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Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking 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. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We 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. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Principal Engineer/Architect Leeds (Hybrid - 2 days per week in office) £70,000 - £80,000 + strong pension + private healthcare My client is continuing to expand their SaaS platform and is now seeking a Principal Engineer/Architect to take ownership of the technical direction, architectural evolution and innovation strategy. This is a senior, hands-on technical leadership role focused on ensuring the platform remains scalable, maintainable and performant as the organisation grows. You will work across all engineering teams to define architectural standards, guide complex technical decisions and lead initiatives that strengthen performance, reliability, technical sustainability and innovation. What will you do in the role? Architecture Governance • Define and maintain system architecture standards, • Guide the evolution of platform architecture, • Support major technical decisions across engineering teams, • Define and maintain a technical debt roadmap, • Lead initiatives such as Front End modernisation and system restructuring, • Identify and resolve system performance bottlenecks, • Lead database performance optimisation efforts, • Mentor developers and Team Leads, • Support problem-solving for complex technical challenges, • Work closely with Platform Engineers on infrastructure improvements, • Enhance CI/CD architecture and deployment processes, • Support development of data platform capabilities (eg, ClickHouse, ElasticSearch), • Explore AI and automation opportunities within the platform, • Define and lead the technical R&D strategy, • Identify and evaluate emerging technologies, tools and architectural approaches, • Run proofs-of-concept to validate new ideas, • Translate R&D findings into deliverable capabilities, • Establish structured experimentation with clear success criteria, • Keep the organisation informed of relevant technology trends Essential • 6+ years' experience in software development, • Experience designing and evolving large-scale systems, • Strong background in .NET and cloud-based architectures, • Experience with performance tuning and optimisation, • Degree in Computer Science or equivalent experience, • Deep understanding of software architecture principles, • Strong coding ability (C#, SQL, etc.), • Experience with system integration patterns, • Strong analytical and problem-solving skills, • Ability to balance innovation with delivery needs, • Strong ability to assess new technologies and communicate trade-offs, • Strong understanding of performance optimisation techniques, • Experience with AWS, • Experience with distributed systems, • Experience with data platforms or analytics systems, • Experience contributing to R&D or innovation initiatives, • Experience evaluating and prototyping new technologies, • Exposure to AI/ML and emerging technology trends, • Highly analytical and detail-oriented, • Strong technical leadership presence, • Ability to influence without direct authority, • Passion for engineering excellence, • Pragmatic and outcome-focused, • Curious and forward-thinking mindset, • Comfortable operating in ambiguity Please note: Sponsorship is not available for this role. Applicants must already have the right to work in the UK. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Head of Engineering A fast-growing cyber security SaaS business is looking for a Head of Engineering to lead its technical function through the next stage of growth. This is a key leadership role with real influence across people, process, product delivery and long-term technical direction. Role Overview: • Location: Central Leeds, Hybrid. 2-3 days per week in the office., • Package: £65,000–£75,000 + benefits, • Lead and grow an engineering team responsible for building, maintaining and improving a high-performing SaaS platform, • Shape the technical direction of the business as it scales, ensuring the right processes, tools and standards are in place, • Drive software delivery across the full stack, from front-end applications through to infrastructure and cloud services, • Improve performance, reliability and quality across the platform, • Build a collaborative engineering culture with strong practices around pairing, code reviews and design reviews, • Work closely with teams across the wider business to deliver products and features that create real customer value, • Develop and mentor engineers, providing regular feedback and creating opportunities for growth, • Introduce and embed AI into engineering workflows to improve productivity and delivery, • Oversee technical integrations following acquisitions and help unify different systems and technologies, • Minimum of 1 years of experience in a technical. leadership role with responsibility for people, delivery and technical direction, • Strong background as a Software Engineer before moving into leadership., • Experience working with technologies such as .NET, React, NodeJS, Typescript, Linux,SQL Server and cloud infrastructure, • Experience introducing AI into engineering teams or development processes, • Strong knowledge of agile delivery methods and software development lifecycle best practice, • Experience building technical strategies and providing architectural oversight, • Strong understanding of modern cloud-based environments, particularly AWS and serverless technologies, • Ability to lead across a broad technical stack including APIs, databases, front-end applications and infrastructure, • Strong communication skills with the ability to work closely across technical and non-technical teams, • Competitive salary with regular pay reviews, • Flexible hybrid working with a central Leeds office, • 25 days holiday plus pension, • Dedicated personal development budget for courses, certifications and conferences, • A growing business where you can have real impact on the technical direction and culture, • Social events and a collaborative, supportive working environment We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking 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. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We 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. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Senior .NET Software Engineer (AI Experience) We're working with an exciting organisation based in Leeds who are looking for a talented Senior .NET Developer with strong Angular and/or React expertise, and experience (or strong interest) in AI-driven solutions to join their growing team. This hybrid Leeds-based role offers the chance to work on modern, scalable systems while helping shape innovative, AI-powered products. The Role You'll be responsible for designing and building high-quality, scalable applications across the full stack. This includes developing robust backend services with .NET and ASP.NET, creating responsive front-end experiences, and integrating AI capabilities into real-world applications. Key Responsibilities • Develop and maintain applications using .NET (C#) and ASP.NET / ASP.NET Core, • Build modern front-end interfaces with Angular and/or React, • Design and develop RESTful APIs and backend services, • Work with SQL Server and/or NoSQL databases, • Integrate AI/ML services (e.g., APIs, automation, intelligent features), • Collaborate with cross-functional teams to deliver end-to-end solutions, • Mentor junior developers and contribute to best practicesRequirements, • 3+ years' experience in software development, • Strong experience with .NET / C# and ASP.NET / ASP.NET Core, • Solid front-end development experience with Angular and/or React, • Experience with Entity Framework / Entity Framework Core, • Knowledge of HTML, CSS, JavaScript/TypeScript, • Familiarity with REST APIs, Git, and modern development workflows, • Experience or strong interest in AI technologies (e.g., OpenAI APIs, ML integrations)Nice to Have, • Experience with Azure (App Services, Functions, DevOps) or AWS, • Knowledge of Docker / Kubernetes, • Experience with Microservices architecture, • Familiarity with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions), • Understanding of message queues (e.g., RabbitMQ, Service Bus)What's on Offer, • Competitive salary (£50,000 - £60,000), • Hybrid working (2 days onsite in Leeds), • Opportunity to work on cutting-edge AI-driven projects, • Supportive, collaborative engineering culture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040. To learn more about how we can supercharge progress for you, visit Job Title- Infrastructure Engineer Location- Edinburgh, Leeds, Halifax, Manchester or Bristol Hybrid mode- 2 days week (Work from client location) Infrastructure Engineer role focused on secure web access and SASE engineering. The role is responsible for the end-to-end design, build, deployment, and lifecycle management of technologies that enable secure web access for both users and machine-based traffic. This includes SASE platforms, secure enterprise browser solutions, and controls governing human and machine to machine access. The role requires strong hands‑on engineering capability and experience with automation and code‑driven delivery. Role Overview The role is responsible for the engineering, configuration, deployment, and lifecycle management of technologies enabling secure colleague and machine web access. This includes involvement across SASE components, secure enterprise browsing solutions, and controls supporting both human and machine‑to‑machine traffic. As the organisation moves from ClickOps to DevOps, the role requires strong hands‑on engineering capability and experience with automation and code‑driven delivery. Key Responsibilities Technical Delivery & Engineering Excellence • Contribute hands‑on DevOps engineering expertise using Infrastructure as Code, Policy as Code, CI/CD, API‑driven automation, automated testing, and observability., • Build, enhance, and maintain web access protection infrastructure, including proxy services, protected corporate browsers, and web/API traffic controls., • Evolve infrastructure and security patterns for internet connectivity, B2B integrations, and browser/policy control., • Support product and platform teams with technical input across design, architecture, and roadmap evolution., • Implement policy‑as‑code and configuration‑as‑code approaches to remove reliance on manual portal‑based administration., • Support the monitoring, stability, and continual improvement of SASE services, secure enterprise browser technologies, and machine‑traffic infrastructure., • Support incident, change, and problem management activities for web access protection services., • Ensure services meet resilience, documentation, compliance, and audit requirements., • Implement and maintain security and access policies for web traffic aligned to enterprise risk frameworks., • Integrate with SIEM and analytics platforms to support threat detection and response., • Balance security controls with usability, particularly in the browser and colleague web‑access journey., • Strong hands‑on modern engineering experience, including CI/CD tooling (e.g., GitHub), Terraform, Python, infrastructure/policy/config‑as‑code., • Experience working with SASE platforms (e.g., Zscaler, Palo Alto, Blue Coat, McAfee Web Gateway/SkyHigh) and secure enterprise browsers (e.g., Chrome Enterprise, Island, Talon, Edge for Business)., • Knowledge of security controls, DLP, browser isolation, and SASE patterns., • Experience contributing to incident resolution and change processes., • Experience in regulated environments., • Relevant security certifications (e.g., CISSP, CCSP).

