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Role: -NDT Engineer - PCN Level 2 PAUTLocation: Wirral (site-based), with UK and international travel as requiredWorking Pattern: Full-time, including onshore, offshore, shipyard, and lab site attendance on an ad-hoc basis in line with operational requirements.Salary: - Competitive starting salary plus onshore and onshore day ratesRole OverviewAn exciting opportunity has arisen for a PCN Level 2 PAUT-qualified NDT Engineer to join a growing and forward-thinking NDT operation supporting marine, energy, and industrial sectors.This role is ideal for a commercially aware, entrepreneurial, and proactive engineer who wants more than routine inspection work. Unlike many traditional NDT roles, this position offers variety, responsibility, client exposure, and involvement in developing new opportunities and services.We are seeking a flexible, solutions-focused go-getter who thrives in dynamic environments, enjoys client interaction, and is motivated by helping grow a business while delivering high-quality technical work.The role is primarily based on the Wirral and candidates must live locally or be willing to relocate. Travel at short notice both onshore and offshore, in the UK and internationally is a key requirement.Responsibilities• Carry out PAUT and conventional ultrasonic inspections across marine, offshore, energy, and industrial assets.• Perform inspection campaigns on structural and pressurised systems, both onshore and offshore.• Deliver corrosion mapping and integrity assessment surveys.• Manage assigned projects from mobilisation through reporting and client communication.• Maintain strong technical quality, safety compliance, and reporting standards.• Engage directly with clients to build trusted relationships and secure repeat work.• Identify commercial opportunities and support business development initiatives.• Contribute to specialist investigative and technically complex assignments as the service offering grows.• Maintain accurate documentation, inspection records, and reports to agreed standards and deadlines.The Person and skills required• PCN Level 2 PAUT certification (mandatory).• PCN Level 2 Ultrasonic Testing:oUT 3.1 PlateoUT 3.2 Pipeo(3.8/3.9 advantageous but not essential)• Entrepreneurial and commercially minded• Demonstrable industrial inspection experience in commercial environments.• Experience inspecting welded structures and pressurised systems.• Experience conducting corrosion mapping surveys.• Understanding of degradation mechanisms • Good working knowledge of international codes, standards, and inspection practices.• Strong awareness of HSE requirements and risk assessment processes.• Ability to work independently and manage workload effectively.• Strong communication and client-facing skills.• Proficiency with Microsoft Office and digital reporting tools.• Interested in varied, technically challenging work rather than repetitive assignments• Full right to work in the UK and ability to travel at short notice.What Makes This Role DifferentMany NDT roles involve repetitive site deployment with limited development opportunities. This position offers:• Exposure to varied marine, offshore, and industrial projects.• Direct client engagement and project ownership.• Opportunities to help shape and grow new service offerings.• Development into specialist technical and investigative work.• A team environment that values initiative and commercial awareness.Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Russell Taylor will be acting within your interest and will contact you in relation to the role, either by email, phone or text message. For more information see our on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please get in touch with us .

Senior System Support Engineer We are partnering with a global leader in transport technology, searching for a Senior System Support Engineer to join their UK-wide IT Security team. This is a technical, high-ownership role focused on end-to-end patch management and vulnerability mitigation across critical infrastructure. You won't just be pushing updates; you will be responsible for the architectural health of the deployment lifecycle - troubleshooting complex networking protocols, subnetting, and firewall configurations to ensure 100% compliance across diverse OS and bespoke software environments. Key Details • Job Title: Senior System Support Engineer, • Salary: £50,000 – £55,000 Per Annum, • Location: 100% Remote (UK-Wide), • Sector: Transport & Infrastructure Technology What’s In It For You? • True Remote Autonomy: This is a 100% remote role. You’ll receive a competitive salary and the equipment needed to secure the UK’s transport networks from your home office, • Specialist Upskilling: While you’ll bring a strong foundation in Microsoft Intune or similar tools, you will become a subject matter expert in Ivanti, a highly sought-after toolset in large-scale enterprise environments, • Elite Technical Exposure: You won’t just be pushing updates. You’ll be collaborating with specialist technical departments, engaging in deep-dive troubleshooting on WAN/LAN, and protecting bespoke, proprietary software Key Responsibilities • End-to-End Patching: Lead the deployment of security patches across Operating Systems, COTS applications, and bespoke software, • Vulnerability Mitigation: Use Ivanti (and Microsoft Intune) to identify, track, and remediate vulnerabilities before they can be exploited, • Network Troubleshooting: Diagnose complex deployment failures by analysing subnetting, firewall rules, and network protocols to ensure seamless delivery across the estate, • Technical Liaison: Act as the primary point of contact for high-level technical calls, explaining complex security configurations to other engineering departments Requirements • The Tech Stack: Experience using Ivanti, or heavy experience in MS Intune, • Networking: Hands-on experience troubleshooting subnetting, firewalls, and core protocols, • Infrastructure Knowledge: A solid understanding of network topologies, including switches, routers, WAN, and LAN Apply Now!

Company Description VET.CT was established in 2009 in Cambridge, UK. Our mission is to help all vets do their best and feel their best every single day. We achieve this through supportive, educational teleradiology and by developing and implementing novel educational strategies for veterinary medicine. Our services were developed with all parts of the veterinary ecosystem in mind: vet students, new graduates, interns, residents, primary care vets, advanced practitioners and specialists. We look after vets all over the world and we help them care for their patients 24 hours a day, 7 days a week. Our team consists of more than 150 veterinary radiologists covering all species, as well as a caring group of vets, vet technicians, vet nurses and vet radiographers. VET.CT was built on the principles of exceptional quality work and outstanding patient care. Our values are centred on kindness and empathy - we genuinely look after our team and we really do care about our veterinary clients and the animals that they look after. As an organisation, we also strive to play our part in improving veterinary well-being and advancing clinical standards within the veterinary profession. Role Description The Product Software Engineer serves as a pivotal, hybrid role that bridges software development, product management, and user experience. You will drive the end-to-end success of a product, from initial concept generation to final deployment. Success in this position relies on leveraging user empathy and rigorous data analysis to strategically build and deliver innovative technical solutions that directly support VET.CT’s core business mission. Key Responsibilities • End-to-End Product Ownership: Own the entire feature lifecycle, successfully guiding initiatives from initial conception through detailed design, rapid prototyping, and robust final implementation., • Strategic User-Centric Development: Collaborate closely with key stakeholders to define technical requirements, consistently prioritising an optimal user experience and business value over purely technical constraints., • Full-Stack System Implementation: Develop and maintain highly robust and scalable codebases, contributing across both front-end and back-end systems to ensure comprehensive functionality., • Data-Driven Performance Optimisation: Analyse complex user behavior and performance metrics to drive continuous improvement, ensuring product iterations effectively optimise product-market fit., • Accelerated Prototyping and Validation: Utilise agile methodologies to rapidly build, test, and iterate on Minimum Viable Products (MVPs) to quickly validate new product ideas and inform strategic direction. Skills/Competencies • Technical Proficiency: Strong full-stack engineering skills (e.g., JavaScript/TypeScript, React, Python, SQL, AWS)., • Product Thinking: Ability to understand the "why" behind features and a passion for solving user issues., • Communication & Collaboration: Acting as the "glue" between the product team, designers, and customers., • Autonomy: A proactive "owner" mindset focused on driving business growth.

Description • Lead the technical side of sales: join early-stage conversations, present demos, and guide architecture and security discussions., • Act as hands-on engineering lead- shipping code, building integrations, and setting high quality standards, • Build and lead a high-performing technical team across engineering, integration, and pre-sales., • Drive customer integrations, from scoping to deployment of AI agents, and ensure production accuracy., • Gather customer feedback, localize the product, and represent regional needs to the global Product team., • 7–8+ years of hands-on software engineering experience., • Proven experience in pre-sales, solution architecture, or technical implementation., • Customer-facing background in roles such as Field CTO, Solutions Architect, or Deployed Engineer., • Demonstrated leadership experience (Director, VP, or Founder roles preferred)., • Strong communication skills in English (written and spoken)., • Ability to operate independently in a zero-to-one environment and build a team from scratch., • Bonus: Experience at fast-paced startup environments

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

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

Role: Platform Engineer Salary: £60,000-£65,000 Location: Liverpool Work pattern: hybrid Overview This company are seeking an experienced Platform Engineer to manage and automate hybrid cloud and on-prem infrastructure within a high-volume e-commerce environment. This role centres on IaC, CI/CD, observability, security, reliability, cost optimisation, and advancing DevOps practices. Key Responsibilities: • Design and manage hybrid cloud and on-prem infrastructure using Infrastructure as Code (e.g. CloudFormation, Terraform), ensuring secure, repeatable, production-aligned environments., • Maintain cloud and local systems (Windows/Linux), covering patching, networking, storage, virtualisation, and container platforms., • Build and optimise CI/CD pipelines with blue-green, canary, and rolling deployments, including automated, zero-downtime database releases., • Implement comprehensive monitoring, logging, alerting, and automated incident workflows with clear reporting., • Strengthen cloud security posture (IAM, secrets, vulnerability scanning) and embed DevSecOps practices while maintaining PCI-DSS compliance., • Drive reliability through SLIs/SLOs, incident response, disaster recovery testing, and capacity planning for peak events., • Optimise performance and cost across hybrid environments through right-sizing, forecasting, and resource governance., • Apply AI-driven tooling for anomaly detection, operational optimisation, and compliance automation., • Collaborate cross-functionally, maintain documentation, and promote DevOps best practices. Required Experience & Skills: • 5+ years in DevOps, SRE, or Infrastructure Engineering (hybrid environments)., • Strong AWS expertise across compute, networking, storage, and security services., • Infrastructure as Code (CloudFormation required; Terraform/Pulumi desirable)., • Docker and ECS and/or Kubernetes., • CI/CD pipeline development and controlled deployment strategies., • Strong Linux administration and networking fundamentals., • Python (essential) and Bash/Shell scripting., • Monitoring/logging tools (e.g. Grafana, Datadog, CloudWatch, Prometheus)., • Cloud security tooling and solid understanding of SRE principles. Benefits: • Bonus scheme, • Private Medical & Dental, • Huge progression scope within business If you are interested, please apply now!

