., • Collaborate closely with our platform teams, competently engaging in discussions about system architecture and integrating with NodeJS APIs., • Lead technical discussions with enterprise customers, owning your systems and explaining complex AI concepts with clarity and professionalism. What You'll Bring • Deep expertise in Python and cloud-native architecture (specifically handling the complexities and nuances of Azure Durable Functions)., • Proven experience building and deploying production-grade LLM applications, moving substantially beyond experimental setups or Jupyter notebooks., • Strong understanding of agentic design patterns (including tool calling, routing, and state management)., • A true "builder's mentality": you must be trusted with the autonomy to take a feature from initial concept through to a hardened production deployment., • Exceptional professional courtesy, communication skills, and a willingness to stand confidently behind your work in front of clients. Why Join Us? • Build systems that matter: We aren't building toy wrappers. We are deploying AI into high-stakes environments where your engineering directly solves complex, enterprise-scale problems., • Autonomy with support: We hire experts and trust them. You will have the autonomy to design, build, and deploy end-to-end, backed by a collaborative team that has your back when things get difficult., • The best of both worlds: Enjoy a safe, relaxed, and genuinely fun internal culture combined with a fierce commitment to professional excellence and customer success., • No red tape, just engineering: We minimise bureaucracy so you can focus on what you do best: writing great code, building resilient cloud architecture, and pushing the boundaries of AI infrastructure.

Lead Data Platform Engineer Remote (UK-based) SC Clearance Required (British Citizen) Permanent - Up to £110,000 + Benefits We are looking for a hands-on Lead Data Platform Engineer to join a high-impact programme delivering scalable, real-time data solutions. This role offers the opportunity to work on complex, mission-critical systems using modern technologies across streaming, cloud, and distributed data platforms. The Role As a Lead Data Platform Engineer, you will design and deliver batch and real-time data pipelines that are highly available, low latency, and scalable. You will collaborate with cross-functional teams to shape solutions, influence architecture, and ensure data is transformed into reliable, consumable outputs. Key Responsibilities • Design, build, and deploy data pipelines and backend services, • Work with real-time streaming technologies and event-driven architectures, • Champion engineering best practices including TDD, CI/CD, and clean code, • Collaborate with architects, analysts, and testers in Agile/BDD environments, • Take ownership of services in production, ensuring performance and reliability, • Drive continuous improvement across data platform capabilities, • Contribute to solution design, estimation, and delivery planning Required Experience • Strong production Java experience, • Experience with Kafka, Kinesis, or similar streaming technologies, • Hands-on experience with Spark, Flink, Kafka Streams, or similar, • Experience with Spring Boot and/or Python, • Strong experience with AWS (including Lambda and S3), • Experience integrating with PostgreSQL, Redis, or similar, • Solid understanding of data pipelines and data modelling, • Passion for clean, testable, and maintainable code, • Experience working in Agile and/or DevOps environments Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Familiarity with Terraform, Ansible, or Packer, • Experience with CI/CD tools such as Jenkins or Drone If you are interested, please apply or get in touch to discuss further.

🔎 Platform / Cloud Engineer (Rust) 🚀 Early-Stage B2B SaaS - Connected Business Planning 🇬🇧 100% Remote (UK) 💷 Up to £95,000 + Benefits 🧠 Mid-Senior Level The Opportunity A well-backed, pre-launch SaaS company is building the platform that replaces spreadsheets as the way product-based businesses plan, forecast, and make decisions. Think a live, connected model of an entire business - P&L, inventory, demand, margins, all updating in real time as the business changes. The engineering team is small, senior, and building something genuinely hard: a calculation engine that keeps every number consistent across an entire organisation, with AI on the roadmap. The infrastructure is being built right now, from the ground up, and they need someone to own it. This is a rare chance to shape the cloud and platform foundations of a product at the moment it matters most - before launch, while the architecture decisions still count. What You'll Do • Design and build Kubernetes infrastructure on AWS from early-stage architecture, • Own infrastructure-as-code (Terraform) and CI/CD pipelines, • Work closely with a Rust-heavy backend team, understanding and integrating with the codebase, not just operating it, • Establish observability practices across the platform (metrics, logging, tracing, alerting), • Contribute to decisions around self-hosting LLMs as AI becomes part of the product, • Document systems and share knowledge proactively. You'll be the most specialised engineer on the team and they want the whole team to grow with you What We're Looking For • AWS - deep working experience, • Kubernetes in production (EKS or self-managed), • Terraform or equivalent IaC, • Observability tooling (Prometheus, Grafana, OpenTelemetry or similar), • Rust - You don't need to be an expert, but enough working knowledge to read the codebase and understand what's happening Nice to have: • Early-stage startup experience, • CI/CD pipeline ownership (GitHub Actions, ArgoCD or similar), • Any exposure to LLM infrastructure or AI/ML platform work Experience Level We're open to strong mid-level engineers as well as senior candidates. If you've got solid AWS and Kubernetes foundations, care about building things properly, and want real ownership, we want to hear from you. Depth matters more than years on a CV. Benefits • A priority focus on Work-Life Balance (no expectation of working weekends or long hours - we're not pushing last-minute deadlines and overworking, we're hiring with strategy and purpose), • Salary up to £95k, • 30 days holiday + local national holidays, • Flexible Hours, • Equity, • Remote working, • Home equipment set up