Head of Engineering - £160k package | FinTech | Leeds/hybrid About the business: G.Digital are partnered with a global Fintech modernising an outdated sector that is expected to grow by 195% in the next 5 years. You will help building world leading AI/ML products The role? 😎 • shape a new Engineering function (tech agnostic), • shape and oversee the Tech & Architecture strategy, • oversee teams in the UK and oversees Experience you need? 👩 💻 • proven experience overseeing and scaling Software Engineering teams, • proven experience driving Tech, R&D & Architecture strategy, • previous Software Engineer with an active interest in new and emerging technologies, • experience building & delivering AI products What's in it for you? 📍Great package: up to £160k 📍Private healthcare 📍6% pension 📍Life assurance x 4 salary 📍29 days + bank holidays + buy and sell options 📍 Hybrid working - Leeds If you'd like to find out more, drop me a message on: Head of Engineering - £160k package | FinTech | Leeds/hybrid

Our New Chapter: Jaywing and Stubben Edge Group Jaywing, an award-winning marketing agency, is now a proud part of Stubben Edge Group, a cutting-edge fintech innovator. This combination has created a unique powerhouse, blending deep expertise in marketing technology with the dynamic, high-growth world of finance and applied AI. This is an incredibly exciting time to join us. We are at the start of a journey to integrate these two worlds, creating solutions that will redefine both industries. The Opportunity: Work at the Intersection of FinTech, MarTech, and AI We are looking for a ambitious Midweight Software Engineer to join our Research and Development team. This team forms the critical core of our award-winning Accelerator Lab, placing you at the very heart of our innovation. The purpose of this role is to design, develop, and implement software solutions that bridge the gap between our marketing and financial technology domains. You will have direct access to cutting-edge AI development, moving beyond just using AI tools to actively building with them. You'll gain hands-on experience with agentic AI frameworks to create intelligent systems that drive optimisations across every element of our newly expanded group. Key Responsibilities · Build a Unified Future: Develop, test, and deploy robust and scalable applications using Node.js, PHP, and Python to serve both marketing clients and fintech platforms. · Pioneer with Applied AI: Utilise Python and leading agentic frameworks to design, build, and deploy intelligent automation and optimisation engines for the entire group. · Integrate and Unite Systems: Play a key role in integrating disparate software systems, APIs, and data sources across the group, solving unique challenges that arise at the intersection of marketing and finance. · Collaborate and Communicate: Work effectively in an agile environment with diverse teams of developers, data scientists, and financial experts, translating business needs into technical specifications. · Ensure Code Quality: Adhere to company coding standards, perform code reviews, and maintain clear technical documentation to ensure the long-term quality and maintainability of our systems. · Provide Technical Support: Troubleshoot and resolve issues in production systems, ensuring high levels of performance and reliability. Skills and Qualifications We're looking for a Midweight Software Engineer with a passion for building things and a curiosity that extends beyond a single industry. Essential: · A minimum of 2-3 years of commercial experience in a software development role. · Proficiency in at least one of the following: Node.js, PHP, or Python. · Experience with modern PHP frameworks (e.g., Laravel, Symfony). · Strong analytical and problem-solving abilities. · Excellent communication skills, with the ability to work effectively in a collaborative team. · Experience with relational databases (e.g., MySQL) and version control with Git. · Comfortable working with HTML and CSS to implement and tweak front-end templates. Desirable: · An AI Enthusiast: A genuine excitement for the potential of AI. You don't need to be an expert, but you have a strong desire to learn and apply AI methodologies in your work. · Familiarity with front-end JavaScript frameworks (e.g., React, Vue.js). · Knowledge of cloud platforms (particularly AWS) and containerisation (Docker). Why Join Us? The Jaywing & Stubben Edge Advantage · Become an AI Practitioner: Move beyond theory. This role offers practical, career-defining experience with agentic AI frameworks—one of the most sought-after specialisms in technology today. · A Unique Career Trajectory: Be at the forefront of a rare industry convergence. The skills you gain at the intersection of FinTech, MarTech, and AI will make you exceptionally valuable. · A Vibrant & Supportive Culture: Join a friendly, social, and collaborative team that is excited about the future and values every member's contribution. · Excellent Benefits: We're committed to our people. You'll receive a competitive benefits package including: · 25 days of holiday (increasing by one day per year of service up to 30), plus bank holidays · Healthcare cash plan · A generous company pension scheme · Life assurance cover · A truly flexible, hybrid working model · Regular company-wide social events

