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Lead AI Engineer Hybrid Working on Client Site £90,000 to £110,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

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!

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

GCP Data Engineer - Dataflow 6 Month Contract Inside IR35 Up to £650 per day Remote We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks. What you’ll be doing: • Designing and building ETL/ELT pipelines, • Developing scalable data workflows on GCP, with a strong focus on Google Cloud Dataflow, • Implementing robust data ingestion frameworks using batch and streaming approaches, • Working with structured and semi-structured data, • Collaborating with Data Modelling & Analytics teams, • Driving data reliability, monitoring, and observability, • Automating deployments and workflows, • Contributing to tooling and framework decisions What we’re looking for: • Strong ETL/ELT pipeline experience, • Proven GCP data services expertise, including hands-on experience with Google Cloud Dataflow (essential), • Strong SQL and data transformation skills, • Experience with orchestration and pipeline automation, • Background in modern data architectures (lakehouse/warehouse), • Proactive, ownership-driven mindset Nice to have: • Data Vault 2.0 exposure, • BigQuery optimisation experience, • Open-source data framework experience, • CI/CD for data pipelines

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).

📍 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

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.

Senior Founding Software Engineer (tech lead), Eye-Health Platform Location: Remote (UK-based preferred) Reporting to: CEO (Dhruvin Patel) Business: Ocushield: UK eye-health business with consumer products and a digital screening platform serving cash plans, insurers and corporate partners About Ocushield Ocushield is a UK eye-health business building both physical products and a digital eye-screening platform. We were founded by practising optometrists who saw a generation of people developing eye strain, fatigue and reduced focus earlier in life, driven by unprecedented screen use at work and at home. Today we sit at the intersection of health, performance and modern work. Alongside our profitable direct-to-consumer business, we work with cash plans, insurers and direct corporate customers who see eye health as the next frontier of workplace wellbeing. Our consumer business is profitable and our digital ARR is growing, with active commercial conversations underway with major UK health and insurance partners. We are now replatforming our digital screening product from a low-code tool to a native, data-centric platform. The tech lead, leads that work. The role You will lead the technical replatform of our digital eye-screening product to a native, data-centric platform. This is greenfield architecture from someone who has done it before. You will be hands-on coding, setting the architecture, working with a contractor who maintains the existing build, and shaping the engineering function as we grow. You will work directly with the founder and our clinical lead, Dr. Raj Kohli. This is not a co-ordination role. We are looking for a senior builder who can set the technical direction and ship the first version themselves. Why now • Our existing low-code platform has validated demand but cannot support the next stage of customer engagement, partner reporting, the recommendation engine, ecommerce attribution or scalable B2B growth., • The strategic goal is to turn the Screener into a vision-health engagement platform that captures structured, user-level data. A proprietary eye-health dataset is the long-term competitive moat., • Scaling fast across multi-national enterprise clients, • Active commercial conversations with major UK health and insurance partners give the platform a clear demand signal. What you’ll work on • Architect and build a native eye-screening platform to replace our low code solution, with full ownership of stack choices., • Build a user account system with progressive unlock, saved results and longitudinal tracking. Account creation before results is the central UX challenge: value needs to be visible both before and after sign-up to keep drop-off in check., • Build the structured data-capture and reporting layer for B2B partners across cash plans, insurers and retail pilots., • Build a recommendation engine that routes screening output to product and service recommendations, and captures why users ignore products, not just what they click., • Design symptom follow-ups at 30 and 90 days as a re-test experience, rather than as marketing prompts., • Manage the commercial relationship with the contractor who is maintaining the existing product in parallel., • Work with our clinical lead on safety review and clinical correctness, which runs in parallel with the build., • Shape the engineering hiring plan as the platform scales, likely one or two engineers in Year 2., • Set the technical standards, review process and operating model for the engineering function., • Brief and collaborate with our design/UX team member on user research and journey design, particularly the account creation flow which is the single biggest UX challenge for the replatform, • Own the technical contribution to product trade-off conversations: feature sequencing, scope cuts, technical debt acceptance What you’ll bring Experience • 6+ years’ engineering experience, with at least 2 to 3 years leading platforms end to end., • Strong full-stack capability on a modern web stack. Stack preferences are below; we are open to a candidate proposing alternatives., • Experience with greenfield builds and with legacy systems running in parallel., • Data-platform thinking. You understand the difference between collecting data and building a structured dataset that compounds in value., • Experience hiring and managing engineers. Mindset • Comfortable as a hands-on builder, not just an architect. You write production code., • Comfortable in a startup or early-stage scale-up environment, with ambiguity and direct ownership., • Pragmatic about trade-offs between speed, quality and what to leave for later. Tech stack preferences We have a working view of the stack but are open to the right person proposing alternatives: • TypeScript and Node.js, or Python, on the backend., • React or Next.js on the frontend., • PostgreSQL or a similar relational database for structured data., • Cloud-native on AWS or GCP., • API-first design., • Modern data tooling such as dbt, with an awareness of event streaming. Nice to have • Health-tech or regulated-industry experience, ideally medical-device adjacent or with GDPR-sensitive data., • B2B or B2B2C SaaS experience, particularly where employers or insurers are the buyer and employees are the users., • Experience integrating with insurer or benefits-platform APIs., • Experience with recommendation engines or personalisation., • Patent-eligible algorithm work. IP creation matters to us., • Familiarity with Embeddables or other low-code platforms, useful for the migration phase. How we work • Remote-first and async-friendly., • Small team, fast moving, founder-led., • Weekly stand-ups and quarterly off-sites., • We ship and iterate. We do not build for perfection., • Our clinical lead works alongside engineering on feature accuracy and safety. 💚 Why Join Ocushield? 👁️ Purpose-driven work Build technology that helps people protect their vision in a screen-heavy world. Real health outcomes, not vanity metrics, with products trusted by major UK healthcare partners. 🚀 Build something meaningful Architect our digital eye-health platform from low-code to a native, data-centric stack. Greenfield work that compounds in value over time as the proprietary clinical dataset grows. 🎯 Real ownership Work directly with the founder and our clinical lead. Decisions get made in days, not quarters. No middle layer between you and strategy. 🧠 Hands-on craft This is a building role, not a managing role. You write production code, set the architecture, and shape the engineering function as we grow. 🌱 Profitable and scaling We are not a burn-rate startup. The business is profitable, the digital platform is growing fast, and the platform you build powers the next phase. Why you shouldn't apply • You need rigid structure and fixed specifications, • You want a large team around you from day one, • You prefer maintaining systems over building new ones, • You’re not comfortable owning outcomes end-to-end, • If the idea of building something new, scrappy, and impactful excites you — not scares you — then you’ll thrive at Ocushield. Compensation • Remuneration up to £85,000 with stock options, • Pension, holiday and equipment budget on standard terms., • Remote-setup support.

Lead Machine Learning Engineer UK - remote, 35 hour work week Up to £95k + bonus 12m FTC (strong view to go permanent) A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. This is a key role focused on building and leading ML engineering capability, delivering scalable AI solutions, and shaping the organisation’s data and AI strategy. The role • Lead the development of machine learning engineering capability across the business, • Design, build, and productionise ML models and data products, • Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance), • Build scalable data and ML pipelines on Azure-based platforms, • Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions, • Contribute to data architecture, standards, and best practice across the organisation, • Provide technical leadership, mentoring, and guidance to engineers and wider teams What they’re looking for • Strong experience in ML engineering, MLOps, and data/AI architecture, • Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred), • Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks), • Hands-on experience with NLP and LLMs, including deployment and optimisation, • Experience building scalable pipelines, model governance processes, and production systems, • Ability to translate business requirements into robust technical solutions, • Strong stakeholder management and leadership experience Why apply • Opportunity to build and shape ML engineering within a growing data function, • High-impact role with ownership of architecture, tooling, and best practice, • Exposure to modern AI and LLM use cases, • Clear pathway to a permanent role Please note: sponsorship is not available for this role.

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 hiring an Engineering Manager to lead and grow one of our engineering teams. This is a people first role for someone who is genuinely excited about the craft of leadership. You will own the performance, growth, and culture of your team, working closely with Product and Lead Engineer to create an environment of genuine ownership and high autonomy. This role requires a strong engineering background, not to own the technical direction, but to earn credibility, ask the right questions, and know when to step in. What You’ll Be Doing • Own performance, development, and progression of your team, • Own the individual performance and development of your direct reports, setting a high bar, giving honest feedback, and creating conditions for engineers to grow into real ownership., • Build a self-organised team, initially playing a facilitating role in ceremonies, with the explicit goal of no longer being needed to run the process., • Partner with Product on roadmap planning, making sure engineers understand the context behind the work, not just the tickets in front of them., • Own your team's delivery, keeping engineers unblocked, priorities clear, and commitments met., • Spot patterns in how your team operates, design better ways of working, and build the automation that powers those improvements., • Stay close enough to the codebase to spot friction, improve developer tooling, and engage credibly in technical discussions, without stepping onto the critical path., • Drive hiring alongside our Recruitment team, contributing to interview process design, and a high-quality candidate experience., • Set the cultural expectation around AI coding tools, building team-wide norms for responsible, high-quality AI-assisted engineering. What We’re Looking For • Extensive experience in software engineering, with genuine hands-on technical experience. You know what good code looks like and can get into the details when it matters., • Proven experience as an Engineering Manager or Team Lead, with real ownership of individual performance and team culture., • A track record of building high-trust, high-autonomy teams, not teams that work because of you, but teams that work because of the environment you built., • Good understanding of Node.js or Python, and React. Enough to have credible technical conversations, review code, and debug issues alongside your team., • Experience with Agile/Scrum, and a track record of improving how teams deliver, not just following a process., • Genuine excitement about AI coding tools. You use them yourself, you help your team use them well, and you stay current on what's emerging., • You enjoy management and leadership problems. Growing and unblocking people, building the processes and frameworks that make the team better. These are things you actively want to do. Why Aveni • We're building AI systems for a sector where trust and safety genuinely matter and we take that seriously in how we engineer., • High-trust, high-autonomy culture: we give engineers real ownership and expect them to use it., • AI-native engineering culture. We use AI tools across the full software lifecycle and expect our engineering leaders to lead from the front., • High-growth fintech at an exciting moment. New products launching, the team scaling, and the chance to shape how engineering works at Aveni for years to come. 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: • We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused., • 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