Position: CDE / Robotics Deployment Engineer Location: EU – travel required Type: Contract Duration: Project/Assignment duration will vary – we have projects available for 2026 Overview: - Successful candidates will be natural self-starters who have an Electrical/Mechanical Engineering and/or Construction background. The role will understand the details of Fulfilment Centre design, implementation, modelling, estimating and managing new or retrofit Fulfilment Centres. This job requires a unique combination of flexibility, creativity, innovation, leadership, and effective communication. Responsibilities: - • Manage and track the installation progress, quality and validation of all electrical and mechanical systems installed by the Deployment Engineering team, • Leading large teams through the setup and configuration of software, hardware, and robotics systems, • Managing onsite relationships with multiple internal and external teams during the on-site implementation systems, • Assist third-party assemblers by motivating and providing guidance and direction, • Performing on-site hardware and software support during initial system deployment, • Daily communication (written and verbally) with peers, management, contractors and vendors, • Troubleshooting - Ability to identify problems and understand resources needed to resolve them, • Tracking the deployment inventory, including spare parts, while working with the supply chain to resolve any discrepancies or issues Skills & Accreditations: - • BS in Engineering, Management Information Systems, or a related technical field, • Ability to prioritize, schedule, and logistically support multiple projects in a fast-paced environment with tight deadlines., • Comfort with detailed and complex technology, including software, hardware and robotics, • Self-motivated and able to solve problems independently and in team settings, • Proven ability to communicate effectively, (written and verbally) with peers, management, contractors and vendors., • Demonstrated ability to multi-task and prioritize different projects and workload, • Proven ability to work successfully with little supervision, • Desire to perform a mix of technical and non-technical challenges

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

Fully Remote, Outside IR35 Senior CI/CD Software Engineer - GitHub Actions / TypeScript We are supporting a major global cloud transformation programme and are looking for a highly specialised CI/CD Platform Engineer to help shape enterprise-scale developer tooling and delivery automation. This is not a traditional DevOps role. The team owns CI/CD and engineering enablement for a large-scale global platform environment and is responsible for defining how engineering teams build, test, secure and deploy software at scale. The focus is heavily around GitHub’s ecosystem, reusable engineering workflows and developer experience. What You’ll Be Doing • Designing and building enterprise-grade CI/CD platforms using GitHub Actions, • Developing custom GitHub Actions in TypeScript, • Creating reusable workflows and standardised deployment patterns across multiple engineering teams, • Building internal developer tooling and self-service engineering capabilities, • Defining secure-by-default pipeline standards including permissions, secrets management and OIDC authentication, • Improving developer experience and reducing engineering friction at scale, • Working closely with cloud/platform engineering teams across AWS and GCP environments, • Helping shape engineering standards, governance and automation strategy globally What They’re Looking For • Strong hands-on experience building CI/CD platforms from scratch at enterprise scale, • Deep GitHub Actions experience including custom actions development, • Strong TypeScript and Node.js engineering background, • Experience designing reusable workflows and shared developer tooling, • Strong understanding of platform engineering and developer enablement, • Experience embedding security and compliance into CI/CD workflows, • Infrastructure as Code experience (Terraform/CDK/etc.), • Experience working in large-scale cloud environments (AWS/GCP/Azure) Important The client is specifically looking for engineers who have owned and designed enterprise CI/CD capability, not engineers who have simply used pipelines as part of application development. You should be comfortable discussing: • workflow abstraction, • reusable CI/CD architecture, • GitHub platform tooling, • pipeline governance, • deployment standardisation, • developer experience engineering, • enterprise-scale automation patterns This is a genuinely high-impact engineering role working on globally scaled cloud transformation programmes. Apply now online.

🛡️ Principal Engineer (FinTech SaaS) – UK Remote 💻 We are representing a scaling B2B FinTech that provides core decisioning infrastructure for the global financial services sector. Their enterprise SaaS technology enables major lenders to modernise their credit assessment processes, allowing for more efficient deployment of capital to the commercial sector. By integrating sophisticated data layers into traditional banking workflows, they are significantly improving how credit is optimised and distributed to businesses. We are looking for a product minded Principal Engineer to serve as the ultimate technical authority and strategic advisor across multiple product squads. 🇬🇧 Location: Remote-friendly (UK). The team values flexibility, with an expectation to attend high-level strategy meetings occasionally. 💰 Salary & Package: £140,000 + Equity, 25 days leave (plus Bank Holidays), 4x Life Assurance, Private GP, and a comprehensive rewards scheme. ❓ Is this your next challenge? • Are you a product-obsessed engineer? We need someone who doesn't just build to spec, but obsessively focuses on the customer and identifies the right problems to solve to deliver maximum commercial impact., • Do you excel at cutting through ambiguity? You should enjoy transforming vague product needs into flexible, extensible architectural solutions that solve real-world industry problems., • Are you a veteran engineer who still loves being "hands-on"? This role requires a technical leader who stays close to the code while guiding high-level strategy and acting as a primary mentor for senior engineers. The Opportunity 🎯 This is a high-visibility leadership role. You’ll be fostering a culture of "intellectual curiosity" and engineering excellence across several multidisciplinary squads. You will be the bridge between complex product needs and robust, scalable reality—helping the business "make it work, then make it beautiful." What You’ll Be Driving 🛠️ • Technical Governance: Acting as the trusted authority on architecture, ensuring systems are flexible, scalable, and resilient., • Platform Evolution: Leading the design of robust functionality, including developer-friendly APIs, intricate domain modeling, and data integrations., • Strategic Problem Solving: Identifying cross-cutting technical hurdles and driving the adoption of solutions across the entire engineering organisation., • High-Bar Mentorship: Setting the gold standard for collaboration, from technical coaching to providing exceptionally clear documentation and code reviews., • Product Collaboration: Working alongside Product Managers to turn business goals into elite-level software. Your Experience & Expertise ✨ • Consistent Senior Leadership: You have a proven track record of continuous experience in a Senior Staff, Principal or Architect capacity., • Back-End Mastery: Extensive professional background working with the JVM ecosystem (specifically Java or Kotlin)., • Modern Web & Orchestration: Ideally you will have proficiency in JavaScript frameworks and experience with workflow engines., • Cloud-Native Data: Solid experience architecting on AWS and managing both relational and document-based data stores like Postgres and MongoDB., • Delivery Standards: You are a champion of automated testing and deployment pipelines, with deep expertise in TDD and CI/CD workflows., • Complex Domains: Ideally, you have navigated the world of SaaS within regulated environments, understanding the nuances of data protection and multi-tenant security. ➡️ If you are a product-focused technical leader ready to own the strategy of a disruptive FinTech platform, apply now! (Please note: Applicants must have the right to work in the UK as visa sponsorship is not available at this time).

Senior Backend Engineer | Senior Software Engineer | Python | Remote UK 💰 £90,000 - £110,000 🏠 Fully Remote (UK) 💻 Python, Flask, AWS, PostgreSQL, Docker 🚀 High-growth consumer platform scaling rapidly We’re partnered with a high-growth consumer tech platform looking to hire a Senior Backend Engineer into a fast-moving product engineering team. The business has already scaled to hundreds of thousands of users and is continuing to grow quickly, with engineering at the centre of that growth. They’re building modern, real-time user experiences with a strong emphasis on speed, product quality, and continuous improvement. This role sits within a backend-focused team responsible for powering core customer experiences across web and mobile platforms. You’ll be building APIs, backend services, and scalable systems within an environment that ships to production daily. The stack is primarily Python on AWS, using technologies including Flask, PostgreSQL, Docker, Terraform, and cloud-native infrastructure. Strong backend engineering fundamentals are more important than exact stack match. What they’re looking for: • Strong backend engineering experience with Python, • Experience building and maintaining APIs, • Good understanding of scalable systems and backend architecture, • Cloud experience (AWS ideally), • Product-minded engineers who enjoy ownership and moving quickly, • Comfortable operating in fast-paced environments Why it’s interesting: • Fully remote engineering team, • High ownership environment with real product impact, • Modern backend/cloud infrastructure, • Strong engineering culture with continuous deployment, • Consumer product used at significant scale If you’d be interested in hearing more, feel free to reach out directly. Senior Backend Engineer | Python Engineer | Backend Developer | Remote UK