Do you want to work with the 15th fastest-growing startup in Europe? If so, you’re in the right place. AssetCool is one of Europe’s fastest-growing startups, building the fastest path to more power on the grid. We’re tackling one of the most urgent challenges in the global energy transition: grid congestion. Electricity demand is rising fast; driven by electrification, AI and data centres. While traditional grid upgrades take years, demand exists today. The grid isn’t ready. AssetCool delivers robotic grid upgrades that physically increase the capacity of existing transmission lines by up to 30%, without rebuilding infrastructure. Using advanced robotics and proprietary photonic coatings, we unlock data-centre-scale capacity in weeks to months, not years and at a fraction of the cost and disruption of conventional approaches. Our technology goes beyond capacity. We reduce losses, prevent corrosion, cut corona noise and generate high-value operational data that supports smarter grid operation and maintenance. Our systems are already deployed globally, and we just raised a big funding round from leading energy and climate investors. AssetCool is one of the most innovation-driven companies in the UK energy sector and we’re scaling fast! If you’re ambitious, mission-driven and excited to work on real deployments that strengthen the industry that really matters, AssetCool is where you can make it happen. Role Overview As a Test & Validation Engineer, you play a critical role in ensuring the safety, reliability, and performance of our CapacityN robotic platforms. You will design and execute test plans, build test rigs, collect and analyse data, and provide clear feedback to design teams. This role requires strong hands-on skills, analytical thinking, and cross-disciplinary knowledge across mechanical, electrical, and software systems. Key Responsibilities • Develop, document, and execute test protocols for robotics and mechatronics subsystems including actuators, sensors, communication, control systems, and power components., • Design and implement test rigs and fixtures for platform stress testing and validation in lab and field., • Perform system-level reliability tests: endurance, vibration, and environmental, EMI/EMC., • Collect, process, and analyse large test dataset; prepare reports with actionable insights for design teams., • Collaborate with engineering, software development, and production engineers to close the loop between testing and product improvements., • Ensure compliance with safety standards and applicable regulations., • Support root cause analysis and troubleshooting during development and field deployment., • Maintain test equipment, calibration, and documentation, and support establishing testing standards across development. Key Skills and Experience Required • A Degree in Mechatronics, Mechanical, Electrical, Control Systems, Instrumentation Engineering, or related field., • 3+ years’ experience in test & validation, R&D, systems engineering, ideally with hands-on experience of ground and aerial robotic systems., • Strong practical experience in actuators, sensors, power electronics, embedded systems, instrumentation, and data acquisition., • Experience with test automation and data analysis tools (MATLAB, LabView, Python) or similar tools., • Familiarity with DAQ systems, load and torque sensing, IMU, and motion tracking., • Experience with CAD software (e.g., SolidWorks, Fusion 360)., • Ability to interpret engineering drawings, electrical schematics, and system block diagrams., • Excellent problem-solving, documentation, and communication skills. Desirable Skills • Experience with robotics platforms (mobile robots, UAV, industrial automation)., • Familiarity with embedded systems and debugging hardware/software integration (e.g., Arduino, Raspberry Pi, Nvidia Jetson)., • Knowledge of reliability engineering, FMEA, HALT/HASS testing., • Understating of operation and safety certification and standards (IEEE, ISO, IEC)., • Understanding of IP-rated enclosure design, vibration/thermal management, and EMI, • Programming experience in C/C++ or Python for designing test workflows. Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We are not looking for agency support currently.

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Role – Azure Data Engineer Technology – MS Fabric, Azure, PowerBI Location – Leeds, UK Job Description Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Your Role As an Azure & Microsoft Fabric Lead Developer, you will lead the design and development of enterprise‑grade data pipelines, lakehouses, and analytics solutions using Azure Data Services and Microsoft Fabric for client program. You will be responsible for building scalable ingestion, transformation, governance, and reporting layers aligned to client standards, workforce analytics requirements, and Trust‑level data governance. You will collaborate closely with architects, SMEs, BI developers, data engineers, platform teams, and external partners (Microsoft) to ensure high‑quality delivery of modern analytics platforms. Required -Strong hands-on expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL, Synapse. -Proven experience designing and developing solutions using Microsoft Fabric: o Lakehouse o Data Pipelines o Dataflows Gen2 o Warehouse (SQL Endpoint) o OneLake governance -Ability to translate business requirements into technical architecture and detailed design. -Expertise in building scalable ingestion frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. -Strong programming skills in PySpark, SQL, Python. -Experience implementing medallion architecture, delta lakes, and metadata‑driven pipelines. -Hands-on experience with DQ frameworks, validation rules and reconciliation logic. -Ability to integrate Azure/Fabric datasets with Power BI semantic models and dashboards -Experience building reusable datasets for Client domains such as HR, Payroll, Workforce, Clinical, or Operational reporting -Experience with CI/CD using Azure DevOps (Repos, Pipelines, Release Management) -Ability to work with data architects, platform teams and product owners to deliver high-quality designs Preferred -Experience delivering technology programs within healthcare organizations in Data. -Experience delivering analytics in Microsoft Fabric for enterprise-scale healthcare clients -Experience with Fabric Admin Center, OneSecurity model, Capacity planning. Certifications: o DP-203 (Azure Data Engineer) o Fabric Analytics Engineer Associate o Azure Solutions Architect / Databricks certifications -Exposure to secure landing zones, data masking, PII handling, and access governance. Overview Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. “By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: ___.”