Pay: £60,000.00-£70,000.00 per year DOE Important A CV and a short cover letter are required for this role. Your cover letter should briefly explain why you are interested in the role and how your experience, skills, and approach align with what we are looking for. If you are unable to attach a cover letter via LinkedIn, please email it to careers@iqhealthtech.com, including your NAME, the ROLE TITLE, and CONFIRMATION THAT YOU HAVE APPLIED ON LINKEDIN in the subject line. Please complete all follow-up questions to progress to the next stage About iQ HealthTech At iQ HealthTech, we are dedicated to improving healthcare outcomes through innovative technology. Our flagship product, iQemo, supports safer and more efficient electronic systemic anticancer treatment (SACT) prescribing and is used by the NHS, private healthcare providers in the UK, Australia and beyond. As we continue to expand into new regions, our systems are built to operate in complex, regulated healthcare environments worldwide. Our systems support clinicians making critical decisions every day. Reliability, clarity and thoughtful engineering matter here. As we grow into new regions, we design our platforms to scale across jurisdictions, healthcare models and regulatory expectations without losing focus on quality or safety. Role Summary We are looking for a hands-on Platform and Cloud Engineer to help strengthen, simplify, and scale the cloud and delivery platform behind our products. This is a key role in a small but ambitious UK healthtech company operating in a regulated environment. Our core product, iQemo, is a cloud-hosted electronic chemotherapy prescribing solution used in oncology care. We also operate an Insurer Portal and support a growing data services capability. The role suits someone with strong Azure infrastructure, Kubernetes, CI/CD, and DevOps capability, combined with a practical, service-oriented mindset. You will improve reliability, observability, deployment maturity, security posture, and infrastructure consistency, while working closely with developers to reduce operational friction and support more frequent, lower-risk releases. We are looking for someone technically strong, pragmatic, and calm under pressure, who is comfortable taking ownership of a cloud estate where priorities matter and good judgement counts. Why Join Us? • Fully remote role with flexible working options, • Personal development plans, including a professional development/training budget, • 25 paid holiday days plus bank holidays (your birthday off too!), • Enhanced maternity and paternity pay, • 4% employer contribution to company pension scheme, • Access to wellbeing apps, • Government-set working from home monthly allowance, • An opportunity to make a real difference by developing technologies that improve patient outcomes, • Paid out-of-hours developer support rota once onboarded, • Competitive salary with regular reviews and opportunities for growth, • Work with innovative systems serving both national private providers and the NHS Duties and responsibilities You will own and improve the cloud and platform foundations that support our products and engineering team. That includes Azure architecture and operations, Kubernetes platform support, CI/CD pipeline improvement, infrastructure as code, monitoring and alerting, identity and access configuration, environment reliability, and operational support. You will also play an important role in strengthening our security and compliance posture, supporting controls aligned with frameworks such as Cyber Essentials, SOC 2, and ISO 27001, and helping ensure our infrastructure and delivery practices are appropriate for a regulated healthtech SaaS business. As part of a small organisation, the role includes broader technical operations such as infrastructure troubleshooting, Microsoft 365 and Entra administration, networking support, and occasional out-of-hours work for critical issues or planned changes. Participation in a paid out-of-hours support rota is required once fully onboarded. Platform, cloud, and infrastructure • Own and improve our Azure environment architecture, configuration, maintenance, and operational health., • Support and evolve our cloud platform to improve stability, resilience, observability, security, and cost control., • Manage and support Kubernetes-based workloads, including deployments, configuration, troubleshooting, scaling, and operational reliability., • Maintain and improve core infrastructure services, environments, and platform components across development, test, and production., • Support infrastructure standardisation and simplification to reduce operational overhead and environment drift., • Help define the practical target-state platform architecture for a small regulated SaaS company. CI/CD, release engineering, and developer enablement • Build, maintain, and improve CI/CD pipelines to support faster, more reliable releases., • Work closely with developers to improve deployment automation, environment consistency, rollback capability, and release confidence., • Support a move from heavy, manual release processes toward more automated, repeatable, and controlled delivery., • Improve developer experience by reducing platform friction and making environments and deployment paths easier to use and support., • Support tools and practices such as Argo CD and GitOps-style deployment approaches where appropriate. Infrastructure as code and automation • Maintain and extend Terraform-based infrastructure as code., • Improve automation for environment provisioning, configuration, deployment, and operational support tasks., • Reduce manual platform work through scripting, standardisation, and repeatable operational patterns. Security, compliance, and operational controls • Support a proportionate, risk-based security posture across cloud infrastructure and delivery pipelines., • Contribute to infrastructure and operational controls aligned to Cyber Essentials, SOC 2, and ISO 27001 expectations., • Support secure identity and access management across Azure, Entra ID, and Microsoft 365., • Help improve secrets management, patching, vulnerability management, auditability, backup and recovery, and incident readiness., • Work with internal stakeholders on security remediation and infrastructure compliance priorities. Monitoring, support, and operational readiness • Improve monitoring, logging, alerting, dashboards, and operational visibility across environments and services., • Support troubleshooting of infrastructure, deployment, networking, and platform issues., • Assist with server management and environment support, including some out-of-hours support where required., • Help create runbooks, operational procedures, and support standards to reduce reactive firefighting and improve recovery times. Identity, networking, and Microsoft platform support • Support SSO and identity-related platform configuration in Azure / Entra., • Help resolve networking issues to and from our infrastructure., • Support administration and management of Entra ID and Microsoft 365 services where needed., • Provide broader technical operations and IT platform support appropriate to a small company environment. Key Skills Essential experience and skills • 6+ years’ experience in a relevant Platform Engineer, Cloud Engineer, DevOps Engineer, or Infrastructure Engineer role., • Strong hands-on experience with Microsoft Azure in production environments., • Strong experience building and maintaining CI/CD pipelines., • Practical production experience with Kubernetes, including deployment, troubleshooting, monitoring, scaling, and operational support., • Strong experience with Terraform or comparable infrastructure-as-code tooling., • Experience with Argo CD, GitOps approaches, or equivalent modern deployment tooling., • Strong understanding of cloud networking, access control, and infrastructure troubleshooting., • Experience improving platform reliability, observability, and operational readiness., • Experience supporting security controls and infrastructure compliance in a business-critical environment., • Good understanding of identity and access technologies including Entra ID / Azure AD, SSO, and Microsoft 365 administration., • Able to work closely with software developers and act as an enabling technical partner, not just an infrastructure gatekeeper., • Comfortable operating in a small company where breadth, ownership, and pragmatism matter. Highly desirable • Experience in healthtech, regulated SaaS, or another compliance-driven environment., • Experience with frameworks such as Cyber Essentials, SOC 2 or ISO 27001, • Experience with observability tooling, incident response processes, and production support improvement., • Experience managing or supporting Windows servers and mixed environments., • Experience with SQL Server, database administration, or performance/support troubleshooting., • Experience moving teams from manual to automated delivery processes, • Experience in small product companies with broad platform responsibilities Personal qualities • Calm, pragmatic, and reliable under pressure., • Strong ownership and follow-through, • Good judgement about risk, especially in live and regulated environments., • Able to balance speed with control., • Collaborative with a strong service mindset, • Comfortable with both strategic improvement and hands-on work, • Clear communicator across technical and non-technical audiences Why this role matters This role is central to improving platform stability, reducing delivery risk, strengthening security, and enabling more reliable and frequent releases. It supports the foundations needed for future product growth, interoperability, and data capability. In the first 12 months, you will improve platform stability, security, and scalability, enabling smoother releases, stronger monitoring, and less friction for engineers. Our Recruitment Process We’re committed to maintaining a safe and compliant workforce. The successful applicant will be appointed subject to satisfactory references and a basic DBS check. Applicants must have the legal right to live and work in the UK; we are unable to offer sponsorship.

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.

Do you want to work on production AI systems used by global pharmaceutical companies? Have you built LLM or data platforms that needed to work reliably in real customer environments? Are you ready to operate at the intersection of AI Engineering, platform architecture, and enterprise delivery? A Series A biotech AI startup is hiring a Forward Deployed Engineer to help enterprise customers integrate cutting-edge AI and knowledge graph technology into production workflows. Their platform combines NLP, LLMs, retrieval systems, and biomedical knowledge graphs to uncover relationships between diseases, proteins, and drugs across millions of scientific documents. The business works with pharmaceutical and biotech organisations globally and is scaling customer onboarding significantly following strong commercial traction. You’ll join a highly technical, remote-first team focused on solving complex scientific and engineering problems with real-world healthcare impact. This role sits between AI Engineering, Solutions Engineering, and customer delivery. You’ll work directly with technical customer teams to scope, architect, and deploy production AI workflows while also contributing to the company’s core platform and reusable capabilities. Key Responsibilities • Lead customer AI/data integrations from discovery through deployment, • Design and implement RAG, retrieval, and agentic AI workflows, • Build integrations around APIs, orchestration systems, and data pipelines, • Support deployment of LLM-powered systems into production environments, • Contribute to reusable platform capabilities and internal tooling, • Work closely with enterprise stakeholders and customer engineering teams, • Help architect solutions involving knowledge graphs, vector search, and cloud infrastructure Key Details • Salary: £80k–£130k + equity/share options, • Working model: Fully remote (UK-based) with occasional travel, • Stack: Python, LLMs, RAG, Neo4j, vector databases, Spark, dbt, Airflow/Dagster/Prefect, cloud warehouses, • Sponsorship: Currently unavailable Interested? Please apply below.

Compiler Engineer 📍 Remote (UK) 💰 Competitive + Equity The Company Join a Quantum hardware company building neutral-atom quantum computers and they are looking to hire a Compiler Engineer to work on their next-generation compiler and simulation stack. This is a true compiler role- not scripting, not tooling support. You’ll be building SSA-based compiler infrastructure, contributing to language design, and working directly alongside hardware and physics teams to co-design the compiler stack around real quantum systems. Compiler Engineer Responsibilities • Develop and maintain SSA-based compiler infrastructure across multiple abstraction layers, • Design and implement domain-specific languages tailored to quantum hardware, • Build and evolve compiler pipelines from low-level hardware instructions to high-level programming interfaces, • Integrate simulation tooling into the compiler and cloud stack, • Contribute to optimisation, scheduling, and hardware-aware compilation strategies Compiler Engineer Background • Strong foundations in compiler construction and programming languages, • Experience building or extending SSA-based compiler infrastructure, • Comfortable working across IR design, lowering, optimisation, and code generation, • Experience in at least one compiled language (C++, Rust, OCaml, Julia, etc.), • Deep understanding of Python semantics and interpreter behaviour This is one of the few opportunities where compilers are a core architectural driver of hardware - not just an afterthought. If you’re working in LLVM / MLIR / backend compiler infrastructure and want something genuinely deep-tech, let’s talk. Feel free to reach out to Harry Hansford @ IC Resources.

Senior Data Engineer (Contract) Remote (UK) 10 months £600 - £650 per day OUTSIDE IR35 A leading data consultancy is partnering with a large enterprise organisation to deliver a major cloud data platform programme. As part of this transformation, we are looking to bring in an experienced Snowflake Technical Lead to take full ownership of a key delivery workstream. This is a genuinely hands-on leadership role. It is best suited to an engineer who enjoys designing and building production-grade data solutions, rather than someone who wants to operate purely in architecture review or governance discussions. You will be trusted with real autonomy over implementation decisions while remaining clearly accountable for delivery outcomes Project Context This is a decommissioning and migration project. The organisation is retiring a legacy data setup and rebuilding its pipelines on Snowflake. The work spans the full picture, with a meaningful element of data modelling and design as pipelines are re-architected for the new platform. The legacy environment being dismantled is built on WhereScape RED and SQL Server. A core part of the project involves understanding that existing setup, unpicking how it works, and re-implementing the equivalent logic cleanly within Snowflake and dbt. The Role You will lead the technical delivery of a data pipeline workstream within Snowflake, operating as part of a wider transformation programme that is modernising the organisation's core data capabilities. You will own your workstream end-to-end — from analysing the legacy implementation, through data modelling and design, build, validation, deployment, and operational hardening, while working closely with delivery leads and stakeholders to keep momentum across the programme. Key Responsibilities • Analyse the legacy environment, picking apart the existing WhereScape RED and SQL Server implementation to understand current data flows and logic ahead of migration., • Design and build Snowflake data pipelines end-to-end, rebuilding legacy pipelines and taking source data through to consumable, well-modelled outputs., • Carry out data modelling and design, re-architecting data structures for Snowflake rather than simply lifting and shifting the legacy approach., • Implement transformation logic using dbt, applying sound modelling practices, modular design, and maintainable, well-documented code, • Apply validation rules and data quality controls to ensure the accuracy, completeness, and reliability of data moving through the pipeline, • Design logging, monitoring, and failure-handling approaches so that pipelines are observable, resilient, and straightforward to operate and troubleshoot, • Support deployment and CI/CD across environments, helping to ensure changes are released in a controlled, repeatable, and low-risk manner, • Work closely with delivery leads and stakeholders to communicate progress, surface risks early, and keep the workstream aligned with programme priorities, • Make and own implementation decisions, exercising technical judgement while remaining accountable for the quality and timeliness of deliver Essential Skills and Experience • Strong Snowflake engineering experience, including hands-on design and build of production workloads, • Solid dbt experience and advanced SQL skills, with a focus on clean, maintainable transformation logic., • Solid data modelling and design experience, with the ability to re-architect data structures rather than simply replicate a legacy design., • A proven track record of delivering production data pipelines into live environments., • Comfortable operating as a technical lead while remaining hands-on with the build — owning delivery without stepping away from the code., • Able to work independently and make confident decisions within a fast-moving programme., • Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders. Desirable Experience • Experience with WhereScape RED and SQL Server, particularly the ability to pick apart and reverse-engineer an existing legacy ETL setup. This is genuinely a nice-to-have rather than a requirement — a capable engineer can pick up the legacy tooling on the job, so strong core engineering skills matter more., • Experience working within insurance or other regulated environments. This is beneficial but not essential — strong engineering capability is the priority., • Familiarity with cloud data platform programmes and large-scale migration or decommissioning delivery., • Exposure to data governance, security, or compliance considerations within a regulated setting. Engagement Details • IR35 status: Outside IR35, • Working pattern: Predominantly remote with occasional on-site presence as required by the programme, • Contract length: Initial contract with strong extension potential, dependent on programme progress and performance, • Availability: Candidates who can start early July are strongly preferred This opportunity is ideal for a senior data engineer or technical lead who enjoys owning delivery, solving real engineering problems, and seeing a workstream through from design to a robust, operational outcome. If you take pride in building solutions and want the autonomy to do it well within a high-impact programme, this role is for you. To be considered, please click apply now.