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

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35 – Home based SC Cleared DevOps Engineer - AWS – Home based. Experience building and operating secure, automated, cloud‑native platforms, ideally within public‑sector, policing, justice, or other security‑sensitive environments. Comfortable working with LLM‑assisted engineering, and Claude is a strong bonus. This programme is already in delivery and requires a significant number (x40) of DevOps Engineers to accelerate build and deployment activity, with a target completion around mid-year. Skills & experience: • SC Clearance – (NPPV3 ideally), • AWS - Building and operating secure, automated, cloud‑native platforms, • DevOps – Software Engineering, • Comfortable working with LLM‑assisted engineering, and Claude is a strong bonus, • Experience working in a AWS, Postgres, React, Node environment, • Build and maintain CI/CD pipelines for automated build, test, and deployment, • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, • Deploy and manage applications using containerisation (Docker) and Kubernetes, • Contribute to software engineering activities across the platform (not pure ops), • Work within cross-functional teams delivering a modern data platform, • Support the migration from a legacy mainframe system to a cloud-native solution Security Clearance • SC Clearance – must be currently held (Home Office SC highly preferred), • NPPV Level 3 – not required upfront, but must be willing to undergo SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35

AI Infrastructure Engineer Cititec is working with a fast-growing AI infrastructure and GPU cloud platform scaling large-scale compute environments across Europe and the US. We’re looking to speak with AI Infrastructure Engineers who have experience working across high-performance infrastructure environments, GPU deployments, HPC systems, cloud infrastructure or large-scale data centre operations. This is a strong opportunity to join a business operating at the centre of the AI infrastructure buildout currently happening globally. What you’ll be working on • Deployment and optimisation of GPU infrastructure environments, • Supporting large-scale AI / HPC clusters, • Infrastructure automation and operational scaling, • Working closely with networking, platform and deployment engineering teams, • Supporting critical infrastructure environments across compute, storage and networking, • Troubleshooting performance, reliability and scaling challenges across AI infrastructure stacks Ideal background We’re interested in people coming from environments such as: • GPU Cloud Platforms, • AI Infrastructure Providers, • Hyperscale Data Centres, • HPC Environments, • Cloud Infrastructure Platforms, • High-performance Linux environments Experience across some of the below is highly valuable • NVIDIA GPU infrastructure, • Kubernetes, • Linux, • HPC environments, • InfiniBand / high-speed networking, • AI infrastructure deployments, • Bare metal infrastructure, • Terraform / Ansible / automation tooling, • Large-scale compute environments What’s different about this opportunity This is not a traditional infrastructure role. The teams we support are building some of the most advanced AI compute environments currently being deployed globally, supporting large-scale GPU capacity and next-generation AI workloads. If you’re currently working within cloud, infrastructure, HPC or data centre engineering and want exposure to cutting-edge AI infrastructure environments, this is worth a conversation. Apply directly or reach out confidentially for more information.

Important note: This role is for US hours. 9-5pm PT (5pm-1am UK) FlatPlan is the leading Apple News technology and strategy provider, working with 230+ consumer publishers including The Atlantic, The Athletic, Vox Media and the Premier League. We're a preferred provider to Apple, helping the world's biggest publishers reach hundreds of millions of readers through Apple News and beyond. We're profitable, growing, and scaling sanely: a sharp team doing meaningful work at pace. The Role We're hiring a Full Stack Engineer to join our engineering team, working US hours to give us coverage across our customer base. You'll ship features across our platform: integrations with major publishers, our customer dashboard, content parsing pipelines, and proofs of concept that push what Apple News can do. On any given day you might be building a liveblog integration for a global sports brand, debugging a delivery issue during a breaking news story, or prototyping something new with a feature Apple has just released to us. We expect you to be fluent with AI development tools (Claude Code, Cursor, Copilot, or equivalent) and to use them daily, for writing code, reviewing PRs, triaging bugs and finding ways to ship faster. What You'll Own • Feature delivery across our Node.js backend, React dashboard, and parsing layer, • Customer-facing integrations for some of the world's biggest publishers, • Proofs of concept for new platforms and Apple News capabilities, • Clean, well-documented code with polished handovers, • Bringing AI-assisted approaches into how we build, review and ship What We're Looking For Must-haves: • 4+ years commercial experience as a developer, • Strong Node.js and React, with deep modern JavaScript fundamentals, • Daily, practical use of AI coding tools in your workflow, • Solid grasp of HTML5, modern CSS, and DOM manipulation, • AWS experience: deployment, configuration, sensible operational instincts, • Comfortable in git workflows and agile teams, • US hours availability (9am–5pm PT, equivalent to 5pm–1am UK) Nice-to-haves: • Publishing or media background, • Experience with content parsing (Cheerio or similar), • MongoDB, • Exposure to Apple News Format (we'll train you regardless) Who We Are FlatPlan is a small, lean team with backgrounds at Stripe, New York Times Company and Apple. We're fully remote but intentional about connection: randomised social 1:1s, Friday socials, a virtual office and optional UK meet-ups twice a year. We share knowledge openly and regularly, and genuinely care about each other. We're profitable, founded in 2019, and backed by TinySeed. Our relationship with Apple runs deep: we're their preferred provider for Apple News, and following a period of assessment, a direct supplier to Apple. We want this team to reflect the breadth of the publishers and audiences we serve. We strongly encourage applicants from underrepresented backgrounds to apply. All qualified candidates will be considered regardless of race, gender, identity, orientation, disability or background. No agencies. Any emails from agencies will be marked as spam.

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Job Title: AWS API Technical Architect Location: UK Remote Duration: 3-6 months Pay Rate: £559 per day all inc. (PAYE through FCSA Umbrella) Job Description: We are looking for an AWS API Engineer / Data Architect to design secure, scalable, and well-integrated API and microservices architectures across multiple client applications and services. Key responsibilities are broadly expected to include: • Design serverless and microservices-based API architectures on AWS, • Define and apply RESTful API design patterns and integration standards, • Support system and data integration across distributed services, • Assess and address technical debt, recommending pragmatic modernisation approaches, • Work closely with product teams to design solutions that align to their roadmap and support their needs, • Support deployment planning, cutover activities, and post‑go‑live stabilisation, • Collaborate with cybersecurity and delivery teams to ensure secure, observable solutions, • Design the integration of applications with identity providers and secure access patterns The services used across these systems are likely to include: • AWS Services (i.e. API Gateway, Lambda, Aurora RDS Postgres, EKS, ECR, STS, Route 53, VPC), • Kubernetes, • CI/CD (e.g. GitHub, Jenkins), • Prometheus, Grafana, • ELK, • Apollo GraphQL, TypeScript, • AWS Config, AWS Macie, AWS Guard Duty, AWS Security Hub, Amazon CloudWatch, Amazon CloudTrail If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

Our client is a profitable, founder-led business with a decade of operating history and long-term enterprise relationships in a high-growth marketing vertical. They are now entering their next phase: expanding a technology platform built on proprietary data, deep category expertise, and an existing commercial foundation. The platform is AI-native, subscription-based, and serves organisations investing significantly in this space. This is a zero-to-one moment for a business that already has the customers, credibility, and revenue to back it up. The Role The team builds software differently. AI-native tooling is used to go from requirement to working product in days, not months. This isn't about prompting your way to a prototype, it means owning the full lifecycle: understanding what a customer actually needs, shaping the right solution, and shipping it yourself. As a Founding Engineer, you sit at the intersection of product thinking, technical depth, and delivery ownership, a combination that used to require three separate hires. This role didn't exist two years ago. AI tooling has fundamentally changed what a single person can own end-to-end, and the product team is built entirely around that shift. What You'll Do • Own discovery to delivery: Join customer and stakeholder calls, extract the real requirement underneath the stated one, then go build it. No handoff. No ticket queue., • Build with AI-native tools: Use the best available tooling to ship working software fast. Know when to generate, when to edit, and when to reason from first principles., • Make product decisions under uncertainty: Scope features sensibly, make the right tradeoffs between speed and correctness, and know when something is good enough to ship., • Test and hold quality: Think adversarially about your own work, cover edge cases, write the test, catch the bug before the user does. What They're Looking For Your primary instinct should be product: you think in users, workflows, and outcomes first. But you need enough technical depth to know what's hard, what's easy, what's a shortcut that will cost you later and how to actually build it. No requirement to be a senior engineer; what matters is that you've built things, understand how the layers of a system fit together, and aren't intimidated by code you didn't write. Curiosity matters more than credentials. Technical familiarity expected across: • Frontend vs backend tradeoffs, • REST APIs and data models, • Databases and data modelling basics, • Caching strategies, • Deployment environments (staging, production, CI/CD), • UI component libraries, • Authentication flows, • Performance fundamentals Nice to have: • Experience shipping in a startup or early-stage environment, • Comfort with ambiguity, • Side projects you actually finished, • Opinions about what makes software feel good to use The Details • Compensation: Market-competitive salary + annual bonus scheme, • Location: London-based office; team is mostly remote with regular in-person days, • Work authorisation: Must have existing right to work in the UK or EU; visa sponsorship not available, • Team: Small team of builders shipping end-to-end