Do you want to work with the 15th fastest-growing startup in Europe? If so, you’re in the right place. AssetCool is one of Europe’s fastest-growing startups, building the fastest path to more power on the grid. We’re tackling one of the most urgent challenges in the global energy transition: grid congestion. Electricity demand is rising fast; driven by electrification, AI and data centres. While traditional grid upgrades take years, demand exists today. The grid isn’t ready. AssetCool delivers robotic grid upgrades that physically increase the capacity of existing transmission lines by up to 30%, without rebuilding infrastructure. Using advanced robotics and proprietary photonic coatings, we unlock data-centre-scale capacity in weeks to months, not years and at a fraction of the cost and disruption of conventional approaches. Our technology goes beyond capacity. We reduce losses, prevent corrosion, cut corona noise and generate high-value operational data that supports smarter grid operation and maintenance. Our systems are already deployed globally, and we just raised a big funding round from leading energy and climate investors. AssetCool is one of the most innovation-driven companies in the UK energy sector and we’re scaling fast! If you’re ambitious, mission-driven and excited to work on real deployments that strengthen the industry that really matters, AssetCool is where you can make it happen. Role Overview We are seeking a Robotics Integration Engineer to join our multidisciplinary R&D engineering team. This role focuses on integrating mechanical, electrical, and software subsystems into robust, field‑deployable robotic platforms. You will work across the full system lifecycle - from early prototyping and lab integration to field testing and operational deployment - ensuring that complex robotic systems perform reliably in real‑world environments. The ideal candidate is hands‑on, systems‑oriented, and comfortable bridging gaps between hardware, firmware, and software teams. This role is well suited to engineers passionate about turning advanced robotics concepts into reliable, production‑ready systems. Key Responsibilities • Integrate mechanical, electrical, sensing, and compute subsystems into complete robotic platforms., • Lead system‑level integration activities, including bring‑up, debugging, and performance verification., • Interface with mechanical, electronics, firmware, and software engineers to resolve integration issues., • Develop and execute integration, verification, and validation (IV&V) plans., • Integrate sensors, actuators, compute modules, power systems, and communication interfaces., • Perform system troubleshooting across hardware, firmware, and software boundaries., • Support field trials and operational testing, including data collection and issue resolution., • Contribute to system architecture definition and interface specifications., • Produce and maintain system documentation, integration procedures, and test reports. Required Skills & Experience • BSc or MSc in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field., • 3+ years of industrial experience in robotics, preferably, in field robotics., • Proven industrial experience integrating robotic or electromechanical systems., • Strong understanding of robotics subsystems: sensors, actuators, power, compute, and communications., • Hands‑on experience with system bring‑up, debugging, and fault isolation., • Experience working with embedded systems and low‑level interfaces (CAN, UART, SPI, I2C, Ethernet)., • Familiarity with Linux‑based systems and command‑line tools., • Ability to read and interpret schematics, wiring diagrams, and mechanical drawings., • Experience integrating mobile robots, UAVs, or industrial robotic systems., • Background in deploying robotics systems in harsh or outdoor environments., • Experience supporting lab testing and outdoor/field testing of robotic systems., • Strong documentation and communication skills., • Ability to work effectively in cross‑functional engineering teams. Preferred Skills & Experience • Experience with sensor fusion, perception systems, or autonomy stacks., • Experience with embedded programming and machine learning, C++, Python., • Familiarity with safety‑critical or high‑reliability systems., • Experience in wired and wireless communication for mobile robotics., • Experience working in a startup environment., • Knowledge of EMI/EMC considerations and ruggedised system design., • Experience with test automation, data logging, and performance analysis. Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out. We are not looking for agency support currently.

Do you want to work with the 15th fastest-growing startup in Europe? If so, you’re in the right place. AssetCool is one of Europe’s fastest-growing startups, building the fastest path to more power on the grid. We’re tackling one of the most urgent challenges in the global energy transition: grid congestion. Electricity demand is rising fast; driven by electrification, AI and data centres. While traditional grid upgrades take years, demand exists today. The grid isn’t ready. AssetCool delivers robotic grid upgrades that physically increase the capacity of existing transmission lines by up to 30%, without rebuilding infrastructure. Using advanced robotics and proprietary photonic coatings, we unlock data-centre-scale capacity in weeks to months, not years and at a fraction of the cost and disruption of conventional approaches. Our technology goes beyond capacity. We reduce losses, prevent corrosion, cut corona noise and generate high-value operational data that supports smarter grid operation and maintenance. Our systems are already deployed globally, and we just raised a big funding round from leading energy and climate investors. AssetCool is one of the most innovation-driven companies in the UK energy sector and we’re scaling fast! If you’re ambitious, mission-driven and excited to work on real deployments that strengthen the industry that really matters, AssetCool is where you can make it happen. Role Overview This is a senior technical role within AssetCool’s robotics engineering team, leading the mechanical design of systems that operate directly on live high-voltage transmission lines. You will take ownership of mechanical architecture from concept through to field deployment and production, working closely with electronics, embedded software, materials and high-voltage engineering teams. This is a hands-on role suited to an engineer who enjoys solving real-world mechanical challenges in complex outdoor environments. Key Responsibilities Mechanical architecture & system design • Lead the design of conductor-traversing robots and drone-deployed payloads, • Develop mechanisms capable of navigating transmission line hardware and harsh outdoor environments, • Ensure mechanically robust designs suitable for operation in high electric-field environments, • Lead materials selection and structural design for durability, environmental exposure and fatigue, • Perform FEA, tolerance analysis and define validation strategies, • Apply DFM/DFA principles and support transition from prototype to production, • Work closely with electronics, embedded, coatings and field teams, • Contribute to system design reviews, risk assessments and mentoring of junior engineers Required Skills & Experience • BEng / MEng in Mechanical Engineering or related discipline., • 7+ years professional experience in mechanical design of complex systems., • Ownership of products deployed in harsh or outdoor environments., • Strong CAD proficiency (SolidWorks, Fusion 360, or equivalent)., • Experience with:, • Precision mechanisms, • Gear systems and motor integration, • Structural analysis (FEA), • Composite material design, • Strong understanding of:, • Tolerance stack-up, • Fatigue and durability, • Environmental sealing, • Experience designing for vibration and shock., • Hands-on prototype development and debugging experience., • Ability to make pragmatic engineering trade-offs in fast-moving environments. Preferred Skills & Experience • Experience in robotics, aerospace, automotive or industrial systems, • Experience designing for high-voltage or electrically sensitive environments, • Knowledge of composite materials and galvanic isolation, • Experience with IP-rated enclosure design, • Experience working with overseas manufacturing partners, • Experience integrating payloads with drones Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out. We are not looking for agency support currently.