🔐 Senior Security Software Engineer (C++ / Rust) 📍 United Kingdom (Remote) | South East England (Hybrid an option) We're supporting a highly technical product engineering team developing advanced software analysis capability across binaries, firmware, embedded software, and complex compiled environments. This is a hands-on engineering role for someone who enjoys working close to the software layer, investigating difficult technical problems, and building tooling that helps understand how software really works. The team are particularly interested in engineers with backgrounds in reverse engineering, security research, systems programming, firmware, embedded software, software analysis, or low-level security engineering. Importantly, this is not a SOC, threat hunting, GRC, compliance, governance, DevSecOps, or operational security role. Instead, it's a deeply technical software engineering position focused on low-level software analysis, security tooling, and product development. 🧠 What You'll Be Working On • Analysing compiled applications, binaries, firmware, and embedded software environments, • Building analysis tooling, automation frameworks, and backend services, • Developing parsers, analysis engines, heuristics, and software inspection capability, • Investigating software behaviour, dependencies, and composition from compiled artefacts, • Applying reverse engineering and low-level debugging techniques to solve complex technical challenges, • Contributing to the design and implementation of scalable product capability, • Working closely with software engineers and technical specialists to shape future product direction 🛠️ Ideal Background We're interested in engineers who can demonstrate experience in some combination of: • Security software engineering, • Reverse engineering, • Security research, • Vulnerability research, • Firmware engineering, • Embedded systems, • Systems programming, • Low-level software development, • Software analysis tooling, • Binary inspection or analysis, • Security tooling development Technical experience may include: • Rust, C++, or C, • Linux and systems-level development, • Reverse engineering tools such as IDA, Ghidra, Binary Ninja, or similar, • Firmware, embedded software, or low-level debugging, • Parser development, analysis tooling, or backend services You do not need experience across every area above. Strong software engineering fundamentals combined with relevant low-level or security-focused experience are likely to be of interest. 🎯 What We're Looking For • Strong commercial software engineering experience, • Excellent problem-solving and debugging capability, • Ability to work on unfamiliar technical challenges and develop practical solutions, • Interest in software internals, compiled software, firmware, or systems-level technology, • Experience delivering maintainable, production-quality software 📩 Interested? If you enjoy reverse engineering, security research, firmware, systems programming, software analysis, or building tooling that solves difficult technical problems, we'd be keen to hear from you.

• Senior Infrastructure Engineer, • Contract Length: 11 months, • Working Pattern: Hybrid (2 days per week in the office), Newcastle, • £600 per day Inside IR35, • Security Clearance: Active SC Clearance required Our client is seeking an experienced Senior Infrastructure Engineer to join their team on a large-scale enterprise network and cloud-integrated infrastructure modernisation programme. As a Senior Infrastructure Engineer, you will be a hands-on specialist, playing a key role in both the design and delivery of robust, scalable network solutions. You will be instrumental in driving long-term platform improvements while supporting critical business services. Key responsibilities: • Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments, • Build and maintain secure hybrid connectivity across Azure, AWS, and OCI, • Develop and maintain network automation using Python, Ansible, and Infrastructure as Code, • Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction, • Implement and manage Palo Alto firewall policies across on-premise and cloud environments, aligned to Zero Trust principles Essential Skills • Active Security Clearance (SC) – must have, • Strong experience in enterprise networking engineering, • Proven network automation experience using Python, Ansible, or similar tooling, • Hands-on cloud experience with at least one provider (Azure, AWS, or OCI), • Demonstrable track record as a Network / Infrastructure Engineer within large-scale enterprise environments

🔐 Senior Systems Security Engineer – Low-Level Software Analysis 📍 Location: South East England / Fully Remote Considered We’re supporting a specialist product engineering team developing advanced software analysis technology for complex compiled environments. This is a hands-on engineering role for someone who enjoys working close to the software layer, solving difficult technical problems, and building tooling that can turn complex technical signals into reliable product capability. The role would suit someone with a background in systems programming, software analysis tooling, binary inspection, firmware analysis, or low-level engineering. You’ll be working on technology designed to inspect and understand compiled applications, embedded software, and complex software artefacts where conventional metadata may be limited, incomplete, or difficult to rely on. This is an engineering-led role centred around low-level software analysis and tooling development, not a malware detection, SOC, threat hunting, compliance, or operational security position. 🧠 What You’ll Be Working On • Developing tooling to inspect compiled software artefacts and extract meaningful technical signals, • Building maintainable parsers, analysis engines, backend services, and automation frameworks, • Working on software composition visibility, dependency discovery, and analysis of complex software artefacts, • Investigating difficult technical problems and turning successful approaches into reliable product features, • Working with low-level debugging techniques, systems concepts, and software analysis workflows, • Collaborating closely with engineering and research teams to shape technical direction and implementation quality, • Contributing to technical standards, engineering best practice, and long-term product capability 🛠️ Ideal Background • Strong systems programming experience using Rust, C, or C++, • Experience working on low-level software, systems tooling, binary inspection, firmware analysis, static analysis, or software composition tooling, • Good understanding of compiled software behaviour and systems-level engineering concepts, • Experience developing maintainable, production-quality software, • Strong debugging, analytical thinking, and technical problem-solving skills, • Able to investigate unfamiliar technical problems and turn ideas into practical engineering solutions 📩 Interested? If you enjoy deep technical engineering, systems tooling, low-level software analysis, or building software that can understand complex compiled environments, I’d be keen to get your thoughts.

The Role The Voice AI Technical Lead is the senior engineering voice on our Voice AI programme – hands-on, opinionated, and deep in the code. You'll lead the engineering team that builds our voice agents, set the technical direction for how we build them, and raise the bar on engineering craft so the team can size features accurately and ship them faster. You'll write code, review code, prototype new capabilities, and establish the patterns, frameworks and best practice that every future voice journey is built on. This is a role for a senior engineer who wants to lead from the front, not from a slide deck.. Your responsibilities: Lead the Voice AI engineering team as a hands-on technical lead. Setting direction, reviewing designs and code, pairing with engineers, and writing production code yourself.  Drive accurate sizing and estimation by establishing the engineering building blocks, reference implementations and reusable components that let the team break new features down into well-understood units of work.  Raise the engineering bar across the team – introduce and enforce best practice for prompt engineering, evals, regression testing, latency budgeting, observability, CI/CD and release management for LLM-driven systems – through code review, pairing, internal guilds, brown-bags and written playbooks.  Build the evaluation and test harness that every voice agent is measured against – automated scenario coverage, regression suites, latency and load testing, live call replay – so we know objectively whether each release is better than the last.  Integrate voice agents cleanly with our contact-centre platform, CRM, billing, knowledge and identity systems, and design the handoff patterns that let us escalate to a human agent with full context.  Partner with Data Security, InfoSec and our governance forums to streamline the engineering path to production – resolving incident runbooks, ownership models and PEN test blockers – and shorten our cycle time for every future release.  Confirm and communicate the capability ceiling of our current stack, identify where different tooling is needed, and feed this back into the roadmap so we scope future packages based on engineering reality. Your Profile Essential skills/knowledge/experience: 15 years of domain experience and 5-6 years Voice AI / IVA / voice  Proven track record of delivering Voice AI / IVA / voice bot solutions into production at meaningful scale – not PoCs or demos, but real services handling real customer calls.  Strong hands-on technical background, comfortable reviewing architectures, reading code, challenging latency budgets and prototyping when needed.  Direct experience with LLM-based voice platforms such as Amazon Nova Sonic, ElevenLabs, OpenAI Realtime, Google Gemini Live or equivalents, and a clear view on the tradeoffs between them.  Experience integrating conversational AI with contact-centre infrastructure – IVR, CTI, telephony, CRM, billing and knowledge systems – and delivering clean, context-aware handoffs to human agents.

Lead Data Engineer - Outside £600p/d | 3-6 month | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Remote UK based G.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to help kick off a build of a brand-new Data Engineering function from the ground up. This isn’t your standard contract its a leadership role so definitely won’t suit everyone... 👀 🔥 Initially, you’ll be hands-on delivering a critical Data Engineering project expected to run for the first 3–6 months 🔥 From there, you’ll have the autonomy to define what the Data Engineering capability looks like moving forward, tooling, architecture, strategy and team build included 🔥 Huge opportunity to genuinely influence engineering direction within a scaling business What they’re looking for 👇 😍 Strong hands-on Data Engineering experience across Python, Spark, SQL and PySpark 😍 Experience working with hyperscaler cloud platforms such as AWS, Azure or GCP 😍 Exposure to modern tooling including Databricks, Microsoft Fabric and PowerBI 😍 Previous experience building, leading or mentoring Data Engineering teams What’s in it for you? 👇 📍 Day Rate £600p/d | Outside ir35 📍 Remote - Must be UK based 📍 Opportunity to kick off a greenfield build Interested? Drop me a message or email: 📩 p.rainford@g-digital.co.uk #DataEngineering #LeadDataEngineer #HealthTech #Databricks #AWS #Azure #Python #Spark #Hiring

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, • Collaborate closely with analytics, product and engineering teams to enable better decision making Your Skills and Experience • 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, • A software engineering mindset, including Git, testing and CI/CD workflows What They Offer • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale How to Apply 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.

About the Company - Emirates Engineering is currently seeking experienced Licensed Aircraft Engineers to join our team in Dubai. If you're looking for an exciting opportunity in a dynamic environment, this could be the perfect fit for you. About the Role - As a Licensed Aircraft Engineer at Emirates Engineering, you will be responsible for carrying out routine maintenance tasks and defect rectification of aircraft in accordance with company and regulatory procedures. Key responsibilities include conducting aircraft maintenance and servicing tasks, ensuring compliance with safety and manufacturer procedures, and maintaining effective communication with colleagues and supervisors. Responsibilities - • Perform aircraft maintenance and servicing tasks according to manufacturer and safety procedures., • Ensure assigned zones/aircraft are maintained as per the latest revisions of approved technical publications., • Handle off-aircraft tasks such as spares handling and documentation in compliance with company procedures., • Determine and use appropriate tooling/equipment for tasks, ensuring cost-effective and efficient troubleshooting., • Carry out component changes as necessary, following AMM, IPC, or manufacturer documentation., • Adhere to safety rules and regulations, maintain excellent housekeeping conditions, and report any deficiencies., • Communicate effectively with colleagues, managers, and senior engineers to highlight operational issues and ensure seamless information flow., • Complete detailed reports on service delays, incidents, and accidents to facilitate maintenance planning and improvement., • Manage staff performance through performance reviews, goal setting, and development plans., • Attend training modules as required to enhance skills and comply with CAR 145 requirements. Qualifications - Bachelor's degree or equivalent (apprenticeship) in Engineering. Minimum 5 years of experience in engineering as a certifying staff. About Emirates - At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. If you're looking for a challenging and rewarding opportunity in aircraft engineering, apply today for our Licensed Aircraft Engineer role! Please note: This position is based in Dubai, United Arab Emirates. Relocation assistance will be provided..