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

The Opportunity -> This is a performance-focused frontend engineering role with real architectural influence. ___ platform serves manufacturing clients globally, and the company is investing heavily in frontend performance as a strategic priority. The platform is undergoing a significant modernisation programme — the current Angular application requires upgrading to the latest version and modern architectural patterns, with potential future migration paths including React under evaluation. The priority is a high-performance, well-architected Angular frontend today, with the flexibility to evolve as the platform strategy matures. The engineering team is simultaneously modernising the backend (containerising .NET 8 for Kubernetes, migrating to PostgreSQL), and the AI team is building a copilot platform with multiple production agents. This role collaborates with both teams — particularly on API design and caching strategy — but the core focus is building high-performance frontend experiences, not maintaining legacy application code. There are greenfield modules being built from scratch (Digital Obeya dashboard, CIL, Centreline) where the frontend can be designed for performance from the ground up. This role carries significant architectural ownership — including knowing when to build custom components versus adapting and extending the base components available in the framework. Location: Fully remote, UK based. You'll interact with team members in the UK, Portugal, Spain, Brasil and US. Core Technical Requirements -> • TypeScript — non-negotiable. Deep proficiency required, including advanced type system features, generics, strict mode, and type-safe API contract patterns, • Angular (deep) — the production platform runs Angular 18. Must be proficient in Angular’s component model, dependency injection, RxJS, route resolvers, lazy loading, change detection strategies, and standalone components. Experience upgrading Angular applications to the latest architecture patterns (signals, control flow, deferrable views) is essential, • Component design judgement — must demonstrate strong instincts for when to build custom components versus adapting and extending base components from the framework or component library. Over-engineering bespoke components where framework defaults suffice wastes time; blindly using defaults where custom solutions are needed creates technical debt. The right candidate understands this trade-off deeply, • Modern CSS and component frameworks — Tailwind CSS (already in the stack) and shadcn/ui or similar headless component libraries. Must understand utility-first CSS, design token systems, and component composition patterns, • Performance obsession — this is the defining trait. Must have deep awareness of the patterns that drive up latency and costs:, • Bundle analysis and tree-shaking, • Code splitting and lazy loading (route-level and component-level), • Lighthouse proficiency (Core Web Vitals: LCP, FID/INP, CLS), • Main thread optimisation, • Network waterfall analysis and API call minimisation, • Browser caching strategies (service workers, HTTP cache headers, CDN configuration), • Virtual scrolling and rendering optimisation for data-heavy dashboards, • API collaboration — must work closely with backend teams to minimise API calls, design efficient data contracts, ensure caching is optimised at every layer (browser, CDN, API gateway, application), and eliminate N+1 query patterns, • Linux / CLI proficiency — must be comfortable with Linux environments, command-line tooling, and containerised development workflows AI-Assisted Development Methodology -> Solvace is transitioning towards AI-assisted development as a core engineering practice. For frontend engineers: • Hands-on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. Engineers who use these tools professionally to accelerate component development, write tests, and refactor code are strongly preferred, • Spec-driven development — ability to write clear component specifications and design documents that drive both human and AI-assisted implementation, with strong evaluation criteria and comprehensive test coverage, • Portfolio evidence — professional projects or side projects built with AI-assisted development tools are a must. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust frontend test suites (unit, integration, E2E, visual regression) and automated performance budgets that catch regressions before deployment Nice-to-Have -> • Go or Rust — valued as evidence of strong systems thinking and backend empathy, which translates directly into better API design collaboration, • d3.js / ECharts — the platform uses both for data visualisation; dashboard modules are data-heavy with complex charting requirements, • Playwright — E2E test specs exist for key modules. Experience integrating Playwright into deployment pipelines with automated smoke tests is a plus, • Datadog RUM — the platform uses Datadog Real User Monitoring. Experience interpreting RUM data (session replay, per-country latency) to drive optimisation priorities is valuable, • React ecosystem — experience with React, Next.js (SSR, RSC, app router), and Vite (build tooling, HMR, tree-shaking) is valued. Potential migration paths including React are under evaluation, and candidates with experience across both Angular and React are well-positioned to contribute to that decision, • Micro-frontend architecture — experience with micro-frontend patterns (module federation, single-spa, or similar) for incremental framework migration is a strong plus, • WebSocket / SignalR — the AI copilot uses SignalR for real-time transcription streaming; the frontend integrates with this, • Internationalisation — the platform uses Transloco for i18n across 32 languages, • Accessibility (a11y) — WCAG compliance experience is valued Your Mission (First 6 Months) -> • Drive the frontend performance programme — lead a systematic effort to optimise page load times, reduce bundle sizes, implement lazy loading, and eliminate unnecessary API calls triggered by navigation. Establish performance budgets and integrate Lighthouse scoring into the CI/CD pipeline, • Optimise JavaScript delivery — audit dependencies, implement tree-shaking, introduce dynamic imports for heavy libraries (charting, Gantt, Excel generation), and establish bundle size budgets with CI enforcement, • Build greenfield modules for performance — new modules (Digital Obeya dashboard, CIL, Centreline) are being built from scratch. Design these for performance from the ground up: virtual scrolling for widget grids, incremental data loading, WebSocket-driven updates, and aggressive client-side caching, • Implement end-to-end caching strategy — work with backend teams to implement HTTP cache headers on stable API responses, CDN-level API caching for read-heavy endpoints, client-side query caching (TanStack Query patterns), and stale-while-revalidate strategies for dashboard data, • Establish frontend performance infrastructure — instrument the frontend with comprehensive APM (Datadog RUM), establish performance budgets in CI (Lighthouse scores, bundle size limits, Core Web Vitals thresholds), and build dashboards for real-time visibility into frontend performance, • Modernise the Angular architecture — upgrade the existing Angular codebase to the latest patterns (standalone components, signals, control flow, deferrable views). Evaluate and document potential future migration paths — including React — with trade-off analysis, effort estimates, and recommendations. The goal is a modern, performant Angular foundation today with a clear-eyed view of where the frontend architecture should evolve Research vs. Applied Entirely applied / production-focused. This is a hands-on frontend engineering role. The person needs to be comfortable profiling production performance, reading APM traces, and shipping measurable improvements. They’re measured on load time reductions and user experience metrics, not architectural elegance. Why Join? • Measurable, high-impact performance work — clear performance targets with comprehensive monitoring (Datadog RUM, Lighthouse). Every improvement is directly measurable and visible to the business, • Architecture influence — this person will modernise the Angular architecture and evaluate future migration paths including React, shaping the long-term frontend strategy for the platform, • Greenfield modules — new modules are being built from scratch. The frontend engineer gets to design these for performance from day one, • AI copilot frontend — the KAI copilot uses SignalR for real-time transcription and streaming agent responses. Building the frontend for an AI copilot in manufacturing is genuinely novel, • Manufacturing domain — dashboards, shop floor kiosks, and mobile-first inspection flows are unlike typical SaaS frontend work. Rich data visualisation challenges with real operational stakes, • High visibility — frontend performance is a strategic priority. Improvements are noticed at the highest level of the organisation

Join a mission-driven, Series A scale-up following a record-breaking funding round. They are scaling their engineering team to deliver a subscription model for energy systems. You will join a high-calibre, lean engineering squad working directly with the Head of Engineering and Product leadership. This is a role for an engineer who wants to build products that have a tangible, positive impact on both consumer wallets and the planet. Responsibilities • Writing clean, high-quality, high-performance, maintainable code, • Develop and support software including applications, database integration, interfaces, and new functionality enhancements, • Coordinate cross-functionally to insure project meets business objectives and compliance standards, • Support test and deployment of new products and features, • Participate in code reviews Qualifications • Bachelor's degree in Computer Science (or related field), • 5+ years of relevant work experience, • TypeScript, Node, Postgres, AWS, InfluxDB, • Experience with Agile or Scrum software development methodologies, • Ability to multi-task, organize, and prioritize work, • UK Citizen or Settled Status without the need for sponsorship If you believe you have the required skillset and experience for this position, please apply for immediate consideration.

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

Moodsonic uses sound to improve how indoor spaces feel. Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience. The role We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place. As Moodsonic scales, you will keep the platform safe, reliable, and defensible. You are joining a team where colleagues hold deep domain knowledge. You will need to build trust, collaborate well, and lead through influence rather than authority. This is not a management role. The platform is live and growing quickly, with real customers and real consequences. What you'll work on In your first six to twelve months: • Own and evolve the backend platform: services, data layer, infrastructure, APIs. Strengthen what is in production today, design what is missing, and build what comes next, • Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning. Visibility and input into on-device code decisions, because device security is platform security, • Own the identity, authentication, and account layer of the platform, • Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery, • Own the partner-facing integration APIs end to end, from design through operation. These are the surfaces our customers and hardware partners build against, and their reliability is our reputation, • Own the engineering practices that support our certifications and audit-readiness, • Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by, • Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on What we are looking for Required: • 5+ years shipping and operating production backend systems, including time on-call and in incident response. You know what it feels like when something breaks at 2am and you own the fix, • Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality, • Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer, or security needs and turn them into practical technical plans without a big PM or architecture layer handing you a spec, • Deep relational data modeling and schema design. Postgres or equivalent as a daily tool. Strong instincts for migrations, indexing, and query performance under load, • API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline, • Identity and authentication systems experience: modern identity protocols (OAuth or similar), session management, role-based access, multi-tenant boundaries. You understand what breaks when these are wrong, • Security mindset in practice, not theory. You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals, • Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it, • Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices, • Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs, • Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you, • Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them. Intellectual honesty and the willingness to push back when the right answer is unpopular, • Clear written and verbal communication, particularly when working asynchronously across time zones Valued: • Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion, • Shipping to enterprise customers, incident response commitments, and contractual security obligations, • Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default, • Kubernetes and modern container orchestration, • Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work, • Audio, signal processing, or real-time systems background, • AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: • Interest in sound, music, acoustics, or the wellbeing applications of audio Team and how we work You will join a small, senior team distributed across the UK, Europe, and the US West Coast. We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones. Compensation and benefits Base salary £65,000 to £85,000, calibrated to experience. Equity will be a material part of the package. Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. UK right to work is required. How to apply Send a short note, your CV, and links to work you are proud of. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.