Do you want to work with the 15th fastest-growing startup in Europe? If so, you’re in the right place. AssetCool is one of Europe’s fastest-growing startups, building the fastest path to more power on the grid. We’re tackling one of the most urgent challenges in the global energy transition: grid congestion. Electricity demand is rising fast; driven by electrification, AI and data centres. While traditional grid upgrades take years, demand exists today. The grid isn’t ready. AssetCool delivers robotic grid upgrades that physically increase the capacity of existing transmission lines by up to 30%, without rebuilding infrastructure. Using advanced robotics and proprietary photonic coatings, we unlock data-centre-scale capacity in weeks to months, not years and at a fraction of the cost and disruption of conventional approaches. Our technology goes beyond capacity. We reduce losses, prevent corrosion, cut corona noise and generate high-value operational data that supports smarter grid operation and maintenance. Our systems are already deployed globally, and we just raised a big funding round from leading energy and climate investors. AssetCool is one of the most innovation-driven companies in the UK energy sector and we’re scaling fast! If you’re ambitious, mission-driven and excited to work on real deployments that strengthen the industry that really matters, AssetCool is where you can make it happen. Role Overview We are hiring a Project Engineer to support the delivery of major commercial deployments by coordinating technical documentation, reporting, and task tracking. These projects involve field deployment of our in-house robotic systems and specialist coatings across power networks. Based within the Applications Engineering team, you’ll be responsible for making sure the day-to-day delivery work is organised, well-documented, and progressing. This is not a management role — it’s a hands-on, detail-oriented position ideal for an early-career engineer looking to develop practical project experience while working on world-first technology. Key Responsibilities Project Delivery and Coordination • Carry out day-to-day coordination tasks to keep engineering and field activities organised, • Update and maintain project plans, task lists, trackers, and risk logs, • Prepare and maintain technical documents, drawings, and deployment records, • Collate and organise evidence for grant claims and project reporting, • Support internal coordination across engineering, operations, and field teams, • Help schedule meetings, take notes, and follow up on actions, • Use project management tools to record progress and highlight delays or issues, • Maintain version control and document filing for all technical records, • Identify simple process improvements to help the team work more efficiently Required Skills & Experience • Engineering degree or equivalent technical background (e.g. Mechanical, Electrical, Civil, Aerospace), • Strong organisational skills and attention to detail, • Confident with spreadsheets, trackers, and document editing tools (e.g. Excel, Word, Google Docs), • Strong written and verbal communication skills, • Able to take ownership of tasks and see them through to completion with high degree of autonomy, • Comfortable chasing updates, following up actions, and keeping records tidy and accurate Preferred Skills & Experience • 2+ years’ experience in a technical or project support role, • Familiarity with project management tools such as ClickUp, • Experience preparing technical documentation, reports, or engineering admin, • Exposure to engineering delivery environments (e.g. infrastructure, manufacturing, robotics, utilities) Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We are not looking for agency support currently.

Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions\n\n• Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls.\n\n• Demonstrated ability to benchmark LLM performance, evaluate model choices, run structured behavioural testing and interpret model outputs to inform safe and effective deployment.\n\n• Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies, and the ability to translate them into practical safeguards.\n\n• Strong understanding of cloud-native AI solutions and proven experience delivering solutions on Azure, AWS and Google Cloud, ensuring alignment to enterprise standards, security controls and platform guardrails.\n\n• Demonstrated ability to engineer and optimise RAG’s, including vector database design, embedding strategies, retrieval optimisation and advanced orchestration patterns for accuracy and reliability.\n\n• Strong understanding of data engineering, governance, lineage, data quality and privacy frameworks, ensuring AI workloads are built on compliant, high-integrity data foundations.\n\n• Proven experience designing secure, resilient and scalable AI, embedding security-by-design, operational guardrails and platform-level controls.\n\n• Strong ability to challenge solution designs, model selections and vendor proposals, using evidence-based critique, benchmarking and review.\n\n• Demonstrated ability to communicate complex AI, concepts in clear, concise terms for senior leaders, governance forums and non-technical stakeholders.\n\n• Demonstrated ability to operate effectively in fast-changing, ambiguous technical environments, providing clear direction, informed judgement and architectural leadership.\n\n• Proven experience mentoring uplifting AI capability and embedding repeatable best-practice patterns across teams.\n\n• Excellent stakeholder management and communication skills, including senior-level engagement. • Commercial awareness and a value-driven mindset.\n\n• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise

.NET Developer – Leeds, Yorkshire (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Established in 1962 our client is a leading global media company; its commercial arm comprises of some of the largest television channels across the Globe and market leading cinema screen advertising businesses. We are seeking several .NET Developer to work alongside Microsoft's very own consultants on the launch of a brand new online application that will allow its viewers to screen and download its hugely popular TV shows. .NET Developer applicants should be experienced in: .NET, .NET Core, C# and Azure SQL. You should have a strong grasp of object orientated (OO) development principles. Our client can provide you with industry recognized training in: .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Agile, TDD, BDD and Azure Cosmos DB. You will follow a structured a career development programme with the view to being promoted to the position of Team Leader / Development Manager of your own department within 12 months. This is an exciting opportunity to work on a ground breaking Greenfield project that has attracted much attention in the trade press. Location: London, UK / Remote Working Salary: £40,000 - £55,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC NC/SB/LEEET

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.