Job Title - Senior Golang Engineer Rate - Competitive (Outside IR35) Location - Remote from UK & Europe Role Overview The Senior Backend Engineer will play a key role in building and scaling robust backend systems for a high-growth, multi-region platform. This position focuses on developing resilient, high-throughput services within a distributed, event-driven environment, supporting critical domains such as payments, accounts, and transaction processing. Core Responsibilities • Design, develop, and optimise backend services using Golang., • Build scalable, fault-tolerant microservices within a distributed architecture., • Develop and maintain RESTful APIs and internal service-to-service communication layers., • Work across core platform areas including payments, accounts, ledger, and risk/compliance systems., • Ensure code quality through peer reviews, testing, and adherence to engineering best practices., • Monitor and support live systems, troubleshooting and resolving production issues., • Collaborate closely with cross-functional teams including Product, DevOps, and Compliance. Required Experience • Strong hands-on experience developing backend services in Golang., • Solid understanding of concurrency, system performance, and efficient resource management., • Proven experience designing and building microservices and distributed systems., • Experience working with containerisation and orchestration tools such as Kubernetes., • Familiarity with cloud platforms (AWS, GCP, or Azure)., • Previous experience in fintech, regulated environments, or high-transaction systems is highly desirable. If this is of interest then please apply, we would love to hear from you!

Job Title: Senior DevOps & Back-end Engineer – Strategy & Corporate Finance Who You’ll Work With You’ll join clients Strategic Growth Hunter team, a high-impact engineering and analytics squad that designs and scales cloud-native solutions powering our financial intelligence platforms. We work with cutting-edge tools to automate infrastructure, manage scalable deployments, and ensure robust performance under heavy data loads. Our environment encourages autonomy and technical excellence — whether in AWS architecture, container orchestration, or backend services built in Scala and Python. Join us to help redefine how organizations create value, combining deep analytics, DevOps automation, and scalable architecture to drive impact across Strategy & Corporate Finance. What You’ll Do As a Senior DevOps & Back-end Engineer, you’ll be responsible for building, automating, and maintaining reliable, scalable cloud environments while contributing to backend development where needed. Your key responsibilities will include: DevOps & Cloud Infrastructure (≈80%) ∙ Design, build, and maintain AWS-based infrastructure supporting high-performance analytics platforms. ∙ Use Terraform for Infrastructure as Code (IaC), ensuring reproducibility and scalability of deployments. ∙ Implement, manage, and optimize Kubernetes clusters for container orchestration and microservice scaling. ∙ Automate CI/CD pipelines, monitoring, and alerting using industry best practices. ∙ Configure and manage databases — PostgreSQL, MongoDB, and Kafka — ensuring reliability, replication, and performance. ∙ Champion cloud security, cost optimization, and disaster recovery best practices. Software Development (≈20%) ∙ Contribute to backend service development, primarily using Scala and Python. ∙ Develop and maintain APIs, microservices, and data processing pipelines integrated with the DevOps stack. ∙ Collaborate with other engineers to ensure code quality, maintainability, and smooth integration with CI/CD systems. ∙ Support cross-functional teams (product, analytics, design) by implementing scalable and efficient solutions. Qualifications Required DevOps Skills ∙ Strong DevOps expertise in AWS, Terraform, and Kubernetes (EKS preferred). ∙ Experience in managing databases (MongoDB, PostgreSQL), and queues (Kafka). ∙ Proficiency in CI/CD tools (GitHub Actions is a preference.). ∙ Hands-on experience with containerization (Docker), Linux-based containers and infrastructure automation. ∙ Solid understanding of monitoring and logging frameworks. Required Development Skills ∙ Experience in development and debugging of JVM-based applications (Scala preferred) and Python applications. ∙ Familiarity with RESTful API design, microservices architecture, and data-intensive backend systems. General ∙ Strong analytical and problem-solving skills. ∙ Eager to learn new technologies. ∙ Effective communicator with both technical and non-technical audiences. ∙ Comfortable in Agile, high-paced, collaborative environments. ∙ Fluent in English (written and spoken).

A leading financial services provider is seeking a skilled QA Engineer to join its Tick History development team in Nottingham.The role involves designing and implementing test plans for Java applications, developing automated tests, and ensuring quality across cloud environments like AWS and Azure.