Contract Lead Full Stack Engineer (Python, Node, React) Rate: £500 - £550 per day (Inside IR35) Location: UK Remote Start: ASAP Duration: 3 to 6 months initially We’re supporting a growing technology consultancy delivering large-scale cloud and application modernisation programmes for enterprise clients who are now looking for a Lead Full Stack Engineer to join a transformation project with an existing customer. If you enjoy solving complex engineering challenges, working in a full stack capacity, this role will suit you perfectly. The Role As a Lead Full Stack Engineer, you’ll join the consultancy’s technical delivery team, working directly with end clients to stabilise, refactor and modernise critical applications. This is a hands-on position involving full stack development, architecture decisions and more. What We're Looking For Essential: ✔ Strong experience with Python ✔ Strong experience with NodeJS / ReactJS ✔ Docker and containerised workloads ✔ CI/CD tooling: GitHub Actions, Jenkins ✔ Cloud experience either Azure, AWS or GCP ✔ Infrastructure as Code (Terraform, CloudFormation) ✔ Strong debugging and problem-solving skills Nice to have: • Consultancy or client-facing delivery experience, • Background in application remediation or cloud modernisation, • Understanding of cloud networking, security and observability Why Join This Consultancy? • Work on high-impact engineering challenges, • Join a supportive community of senior engineers and cloud specialists, • Help shape technical direction and influence client outcomes, • Be part of a pragmatic, delivery-focused environment

Senior CI/CD Software / Platform Engineer (Highly Specialised Role) Fully Remote (UK Only) This is not a typical DevOps or Software Engineering role. We are looking for a true CI/CD specialist, someone who has built enterprise-scale delivery platforms from scratch, not just maintained or configured pipelines. The Opportunity You’ll be joining a high-performing engineering team responsible for global-scale delivery pipelines for a major enterprise programme. The focus is on: • Designing and building CI/CD platforms used across multiple teams globally, • Creating reusable, standardised pipeline frameworks, • Embedding security, governance, and best practices directly into delivery workflows, • Enabling engineering teams to self-serve high-quality pipelines at scale This is platform engineering for CI/CD, not general DevOps. What We’re Actually Looking For You must have hands-on experience in: • Building CI/CD platforms from scratch (not just contributing to existing ones), • Deep expertise with GitHub Actions, including:, • Custom actions (ideally in TypeScript), • Reusable workflows, • Organisation-wide pipeline frameworks, • Designing developer tooling and self-service platforms, • Implementing secure-by-default pipelines (OIDC, secrets management, permissions), • Standardising CI/CD across multiple teams / repos / business units What Doesn’t Fit This role is not suitable if your experience is primarily: • Full-stack or backend engineering with “some CI/CD”, • Basic pipeline setup (e.g. Jenkins jobs, simple GitHub workflows), • DevOps focused on infrastructure rather than developer experience + delivery platforms Tech Environment • GitHub Actions (core platform), • TypeScript / Node.js, • Cloud: Azure / GCP, • Infrastructure as Code (Terraform / CDK), • Kubernetes / containerised environments Why This Role? • Work on enterprise-scale engineering problems, • Build platforms used by hundreds of engineers globally, • Influence how software is delivered at scale, not just contribute to it, • Join a consultancy focused on high-impact, outcome-driven engineering Why Apply? If you’re someone who: • Gets frustrated by poorly designed pipelines, • Enjoys building systems that other engineers rely on daily, • Wants to own and shape how software is delivered at scale This is one of those rare roles where your work directly impacts how an entire organisation engineers and ships software. If this sounds like you, please apply online and have a short summary of the CI/CD platform/s you’ve built from scratch (what you designed, who used it, and the scale).

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!

About Princeton Biopartners Princeton Biopartners is a best-in-class strategy consulting and AI software firm serving the global life sciences sector. We partner with Fortune 500 biopharmaceutical companies on high-impact strategic initiatives, combining advisory expertise with proprietary software solutions to improve the evidence base, accessibility, and impact of biomedical innovations. We’re a tech and AI-first firm, and AI fluency is expected in how we build, operate, and deliver. Princeton Biopartners was recently recognized with the “Evidence Generation Software of the Year 2026” award by Life Sciences Review for our innovation in AI-enabled evidence generation and planning solutions. Learn more about our culture here: https://www.youtube.com/watch?v=zhTrmcIc-WE&t=2s The Role We are hiring a full-time Full Stack Software Engineer to help build the next generation of AI-enabled software products supporting evidence generation, medical strategy, and pharmaceutical decision-making. This is a high-ownership role within a fast-growing entrepreneurial company operating at the intersection of strategy consulting, healthcare, and AI. You will work directly with senior leadership, engineers, consultants, and pharmaceutical stakeholders to shape and build products used by leading global biopharma organizations. Our engineers are not siloed away from the business. They operate close to strategic problems, influence product direction, and contribute directly to systems that support real-world healthcare decision-making. Your work will be visible from day one, and you’ll have significant influence over the products, workflows, and infrastructure we build. We look for engineers who are genuinely self-directed, highly accountable, and energized by solving problems without waiting for instructions. You’ll grow faster here than you would in a traditional large-company environment, but we also operate with a very high performance bar and expect exceptional attention to detail and ownership. What We’re Looking For • UK-based (mandatory, remote role), • Minimum 1 year of full-time experience in a software engineering, startup, or technology role required, • Degree in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related STEM discipline from a top-tier institution such as Oxford, Cambridge, Imperial, or an Ivy League university, • AI-native and fluent in modern AI-assisted software development workflows, • Exceptional ownership mentality with strong accountability and follow-through, • Highly proactive self-starter capable of operating autonomously in a fast-paced environment, • Comfortable operating in ambiguity and translating loosely defined problems into pragmatic technical solutions, • Strong product intuition and ability to balance speed, quality, and practicality, • High attention to detail and commitment to delivering polished, production-quality work, • Strong communication skills and ability to collaborate directly with senior stakeholders Key Responsibilities • Design and build modern full stack applications supporting AI-enabled healthcare and evidence-generation workflows, • Develop scalable frontend and backend systems using modern frameworks and cloud infrastructure, • Leverage AI tools and copilots to accelerate development speed, testing, debugging, and prototyping, • Collaborate closely with consultants and leadership to rapidly translate business problems into software solutions, • Help shape the architecture, tooling, workflows, and engineering standards underpinning our AI platform, • Contribute to product direction, feature prioritization, and user experience decisions, • Build internal tools, dashboards, automation systems, and client-facing applications, • Maintain clear technical documentation and structured engineering practices Technical Skills • Strong experience with modern web technologies (React, TypeScript, Node.js, Next.js, APIs, CSS frameworks), • Proficiency in Python strongly preferred, • Solid understanding of software engineering fundamentals, architecture, data structures, and system design, • Experience using GitHub, CI/CD workflows, and cloud infrastructure, • Familiarity with Azure is a plus, • Bonus: experience with AI tooling, LLM integrations, vector databases, data engineering, or healthcare/life sciences data What We Offer • Significant ownership and autonomy from day one, • Opportunity to shape the direction of products deployed within leading global biopharma organizations, • Direct exposure to senior pharmaceutical, consulting, and technology leadership, • Fast career progression within a high-growth AI and strategy firm, • Flexible remote working environment, • Access to premium London workspaces and members clubs, • Competitive compensation, commensurate with experience, • Opportunity to become an early core team member helping shape the future of the business Equal Opportunity Princeton Biopartners is committed to building a diverse and inclusive team. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy or related conditions), sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.

Location: London (hybrid) Level: Director Reporting to: VP of Engineering The company This is a well-funded, fast-growing B2B SaaS company that's become one of the most talked-about in its space. They've hit unicorn status and are now in the middle of a significant scaling phase — the engineering org is ~50 people today and is expected to grow to 150+ over the next 12 months. The product is used by some of the world's fastest-growing companies. The team is distributed across the UK and Europe, with a strong technical bar and a no-nonsense engineering culture. People here came from Google, Meta, Vercel, and high-growth scaleups. The VP of Engineering spent 9+ years at Google managing infrastructure teams at significant scale before joining at an early stage. This is not a corporate environment. Founders are hands-on, technical, and have high standards. The people who thrive here have opinions, make decisions, and lead from the front. The role You'll be joining as one of two Engineering Directors, sitting between the VP of Engineering and a layer of engineering managers who each lead autonomous product squads. You'll own a significant portion of the engineering organisation and be accountable for how it performs, scales, and grows. This is a player-coach role in the truest sense of leadership — not hands-on coding, but close enough to the technical work that you can hold your own in a systems design conversation, challenge architectural decisions, and earn the respect of strong engineers. What you'll be doing: • Managing a set of engineering managers and senior ICs, acting as their line manager, coach, and technical sounding board, • Owning the health and output of multiple product squads — delivery, quality, morale, and hiring, • Partnering with the VP of Engineering on org design, technical strategy, and how engineering scales from here, • Driving hiring across your org — you'll be building something meaningful over the next 12 months, • Feeding into cross-functional decisions alongside product, design, and go-to-market leadership, • Being the person who makes the call when things are ambiguous, moves fast when speed matters, and is comfortable having hard conversations What we're looking for Must-haves: • Experience managing engineering managers (not just individual contributors) — you've operated a layer of abstraction above the squads, • A background that combines time at a well-engineered large company and time at a high-growth B2B SaaS scaleup — you understand both how great engineering is built and what it takes to ship fast with limited resources, • The technical depth to do a credible systems design conversation — you don't need to write production code but you need to understand the tradeoffs engineers are making, • Experience in the 50–200 engineer range — you've either been through a scaling journey like this or are close enough to it that you understand what breaks and why, • Comfortable with ambiguity, fast-changing priorities, and a culture where the people above you are also deeply capable Strong signals: • B2B SaaS domain experience — RevOps, developer tooling, or anything close to the product surface, • You've hired well at pace — you know what great looks like and you can move quickly to close, • You've let people go when it was the right thing to do, • You've worked in a distributed team and made it work, • You're the kind of person who's done their research before walking into a room Not a fit if: • You're looking for a quiet, process-heavy environment, • Your default mode is "let me set up a committee", • You describe your leadership style primarily as "servant leader" and leave it there, • You haven't been close to the technical work in several years The interview process • Track record conversation (45 min, remote), • Incident response / technical leadership (45 min, remote), • Onsite in London — systems design, leadership, and founder interviews (full day) The onsite includes a lunch checkpoint. If it's not working for either side, we stop there. Compensation Competitive base salary, meaningful equity, and benefits. Range discussed on first conversation.

Who are we, and what do we do? We are PropertyBox, the UK’s leading visual content partner for estate agents. We help estate agents transform the way properties are presented and sold by offering premium photography, floor plans, drone & aerial imagery, virtual tours, video trailers, and other visual content services. PropertyBox is an all-in-one, AI-powered property marketing platform, designed to make property marketing faster, more effective and more beautiful. It enables estate agents to enhance their listing content through tools like photo enhancements, AI-generated property descriptions, social media campaign creation, easy floor plans, and ordering EPCs, all in one place. Powerful property marketing. It’s in the box. The job The Lead QA Engineer plays a key role in ensuring the quality, reliability and readiness of all software changes before release to customers. This is a predominantly hands-on role, with most of your time spent actively testing, investigating issues and improving quality practices, while also leading a small team of QA Engineers. You will help shape the QA approach across the engineering function, provide day-to-day guidance and coaching to the team, and ensure quality ownership is embedded throughout the software delivery lifecycle. What you’ll be doing Reporting to the Engineering Manager, you’ll be involved in: • Leading by example as a senior, hands-on QA Engineer, carrying out functional, regression, integration and exploratory testing across software changes developed by the engineering team, • Providing day-to-day leadership, mentoring and support for a team of QA Engineers, helping them prioritise work, develop their skills and continuously improve, • Owning test planning and execution for key releases and initiatives, ensuring appropriate coverage and a pragmatic approach to risk, • Working closely with software engineers, product managers and other stakeholders to clarify requirements, identify quality risks early and define effective test scenarios, • Reviewing test cases, test evidence and defect reporting to ensure consistency, completeness and clear communication across the QA team, • Coordinating testing activity across multiple work streams and release cycles to support timely, high-quality delivery, • Managing defect triage, prioritisation, retesting and root cause feedback in partnership with the engineering team, • Producing clear QA updates, test status reporting and release readiness input for stakeholders, • Driving improvements in QA processes, standards and tooling to increase efficiency, coverage and confidence, • Supporting the growth of test automation by identifying opportunities across front-end, back-end and API testing to complement manual testing and reduce repetitive effort, • Ensuring issues are documented clearly, lessons learned are fed back into future delivery, and quality remains a shared responsibility across the team, • Promoting a culture of ownership, continuous improvement and high engineering standards across QA and the wider technology function Who we’re looking for • Strong background in software quality assurance and testing within a modern software delivery environment, • Proven hands-on experience across functional, regression, integration and exploratory testing, • Experience leading, mentoring or coaching QA Engineers, with the confidence to provide direction and support to a small team, • Hands-on knowledge of test planning, test case design, defect management and release support, • Good understanding of web, mobile app and API testing approaches, with the ability to assess risk across different product areas, • Experience collaborating closely with software engineers, product managers and business stakeholders to improve quality throughout delivery, • Ability to introduce pragmatic QA processes that balance speed, risk and quality in a fast-moving environment, • Familiarity with test management and defect tracking tools, and an interest in improving QA tooling, reporting and ways of working, • Understanding of test automation principles and where automation can add value alongside manual testing, • Strong analytical and problem-solving skills with a proactive, ownership-driven approach, • Able to communicate quality risks, test results and priorities clearly to both technical and non-technical audiences, • Passion for product quality, continuous improvement and helping others raise the bar Qualities • Detail-oriented and quality-focused in all aspects of work, • Hands-on, pragmatic and comfortable leading from the front, • Supportive leader who enjoys coaching others and building strong working relationships across teams, • Calm, organised and able to manage competing priorities effectively Where will you be based? We are a remote-first business and across the Technology and Product teams we operate a flexible working policy with up to 1 day a week in our East Croydon shared office space thought this is flexible. What’s in it for you? At PropertyBox we believe in our journey and our way of working reflects an ‘all together’ approach to solving problems, working together and shared vision. Alongside this we also offer all our colleagues: • Flexible remote-first home-working, • 25 days annual leave, plus bank holidays, plus your birthday, • Flexibility to buy and sell additional days, • Up to 6% company contributed pension, • Private healthcare, • Life assurance Please note due to the volume of applications received, it may not be possible to respond to every application. Right to Work Requirement: Applicants must have an existing, permanent right to work in the UK. We are unable to offer visa sponsorship for this role.