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.

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. Если ты работаешь с Unity, но хотел бы попробовать свои силы в С++, мы готовы тебе помочь. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced microLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end-to-end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLED’s from lab innovation to high-volume production. Our future is even brighter. We believe MicroLED’s will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Lead, • Grow, • Trust Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: £100–£130k base + growth trajectory Principal: £130–£170k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

Machine Learning Engineer (NLP) Location: remote only within the UK Salary: up to £100,000 Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. You will be responsible for developing and refining the NLP algorithms and infrastructure of our AI-powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross-functional teams. As Machine Learning Engineer (NLP), you will be responsible for: • Building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs, • Working with unstructured data to extract insights and build robust data pipelines, • Evaluating, tracking, and improving the performance of NLP models through MLOps, • Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution, • Communicating technical concepts and results to non-technical stakeholders, • Playing an active role in the wider team and growth of the business To be successful in this role you will have: • Building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs, • Working with unstructured data to extract insights and build robust data pipelines, • valuating, tracking, and improving the performance of NLP models through MLOps, • Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution, • Communicating technical concepts and results to non-technical stakeholders, • Playing an active role in the wider team and growth of the business, and building scalable systems, • Have experience working with Azure, AWS or GCP, • Be a relentless problem solver, understanding requirements and designing solutions, • An entrepreneurial spirit and an interest in building world-changing ethical AI solutions, • Excellent communication skills and be able to explain complex technical concepts to non-technical stakeholders, • Be detail-oriented and able to manage multiple projects simultaneously Start-up life is not for everyone! To really thrive with us you will be 'Start-up ready'. You are naturally proactive, open to change, have a continuous improvement mindset, are flexible, happy to go beyond your brief, enjoy working at pace and are comfortable with ambiguity. And finally, you will really resonate with our values: • Customer Focus - we are obsessive about delivering value and reducing complexity for customers, • Collaboration: we’re all about the team - collaborating, supporting and recognising everyone’s contributions, • Openness & Honesty: we are open, honest, and straight-talking with each other and our customers, • Authenticity & Humility: we bring our whole selves to work, and we have the humility and self-honesty to admit when we are wrong

🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨 We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of LLMs and cybersecurity, and we’re looking to connect with exceptional Full Stack Engineers across the EU. This is an early engineering hire with huge ownership, high autonomy, and the chance to shape a modern product and architecture from day one. 💸 Salary: €100,000 – €160,000 (£100-140k)+ very strong equity package 🌍 Location: Fully remote across the EU 🛠 Tech Stack: React, TypeScript, Python, AI/LLMs ✈️ Company: Quarterly offsites with a small, high-performing international team Ideal Background – B2B SaaS experience and startup mindset – 6+ years full-stack experience, can build end-to-end features – Proven REST API development with Python – Strong React + TypeScript skills – Bonus: Production level LLM integration experience – Work independently in a small, senior team, shaping architecture and performance If you're interested in joining a cutting-edge AI company and want real impact, autonomy, and technical ownership, feel free to reach out with your CV and notice period. 🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

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.

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

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.

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.

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 😊

We’re partnering with a PE-backed SaaS business in the EdTech space that is scaling quickly and investing heavily in its product and engineering function. They’re hiring to help shape technical strategy across a growing core product suite used at real scale. This is a high-impact senior IC role for someone who loves solving complex architectural problems, influencing across multiple teams, and operating at the intersection of engineering, product, and business strategy. This is not a “staff in title only” role. The business is looking for someone who can work across domains, support technical leaders, raise the architectural bar, and bring strong judgement to a fast-moving environment undergoing significant transformation - including a major push toward AI-first engineering ways of working. What you’ll be doing • Driving architecture, technical direction, and roadmaps across a complex product estate, • Partnering with Tech Leads, Product Directors, and Engineering leadership on the company’s most important initiatives, • Supporting delivery of new product areas, module rebuilds, and greenfield architectural challenges, • Coaching senior engineers and technical leads while improving engineering quality and decision-making across teams, • Helping define what AI-first software development looks like in practice, including how tooling and new workflows reshape the SDLC, • Operating as a senior technical leader across multiple teams rather than sitting in one narrow delivery lane What they’re looking for • A proven background as a Staff Engineer / Principal-level IC / senior technical leader in a scaling product business, • Strong experience in architecture, systems design, and technical strategy across multiple teams or domains, • Someone who can influence senior technical and non-technical stakeholders and turn ambiguity into momentum, • A leader who brings examples, judgement, and real-world experience not just theory, • Strong opinions on how AI changes engineering productivity, team design, and delivery, • Experience in modern product environments where quality, performance, security, and observability matter, • Exposure to technologies such as PHP, Node, React, Python, MySQL, and AWS is helpful, but this is not a language-led search