We are partnering with a leading organisation in the data and analytics space to recruit an experienced Senior Site Reliability Engineer. This is an opportunity to join a highly collaborative, technically strong SRE function working on large‑scale, cloud‑native platforms that support high‑volume, high‑speed data services. The team is expanding due to increased workload, and this role will become the eighth member of an established, supportive engineering group. You’ll play a key part in driving cloud automation, improving system reliability, and supporting critical production environments. Key Responsibilities Build, maintain, and improve AWS cloud infrastructure Develop automation using Terraform, Ansible, and Python Support incident response and troubleshoot performance issues Deliver routine maintenance, including patching and upgrades Enhance CI/CD pipelines (GitLab CI, GitHub CI) Contribute to Agile ceremonies and take ownership of user stories Implement new technologies and solutions to improve system reliability What You Will Bring Strong commercial experience with AWS (essential) Solid understanding of Linux systems (RHEL, CentOS or similar) Scripting skills, ideally Python Hands‑on experience with Terraform and/or Ansible Proficiency with Docker Exposure to CI/CD tooling and Agile ways of working Background in software engineering, systems engineering, or previous SRE roles Minimum 4 years’ experience in a relevant technical discipline Please note, this role is not suitable for candidates with Windows‑only experience or Engineers without hands‑on AWS or Linux exposure. Remote working is supported, with an on-site presence in Nottingham, ideally once per week preferred

Infrastructure Engineer Akkodis are currently working in partnership with a leading service provider to recruit an experienced Infrastructure Engineer to join their leading cloud services team. Please note this is a hybrid role where you will be required to attend the office 3 days a week. The Role As an Infrastructure Engineer you will be responsible for the design, implementation, and support of robust and secure IT infrastructure solutions that underpin operations. You will provide technical leadership within the infrastructure team, ensuring systems are scalable, resilient, and aligned with business requirements. Working closely with the Infrastructure Manager, you will contribute to strategic projects, mentor junior staff, and act as a subject matter expert across a range of technologies. The Responsibilities Design, implement, and maintain infrastructure solutions including servers, networks, storage, and cloud services. Administer, maintain, and support Windows and Linux servers across physical, virtual, and cloud environments. Act as a technical lead on infrastructure projects and initiatives. Provide 3rd line support and act as an escalation point for complex technical issues. Maintain and support core services such as DNS, DHCP, file systems, and backup solutions. Perform system updates, patching, and configuration management to ensure security and stability The Requirements Extensive experience in infrastructure engineering across on-premises and cloud environments. Strong understanding of system architecture, file systems, and operating system internals. Strong knowledge of Microsoft technologies (Windows Server, Active Directory, M365, Exchange). Experience with virtualisation platforms (e.g. VMware, Hyper-V). Solid understanding of networking principles and technologies (LAN/WAN, firewalls, VPNs). Experience with cloud platforms (Azure, AWS) and hybrid environments. Excellent troubleshooting and problem-solving skills. Strong documentation and communication abilities. If you are looking for an exciting new challenge to play a pivotal part in a market leading organisation please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website

You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/ Fargate, and RDS. We are looking for a technically capable and detail-oriented

Proven experience as a Cloud Engineer or similar AWS-focused role. Knowledge of cloud networking, security, and monitoring. DevOps Engineer, Solutions Architect).

The role involves driving engineering practices, mentoring other engineers, and modernizing cloud infrastructure by moving from Azure to AWS. A leading InsureTech company in London is looking for a Senior Platform Engineer to join their agile team. Ideal candidates will have strong experience with A

The ideal candidate will have over 4 years of experience in network engineering along with a strong understanding of AWS or Azure. A leading IT management firm in the United Kingdom is seeking a skilled Network Engineer to design, implement, maintain, and support network infrastructure.

A leading technology firm in Greater London is seeking an AWS Cloud DevOps Engineer to enhance AI capabilities. Ideal for candidates with 2-4 years of experience in cloud engineering and basic AWS knowledge. This role involves supporting cloud infrastructure, building CI/CD pipelines, and collaborat

A fast-growing technology company in London seeks a skilled Cloud Engineer to build and manage scalable AWS infrastructure. Candidates should have strong Python and TypeScript skills and a proven track record in cloud engineering. The role involves developing CI/CD pipelines and implementing infrast

A leading consultancy firm is looking for an experienced AWS Cloud Infrastructure DevOps Engineer in Norwich for a hybrid position. The successful candidate will contribute to project delivery and utilize a strong understanding of AWS services and tools. This role involves building, delivering, and

AWS Cloud Engineer – 6‑month initial contract, £450‑500k Inside IR35, onsite 2 days per week – Cambridge. You will be supporting both on‑prem VMware environments & AWS Cloud services. Manage and optimise AWS services, especially EC2, EBS, IAM basics, and Security Groups.

A technology consultancy is seeking an experienced Software Engineer / Developer in the UK, offering a hybrid/remote role. The ideal candidate will have active SC or DV clearance and strong skills in AWS, Python, and Terraform. Responsibilities include designing cloud-native applications and develop

A financial services company is urgently seeking a Network Automation Engineer to work on network solutions in both cloud and on-premises environments. This mid-senior level role involves architecting networking services across various platforms, including AWS, and configuring firewalls. The ideal c

Experience: 3+ years in AWS Cloud Engineering. Cloud Network Engineer – AWS, Terraform, Python, IaC. We are seeking a AWS Cloud Network Engineer to join a growing team building and scaling the most secure, high-performance global network using best in class technologies combined with outstanding s