Software Engineer - EV / Clean Energy SaaS Remote, UK (must have full right to work in the UK, no sponsorship required) Salary: £50,000 - 65,000 Above & Beyond is partnering with an award-winning B2B, SaaS company, innovating in the energy transition sector for a cleaner, more sustainable future. They are also at an exciting inflection point with AI. They are embedding intelligent automation into their product to give customers a smarter, faster and more intuitive experience. And are equally invested in how AI changes the way they build software. Their engineers work with modern AI tooling day-to-day, and they're actively exploring agentic workflows, MCP-based integrations and LLM-powered features as a core part of where the platform is going. If you're excited about shaping what "AI-native" actually looks like in a real product, you'll find plenty of room to do that in this role. They are collaboration focused, with a determination and passion for technology, their people and the environment and we are looking for a Software Engineer to join them, to support the continued improvement and scalability of their platform. What you’ll be doing As a Software Engineer, you’ll work within the development team, contributing to the design and implementation of new features for their serverless platform. You’ll have the opportunity to work with a modern tech stack, focusing on scalable, high-quality code that meets their customers’ evolving needs. You will also be: • Developing new backend and frontend features in a serverless environment using Node.js, TypeScript, AWS Lambda, and Angular, • Maintaining and improving existing code to enhance performance, scalability, and reliability, • Collaborating with cross-functional teams to align development work with business goals and deliver effective solutions, • Writing testable, reusable, and efficient code while following best practices in development, • Participating in code reviews to ensure quality and share knowledge with the team, • Helping to design and deploy AI-powered capabilities into the product, • Making the most of modern AI development tooling (e.g. Claude Code, in-IDE assistants) to move faster without compromising on quality, and helping shape how they use them as a team What we need from you • Bachelor’s Degree in Computer Science, Software Engineering, or a related field, • 2+ years of software development experience with Node.js, TypeScript, or similar languages, • Familiarity with AWS or other cloud services and serverless frameworks, • Experience with JavaScript frameworks such as Angular or React, • A collaborative approach and good problem-solving skills, • A focus on delivering high-quality, scalable code, • Genuine curiosity about how AI and LLMs are changing software and an interest in applying that in a real product, not just experimenting on the side Nice to have • Hands-on experience with AI coding assistants (Claude Code, Cursor, Copilot or similar) as part of your day-to-day workflow, • Exposure to LLM integration patterns: prompt design, tool/function calling, RAG, vector stores, or agentic orchestration

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Ensure solutions align with Ema's agentic architecture and platform capabilities Hands-On Engineering • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments Feasibility Judgment & Agentic Workflow Translation • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Anticipate where AI implementations break: integrations, data quality, scale, edge cases Customer Leadership (Post-Sales) • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Communicate progress, risks, and decisions clearly across technical and executive audiences Production Readiness & Stabilization • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Stabilize systems post go-live under real pressure Cross-Functional Collaboration • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Staff Fullstack Engineer - Remote (UK) We’re partnered with a fast-growing, product-led technology company looking to hire a Staff Fullstack Engineer to help drive the evolution of a modern web platform used at significant scale. This is a high-impact senior IC position focused on architecture, technical direction, and building high-quality products across both frontend and backend systems. You’ll work closely with engineering leadership and product teams to shape technical decisions, improve platform scalability, and mentor engineers across the organisation. The environment suits someone who enjoys solving complex technical problems while still remaining hands-on with code. The Role You’ll operate as a senior technical leader within the engineering organisation, contributing across architecture, product development, system design, and engineering best practices. The role is heavily focused on building and improving modern web applications and services, with a strong emphasis on product thinking, performance, maintainability, and developer experience. You’ll be involved in: • Designing and building scalable fullstack applications, • Driving architectural decisions across frontend and backend systems, • Improving engineering standards, tooling, and development practices, • Collaborating closely with Product, Design, and Engineering teams, • Mentoring and supporting other engineers, • Helping shape long-term technical strategy while remaining hands-on Tech Stack • Frontend: Svelte, React, • Backend: Node.js, • Modern JavaScript / TypeScript ecosystem, • API-driven architecture, • Cloud-native development practices What They’re Looking For: • Strong experience as a Senior, Staff, or Principal-level Fullstack Engineer, • Deep frontend engineering experience with modern frameworks such as React and/or Svelte, • Strong backend development experience with Node.js, • Experience designing scalable, maintainable systems and architectures, • Ability to operate with a high degree of ownership and autonomy, • Strong communication and collaboration skills, • Product-minded approach to engineering Why Join? • Fully remote within the UK, • High-impact engineering role with genuine influence on technical direction, • Strong engineering culture with modern tooling and practices, • Opportunity to work on complex product and platform challenges, • Fast-moving, collaborative environment with significant ownership If you’d be interested in learning more, feel free to apply or reach out directly for a confidential conversation.

STAFF DEVSECOPS ENGINEER Location: Remote | Type: Contract About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIO Review. As a remote-first company, we foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives. Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize. Your Mission Newpage is hiring a Staff DevSecOps Engineer to lead the security engineering posture of a strategic engagement with a global top-tier pharmaceutical company. As the technical anchor for the account, you will define how secure software is built, shipped, and operated across the client's cloud estate — spanning AWS, Azure, and GCP workloads — from research and clinical data platforms through to commercial and supply-chain systems. The client's strategic direction leans on AWS, and depth there is a meaningful advantage. You will partner closely with the client's CISO organization, cloud platform team, application teams, and quality and compliance functions to embed security as code into every pipeline. This is a hands-on principal-level role for someone who thrives at the intersection of cloud-native engineering, regulatory rigor, and developer experience. What You’ll Do Set DevSecOps Strategy & Standards • Define and own the DevSecOps reference architecture across the client's cloud estate — landing zones, account/subscription vending, identity, secrets, network segmentation, and workload isolation patterns — applied consistently whether on AWS (preferred), Azure, or GCP., • Set the multi-year roadmap for shift-left security, supply-chain integrity, runtime protection, and continuous compliance evidence collection across regulated and non-regulated workloads., • Act as the senior technical voice in client steering committees, security architecture reviews, and audit readiness sessions; translate regulatory intent into engineering requirements that teams can implement., • Mentor and coach Newpage and client engineers; raise the bar on secure coding, threat modeling, and incident response across the account. Engineer Security Into the Cloud Estate • Design and operate hardened, multi-account or multi-subscription landing zones — AWS Control Tower / Organizations / SCPs / Identity Center (preferred), Azure Landing Zones / Management Groups / Policy, or GCP Organization Policy / Folders — with guardrails enforced as code., • Build paved-road CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Azure DevOps, or Jenkins) with integrated SAST, DAST, SCA, secrets scanning, IaC scanning, container scanning, and SBOM generation., • Implement policy-as-code using OPA/Rego, Checkov, and cloud-native equivalents (AWS Config Rules / CloudFormation Guard, Azure Policy, GCP Organization Policy); enforce at pull-request time and in production., • Operationalize cloud-native security services end-to-end — AWS GuardDuty / Security Hub / Macie / Inspector / IAM Access Analyzer / KMS / Secrets Manager / WAF (primary), with working knowledge of Microsoft Defender for Cloud / Sentinel and GCP Security Command Center., • Lead Kubernetes and container security across managed offerings (EKS preferred; AKS, GKE accepted), including admission control, image signing (Sigstore/Cosign), runtime threat detection (Falco or equivalent), and Pod Security Standards enforcement., • Drive supply-chain security to SLSA-aligned maturity: signed builds, attested artifacts, dependency provenance, and verified deploys. Own Regulated & Pharma-Specific Controls • Engineer controls that satisfy GxP, 21 CFR Part 11, Annex 11, HIPAA, GDPR, and the client's global information security standards — without slowing delivery teams down., • Design continuous compliance evidence pipelines that auto-generate audit artifacts for FDA, EMA, and internal QA inspections, replacing manual screenshotting and ticket-based attestations., • Partner with Computer System Validation (CSV) and Computer Software Assurance (CSA) teams to align DevSecOps tooling with validated-state expectations for clinical, manufacturing, and pharmacovigilance systems., • Champion data protection for sensitive scientific IP, clinical trial data, and patient-adjacent datasets — tokenization, encryption strategy, and least-privilege access across cloud data services (e.g., S3 / Redshift / RDS / Lake Formation on AWS, or equivalents on Azure and GCP). Drive Detection, Response & Resilience • Engineer detection-as-code and response automation in collaboration with the client SOC; tune findings, suppress noise, and ensure every signal is actionable., • Run blameless postmortems for security incidents and near-misses; convert lessons into durable engineering improvements., • Establish security SLOs and meaningful metrics — mean time to remediate, control coverage, drift, and developer-impacting friction. Influence Across Client and Practice • Build trust with the client's senior security, platform, and quality leadership; become the person they call before launching a new initiative., • Contribute to Newpage's internal DevSecOps practice: reusable accelerators, case studies, hiring loops, and the next generation of senior engineers across the company. What You Bring • 8+ years of professional experience in security engineering, platform engineering, or SRE, with at least 4 years leading DevSecOps initiatives at scale., • Deep, current expertise with at least one major public cloud at production scale — AWS is strongly preferred (you have personally designed and operated multi-account environments with 50+ accounts); Azure or GCP at equivalent depth will be considered., • Working familiarity with at least one additional cloud beyond your primary — enough to design controls that translate cleanly across providers., • Strong hands-on coding skills in at least one of Python, Go, or TypeScript, and fluency in infrastructure-as-code with Terraform (cloud-agnostic mastery preferred; CDK, Bicep, or Pulumi also welcome)., • Demonstrable experience embedding security into CI/CD pipelines and developer workflows for engineering organizations of 200+ developers., • Working knowledge of Kubernetes security on at least one managed offering (EKS preferred; AKS or GKE accepted) — including network policy, admission control, and supply-chain controls., • Track record of operating in a regulated industry — pharma, healthcare, financial services, or critical infrastructure — and translating compliance frameworks into engineering controls., • Excellent written and verbal communication skills; comfortable presenting to a client CISO one day and pairing with a junior engineer the next., • Nice to have Direct experience with pharma or life-sciences workloads: GxP, 21 CFR Part 11, Annex 11, CSV/CSA, pharmacovigilance systems, or clinical data platforms., • Nice to have Exposure to threat modeling frameworks (STRIDE, PASTA), MITRE ATT&CK, and threat-informed defense., • Nice to have Experience with policy-as-code (OPA/Rego, Cedar) and continuous compliance platforms (Wiz, Prisma Cloud, Orca, Drata, Vanta) at enterprise scale., • Nice to have Hands-on with secret management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager) and zero-trust networking patterns., • Nice to have Relevant certifications such as AWS Security Specialty (preferred), Azure Security Engineer Associate, Google Professional Cloud Security Engineer, CISSP, CCSP, OSCP, or GIAC GCSA — credentials are a signal, not a substitute for evidence., • Nice to have Familiarity with AI/ML pipeline security and the emerging risks around generative AI in regulated environments. What We Offer At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer: • Flexible, remote-first work – Choose where you work best while staying connected to a global, collaborative team., • A people-first culture – Supportive peers, open communication, and a strong sense of belonging., • Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges., • Balance that lasts – We respect your time and support a healthy integration of work and life., • Room to grow – Opportunities for learning, leadership, and career development, shaped around you., • Meaningful rewards – Competitive compensation that recognizes both contribution and potential. Ready to Apply? Let’s build the future of health together. Apply below or reach out to Bhavik.rathod@newpage.io with any questions.

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

Senior Software Engineer Snyk | Intelligence (Remote, UK) About Snyk Snyk is a leader in secure, AI-powered software development, enabling millions of developers to build quickly while staying secure. Our AI-native Developer Security Platform integrates seamlessly into development workflows, helping teams find, fix, and prevent vulnerabilities across code, dependencies, containers, and cloud environments. Our mission is simple: empower developers to innovate securely in the AI era — increasing productivity while reducing risk. We operate with a strong set of values — One Team, Care Deeply, Customer Centric, and Forward Thinking — which shape how we build, collaborate, and stay ahead in a rapidly evolving landscape. Why this role? You’ll join a forward-thinking, AI-native team building a next-generation intelligence platform that protects customers in real time. This role sits at the heart of Snyk’s security capabilities — from advancing malware scanning to dramatically reducing intelligence delivery times from hours to minutes. Your work will directly impact how quickly and effectively customers can detect and respond to threats. If you’re excited about building scalable, foundational infrastructure and want to play a key role in securing open-source ecosystems and software supply chains, this is a rare opportunity to shape the future of developer security. What you’ll do • Design, build, and deliver high-quality, well-tested solutions to complex technical problems, • Own projects end-to-end — from ideation through to production and iteration, • Scale and harden distributed systems to meet growing demand and evolving use cases, • Contribute to operational excellence across reliability, performance, and observability, • Mentor and support engineers, helping to grow technical capability within the team, • Evolve the SDLC towards AI-assisted — and ultimately AI-orchestrated — development What you bring • A collaborative mindset — you enjoy solving problems with others and value diverse perspectives, • Strong ownership — you can lead projects from concept to production with confidence, • A pragmatic approach to problem-solving, including debugging both technical and organisational challenges, • A growth mindset — open to feedback and committed to continuous improvement, • Strong team orientation — you understand that success is shared, • A solid foundation in software engineering principles and best practices Nice to have • Experience with event-driven architectures and distributed systems, • Familiarity with AI-native development workflows and tooling, • Exposure to security products and an understanding of customer pain points in this space

Background: Agilio Software Group is a leading UK healthcare operations software provider, delivering integrated, mission critical solutions that support primary care, dental, pharmacy, hospital, and veterinary organisations. We have ambitious and exciting growth plans and are looking for talented individuals to be part of our journey. iLearn is our learning and compliance platform, supporting healthcare organisations to meet regulatory requirements, maintain workforce competence, and deliver high quality patient care. The role: As a Lead Software Engineer, you will drive technical direction and product delivery for the iLearn platform - coming in with energy, opinions, and the ability to move fast. You'll lead a cross-functional engineering team, shape our AI strategy, and work closely with Product to define what we build next. You'll combine hands-on technical expertise with people leadership, designing and building scalable, secure, cloud-based solutions that directly support our business objectives. AI is a central theme for us right now. You'll play a leading role in identifying, shaping, and delivering AI-powered features within iLearn, and using AI tooling to accelerate how the team builds and ships software day to day - all working closely with Product to turn emerging capabilities into real user value. Key Responsibilities: • Lead a cross-functional engineering team delivering features and improvements for iLearn - driving pace, quality, and technical direction from design through to deployment and support., • Provide line management and pastoral care for a small team of software engineers, supporting performance, wellbeing, and professional development., • Take technical ownership of the design, development, and maintenance of full stack applications and services underpinning iLearn., • Partner closely with Product to shape the roadmap - contributing technical insight early, challenging assumptions, and ensuring AI and engineering capabilities inform what gets built., • Lead the evaluation, prototyping, and responsible integration of AI and machine learning capabilities into iLearn, including LLM-based features, intelligent automation, and data-driven tooling., • Contribute to planning, estimation, scheduling, and resourcing, helping to deliver work predictably and efficiently., • Communicate technical designs, risks, and progress clearly to senior stakeholders and non technical audiences., • Apply a deep understanding of modern software design patterns and engineering best practices, ensuring solutions are scalable, maintainable, and fit for purpose., • Champion and implement automated testing across functional, acceptance, performance, and security domains to ensure quality is built in from the outset., • Work closely with platform, product, and operations teams to ensure systems are observable, resilient, operationally sound, and secure., • Design and develop cloud deployable services, continuously improving application architecture and infrastructure where appropriate., • Act as a technical authority, leading design discussions, reviewing and approving code, and diagnosing and resolving complex issues., • Build, maintain, and improve CI/CD pipelines to support reliable, automated deployment of products and services., • Promote a strong engineering culture, encouraging best practice, collaboration, and continuous improvement across the team., • Share knowledge and emerging technical insights - particularly around AI developments - with the wider engineering community and mentor junior engineers to support their growth., • Support the growth of the team by participating in recruitment and onboarding of new engineers., • Maintain clear and appropriate technical documentation to support long term maintainability and knowledge sharing. Essential • Minimum of 5 years’ experience in software engineering, • Strong experience as a Senior or Lead Full Stack Software Engineer, • Proven experience leading engineers and delivering software end to end, • A track record of driving delivery with urgency — not just maintaining, but pushing teams and products forward, • Demonstrable experience working closely with Product — influencing roadmap, shaping requirements, and bridging technical and commercial priorities, • Hands-on experience with AI/ML integration — whether LLM APIs, prompt engineering, RAG architectures, or embedding AI tooling into production software, • Deep understanding of modern software design patterns and best practices, • Hands on experience with cloud based architectures and services, • Strong knowledge of CI/CD pipelines and automated deployments, • Experience building scalable, resilient, secure, and observable systems, • Commitment to code quality, maintainability, and testing, • Confident code reviewer and technical decision maker, • Ability to mentor engineers and support their development, • Strong communication skills with technical and non technical stakeholders Agilio operates in regulated, mission critical healthcare environments. You’ll need: • The ability to translate complex business domains into technical solutions, • Awareness of security, resilience, and operational risk, • A mindset focused on reliability and quality, not just feature delivery, • An understanding of how to deploy AI responsibly in regulated, patient-facing contexts Additional Information Job type: The role is remote with occasional travel to one of our offices on an ad-hoc basis. Salary: Competitive + generous benefits Income Protection Life Assurance Enhanced pension Health Cash plan 28 days annual leave + bank holidays Sick pay scheme A range of flexible benefits available through our Agilio Flex portal If you feel you have what it takes to join our team, we look forward to receiving your application!

Why we're hiring AMPD is shipping at speed (~800 commits / month, 13 PRs merged today alone) on a small team currently drive all engineering decisions, with Claude Code agents drafting and reviewing PRs in worktrees. We need a senior engineer who can plug into this workflow on day one, not someone who needs to learn agentic tooling from scratch. How we actually work (read this first, it's the most important section) We are an agent-augmented team. Engineering is a human + Claude Code partnership, not a human-only job. Specifically: • Telegram is the ops surface. The AMPD OPS group chat is where bugs are reported, audits are run, deploys are announced, and decisions get made. - Claude Code reads/writes Telegram via plugin. You'll be expected to participate in this channel, directing agents, reviewing screenshots from CEO, and dispatching fixes., • Claude Code (or equivalent agentic CLI) is your IDE. Most non-trivial work runs through worktree-isolated background agents. You scope an issue, dispatch an agent in an isolated git worktree, the agent drafts a PR, you (or Claude Code itself, under merge- authority gates) review and ship. We have 31+ active worktree agents in the repo at any time, managing parallelism without stepping on each other is a core skill. Skills + plugins: • We use Claude Code skills (e.g. /triage-labels, /grill-with-docs) and MCP plugins (Telegram, GitHub). You should know how to author and consume them., • GitOps everywhere. Push to main → CI builds → ArgoCD auto-promotes through dev → stage → prod (Hetzner k3s, prod is ampdaxo.com). Manual prod intervention should be rare. No-synthetics rule. AMPD's core promise: real data or empty state, never fabricated. If you write a heuristic fallback, it must be removed before shipping. Surgical-edits rule. No speculative abstractions, no opportunistic refactors. Touch only what the task requires. The codebase you'll work in: Backend: Express.js + TypeScript strict, ~140 source files, 65 services, 13 route files, ~1930 Jest tests. Prisma + PostgreSQL (16 models, all CUID, cascade-on-delete). 6 LLM providers (OpenAI, Anthropic, Perplexity, Gemini, Groq, OpenRouter) wired through provider adapters with caching and rate-limiting. Frontend: Next.js 14 App Router + TypeScript strict, ~313 source files, NextAuth v4 (JWT), Playwright E2E, vitest unit. Tailwind + shadcn/ui. Infra: k3s on Hetzner, ArgoCD, GitHub Actions (build-only, local pre-push hook runs lint/build/test), Sentry, Airwallex billing. Velocity: ~800 commits / 30 days. Small team, high cadence. Architecture details: docs/ARCHITECTURE.md. Agent workflow: docs/agents/. Domain ADRs: docs/adr/. What you'll own: • GEO/AEO scoring engine. AMPD's three proprietary metrics (CPS, CFI, SAV) plus E-E-A-T, Topic Authority, Semantic Relevance, Content Freshness analysers. You'll improve and extend these., • AI provider integrations. Adding new platforms, tightening prompts, managing rate limits and Groq credits., • Audit pipeline. End-to-end from POST /api/scoring through provider calls → metric derivation → AnalysisDerivedMetrics row → dashboard render. Real production data, real money on the line., • Trust + transparency. When the dashboard shows a number, that number must be defensible. You'll audit your own work the way the CEo audits ours. What we need from you: Required: • 5+ years backend or full-stack TypeScript / Node.js shipping production systems., • Demonstrated agentic coding experience in Claude Code, Cursor, Aider, or similar. "I've used Copilot" is not the same thing. We want examples of you running multi-agent workflows, dispatching parallel work, managing worktrees / branches, reviewing agent- produced PRs., • Comfort with prompt engineering as a first-class skill, you should be able to debug an LLM's output the way you debug code., • Real Postgres / Prisma experience (we have schema migrations going to prod weekly)., • Git fluency including worktrees, rebase, conflict resolution under pressure., • Excellent written communication, you'll spend significant time directing agents and writing issues. Vague prompts produce vague PRs. Strongly preferred: • Experience with Next.js 14 App Router + NextAuth., • Working knowledge of LLM API mechanics (token economics, streaming, context windows, retry strategies). • E2E testing with Playwright., • GitOps / ArgoCD operations experience., • Domain interest in GEO/AEO ("how do brands win on ChatGPT/Claude/Perplexity/Gemini?"), this is the entire premise of AMPD. How you'll be evaluated: 1. Async take-home (paid): dispatch Claude Code (or your tool of choice) to fix a real open issue from the public repo's queue, draft the PR, and walk us through your reasoning + agent-management decisions. Quality of your prompts and reviews matters as much as the diff. 1. Pair session over Telegram: CEO and CTO hand you a screenshot of a dashboard anomaly. You scope the issue, dispatch an agent, narrate decisions, review the result., 2. Reference + judgement check. Two prior engineering managers or peers. Working arrangement: Remote, async-first. Telegram + GitHub for sync; deep work on your own clock. Compensation: competitive senior engineer salary or day rate, equity discussion for permanent. Send your range. Location: Anywhere in the world but need to be available for UK core work day hours, strongly preferred for overlap with CEO and CTO. How to apply: Email hello@ampdaxo.com with: 1. A short note on your most interesting agent-driven engineering project., 2. A link to a PR you shipped end-to-end with significant agent involvement, with commentary. 1. Your range and earliest start date. We read everything. Bots / form letters skip to the bin. 1. Your CV.

Firmware / FPGA Engineer (OpenCPI Focus) Location: United Kingdom Company: Akkodis Reporting to: Practice Lead Akkodis is a global leader in engineering, technology, and R&D, enabling digital transformation through connected data and advanced engineering expertise. Operating across 30 countries with over 50,000 engineers and digital specialists, we deliver innovative solutions across mobility, software, robotics, simulation, cybersecurity, AI, and data analytics. We are currently seeking a Firmware / FPGA Engineer to join our UK engineering team, supporting the delivery of advanced FPGA-based and software-defined systems for defence and mission-critical applications. This role has a strong focus on OpenCPI-based system development and integration, alongside traditional FPGA and digital design responsibilities. Role Overview You will contribute to the design, development, integration, and verification of FPGA and SoC-based systems within a structured engineering environment. A key aspect of this role is working with OpenCPI (Open Component Portability Infrastructure) to support modular, reusable, and high-performance digital system architectures. You will work closely with systems engineers, embedded software teams, and hardware designers to deliver robust and scalable digital solutions. Key Responsibilities • Deliver firmware and FPGA projects to agreed time, cost, and quality targets, with a strong emphasis on reuse and modular design principles, • Develop and verify RTL designs, including architecture, implementation, simulation, and hardware integration, • Support system-level integration using OpenCPI frameworks and component-based architectures, • Contribute to requirements analysis, design documentation, verification plans, and certification artefacts, • Collaborate across systems, hardware, embedded software, and algorithm teams, • Support process improvement, automation, scripting, and tooling enhancements, • Ensure compliance with relevant safety, security, and quality standards including DO-254, IEC 61508, IEC 62443, and ISO 26262 where applicable Required Experience • Strong experience in RTL design for FPGA-based digital systems using VHDL, • Experience with Xilinx (AMD), Lattice, or similar FPGA/SoC architectures, • Demonstrable experience working with or integrating systems using OpenCPI (or equivalent component-based FPGA middleware frameworks), • FPGA implementation of algorithms developed in MATLAB/Simulink (algorithm development not required), • Strong verification experience using OSVVM, UVVM, or UVM methodologies, • Familiarity with high-speed interfaces such as AXI, PCIe, Ethernet, JESD204, CameraLink, SMPTE, Wishbone, or OCP, • Experience with FPGA development tools such as Vivado, ModelSim, Diamond, Radiant, Vitis, or Propel, • Scripting ability using TCL or similar languages, • Working knowledge of DO-254 development processes, • Experience working within Integrated Project Teams (IPTs) in defence or regulated environments is highly desirable Required Skills • Strong communication skills with the ability to work across multi-disciplinary engineering teams, • Ability to take ownership of technical work packages, • Team leadership or technical leadership experience within small engineering teams is advantageous Education • Degree in Electrical & Electronic Engineering or a closely related discipline

Our client is a fast-growing, venture-backed technology company transforming a large, complex industry through artificial intelligence and modern data infrastructure. We’re building AI-powered products that combine advanced automation with human expertise to improve operational workflows, reduce friction, and create better customer experiences at scale. As an early-stage team, we’re focused on solving meaningful challenges using modern technology and creating a culture where ownership, innovation, and impact matter. We’re looking for a Data Engineer to build and scale the data foundations that power our platform, customer experience, analytics, and AI systems. *Fully Remote - Salary Dependant on Experience (£80,000-£120,000) The Role: As a Data Engineer, you'll design and operate the infrastructure that moves, transforms, and structures data across our systems. You'll work across ingestion pipelines, transformation layers, monitoring, customer onboarding, and analytics while partnering closely with product, engineering, and AI teams. This is a hands-on role with meaningful ownership and the opportunity to influence how data architecture evolves as the business scales. Responsibilities: • Design and build reliable end-to-end data pipelines connecting customer systems, internal platforms, and AI-generated outputs, • Create and maintain transformation layers that convert raw data into trusted, documented datasets, • Develop dashboards and analytics solutions for both internal teams and customer-facing insights, • Implement monitoring, alerting, and data quality checks to proactively identify issues, • Lead customer data onboarding by mapping datasets and building scalable integration processes, • Improve performance and optimize warehouse costs as data volumes grow, • Collaborate with backend, AI, and product teams to align operational and analytical systems, • Establish best practices for data modeling, testing, documentation, schema management, and code review, • Support and improve AI-driven workflows and data capabilitie Requirements: • 5+ years of experience in data engineering within production environments, • Strong Python and SQL skills, • Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar, • Hands-on experience with transformation frameworks such as dbt or Spark, • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, • Strong understanding of data modeling principles across analytical and operational systems, • Experience with monitoring and data quality tooling, • Familiarity with CI/CD practices and testing for data workflows, • Comfortable working with emerging technologies, including AI-assisted development tools What We Offer: • Flexible working arrangements, • Competitive compensation and potential equity participation, • Modern tools and equipment, • Opportunities for rapid growth and meaningful impact, • Collaborative and highly talented team environment

Platform / Software Engineer | £600 per day | Outside IR35 | Fully Remote A leading financial services institution is looking for a driven Platform / Software Engineer to join an established team supporting a major internal platform programme, integrating enterprise-grade security tooling across internal engineering pipelines and systems. This isn't a heads-down coding role. You'll be working closely across multiple product and engineering teams, which means strong communication and a consultative approach are just as important as your technical ability. Desired Skills: • Golang (or strong engineering background with willingness to learn), • GCP, AWS, Azure, • Kubernetes (cloud-native), Terraform This is a great opportunity for a Platform / Software Engineer who: • Has experience building and operating Kubernetes-based platforms to serve internal development teams, • Is comfortable integrating complex tooling into existing pipelines and engaging directly with stakeholder and product teams to solve their problems, • Is self-motivated, socially strong, and able to lead technical conversations with both engineers and non-technical audiences Unfortunately, due to the high volume of applications, not all submissions will receive feedback

Rust Engineer | Remote (Must be based in UK) £75,000 – £100,000 + Equity We're solving a problem most businesses have just accepted as normal. Spreadsheets are still how the vast majority of organisations model their finances, plan operations, and make decisions, they're fundamentally broken for anything complex. They don't scale, they break silently, and they're nearly impossible to maintain. We're building a low-code modelling engine that's powerful enough for real-world complexity but intuitive enough for non-developers to actually use. The company was founded by a serial entrepreneur with a strong track record in the enterprise planning space, so there's serious pedigree and conviction behind the vision. You'd be building the core modelling engine in Rust, a system that runs on both client and server, handles user-defined data structures, and needs to be low-latency and high-performance. We're working with multi-user distributed systems, and experience with CRDTs or similar consistency approaches is a real plus. Stack: Rust, AWS, Kubernetes, Terraform, with observability tooling and AI model integration. Day-to-day, you'd be working in short iterations of under four weeks, collaborating with Product to shape technical specifications, owning work end-to-end from development through to deployment, and getting direct exposure to real user problems. The team is small and fully remote, with in-person hackathon-style workshops in the UK a few times a year. Job includes an equity package, 5% matched pension, 30 days holiday + bank holidays, and full home working equipment. Part-time arrangements are open to discussion. Interested? Apply via this listing and we'll be in touch.

!! IMMEDIATE JOINERS !! Software Engineer Location : Bournemouth / Scotland / London Work mode : Onsite Experience: 2–5 years UK based candidates only CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Software Engineer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits]. #java #android #software #dotnet #c++ #c #immediatejoiner #softwaredevelop #developer

PLEASE NOTE that you must be SC Eligible and open to travel to Telford - 2 days min per month Are you passionate about SRE, observability, and driving operational excellence? We’re looking for a talented Observability Engineer to help us build and scale world-class monitoring solutions across complex technology landscapes. 🔍 About the Role As an Observability Engineer, you’ll play a critical role in ensuring system reliability, performance, and proactive incident management. You’ll work across teams to embed observability into the heart of our solutions, leveraging cutting-edge tooling such as Dynatrace. 💡 Key Responsibilities • Translate non-functional requirements (NFRs) into actionable monitoring configurations within Dynatrace, • Deliver full-stack observability solutions (APM, infrastructure, logs, synthetics, NPM), • Partner with architects and delivery teams to embed monitoring into solution design and testing, • Develop and maintain dashboards, alerts, and visualisations to enable proactive service management, • Drive continuous improvement initiatives, helping teams mature their observability practices ✅ What We’re Looking For • Strong experience in SRE principles and methodologies, • Proven expertise in Observability within complex, distributed environments, • Hands-on experience with Dynatrace (APM, monitoring, dashboards, alerting), • Knowledge of log management and synthetic monitoring, • Ability to troubleshoot complex technical issues and clearly document solutions, • Excellent stakeholder engagement and communication skills ⭐ Nice to Have • Dynatrace Associate Certification, • Experience working in large-scale enterprise or cloud environments 🌟 Why Join Us? • Work on high-impact, enterprise-scale systems, • Be part of a team driving modern SRE and observability practices, • Opportunity to shape and influence monitoring strategy and tooling adoption, • Collaborative, forward-thinking environment focused on innovation and growth 📩 Interested? Apply now or reach out directly to learn more.

Cue is a modern customer service chat software company. Our Live Chat, Chatbot and Broadcast products help businesses to provide customer support at scale across WhatsApp, Messenger, Web chat, email and Telegram. We are growing rapidly and are now expanding into the international market on our journey to become an international market leader. We're looking for deeply experienced engineers to join our team in a role that's genuinely new: designing and architecting backend systems, then directing AI agents to build them, and critically verifying the results. This isn't a traditional coding role. You'll spend your time understanding problems, designing solutions, writing specs, and working with AI tooling to bring those solutions to life — fast. The catch: you need the hard-won experience to know when the AI gets it wrong. That means you've built and operated real systems, dealt with real failures, and developed the instinct for what "right" looks like. What you'll do • Architect backend services and distributed systems from first principles, • Write clear design specs and technical proposals, • Use AI agents and tooling to accelerate implementation, • Review and verify AI-generated code and architecture with a critical eye, • Own systems end-to-end: from problem definition through production operation, • Collaborate with the team to evolve our engineering practices as AI tooling matures What you bring • Significant experience designing and operating microservices architectures in production, • Strong Linux, networking, and infrastructure fundamentals (SRE/platform background ideal), • Hands-on experience with containers, Kubernetes, CI/CD, and observability, • Fluency reading and writing code — you don't need to be the fastest coder, but you need to understand code deeply, • Active use of AI coding tools and LLM-based workflows, • The confidence and experience to challenge AI output when it doesn't meet the bar, • A track record of owning projects from conception through production, • A collaborative working style — you enjoy designing in the open, sharing early ideas, and building on other people's thinking, • Genuine curiosity — you explore problems because you want to understand them, not just close tickets Our stack You don't need to have used all of this, but this is the world you'll be working in — and the closer your experience, the better your instincts will serve you: • Infrastructure: AWS (multi-account), Terraform + Terragrunt, Atlantis for automated deployment, • Compute: EKS with Karpenter autoscaling, ECS Fargate, Lambda, • Messaging & streaming: Kafka (MSK), SQS (standard + FIFO) with dead letter queues, • Data: Aurora Serverless v2 (PostgreSQL), Elasticsearch, Redis (ElastiCache), InfluxDB, • Networking: Traefik ingress with NLBs, ExternalDNS, cert-manager, Route53, CloudFront, VPC peering, • Security: GuardDuty, Security Hub, Elasticsearch SIEM, CrowdSec WAF, Firezone (Zero Trust), • Observability: Grafana, CloudWatch, Fluent Bit, Goldilocks, • CI/CD: ArgoCD, GitHub Actions (OIDC), Atlantis What we value over credentials We don't care about your degree, which languages you've used, or whether you can invert a binary tree on a whiteboard. We care that you've built things that worked, fixed things that broke, and learned from both. This role is a great fit if you... • Have been the person responsible when production breaks at 3am, • Have strong opinions about system design, backed by experience, • Are excited about AI as a tool, but not naive about its limitations, • Want to spend more time thinking and designing, and less time in an IDE, • Take ownership instinctively — you don't wait to be told, • Have war stories from production Kubernetes — OOMKills, node scaling failures, networking mysteries, • Know what it feels like when a Kafka consumer falls behind or a dead letter queue starts filling up, • Have stared at a database failover and understood why connections didn't recover, • Have debugged a problem that started at the load balancer and ended at a misconfigured secret three layers deep, • Understand that the interesting failures always cross boundaries between systems, • Believe the best architecture comes from discussion, not isolation, • Enjoy pairing, whiteboarding, and poking holes in each other's designs — and having yours poked at in return, • Get energy from working with good people, not just from solving hard problems alone How we work We're a small team with high standards. Every engineer here carries real ownership — there's no hiding behind process, and no waiting for someone else to pick something up. We don't work long hours, but we work hard ones. When you're on, you're focused, making decisions, and shipping. We expect you to unblock yourself, ask for help when it's genuinely needed, and take responsibility for outcomes. We design together, review each other's work honestly, and assume good intent. If you're the type of engineer who thrives when surrounded by peers who challenge and support you in equal measure — and who does their best work when trusted with real responsibility — you'll fit right in. This isn't for everyone, and that's fine. If you want well-defined swim lanes and a ticket queue, we're not the right team. If you want ownership, pace, and the satisfaction of seeing your decisions running in production — we are.

Vulnerability Engineer – Offensive Security & Research Location: UK Remote Employment Type: Permanent About the Opportunity A rapidly growing, venture-backed cybersecurity company at the forefront of Pre-Emptive Exposure Management is expanding its global Offensive Security and Vulnerability Research function. This is an opportunity to join an elite team focused on discovering, validating, and operationalising high-impact vulnerabilities before threat actors can exploit them. The organisation combines advanced vulnerability research, offensive security engineering, AI-driven automation, and scalable detection tooling to secure enterprise environments worldwide. Role Overview As a Vulnerability Engineer, you will operate across the full offensive security lifecycle — from 0-day and n-day vulnerability research through to building automated tooling for exploit validation and detection engineering. This hybrid research and engineering role is ideal for someone passionate about reverse engineering, patch diffing, binary analysis, Python development, and the practical application of LLMs/AI in cybersecurity workflows. You will focus on identifying and automating the detection of critical vulnerabilities such as Remote Code Execution (RCE), privilege escalation, authentication bypasses, and other high-severity attack vectors across large-scale attack surfaces. Key Responsibilities • Conduct advanced vulnerability research across 0-day and n-day exposures, • Perform patch diffing, reverse engineering, and exploit analysis on source-available and binary-only targets, • Develop and maintain Python-based offensive security tooling, • Build automated workflows for exploit validation, vulnerability discovery, and detection signature generation, • Leverage AI/LLM-powered tooling to accelerate triage, code review, analysis, and research operations, • Research and validate high-impact vulnerabilities including RCE, deserialization flaws, authentication bypasses, and memory corruption issues, • Utilise industry-standard offensive tooling including Burp Suite, Ghidra, IDA Pro, debuggers, and fuzzers, • Collaborate with offensive security and engineering teams to improve detection and remediation capabilities, • Present original research findings to the global cybersecurity community at leading conferences and industry events Required Skills & Experience • 2+ years of hands-on experience in vulnerability research, exploit analysis, or offensive security engineering, • Strong understanding of n-day reproduction, patch diffing, and vulnerability validation, • Experience with reverse engineering, binary analysis, and debugging techniques, • Solid programming and software engineering skills with a strong focus on Python, • Practical knowledge of web and binary exploitation techniques, • Hands-on experience with tools such as Burp Suite, Ghidra, IDA Pro, fuzzers, and debuggers, • Understanding of common vulnerability classes including RCE, SSRF, deserialization, authentication bypass, and memory corruption, • Exposure to AI/LLM applications in cybersecurity, automation, or code analysis, • Ability to thrive in a fast-paced, high-growth, startup environment with strong ownership and execution mindset Desirable Experience • Experience developing offensive security automation platforms, • Knowledge of exploit development and detection engineering, • Familiarity with cloud, enterprise, or large-scale attack surfaces, • Contributions to the cybersecurity community through research, blogs, tooling, or conference presentations Vulnerability Research, Offensive Security, Exploit Development, Reverse Engineering, Patch Diffing, Python, Ghidra, IDA Pro, Burp Suite, Binary Analysis, Detection Engineering, AI Security, LLM Security, Fuzzing, Red Team, Application Security, Threat Research, RCE, Security Automation, Cybersecurity Engineering

Senior Fullstack Engineer (frontend leaning) | £85k - £95k | Remote 🚀 We’re partnering with a fast-growing future-of-work platform that’s reshaping how leading brands hire and manage freelance talent globally. Backed by an experienced leadership team from some of Europe’s most successful scale-ups, they’re now looking for a Senior Fullstack Engineer (frontend leaning) to help scale a product used by thousands of freelancers and businesses worldwide. ✨ The Role You’ll join a highly collaborative product engineering team, owning features end-to-end across a modern TS, React + Python stack while helping shape the future of the platform. • Build and ship user-facing features across frontend and backend systems, • Help evolve and maintain a scalable design system and component library, • Drive performance, quality, and developer experience across the product, • Collaborate closely with Product and Design from early discovery through delivery, • Work with modern AI-assisted engineering workflows and tooling 🎨 What They’re Looking For • Strong experience with React and TypeScript in production environments, • Experience building scalable design systems or reusable component libraries, • Solid understanding of modern web architecture, browser behaviour, and performance, • Comfortable working across the stack, ideally with some Python/Django exposure, • Experience working in fast-moving product teams with strong ownership mentality ☀️ Salary, Location & Setup • Up to £85k - £90k+ base salary, • Very flexible hybrid working setup, • London-based team with occasional visits to the office, • Open to UK-friendly timezone remote candidates, • Strong benefits package including healthcare, pension, learning budget, and generous annual leave If you’d be interested in hearing more please apply with your CV!

About Hooper Media Hooper Media is a specialist B2B software company serving the entertainment and media finance market. Our platform helps customers manage complex finance processes across content, contracts, parties, calculations, reporting, and auditability. We are building modern, scalable software for a market that has historically relied on legacy systems and manual workflows. As we continue to grow, we are seeking a hands-on full-stack Software Engineer who can use AI development tools as a core part of their day-to-day workflow to increase the pace, quality, and reliability of product development. Role summary This role is for a practical, delivery-focused engineer who is comfortable working across Angular, .NET, SQL databases, and cloud-hosted environments, and who can use tools such as Claude, GitHub Copilot, ChatGPT, Cursor, or similar AI coding assistants to accelerate real product development. The successful candidate will help turn product requirements into production-quality software, using AI to speed up design, implementation, testing, refactoring, debugging, and documentation. Just as importantly, they will know how to validate, troubleshoot, and harden AI-generated code so that it is maintainable, secure, performant, and fit for a B2B production environment. Industry knowledge of media finance is helpful but not required. AI-enabled development experience, strong troubleshooting ability, and familiarity with our core technology stack are more important. Key responsibilities AI-augmented software delivery · Use AI coding assistants daily to accelerate feature development, refactoring, debugging, testing, documentation, and technical discovery. · Translate product requirements into clear technical plans, implementation steps, prompts, and reviewable code changes. · Review, test, and improve AI-generated code rather than accepting output uncritically. · Create repeatable AI-assisted engineering workflows that improve the productivity of a small engineering team. · Continuously evaluate relevant AI development tools and recommend practical adoption where they improve speed, quality, or maintainability. Full-stack product development · Design, develop, and maintain clean, efficient, reliable code across the application stack. · Contribute to front-end development using Angular, TypeScript, HTML, and CSS. · Contribute to back-end development using C#, ASP.NET, Entity Framework, and related .NET technologies. · Work with SQL databases, including Microsoft SQL Server and T-SQL, to support reliable application functionality, reporting, and performance. · Collaborate with product managers, designers, and engineers to convert business requirements into technical specifications and actionable delivery plans. Quality, troubleshooting, and production readiness · Write and maintain unit, integration, and end-to-end tests appropriate to the feature or defect being delivered. · Participate in code reviews with particular attention to maintainability, test coverage, security, performance, and the quality of AI-generated code. · Diagnose and resolve defects across front-end logic, APIs, database queries, integrations, deployments, and cloud infrastructure. · Identify and address performance bottlenecks, reliability issues, and technical debt. · Participate in CI/CD processes, deployments, and system monitoring in cloud environments such as Azure or AWS. Team contribution · Help establish team norms for safe, effective, and auditable use of AI in software development. · Share effective AI-assisted development techniques with other engineers. · Operate effectively in a small engineering team where engineers own features end to end and are expected to troubleshoot beyond narrow boundaries. · Proactively suggest improvements to our technology, processes, architecture, and product delivery practices. Required experience and skills · Strong hands-on experience using AI coding tools such as Claude, GitHub Copilot, ChatGPT, Cursor, or similar tools in real software development work. · Ability to review, debug, test, refactor, and improve AI-generated code. · Strong C# and ASP.NET development experience. · JavaScript or TypeScript experience, with the ability to work on modern front-end applications. · SQL database experience, ideally including Microsoft SQL Server and T-SQL. · Strong object-oriented programming fundamentals. · Strong debugging and troubleshooting skills across front-end, back-end, and database layers. · Ability to work from product requirements through implementation, testing, deployment, and support. · Comfortable working in a small, fast-moving B2B software team where practical delivery and ownership matter. Helpful experience · Angular. · Entity Framework. · Visual Studio and modern .NET development workflows. · Unit testing and integration testing. · Git and pull request based development. · Azure DevOps, CI/CD pipelines, cloud hosting, and PaaS services. · Azure, AWS, or similar cloud environments. · Agile development methodologies. · PostgreSQL or other relational databases. Nice to have, but not required · Experience in entertainment, media, royalties, residuals, participations, or finance-related software. · Experience with audit-heavy, calculation-heavy, workflow-heavy, or rules-based B2B software products. · Experience helping a team adopt new development practices or tooling.

DevSecOps Engineer – Software United Kingdom | Hybrid/Flexible Working DV or eDV Clearance Required We are seeking an experienced DevSecOps Engineer to join a high-performing technology team delivering secure, scalable, and high-impact software solutions within complex cloud and cyber environments. This role is ideal for someone who enjoys solving challenging technical problems, embedding security throughout the development lifecycle, and working collaboratively across engineering, delivery, and stakeholder teams. You will play a key role in designing, developing, and maintaining secure cloud-native solutions while helping drive DevSecOps best practices, automation, and continuous improvement across projects. The Role As a DevSecOps Engineer, you will contribute across the full software delivery lifecycle — from requirements gathering and architecture through to deployment, security, automation, and operational support. You will work closely with developers, architects, technical leads, and stakeholders to deliver secure, reliable, and innovative solutions aligned to business and operational objectives. Key Responsibilities • Design, build, and maintain secure, scalable software solutions and cloud environments, • Embed security best practices throughout the SDLC including automated security testing and compliance checks, • Contribute to CI/CD pipelines, deployment automation, and continuous testing processes, • Collaborate with cross-functional teams to refine requirements and shape technical solutions, • Support technical investigations, prototyping, and innovation initiatives, • Participate in architectural discussions and contribute to solution design decisions, • Help improve engineering processes, tooling, and automation practices, • Engage with stakeholders, including security and policy teams, to identify and mitigate delivery risks, • Provide mentorship, code reviews, and technical guidance to less experienced engineers, • Promote Agile delivery principles and foster a collaborative team culture Skills & Experience We are looking for candidates with experience across software engineering, cloud infrastructure, and DevSecOps practices, including expertise in at least three of the following areas: Software Development • Strong experience in one or more of:, • Java, • Spring Boot, • Python, • JavaScript / TypeScript, • ReactJS, • Understanding of SOLID principles and clean coding practices Cloud & Infrastructure • Experience with AWS or Azure cloud platforms, • Ability to configure, deploy, and secure cloud-native environments, • Understanding of modern infrastructure and security best practices DevSecOps & Automation • Experience with CI/CD pipelines and automation tooling, • Knowledge of security integration across the SDLC including:, • SAST, • DAST, • Continuous testing, • Experience using tools such as Jenkins or GitHub Actions Containerisation & Testing • Experience with Docker or similar containerisation technologies, • Experience with testing frameworks and BDD approaches including:, • Cypress, • Selenium, • Cucumber, • Behave, • Gherkin Agile & Collaboration • Experience working within Agile delivery environments such as Scrum or Kanban, • Strong stakeholder communication and collaboration skills, • Experience coaching or mentoring junior engineers

📍 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!