Senior GCP Platform Engineer (Azure to GCP Migration Programme) Contract or Permanent | Outside IR35 (Contract) | Fully Remote (UK Only) A leading UK cloud consultancy is delivering a major enterprise transformation programme in partnership with a global logistics organisation. This initiative is focused on a large-scale migration from Microsoft Azure to Google Cloud Platform (GCP), building modern, cloud-native platforms with strong emphasis on scalability, automation, and AI-driven capabilities. We are seeking a Senior GCP Platform Engineer to join a high-performing engineering team. This is a key role within the programme, helping to strengthen deep GCP capability within a team that is currently Azure-strong. This position can be offered on a contract (outside IR35) or permanent basis, depending on preference and experience. The Role You will play a central role in designing, building, and delivering enterprise-grade platforms on GCP as part of a complex cloud migration programme. Working alongside architects, data engineers, and security specialists, you will help shape the future-state platform and ensure successful migration from Azure to GCP. A key focus of the role is hands-on engineering across GCP’s modern cloud and AI ecosystem, including Vertex AI, alongside strong infrastructure-as-code delivery using Terraform. Key Responsibilities • Lead and support the end-to-end migration from Azure to GCP with minimal disruption to business services, • Design, build, and operate scalable cloud-native platforms using GCP services (GKE, BigQuery, Pub/Sub, Cloud Storage, etc.), • Develop Infrastructure-as-Code using Terraform and configuration management tools (Ansible/Puppet), • Build and maintain CI/CD pipelines using tools such as GitHub Actions and Azure DevOps, • Deploy and manage Kubernetes-based workloads (GKE, with exposure to AKS beneficial), • Implement best practices across security, networking, observability, and cost optimisation, • Contribute to the design and delivery of AI/ML solutions using Vertex AI and the wider GCP AI ecosystem, • Collaborate closely with cross-functional engineering teams in a fast-paced delivery environment, • Provide technical leadership and guidance within an Azure-strong team transitioning into GCP Required Experience • Strong hands-on experience with Google Cloud Platform (GCP) – essential, • Demonstrable experience working within the GCP AI/ML ecosystem, including Vertex AI – essential, • Proven experience delivering Azure to GCP (or equivalent) cloud migrations, • Strong expertise in Terraform (Infrastructure-as-Code) – essential, • Solid experience with Kubernetes and containerised environments, • Strong scripting skills (Python, Bash, or TypeScript), • Experience building and managing CI/CD pipelines, • Good understanding of cloud networking, security, and scalable architecture, • Experience working within consultancy environments or large-scale enterprise programmes, • Exposure to Azure is beneficial, but not essential Nice to Have • Experience in transport, logistics, or other large-scale distributed systems environments, • Exposure to modern data platforms (BigQuery, BigLake, Pub/Sub, ADLS, ADF, ADX), • Prior experience working in multi-cloud environments Additional Information • Location: Fully remote (UK only), • Engagement Type: Contract (Outside IR35) or Permanent, • Start: Immediate / flexible depending on notice period, • Programme: Large-scale enterprise cloud migration and modernisation initiative Why Apply? This is an opportunity to work on a high-profile, enterprise-scale transformation programme at the forefront of cloud and AI adoption. You’ll be part of a specialist engineering team building next-generation platforms on GCP, with significant exposure to modern AI/ML tooling and large-scale migration challenges. Apply now online.

About the role If you want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical companies. We’re looking for leading AI Engineers who can take real-world customer and market requirements and turn them into working, scalable products; fast. You’ll own the full journey from prototype to scalable, production-grade systems. The level of role e.g. Principal, Senior will be dependent on candidate experience. What we need Someone who is equally comfortable whiteboarding an agentic architecture, scaling prototypes, and shipping the code behind it. You live at the intersection of R&D and product delivery, and you’re motivated by building products and features that scale and demonstrate returns, and not just those that demo well. Your job · Translate customer and market requirements into AI-powered product features, swiftly moving from concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close to the frontier · Entrepreneurial: you treat each challenge as an opportunity to shine and are tenacious · Motivated by building unique, scalable products that demonstrate impact in a real-world setting · Resilient and comfortable operating with ambiguity; you don’t wait for perfect specs, but continuously ask questions and offer improvements · Independent and self-driven, and a strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models in different languages, working to ISO27001 ISMS standards, experience with biotech/pharma This role isn’t for you if… · You need a fully defined roadmap before you start building · You prefer deep specialisation in one narrow area over breadth and ownership · You’re looking for a slow, predictable environment What we offer · Competitive salary and benefits · Opportunities for professional growth · Flexible work hours and remote work · Collaborative, inclusive work environment · Chance to work on cutting-edge AI technologies with real-world impact Selection process · Screening interview with HR · Introductory interview with hiring manager/technical exercise · Capability interview with CEO/team members About Circuit Medical Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We're expanding our digital offerings with products designed to enhance quality, efficiency, and performance for clients that ultimately help them to improve patient care. We thrive on curiosity, innovation, collaboration, and delivering high-quality work. We’re a small, fast-moving team that values curiosity, ownership, and shipping over talking. If you want high autonomy, meaningful problems, and the chance to shape products from the ground up then we’d love to hear how you can add to our welcoming and innovative team. We're an inclusive team that celebrates diverse backgrounds and perspectives, providing equal opportunities regardless of race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.

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

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

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.

DevOps Engineer – Contract Location: Flexible (UK-based, with 1–2 days per week onsite) Duration: 9 months Rate: £525 per day (PAYE) or £709.70 via umbrella (inside IR35) About the Role We are seeking an experienced DevOps Engineer to support the Enterprise Data Platform (EDP), delivering robust infrastructure and deployment pipelines for advanced AI/ML workloads. This role is ideal for someone with deep expertise in cloud-native technologies, automation, and secure platform engineering within Azure environments. You will play a key role in designing, building, and maintaining scalable, secure, and high-performing infrastructure, while working closely with Data Engineers, MLOps Engineers, and Solution Architects. Key Responsibilities • Design, build, and maintain CI/CD pipelines using GitLab CI for reliable, automated deployments to Azure Kubernetes Service (AKS), • Develop and manage containerisation workflows using Docker, including image build and registry management, • Configure and support AKS clusters, ensuring scalability, resilience, and security, • Implement Infrastructure as Code (IaC) using Terraform aligned with Azure Landing Zone standards, • Manage secrets and access control using Azure Key Vault and Azure AD, • Enable hybrid connectivity between on-premises and cloud environments, • Support orchestration workflows using Apache Airflow, • Monitor system performance using tools such as Azure Monitor, Prometheus, and Grafana, • Collaborate across engineering teams to ensure reproducibility, scalability, and compliance, • Contribute to architecture discussions and promote DevOps best practices Skills & Experience Essential: • Strong experience with Azure, including networking, RBAC, and Landing Zone principles, • Hands-on expertise with GitLab CI/CD pipelines, • Experience with Docker and container orchestration (AKS preferred), • Proven experience with Terraform (or similar IaC tools such as Bicep), • Solid understanding of cloud networking (hub/spoke, private endpoints), • Experience troubleshooting infrastructure and deployment issues, • Experience with Airflow or similar orchestration tools, • Knowledge of observability tooling (Prometheus, Grafana), • Exposure to AI/ML platform environments Qualifications • Relevant degree or equivalent industry experience Why Join? This is an opportunity to work on cutting-edge data and AI platforms within a highly secure and impactful environment. You’ll be part of a collaborative, forward-thinking team where your expertise will directly influence platform capability, scalability, and innovation.