Digital Design Engineer - Cryptography 📍 London 🏠 Remote position , with 1 day per month in the office 📄 Permanent 💷 £85,000 depending on relevant experience 5V Tech is supporting a cutting-edge silicon security company delivering trusted solutions for modern SoCs, chiplets, and connected devices. They are looking for a Digital Design Engineer with experience in Cryptography to join their project and start contributing from day 1. They combine low-footprint security IP with lifecycle software to ensure identity, integrity, and trust are anchored directly in silicon and maintained across manufacturing, deployment, and operation. This is a hands-on role for someone who has implemented cryptography at hardware level, not just worked on theory. The project: • Designing and implementing secure digital architectures for ASIC/FPGA, • Building and optimising hardware modules for cryptographic algorithms (AES, SHA, TRNG), • Working on Root of Trust systems and secure hardware components, • Applying countermeasures against side-channel attacks, • Contributing across RTL design, verification, and timing analysis Requirements: • Extensive experience in digital design, • Strong background in hardware-based cryptography implementation, • Excellent Python skills, • Solid Verilog or VHDL skills, • Experience working on ASIC or FPGA targets 5V Tech are acting as an Agency for the purposes of this contract. We offer a reward scheme if you can recommend someone for this contract, up to £250 for you and an additional £250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK and North America.

Job Description: iOS Engineer at everyLIFE Position Type: Permanent. Location: UK-based Remote. Head Office located in Farnborough, Hampshire. Benefits include: 25 days holiday + 3 additional days over Christmas, early finish Friday, private medical insurance, life insurance, Cycle-scheme, free non-fiction book scheme. Working Hours: Full time Following the successful launch of PASSgenius™, our cutting‑edge suite of AI, data, and automation tools, we’re entering an exciting period of rapid growth. To accelerate what comes next, we’re searching for a full‑time iOS Engineer to join our fast‑moving, feature‑rich app team. The Role • Be part of a team of highly skilled engineers to deliver polished features on consistent basis in a high pace environment. We deploy code every two weeks to thousands of users., • Directly responsible for the development and deployment processes – make sure that the features are shipped optimally, and product stays healthy once they hit production., • Design, review, write and test code. This is hands-on engineering role, and you will be directly involved in the design and development of new features, writing, reviewing and testing code., • Insist on the highest standards and create functional and engaging features that will delight our users., • Provide feedback to teammates to make your team the best version of itself. Desired Skills • Bachelor’s degree in Computer Science or related field, or equivalent experience, • 4+ years of experience with iOS mobile app development, • Good working knowledge of iOS platform, Swift, GRDB, SwiftUI, Combine, • Good communication skills and the ability to work effectively in a remote team environment, • Attention to details – any code that makes it into the product directly impacts the lives of people being cared for, • Strong computer science fundamentals in object-oriented design, algorithms and data structures, • Self-starter, analytical and creative, • Strong team player with a positive attitude, • Experience writing clean, testable, high-quality code, • Good understanding of object oriented and SOLID principles, and clean code architecture, • Experience writing apps using The Composable Architecture, • Good experience with writing unit tests, • Familiar with git and/or git-flow, Bitbucket, JIRA, Confluence, Bitrise, Bugfender Bonus • Experience in Agile methodologies such as Scrum or Kanban, • Good knowledge of test automation using XCUITest, • Good understanding of material design and offline first UX/UI, • Knowledge of Android platform, Kotlin, Room, Coroutines, Koin Our mission is to create effective tools and services that release the potential of care teams. Established in 2014, everyLIFE Technologies is a fast-growth SaaS provider primarily to the UK social care market. We exist to support care services to be the best that they can be. We design, build, release, manage and support software and mobile applications that are crucial parts of the care being given to tens of thousands of people across the UK. We must get it right, every day! Our ideal teammates are thoughtful, humble, curious, achievement-oriented professionals who can both zoom into the details and zoom out to embrace the big picture. We are customer-led and always aim for the highest standard. We believe in being transparent in all our dealings; acting fairly, openly, and honestly in everything we do. Please note that this is a UK based role, and we are only able to accept applicants with the right to live and work in the UK without the need for sponsorship. If you are on a visa and interested in applying for this role, please contact us for further information. If you have any questions, please email Due to the high volume of applicants that we receive, we cannot always guarantee that you will receive a response.

Job Title: Back End Engineer (Sitecore / .NET) Duration: Contract, start of June - End of 2026 Workload: Full time hours Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader) Location: UK (Hybrid / Remote) We need an experienced Back End Engineer to design, build, and maintain secure, scalable services underpinning a Sitecore-based digital ecosystem. Key Responsibilities: • Design and develop back end services using .NET / C# to support Sitecore-driven websites and platforms, • Build and maintain integrations between Sitecore and internal systems such as CRM, identity, and other enterprise platforms, • Develop and consume RESTful APIs to support headless or API-driven architectures, • Ensure high standards of performance, reliability, security, and maintainability across back end services, • Collaborate closely with front end engineers within an agile digital squad to deliver user-focused solutions, • Support configuration, deployment, and ongoing optimisation of back end components, • Contribute to code reviews, technical discussions, and continuous improvement practices Must-Have Skills: • 6–7 years’ experience as a Back End Engineer, • Strong commercial experience with .NET / C#, • Hands-on experience with Sitecore CMS and Sitecore integrations, • Experience building and consuming RESTful APIs, • Solid understanding of security, performance, and scalability principles, • Experience working in agile delivery teams Nice-to-Have: • Experience with headless Sitecore implementations, • Knowledge of CRM and identity service integrations, • Cloud experience (Azure preferred), • DevOps or CI/CD exposure

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Senior Platform Engineer (Go/Rust) - Remote (UK) £90–100k + equity 30 days holiday Our client is a UK startup building a low-code modelling platform designed to replace spreadsheet-driven workflows for SMEs. Founded by the entrepreneur behind one of the world's most influential enterprise planning platforms (acquired for ~$8bn), the mission is to bring that same power to businesses that have been underserved by tooling for too long. Pre-commercial launch. Greenfield infrastructure. Real stakes. The technical challenge You'll be building and owning the production infrastructure for a multi-user distributed system from the ground up. That means designing for debuggability and observability from day one, not bolting it on later. Core remit includes scalable multi-environment Terraform, secrets management, gradual deployment practices (blue/green), and the ability to spin up full environment copies for testing. An AI/multi-agent infrastructure component is on the near-term roadmap. The stack IaC Terraform + Terragrunt Helm / Kubernetes AWS Observability Prometheus / Grafana Auth0 Rust / Golang NoSQL What they're looking for • Production experience with Terraform, Helm/Kubernetes, AWS networking, and debugging multi-service systems, • Observability tooling, secrets management, and authentication services in real production environments, • Comfortable operating in a distributed, multi-user system with a strong sense of end-to-end ownership, • Rust familiarity is a bonus, backend services are written in it and there's scope to contribute at that layer Engineering culture This is a team that treats design decisions as seriously as code; options are documented, tradeoffs are considered at codebase level, and mature judgment is valued over ticket throughput. Engineers own problems end-to-end and communicate proactively. Interested? Please reach out!

As a Power Platform Engineer at Avanade, you will build complex, enterprise scale solutions using Microsoft Power Platform to solve our clients’ biggest problems. You will translate requirements into high quality, production ready applications and automations, working closely with architects, business analysts, testers and client stakeholders to deliver outcomes that matter. This is a hands on engineering role with a strong delivery focus. You will apply sound engineering practices across the full solution lifecycle including design, build, test, release and support, while ensuring robust application lifecycle management, security and data modelling. Experience with Copilot Studio is preferred; if you do not have this today, this role is a great opportunity to learn and get experience with Copilot Studio and the latest Microsoft AI technologies. Role Responsibilities • Build and enhance enterprise scale solutions using Microsoft Power Platform, including Power Apps (canvas and model driven), Power Automate, Dataverse and AI Builder., • Work with solution architects and technical leads to implement agreed designs and ensure alignment with security, governance, scalability and operational standards., • Collaborate with business analysts and client stakeholders to understand requirements and translate them into functional, user friendly solutions., • Partner with testers and quality engineers to plan and execute testing, resolve defects and ensure solutions meet functional and non functional requirements., • Design and implement Dataverse data models, including tables, relationships, business rules and security roles appropriate for enterprise solutions., • Implement security best practices across the platform, including role based access, environment controls and data protection considerations., • Build integrations using standard, premium and custom connectors, and design API based integration patterns where required., • Where appropriate, use Azure services including Azure Functions to extend Power Platform solutions and support more complex integration or processing needs., • Apply application lifecycle management practices for Power Platform, including solution packaging, environment strategy, deployment approaches and release management., • Identify opportunities to improve existing processes and solutions, proposing pragmatic enhancements focused on quality, performance and maintainability., • Stay current with Power Platform capabilities and contribute to knowledge sharing within delivery teams and wider communities of practice., • Where required, support pre sales activities through technical input, demonstrations and proof of concept development. Required Skills and Experience • Hands on experience building solutions with Microsoft Power Platform., • Microsoft Power Platform certifications are desirable., • Experience working in consulting or professional services environments., • Experience considering performance, reliability and operational support for enterprise scale solutions., • Familiarity with enterprise governance approaches and Centre of Excellence patterns for Power Platform., • Experience with Copilot Studio is preferred. If not currently held, a willingness to upskill over time is expected. Preferred Skills and Experience • Strong communication skills, with the ability to explain technical decisions and trade offs to both technical and non technical audiences., • Experience working collaboratively with architects, business analysts, testers and other engineers within multidisciplinary delivery teams., • Ability to work from requirements through to functional implementation, including configuration, build, testing and support., • Experience extending Power Platform solutions using Azure services such as Azure Functions where appropriate., • Experience integrating solutions using standard and premium connectors, and building and maintaining custom connectors where needed., • Experience implementing application lifecycle management practices for Power Platform, covering environments, solutions and deployment processes., • Experience using AI Builder to add intelligent capabilities to Power Platform solutions., • Experience working with Dataverse, including enterprise level data modelling and security roles., • Strong delivery experience with Power Apps (canvas and model driven) and Power Automate. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Real-time access to technical and skilled resources globally, • Collaborate with some of the brightest “Microsoft minds”, • Build your expertise, solve problems, learn, and develop Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

Product Builder 📍 London, UK | Full-time | Product About the Company A profitable, founder-led business with a decade in its industry. The company has built long-term relationships with leading global consumer brands, delivering services at scale. It is now entering a growth phase, expanding its technology platform built on proprietary data, enterprise relationships, and deep category expertise into a subscription-based, AI-native SaaS product designed for large organisations. This is a zero-to-one moment for a business that already has the customers, credibility, and commercial foundation to succeed. The Role The product team uses AI-native tooling to go from requirement to working product in days, not months. A Product Builder owns the full lifecycle: understanding what a customer actually needs, shaping the right solution, and shipping it. The role sits at the intersection of disciplines that used to require three separate people. No handoff. No ticket queue. What You'll Do • Own discovery to delivery: Join customer and stakeholder calls, extract the real requirement underneath the stated one, then build it, • Build with AI-native tools: Use tools like Claude Code, Cursor, and equivalents to ship working software fast; know when to generate, when to edit, when to reason from first principles, • Make product decisions under uncertainty: Scope features sensibly, make the right speed/correctness tradeoffs, know when to ship and when not to, • Test and hold quality: Think adversarially about your own work; cover edge cases, write tests, catch bugs before users do What They're Looking For Your primary instinct should be product; you think in users, workflows, and outcomes first. You need enough technical depth to understand tradeoffs, know what's genuinely hard, and actually build. You don't need to be a senior engineer. You need to have built things and not be intimidated by code you didn't write. Technical familiarity required across: • Frontend vs backend tradeoffs, • REST APIs and data models, • Databases and data modelling basics, • Caching strategies, • Deployment environments (staging, production, CI/CD), • UI component libraries, • Authentication flows, • Performance fundamentals Nice to have: • Startup shipping experience, • Comfort with ambiguity, • Side projects you actually finished, • Opinions about what makes software feel good, • Experience in creator economy / social media platforms The Details • Compensation: Market-competitive salary + annual bonus scheme, • Location: London-based; team is mostly remote with regular in-person days, • Work authorisation: Must have existing right to work in the UK or EU, no visa sponsorship available, • Time off: 25 days PTO + bank holidays + 4 company days + 3 wellness days + paid sick leave, • L&D: Annual learning & development budget

Node.js Contractor – AI Tool Replatforming Remote | Outside IR35 | £450–500/day We are looking for an experienced Node.js contractor to help replatform and modernise an internally developed AI-driven data platform. The existing tool was rapidly developed by a member of the technical team using AI-assisted development tools and is currently running locally on a laptop environment. We now need an experienced engineer to rewrite/refactor the application into a secure, production-ready Node.js solution suitable for deployment within our server infrastructure. The Role You will take ownership of analysing the current Python-based application and rebuilding/refactoring it into a scalable and maintainable Node.js platform. The application: • Pulls data from multiple external sources including:, • RSS feeds, • Websites, • APIs, • Processes and stores data within a database Required Skills & Experience • Strong commercial experience with Node.js, • Experience refactoring or rewriting existing applications, • Solid understanding of secure software engineering practices, • Experience building applications that integrate with APIs, web scraping, and data feeds, • Database design and integration experience, • Front-end development capability (React/Vue/modern JS frameworks beneficial), • Experience deploying applications into production server environments, • Understanding of authentication, security hardening, and application resilience, • Ability to work independently and make pragmatic architectural decisions Desirable • Previous experience working with AI/LLM-powered applications, • Python experience to help interpret the existing codebase, • Experience preparing systems for penetration testing/compliance review, • DevOps/cloud infrastructure experience Contract Details • Contract: Outside IR35, • Rate: £450–500 per day, • Location: Fully remote, • Start: ASAP, • Duration: Initially 10-12 weeks but potential for extension We’re looking for someone pragmatic, technically strong, and comfortable taking an early-stage internal tool and turning it into a secure, production-grade platform.

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, • 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, 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.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Customer Success Engineer Company: Abacus.AI Location: Remote / (US EST Timezone) Type: Full-time About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value. Key Responsibilities: • Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals., • Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption., • Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience., • Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision., • Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform. Required Qualifications: • Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer., • Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment., • Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment., • Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs. What We Offer: • Competitive salary and equity package, • Opportunity to work with cutting-edge AI technology, • Collaborative and innovative work environment, • Professional development and learning opportunities

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

Shape the Future of Motorsport Innovation We are passionate about delivering world-class motorsport experiences and pushing the boundaries of engineering excellence. Innovation has been at the heart of everything we do for decades, driving technologies and solutions that make an impact both on and off the track. Behind every event, broadcast, and technical achievement is a team of passionate experts working together across engineering, operations, logistics, production, media, and technology to create unforgettable experiences for millions of fans worldwide. We are now looking for an experienced and driven Principal Mechanical Design Engineer to join our Mechanical Design team and play a key role in delivering cutting-edge engineering solutions across high-profile projects. Role Overview Reporting to the Mechanical Design Manager, you will lead the design, development, and delivery of high-quality mechanical systems and solutions from concept through to deployment and operational support. This is an exciting opportunity for a technically strong and commercially aware engineer who thrives in fast-paced, high-performance environments and enjoys solving complex engineering challenges. Key Responsibilities • Lead the design, development, and delivery of innovative, reliable mechanical systems and components, supported by comprehensive technical documentation., • Create detailed 3D models, 2D drawings, assemblies, and engineering documentation for Mechanical Engineering and R&D projects., • Support the maintenance, modification, troubleshooting, and repair of mechanical systems both in the UK and internationally., • Diagnose and resolve technical issues quickly and effectively in high-pressure operational environments., • Collaborate with internal teams, suppliers, manufacturers, and external partners to define requirements and deliver engineering solutions., • Drive projects through the complete engineering lifecycle, including concept design, development, prototyping, testing, manufacturing, commissioning, and operational handover., • Produce clear technical reports, specifications, and user documentation to support engineering delivery and operational excellence., • Maintain and administer Windchill/PDMLink systems, drawing databases, and associated engineering documentation., • Ensure designs align with manufacturing capability, reliability requirements, sustainability objectives, and operational performance standards., • Provide technical leadership, mentoring, and guidance to engineers and technicians, promoting best practice and right-first-time delivery., • Take ownership of complex engineering projects, managing scope, schedules, risks, budgets, and technical performance to achieve key programme milestones., • Occasionally travel internationally to support live events, installations, maintenance activities, and operational engineering support. What We’re Looking For Personal Attributes You will be: • Highly organised with the ability to manage multiple projects and priorities simultaneously., • A proactive and self-motivated problem solver who performs well under pressure., • Comfortable working independently while also collaborating effectively within multidisciplinary teams., • Adaptable and capable of responding quickly to changing priorities and tight deadlines., • A confident communicator with the ability to engage professionally with stakeholders at all levels. Qualifications The following qualifications would be advantageous: • Degree, HND, or equivalent qualification in Mechanical Engineering, Product Design Engineering, or a related discipline. Essential Experience • Minimum 5 years’ experience using PTC Creo for mechanical design., • Strong experience using AutoCAD., • Proven experience administering and releasing data through Windchill PDMLink (or similar PLM systems)., • Strong background in complex mechanical design and engineering analysis., • Excellent understanding of technical drawing standards, particularly BS8888., • Experience managing mechanical engineering projects from concept to delivery., • Strong analytical thinking and problem-solving capabilities., • Excellent communication and stakeholder management skills. Desirable Experience • Experience leading or mentoring mechanical engineers and technicians., • Technical management experience within engineering teams., • Experience working within fast-paced, high-performance engineering environments. Knowledge & Skills • Strong practical engineering capability with excellent understanding of ergonomics, aesthetics, shock, and vibration considerations., • Knowledge of a broad range of materials and manufacturing processes., • Experience with low-volume manufacturing and bespoke product design., • Understanding of aluminium fabrication design., • Ability to produce clear technical reports, specifications, and engineering documentation., • Strong project management and organisational skills., • Ability to manage multiple large-scale engineering programmes concurrently., • Awareness of sustainable engineering principles and their application within product design.

Software Engineer (Java) Location: UK/Ireland (remote) Please note: You need to be based in the UK or Ireland No Visa sponsorship offered Salary: Up to £50k Engineer systems that power real-world commerce. Our client is building the next generation of capabilities that power a fast-growing, merchant-focused ecosystem. Their mandate is clear: deliver value radically, responsibly, and consistently. They believe focused, empowered teams can achieve exceptional outcomes. They value results over activity, curiosity over complacency, and practical execution over unnecessary process. If you’re driven by impact and enjoy solving meaningful technical challenges, this could be an excellent fit. The Role As a Software Engineer, you will design and develop backend services, APIs, and portal systems that operate within high-availability payment processing platforms. Working within a dynamic development centre, you’ll engage with modern frameworks, tools, and engineering practices including: • Behaviour-Driven Development (BDD), • CI/CD pipelines, • AI-assisted development tools From requirements analysis through to production release, the team owns the full lifecycle. You may work independently on focused initiatives or as part of a larger squad, always empowered to concentrate on solving technical problems rather than navigating inefficient processes. Key Responsibilities • Translate merchant and partner needs into high-quality, scalable backend solutions, • Design and build robust Java-based systems and RESTful APIs, • Improve development processes through automation, simplification, and applied engineering experience, • Collaborate to ensure technically sound, observable, and testable deliverables, • Contribute to estimation, planning, and proactive risk management, • Support deployment to test and production environments, • Take ownership beyond assigned tasks, adjusting priorities where required, • Demonstrate professionalism, flexibility, and strong team collaboration What They’re Looking For • 3–5 years’ experience in a Software Engineering role, • Degree in Computer Science or related discipline, • Strong Java backend development experience, • Proficiency in Spring Boot or J2EE, • Solid understanding of Spring Core (IoC and Dependency Injection), • Strong experience with relational databases, schema design, complex queries, and performance optimisation, • Experience designing and implementing scalable RESTful APIs, • Hands-on experience building high-availability, high-concurrency systems at scale, • Strong understanding of Design Patterns, Refactoring, and Object-Oriented Design principles, • Experience with Git, CI/CD pipelines, and modern development methodologies, • Familiarity with AI-driven development tools (e.g., Windsurf, Claude Code, or similar), • Self-starter mindset, comfortable operating independently or within a team, • Strong analytical, problem-solving, and communication skills, • Detail-oriented, proactive, and able to work effectively under pressure What You Can Expect • An empowered engineering culture, • Clear ownership and accountability, • A high-performance yet pragmatic working environment, • Continuous learning and professional growth, • The opportunity to build resilient systems that operate at real scale If you’re looking to engineer scalable, high-availability systems within a culture that values autonomy and technical excellence, this is a strong opportunity to make meaningful impact. Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

Working for one of the countries leading supplier of engineers to the telecoms industry. Join this growing team to develop your career with long-term fibre installation work. Fully expensed van and tools provided. Broadband FTTP Installation Engineer Working on the City Fibre Network Self-Employed (CIS) | £64 per install, per pair - Plus bonuses Do you live in or within 15 miles of one of the following postcodes: Reading (RG, GU), Bournemouth (BH, DT, SO), Aberdeen (AB), Glasgow (G, ML, FK, KA), Portsmouth (PO), Sheffield (S, DN), Northampton (NN), Swindon (SN), Ipswich (IP), Cambridge (CB), Dewsbury (WF), Chippenham (SN), St Albans (AL), Hull (HU), Newcastle Upon Tyne (NE, SR), Dundee (DD), Huddersfield (HD, BD, HX), Leeds (LS), Slough (SL), Bognor Regis (PO), Chelmsford (CM), Erdington (B72), Hartlepool (DH, TS), Southend on Sea (SS), Inverness (IV), Maidenhead (SL), Plymouth (PL) The Role · Installing fibre broadband in customer homes · Working at heights (15 Metres) and within underground networks · Fibre splicing, testing, and fault-finding · Working independently and to KPIs · Following Health & Safety procedures at all times Who Should Apply · Engineers with previous telecoms, fibre, or broadband installation experience · Engineers returning to telecoms who may need refresher training or updated accreditations · Candidates with experience on the CityFibre or Alternative networks · Safety-conscious individuals who follow procedures and standards · People comfortable working outdoors year-round · Candidates confident using smartphones or handheld devices to follow job instructions· Reliable, organised problem-solvers · Full UK manual driving licence (held for at least 12 months, maximum 6 points) Role Benefits: · Pay per completed installation once deployed · Training and deployment support · Van, tools, fuel card, PPE, and uniform provided · Industry-recognised qualifications · Long-term work opportunities What’s in It for You · Pay per completed installation once deployed · Training and deployment support · Van, tools, fuel card, PPE, and uniform provided · Industry-recognised qualifications · Long-term work opportunities What Happens Next ·Application review ·Short Microsoft Teams meeting · Training / assessment · Deployment onto live FTTP work Contact us on 01865 591281 option 1 - our dedicated telecoms engineer line. One of our team is waiting to assist you.

Senior Python Software Engineer Permanent | UK Remote + Travel We’re hiring a Senior Python Software Engineer to join a globally distributed engineering team working on cutting-edge AI-driven digital solutions for major enterprise organisations. This is a permanent, full-time position for UK-based candidates. While the role is primarily remote, it involves regular travel to client sites across the UK and Europe, with all travel expenses covered. About the Company They are a globally distributed team of engineers, data specialists, and designers focused on building modern digital platforms and intelligent software solutions for enterprise clients. Their teams partner with organisations to modernise legacy systems, develop innovative digital products, and implement AI-powered technologies that deliver real business impact. We pride ourselves on combining deep technical expertise with a collaborative, people-first approach to engineering. With a presence across multiple countries, our engineers work closely with clients to solve complex technical challenges and deliver scalable, high-performance applications used by millions of users worldwide. The Role • As a Senior Python Engineer, you will play a key role in designing and building scalable applications, often incorporating modern AI frameworks and data-driven technologies, • You’ll work alongside experienced engineers, architects, and client stakeholders to deliver robust solutions in fast-moving project environments, • This role suits someone who enjoys technical ownership, solving complex problems, and collaborating closely with both internal teams and client organisations Key Responsibilities • Design, develop, and maintain Python-based applications, • Contribute to technical design, architecture, and engineering best practices, • Build scalable data storage and processing solutions, • Optimise application performance for speed, scalability, and reliability, • Translate complex business requirements into technical solutions, • Collaborate with engineers, technical leads, and client teams, • Contribute to source control, build, and deployment standards, • Gather feedback from stakeholders and continuously improve solutions, • Support project delivery alongside technical leadership What We’re Looking For • 8+ years of commercial software engineering experience, • Strong expertise in Python and modern AI frameworks, • Experience building AI-powered applications or working with agent-based frameworks (e.g., LangGraph, Agentspace, or similar), • Strong understanding of Git and version control workflows, • Experience with unit, integration, and end-to-end testing, • Hands-on experience with cloud platforms and database technologies, • Familiarity with CI/CD pipelines and automation practices Nice to Have • Experience with Golang, • Frontend experience with React, • Knowledge or hands-on experience with Kubernetes Please note: visa sponsorship is not available for this role. If this role sounds of interest please apply asap with your most recent CV.

Senior Java Engineers (12x) — Contract - (Financial Services / Investment Management) • Location: Remote First, • Engagement Type: Contract, • IR35 Status: Outside IR35, • Day Rate: £600 - £700 Per Day (Monthly Pay) Our client is a leading UK investment management platform currently undertaking a major back-office transformation programme. The programme centres on the integration of a third-party institutional custody and clearing platform, replacing legacy back-office infrastructure with a modern, cloud-native architecture built to handle high-throughput financial operations across settlement, custody, corporate actions processing, and reconciliation. The programme is multi-year, well-funded, and operating at pace. Engineers joining at this stage will be working on technically complex integration and platform problems with real impact across the business. Role Overview We are seeking multiple Senior Java Engineers to join the programme engineering team. You will be responsible for designing and delivering robust, high-performance Java services that integrate with both the incoming custody platform and existing internal systems. You will work within cross-functional agile squads and are expected to contribute from day one with minimal ramp-up. Key Responsibilities: • Design, develop, and deliver high-quality Java microservices in support of back-office platform integration, • Build and maintain RESTful and event-driven APIs supporting settlement, reconciliation, corporate actions, and custody workflows, • Integrate with third-party financial platform APIs and messaging systems, • Contribute to technical design discussions, architecture reviews, and solution documentation, • Write clean, well-tested, production-grade code with appropriate unit, integration, and contract testing coverage, • Participate in code reviews and uphold engineering standards across the squad, • Identify and resolve performance, reliability, and scalability issues, • Work closely with business analysts and platform specialists to understand domain requirements and translate them into technical implementations, • Support DevOps practices including CI/CD pipeline maintenance, deployment automation, and cloud infrastructure management Skills and Experience • Strong, demonstrable experience as a Senior Java Engineer in a production environment, • Proficiency in Java 11+ with Spring Boot, Spring Cloud, and associated ecosystem tooling, • Solid understanding of microservices architecture, RESTful API design, and event-driven patterns, • Hands-on experience with AWS (minimum two of: ECS, Lambda, SQS/SNS, RDS/Aurora, S3, API Gateway, CloudWatch), • Experience with message streaming platforms, preferably Apache Kafka, • Competency with containerisation using Docker and orchestration via Kubernetes, • Strong unit and integration testing discipline (JUnit, Mockito, contract testing), • Familiarity with CI/CD tooling (Jenkins, GitHub Actions, or equivalent), • Experience working in agile delivery environments within complex, multi-team programmes This role is being managed exclusively by a specialist FS technology contract recruitment consultancy. All applications will be handled in strict confidence.

UK‑Wide Remediation Projects Looking to accelerate your career with one of the UK’s most respected remediation contractors? VertaseFLI is searching for a talented Environmental Engineer to join our technically driven, hands‑on team. If you’ve got a few solid years under your belt and want real responsibility, real variety and real progression, this is the role that will take you there. What You’ll Do You’ll play a key role across the full lifecycle of our remediation projects — from early design and investigation through to delivery, monitoring and verification. Expect a mix of office and site work, exposure to a wide range of technologies, and the chance to work closely with project managers, site teams, clients and regulators. You’ll get involved in: • Designing and delivering Phase 1 & Phase 2 site investigations, • Environmental monitoring, sampling and data interpretation, • Supporting remediation design, pricing and tender development, • Producing technical reports, deployment forms and validation documentation, • Risk assessments for human health and controlled waters, • Liaising with clients, suppliers and regulators, • Deputising for Site Managers or Project Managers when required This is a role where you’ll learn fast, contribute immediately and build a strong technical foundation for future progression. What You’ll Bring • Degree in a relevant environmental or engineering discipline, • Around 3–5 years’ experience in site investigation, monitoring or remediation, • Strong understanding of environmental regulations, • Experience with verification data, GIS and sampling techniques, • Confident communicator with excellent organisational skills, • Full UK driving licence + relevant CSCS card Why VertaseFLI? Because you’ll be joining a company that doesn’t subcontract its remediation work — meaning you get hands‑on experience with a huge range of technologies and project types. You’ll work alongside industry experts, gain exposure to major UK projects and have clear pathways to progress into senior technical, project management or specialist roles.

Senior Full-Stack Engineer Introduction Join a specialist platform operating at the heart of telecoms, compliance, and secure business messaging. This is a senior, hands-on role where you’ll take real ownership of a product that underpins trust, validation, and risk decisioning at scale. Role Overview: • Location: Remote (UK-based), • Package: Competitive salary + benefits, • Industry: Telecoms / SaaS / Compliance Technology What You’ll Be Doing: • Owning the platform end-to-end, from architecture through to delivery, • Designing and building scalable backend services and APIs, • Enhancing and maintaining modern frontend applications, • Defining data models and implementing decisioning logic, • Improving system performance, reliability, and observability, • Driving automation across CI/CD, testing, and deployment workflows, • Collaborating with leadership to shape technical direction and roadmap, • Ensuring systems meet high standards for security, auditability, and compliance Main Skills Needed: • Strong background in building and running production-grade systems, • Solid backend engineering expertise and API design experience, • Good understanding of relational databases and data modelling, • Experience working in regulated or audit-heavy environments, • Full stack capability across frontend, backend, and database layers, • Knowledge of secure integrations, authentication, and access control, • Familiarity with workflow-driven systems and decisioning logic, • Ability to work across multiple technologies (e.g. Elixir, Node.js frameworks, React-based frontends, PostgreSQL, AWS), • Experience or interest in AI-assisted development and code validation What’s in It for You: • Genuine ownership of a critical, high-impact platform, • Opportunity to influence architecture and technical direction, • Work on products supporting telecom operators and global partners, • Exposure to a unique blend of telecoms, cloud, and applied AI, • Small, agile team with fast decision-making and visible impact, • Remote-first working with flexibility and autonomy, • A culture built on clarity, accountability, and long-term thinking If you’re nodding along, let’s take the next step. 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.

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

FIELD SERVICE ENGINEER - PERMANENT POSITION We are currently recruiting for a hands-on Field Service Engineer to support the deployment, maintenance, and optimization of an advanced vision-based Real-Time Location System (RTLS) across customer sites throughout the UK logistics sector. This customer-facing role combines installation, commissioning, fault finding, and ongoing technical support for cutting-edge AI-powered camera systems designed to improve operational safety and productivity in industrial environments. As a Field Service Engineer, you will work directly on customer sites, carrying out equipment installation, system configuration, diagnostics, preventative maintenance, and troubleshooting activities. You will act as a key technical contact for customers, ensuring systems operate reliably while delivering a high standard of service and support. The role offers exposure to advanced technologies including computer vision, AI-driven tracking systems, industrial networking, and safety solutions. You will work closely with internal engineering, product, and commercial teams, providing valuable field feedback to support continuous product improvement. This is a varied and highly practical role involving regular UK travel, customer interaction, and opportunities for long-term technical development as the business continues to grow. Key Responsibilities: • Install, configure, test, and commission RTLS hardware and software systems at customer locations., • Carry out on-site fault finding, diagnostics, and repairs to ensure maximum system uptime., • Provide first-line and second-line technical support to customers both remotely and on-site., • Perform preventative maintenance, system health checks, and performance optimisation activities., • Support customer training and handovers following installation and commissioning., • Work closely with customers to resolve technical issues quickly and professionally., • Assist with system upgrades, software updates, and configuration changes., • Complete service reports, installation documentation, and technical records accurately., • Support technical demonstrations and occasional trade show or customer event activities., • Collaborate with engineering and product teams to escalate recurring issues and provide field feedback., • Ensure all work is completed in line with health & safety and site compliance requirements., • Travel regularly across the UK to support customer sites as required. Skills & Qualifications: • 2+ years of experience in a Field Service Engineer, Service Technician, Installation Engineer, or similar technical role., • Degree, HNC/HND, apprenticeship, or equivalent qualification in Engineering, Electronics, Electrical Engineering, Mechatronics, or a related discipline., • Strong hands-on electrical, electronic, or electro-mechanical troubleshooting skills., • Experience working with industrial systems, CCTV/camera systems, networking, automation, or related technologies would be advantageous., • Interest in technologies such as computer vision, AI systems, RF technologies, and industrial safety applications., • Ability to diagnose and resolve technical faults independently in customer-facing environments., • Strong organisational and time-management skills with the ability to manage multiple service activities., • Comfortable working independently and travelling regularly to customer sites., • Excellent communication and customer service skills., • Good working knowledge of IT systems and networking principles., • Experience with Linux and Python would be beneficial but not essential., • Full UK driving licence and willingness to travel extensively across the UK., • Fluent in English, both written and spoken. The Offer: • A permanent, full-time employment contract, • A salary & benefits package commensurate with experience Please send over your CV to or call me on +32 (0) 3 318 00 74. As always, we are open to recommendations, so please feel free to pass this on to other suitable candidates.

We're currently recruiting for a hands-on Project Engineer to lead the deployment and support of a vision-based real-time location system (RTLS), designed to enhance safety and productivity throughout the logistics industry, across customer sites in the UK. This role sits at the intersection of engineering, customer delivery, and technical support. You will work directly with customers to install, configure, and optimise cutting-edge camera-based systems, ensuring successful deployments and long-term performance. You will also act as a key technical contact for existing customers, helping to troubleshoot issues, deliver enhancements, and ensure a smooth user experience. The position offers broad exposure to advanced technologies including computer vision, AI-driven tracking systems, and industrial safety applications. You will work closely with internal engineering, product, and commercial teams, contributing directly to product improvement through real-world customer feedback. This is a highly varied, hands-on role with significant customer interaction, regular travel across the UK, and strong opportunities for professional development as the product and team continue to scale. Key Responsibilities • Lead the installation, configuration, and commissioning of RTLS solutions at customer locations., • Provide first-line technical support to existing customers, ensuring timely issue resolution., • Deliver remote monitoring and configuration, with regular on-site visits as required., • Support technical sales activities, including customer consultations and solution design., • Conduct product demonstrations at customer sites, events, and trade shows., • Collaborate with the sales team to prepare presentations, documentation, and proposals., • Work closely with customers, external partners, and internal teams to ensure successful project delivery., • Develop and maintain deep technical expertise in our camera-based, AI-powered RTLS platform., • Gather and communicate customer feedback to contribute to continuous product improvement. Skills & Qualifications • 2+ years of experience in a technical or engineering role., • Degree in Engineering or a related field., • Interest in technologies such as electronics, RF systems, computer vision, and safety applications., • Strong problem-solving and analytical skills., • Ability to work systematically, accurately, and independently., • Hands-on, flexible, and able to adapt in dynamic environments., • Proven ability to prioritize and manage multiple tasks/issues simultaneously., • Excellent communication skills, both verbal and written., • Fluent in English., • Valid driver’s license and willingness to travel regularly., • Experience with Linux and Python is a plus. The Offer: • Permanent employment contract, • Competitive yearly salary + benefits