Full-Stack Engineer Location: London (Hybrid) Salary: Up to £80,000 + benefits We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features. What You’ll Do as a Full-Stack Engineer: • Own the end-to-end delivery of real-time video, data, and AI-driven analysis across a modern digital content platform., • Design and build resilient backend services using Java and cloud-native infrastructure., • Develop modern, high-performance frontend applications using TypeScript and a modern JavaScript framework., • Architect and maintain real-time data pipelines using event-driven systems and streaming technologies., • Work across cloud-based serverless and containerised infrastructure to deploy scalable, production-ready systems., • Integrate LLM APIs and AI-powered workflows into product functionality and engineering processes., • Leverage AI coding assistants and modern development tooling to accelerate development and automate workflows., • Collaborate closely with a small, high-trust engineering team to ship features quickly and reliably., • Take ownership of system architecture, infrastructure decisions, and production deployments. Core Technology Stack: • Backend: Java, distributed messaging systems, relational databases, Docker, infrastructure as code, • Frontend: TypeScript, modern JavaScript frameworks, • Infrastructure: Cloud-native serverless and containerised environments, • AI Tooling: Regular use of AI-powered development tools and coding assistants What We’re Looking For in a Full-Stack Engineer: • A polyglot engineering mindset with the ability to work across multiple languages and systems., • Strong experience building backend services and distributed systems., • Ability to read, understand, and contribute to Java-based systems., • Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies., • Hands-on experience integrating LLM APIs from leading providers., • Regular use of AI tools and coding assistants to increase development velocity and automate workflows., • Strong engineering fundamentals including testing, documentation, security, and performance optimisation., • Comfort working in fast-moving environments where ownership, clarity, and delivery are expected. Nice to Have’s as a Full-Stack Engineer: • Experience in sports technology, live event data systems, or digital media platforms., • Exposure to streaming technologies or real-time data processing frameworks., • Strong experience designing data architectures and large-scale distributed systems. This is a rare opportunity for a Full-Stack Engineer to help shape a real-time digital platform from an early stage, working with modern cloud infrastructure and AI-augmented engineering workflows to deliver high-impact systems.

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

The Company: A fast-growing, mission-driven, deep-tech start-up developing AI-based SaaS solutions for large-scale projects in infrastructure and construction. Recognised industry leaders, with an award-winning team and global enterprise clients. What you'll do: • As a Solutions Engineer, you will play a pivotal role in supporting Enterprise Account Executives throughout the sales process and beyond., • Acting as the bridge between Sales, Customer Success, and Product teams, you’ll deliver technical demonstrations, oversee Proof of Concepts, and ensure smooth on-boarding and adoption for enterprise customers across EMEA., • You'll be a primary technical advisor, helping clients realise value from innovative technology, troubleshooting issues, and shaping product improvements with client feedback., • This is an ideal opportunity for someone early in their career who is eager to blend technical skills with customer-facing responsibilities in a dynamic, scale-up environment. Key Skills: • 1–3 years in a technical customer-facing role (such as Solutions Engineer, Sales Engineer, Technical Consultant, Implementation Consultant, or Customer Success Engineer), • Experience working with SaaS software, • Confident delivering software demonstrations, • Exposure to enterprise clients and supporting technical onboarding or implementations, • Ability to explain complex software concepts simply, • Comfortable with structured data and troubleshooting technical issues, • Strong communication and stakeholder management, • Highly organised, proactive, and customer-focused, • Fast learner with new systems, • Understanding how technical solutions drive commercial outcomes, • Desirable: Experience in construction/infrastructure, planning tools (e.g. Primavera P6), project risk analysis, basic APIs/data integrations, or supporting Proof of Concepts Benefits: • Competitive salary, • Top-tier international health insurance, • Remote work budget (£500 in year one, £100 in year two), • Personal development budget (£1,000 per year), • Enhanced pension/providence fund (6% company contribution), • Annual team “workation” trips, • 3 extra days leave for wedding or civil partnership, • Work in a supportive team environment committed to diversity, innovation, and personal growth If you’re ready to make an impact with cutting-edge technology and join a passionate, collaborative team, we want to hear from you! Apply now and help tackle some of the world’s biggest project challenges.

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.

Founded by ___, creator and co-founder of ___ (Series B, $425M valuation), Colossal is building at the intersection of generative app development and commerce infrastructure. Think: Lovable for commerce. We're backed by Tier 1 investors: ___, ___, ___, and are planning to raise our seed round later this year. Why Colossal? We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce. We’re still in stealth, so get in touch to learn more. 🥷 What we’re looking for • 5+ years experience building service-oriented software products end to end, ideally at early-stage startups, • A strong understanding of AI-based developer tools, methods and paradigms, • Generalist mindset with experience across the full stack, • Strong understanding of CI/CD, cloud infrastructure, observability, and developer tooling, • Comfortable owning products and features end to end, and taking responsibility for performance and optimisation, • Strong communicator, able to distribute knowledge across the team effectively through documentation, talks, demos and presentations What you’ll do • Build and own core backend services for our commerce infrastructure tools, including billing, workflows, and financial operations, • Build features that integrate AI into real-world product experiences, • Play a key role in software architecture design, including research, writing POCs for further refinement How we hire • Initial call with the founder (30 mins), • Complete a take home exercise, • Task review and pair programming with a team member (1 hour), • Meet with the product team for 2-way interview (30 mins), • Offer stage (including reference checks) To apply, please send your resume and a brief intro describing your interest to:

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK