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Company Description Since 1985, PACE Anti-Piracy, Inc. has been a leading innovator in delivering robust protection products and flexible licensing solutions to software publishers worldwide. Headquartered in Silicon Valley, California, with global satellite offices, PACE supports thousands of developers globally and safeguards over 20,000 products from piracy. Trusted for its contributions to digital security, PACE manages over 200 million licenses for 10 million users. Notable brands under the PACE portfolio include iLok, JUCE, and Fusion. As the company expands into new markets, it remains dedicated to pioneering solutions in digital security. We are seeking a Software Engineer with deep experience designing, implementing, and maintaining CI/CD systems as well as partnering with the engineering and product team to ensure timely software releases. The ideal candidate has a proven history of supporting the release of commercial software products and is comfortable working across multiple operating systems and toolchains. The role will be working with an existing system and helping make it more reliable, maintainable, and scalable. You will play a key role in improving how our engineering teams build, test, and deliver software. This role will be based in Glasgow, Scotland, with flexibility for part-time remote work. Key Responsibilities • Take ownership of the software build and release process to implement best practices to ensure stable and timely delivery of software products., • Debug and stabilize build and release processes, • Update, modernize and scale a locally hosted, Jenkins based CI/CD system., • Support and optimize cross-platform builds (macOS, Windows, Linux), • Automate build, packaging, and release workflows, • Partner with engineering teams to improve developer experience and delivery speed Required Qualifications • Strong expertise integrating and supporting Jenkins CI/CD systems., • Strong experience with:, • Jenkins (creation, configuration, and management), • Python (automation, tooling, scripting), • CMake (build configuration and troubleshooting), • Ability to work proactively and autonomously in a fast-paced engineering environment. Preferred / Bonus Experience • Experience with macOS, Windows, and Linux build environments, • Experience with C/C++ build systems, • Experience with:, • Docker, • Ninja build system, • Conan (C/C++ package management), • Working knowledge of developer tools and IDEs:, • Xcode, Visual Studio 2022, VS Code, • Experience with installer and packaging tools:, • WiX Toolset (Windows), • macOS Packages, • Proven ability to work effectively with both local and remote teams What We Offer • Competitive salary and benefits package., • Hybrid work model., • Opportunity to contribute to the architecture and direction of core products., • A collaborative, engineering-led culture with meaningful autonomy. If you are passionate about building reliable software that ships to real customers — and you enjoy solving deep technical challenges across platforms — we’d love to hear from you.

Location: Glasgow Hybrid: 2 days per week in office Employment Type: Full-time Salary: up to £65.500 Gross Full right to work in the UK (no visa holders) as sponsorship is not provided. About the Role We are seeking a highly skilled Senior Java Engineer with over 7 years of experience to join our strategic global initiative focused on transforming the firm’s inventory management platforms. In this pivotal role, you will design and implement scalable, low-latency, high‑performance services that underpin critical functions including funding, liquidity, and regulatory reporting. You will contribute to the evolution of our microservices architecture, drive SAFE agile transformation, and support DevOps automation that enables real-time inventory visibility, reconciliation accuracy, and operational resilience. This is a unique opportunity to influence a key platform used across Markets, Treasury, Liquid Financing, Operations, and Regulatory Reporting. Key Responsibilities • Architect, design, and implement low-latency server-side applications using Java and Spring Boot., • Build solutions using event-driven microservices, REST APIs, and integration frameworks such as Apache Camel., • Develop scalable services supporting real-time inventory visibility and reconciliation., • Collaborate with global business and technology stakeholders to deliver commercially impactful solutions., • Contribute to DevOps automation, CI/CD pipelines, cloud-native optimisation, and SAFE agile processes., • Work closely with cross-functional teams across regions to support funding, liquidity, and regulatory use cases., • Ensure solutions meet high standards of performance, accuracy, completeness, and timeliness. What We’re Looking For Essential Experience • Extensive hands-on experience with Java, low-latency server-side engineering., • Experience with multithreaded engineering is a must and have to be stated in the CV, • Strong understanding of TDD and BDD principles., • Expertise building services using Spring Boot, event-driven architecture, REST APIs, and Apache Camel., • Strong PL/SQL skills across RDBMS platforms (Oracle, SQL Server) and exposure to NoSQL (MongoDB). Additional Skills (Nice to Have) • Familiarity with Kafka, Solace, or similar messaging technologies., • Exposure to cloud-native development: AWS, OpenShift, Kubernetes, Docker., • Understanding of inventory funding, securities lending, and settlement workflows., • Experience working in environments with strong focus on risk & controls and regulatory-driven outcomes. What We Value • Strong communication skills with the ability to partner across global teams and diverse stakeholders., • Proactive mindset with a passion for engineering excellence., • Ability to work in a fast-paced environment with complex business logic and high-impact outcomes. Why Join Us? • Work on strategic, business-critical platforms used globally., • Opportunity to shape engineering standards, architecture practices, and DevOps automation., • Collaborative culture spanning multiple regions and business lines., • Exposure to cutting-edge technologies within a modernized cloud and microservices environment., • 25 days holiday, • Pension - 10% of salary (can be taken as 5% and the other 5% taken as cash paid into salary), • Income protection - 50% of salary, • Life assurance - 8 times salary, • Private medical, • Bonus - discretionary & uncapped (figures cannot be quoted for this reason) APPLY HERE or recommend someone who might be a good fit for the role. We offer an attractive referral scheme for placements we make (Terms & Conditions apply). ___

Software Engineer Salary: circa £50k Location: Remote (UK-based with occasional team meetings) The Opportunity: Engineering for National Security Our client’s mission is to build and deliver secure, scalable collaboration solutions for the most security-conscious organisations in the UK. This is an environment where you can transform your individual talents into strengths within a creative, innovation-driven culture. Why This Role is Different This is not a place for rigid process followers. Our client actively embraces AI-augmented development, leveraging groundbreaking tools like Claude Code, GitHub Copilot, and Cursor to amplify engineering capabilities. You will be encouraged to use these tools effectively while maintaining strong engineering fundamentals and critical thinking. What You Will Be Doing • Design and Develop: Architect reliable and secure software systems using modern technologies like TypeScript, React, Next.js, Python, or Java., • Innovate with AI: Experiment with and evaluate new AI-powered development tools and practices, sharing those learnings with the wider team., • Collaborate Remotely: Engage with a distributed team through video, chat, and asynchronous documentation, valuing clarity and honesty in communication., • End-to-End Ownership: Take responsibility for software systems from initial conception and MVP through to live operation and decommissioning. What We Are Looking For • Technical Breadth: Experience with cloud platforms (AWS or GCP preferred) and containerisation tools such as Docker or Kubernetes., • Security Mindset: A security-conscious approach with an understanding of secure coding practices and how decisions impact security posture., • Professional Standards: A well-formatted CV that demonstrates your attention to detail and a career history focused on the IT sector., • Clearance Requirements: You must hold a British passport. While previous SC or DV clearance is a significant advantage, we simply need you to be clearable. Benefits and Culture • Flexible Working: A remote-first culture that has been distributed from the start, supporting different communication and collaboration preferences., • Continuous Learning: Dedicated time for experimentation, structured learning, and mentorship to help you master new approaches and technologies., • Inclusive Environment: A commitment to diverse thinking styles, offering reasonable accommodations throughout the application and employment process. If you’re a Software Engineer looking to do work with real impact, we’d love to tell you more. Click apply or reach out to for more information.

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).

Senior QA Engineer Location - UK South Becoming part of our team Own Quality. Enable Speed. Drive Better Engineering Practices. In the words of one of our senior clients recently… "Market Research has changed more in the last 3 years than the previous 40" We are looking for an experienced Senior QA Engineer to help strengthen quality across our products and platform while enabling faster and safer delivery. You will work within a Scrum team alongside developers, product owners and DevOps engineers, helping ensure quality is built into the development process rather than tested at the end. In our engineering model, developers own most automated testing, including unit, API, integration and performance tests. QA focuses on exploratory testing, risk analysis, end-to-end behaviour and ensuring the overall quality of our systems. This is a hands-on role for someone who enjoys working closely with developers and influencing how quality is approached within modern engineering teams. What you will be doing Working in a microservices-based .NET environment with CI/CD, you will help teams deliver software frequently and safely. Your responsibilities will include: • Working within Scrum teams to embed quality thinking early in the development lifecycle., • Supporting developers in building strong unit, API, integration and performance testing., • Promoting shift-left practices to detect issues earlier in development., • Performing exploratory, risk-based and end-to-end testing where automation alone is insufficient., • Identifying system risks, edge cases and integration issues early., • Contributing to improving test automation frameworks and CI/CD testing workflows., • Helping reduce flaky tests and improve confidence in automated pipelines., • Participating actively in refinement, planning and retrospectives, ensuring quality considerations are included. What success looks like Success in this role means teams are able to release software frequently and confidently, supported by reliable automation and strong engineering practices. You will help ensure that: • Developers take ownership of automated testing., • Defects are found early rather than late in the process., • QA effort focuses on risk and system behaviour, not repetitive manual testing., • Automated tests provide fast and trusted feedback in CI/CD pipelines. Quality discussions focus on risk, impact and outcomes, not simply test counts or pass rates. Technical background You should have experience working in Agile teams where quality is a shared engineering responsibility. We are particularly interested in candidates who understand shift-left testing and developer-led automation. Experience with the following is desirable: • Test automation in .NET / C# environments, • UI automation tools such as Selenium, • BDD frameworks such as Reqnroll, • Test frameworks such as NUnit, xUnit or MSTest, • API testing using REST, Postman or Swagger/OpenAPI, • CI/CD pipelines and automated testing workflows, • SQL and relational databases such as SQL Server or MySQL, • Cloud environments, ideally Microsoft Azure, • Microservices architectures Experience with Docker, contract testing, performance testing tools such as K6, or feature flag driven development would be beneficial. Collaboration and influence While this is not a people-management role, you will act as a senior quality voice within your team. You will: • Work closely with developers to improve testing practices., • Review and guide automated tests written by developers., • Share quality engineering practices with other QA engineers across teams. Why join us You’ll be joining a modern engineering environment built around CI/CD, microservices and cloud technologies, where quality is treated as an engineering responsibility rather than a final gate. This role offers the opportunity to work in teams where: • Developers actively participate in testing, • Automation is central to how we deliver software, • QA focuses on insight, risk and improving engineering practices If you enjoy working closely with developers, improving testing practices, and helping teams deliver high-quality software faster, this is a role where you can make a real impact.

A growing software business is hiring a Software Engineer to support continued growth and rising demand for its platform. Software Engineer Remote | Up to £60,000 | Java or Kotlin | Spring Boot This is a back-end focused role, ideal for an engineer who enjoys building reliable, scalable applications and wants to work on software used by well-known customers. You will be involved in the design, development and delivery of new features, as well as improving core products in a fast-moving environment. The role is fully remote, with the option to attend the Newbury office around once a month if desired. What you will be doing • Developing back-end applications using Java or Kotlin, • Building software with Spring Boot, • Designing and delivering new features, • Enhancing existing products and platform capability, • Working across the full software development lifecycle, • Supporting QA and UAT feedback through to release, • Collaborating with project, account and delivery teams to understand requirements and turn them into practical solutions, • Writing clean, maintainable, high-quality code What they are looking for • Strong commercial experience in software engineering, • Good hands-on experience with Java or Kotlin, • Strong experience with Spring Boot, • A back-end development background, • Experience building scalable systems in a modern development environment, • Strong problem-solving skills and attention to detail, • Ability to work independently in a remote setup Nice to have • Microservices experience, • Docker or Kubernetes, • RabbitMQ or other messaging tools, • MongoDB or other NoSQL database experience, • Experience in telecoms, billing or transaction-led systems Package • Up to £60,000, • Remote working, • Optional monthly office time in Newbury, • 24 days holiday plus birthday off, • Private medical, • Life assurance, • Critical illness cover, • Employee assistance programme, • Contributory pension Apply now or contact Chris Lynes at Spectrum IT Recruitment

Senior DevOps Engineer – Contract - Hybrid Avanti Recruitment is currently searching for a Senior DevOps Engineer to join a long-term programme focused on improving and scaling CI/CD, build systems, and engineering tooling within a complex environment involving embedded and hardware-integrated software. You’ll be working across build, test, and delivery pipelines supporting C/C++ based systems, helping ensure reliable integration, testing, and release processes. You’ll take ownership of pipelines and build infrastructure, working closely with development and QA teams to improve automation, performance, and overall delivery capability. Key Responsibilities * Own and improve CI/CD pipelines and build systems * Support integration, testing, and release processes * Work closely with engineering teams to resolve build and pipeline issues * Drive improvements in automation, reliability, and performance Technical Environment CI/CD: GitHub Actions or Jenkins Languages: C / C++ Cloud: AWS and/or Azure Containers: Docker / Podman Platforms: Linux This is a long-term contract with a strong roadmap, offering the opportunity to work on complex, real-world systems and play a key role in shaping engineering delivery. If you are interested then please apply online today...

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

The Role’s Purpose and Value: The Vice President / Senior Vice President of Software Engineering is responsible for defining, leading, and owning the engineering organisation that delivers Talogy’s product portfolio. This strategic role requires a leader who can build strong relationships across the organisation, collaborate effectively with senior stakeholders, and translate business priorities into a clear, scalable engineering strategy. The VP/SVP will shape Talogy’s engineering direction, partnering closely with the CTPO and business unit leads to identify, assess, and prioritise product initiatives. They will support sales and account management teams in client acquisition, retention, and growth by ensuring our technology capabilities meet evolving market needs. A key part of the role is leading and empowering the engineering organisation—ensuring teams are equipped, aligned, and enabled to deliver against the product roadmap. This role also plays a critical part in advancing Talogy’s use of AI, both in enhancing engineering productivity and in exploring how AI-driven capabilities can be responsibly incorporated into our products. This is a full-time, permanent position based in the UK or US, with flexible hours around core weekday availability. The role reports to Talogy’s Chief Technology & Product Officer (CTPO) and can be performed remotely, with occasional international travel for meetings, events, and workshops. Core Skills and Responsibilities: Technical Authority & Architecture Ownership: • Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated., • Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified., • Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture., • Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks., • Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment., • Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments. AI Strategy & Enablement: • Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments., • Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works., • Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance., • Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence. Team Leadership & Talent Development: • Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture., • Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers., • Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement., • Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning., • Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership. Cross-Functional Collaboration: • Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition., • Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business., • Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments., • Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs. Execution & Delivery Excellence: • Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management., • Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business., • Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products., • Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations., • Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery. Strategic Planning & Governance: • Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership., • Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition., • Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives., • Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation. Technical Expertise — Non-Negotiable: • 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company., • Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk., • Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk., • Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management., • Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates., • Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy’s multi-platform, acquisition-heavy environment., • Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001). Leadership & Organisational Experience: • Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment., • Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners., • Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling., • Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: • Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines., • Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications., • Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions. Operational Excellence & Strategic Execution: • Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes., • Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence., • Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements., • Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator.

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

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

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

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

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated Senior DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you! What You'll Be Doing: • Automating Machine Learning workflows (training → deployment) with AWS & GitOps, • Deploying LLMs using Kubernetes & Docker, • Building infrastructure with Terraform & Helm, • Monitoring and maintaining ML models with performance alerts and dashboards, • Supporting CI/CD for ML pipelines, • Developing production-grade APIs (REST/gRPC) to serve models, • Collaborating with engineers, data scientists & DevOps teams Your Experience: • Industry experience in DevOps or MLOps roles (ideally in AWS environments), • Hands-on with Docker, Kubernetes, and Terraform, • Strong scripting skills in Python or Bash, • Familiar with ML lifecycle tools, model monitoring, and versioning, • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: • Experience with observability frameworks like Prometheus or OpenTelemetry, • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace, • Exposure to Azure or GCP, • Passion for financial services Requirements: • Degree in Computer Science, Engineering, Data Science or similar What We Offer • 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're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

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

Senior Software Engineer – Backend (TypeScript / Node.js) 📍 Remote (UK) 💰 Circa £150,000 This opportunity is with a growing B2B technology company building backend-heavy products used by enterprise customers in a regulated space. The platform focuses on reliability, data correctness, and operational robustness. The business is continuing to scale its engineering function and is investing in strengthening the foundations of its backend systems as both the product and customer base grow. The Role: They’re looking for a Senior Backend Software Engineer to join one of their product engineering teams, with a focus on building and running services in TypeScript / Node.js. This is a hands-on role working on core backend services that underpin the product. You’ll take ownership of meaningful technical areas, contribute to architectural decisions, and help raise engineering standards as the team grows. What You’ll Be Doing: • Building and operating backend services in TypeScript / Node.js, • Owning services end-to-end, including production support, • Working with data-heavy systems where correctness and reliability matter, • Integrating with third-party APIs and external systems, • Improving performance, observability, and resilience, • Contributing to system design and architectural decisions, • Helping set and uphold engineering best practices, and acting as a senior presence in the team What They’re Looking For • Strong backend engineering experience with TypeScript / Node.js, • Experience working with modern backend frameworks and production databases, • Familiarity with cloud-native environments (AWS or similar), containers (Docker), and orchestration (e.g. Kubernetes), • Experience operating and improving production systems, not just building features, • A quality-focused mindset and a clear understanding of what “good” looks like in backend engineering, • Comfort working in complex, evolving systems with real-world reliability requirements Industry background isn’t the priority — they’re looking for solid senior backend engineers who care about building dependable systems. Why Consider It? • A chance to work on meaningful backend problems, • Exposure to complex data flows and reliability challenges at scale, • Real influence over how systems are built, operated, and improved, • An environment that values ownership, pragmatism, and engineering quality

You'll be a senior developer on our in-house travel management platform, working across the full stack — from React frontends to Node.js APIs and background processing services that handle live travel data. The platform spans Linux and Windows environments, including containerised services running on Docker. The role involves real-time problem diagnosis, complex data transformation across multiple databases, and a high degree of autonomy. You'll be expected to own technical decisions, independently investigate and resolve issues across the entire stack, and operate as a trusted point of escalation when things go wrong. This is a hands-on technical role with genuine responsibility. About Us: CTM is an award-winning provider of innovative and cost-effective travel management solutions to the corporate market. Our proven business strategy combines personalized service excellence with client-facing technology solutions to deliver a return on investment to our customers. Headquartered in Australia, we provide local services solutions to clients across the globe. Key Responsibilities: • Build and maintain features across React frontends and Node.js/NestJS APIs, • Develop and support background processing services that ingest and transform travel data from external systems, • Write and optimise complex SQL across PostgreSQL and MS SQL Server databases, • Investigate and resolve production issues end-to-end — from browser through API to database and background processors, • Drive forward platform modernisation initiatives as they are prioritised Skills & Experience : • 3+ years commercial experience with Node.js and TypeScript, • Strong SQL skills — complex queries, relational schemas, multi-database environments (PostgreSQL and/or MS SQL Server), • React (hooks, functional components), • Experience transforming and mapping complex data structures (XML, JSON), • Git — confident with branching, conflict resolution, • Familiarity with NestJS, tRPC, or similar API frameworks is a strong plus, • Experience with background processing patterns (queues, cron jobs, webhooks) is highly valued Join our crew and help CTM take flight. Apply now and pack your skills for a business travel journey that promises growth, discovery and plenty of first-class moments. What to expect from the recruitment process : • Every hire starts with a chat with our Talent Acquisition team, if your profile is selected you will be contacted by phone or email (please check your spam folder);, • Then, if you are progressing, the hiring manager will invite you to an interview, usually on Teams;, • If you are successful we will invite you to our office for a final stage interview. Wherever possible we will provide you with feedback, however we are a small team and often we won't be able to do so until after we fill the vacancy. CTM is a responsible employer and is dedicated to conduct thorough right to work checks in the interests of both parties, candidates and the company. Candidates selected and invited to an interview will be invited to a mandatory 15 min call with the TA lead to produce their RTW documents. This call is a mandatory step for all candidates regardless of their RTW status. This call is confidential and conducted by HR professionals only. CTM is an equal opportunity employer. We want to make sure our entire recruitment process is accessible to everyone. If you need accommodations at any stage of the application or interview process, please let us know: as a Disability Confident Employer, we’re here to support you in any way we can. Do not hesitate to connect with our Recruitment team if you need to discuss arrangements. Reward & Recognition Our learning platform CTM Learning, our annual conference the All Stars, our High-Performance programme and a global leadership programme. Employee Wellbeing and Flexibility Our wellbeing platform Vitality, our Employee Assistance Programme (EAP), our new private healthcare Medicash + our mental health first aiders. Most of our roles offer a hybrid working pattern, with 3 days per week in the office. Where permitted and depending on the role, we can offer flexible start and finish times to suit your other commitments and support a healthy work-life balance. We are committed to finding a setup that works for you and the business. Sustainability Focus Principles of Governance, People, Planet, and Prosperity, CTM’s Sustainability Strategy identifies material issues and outlines initiatives to achieve this. CTM is the Data Controller with respect to the personal information you provide during your application. We will use this information solely to process your application, and our legal basis is that you are considering taking up an employment contract with us. We may share this information with our parent company in Australia, but otherwise we will not disclose it to any other organisation. If you take up employment with us, we will keep the information for the duration of your employment, otherwise we will destroy it 2 months after the post is filled. All the information that we ask for in application forms has to be completed for your application to go ahead. There is no profiling or automated decision making applied to the personal information you supply. You have all the legal rights with your personal data as laid out in the General Data Processing Regulation (GDPR) and the Data Protection Act 2018, including the right to complain to the Information Commissioner’s Office. Our Data Protection Officer may be contacted at Please note that this role requires a security clearance process (you must have lived in the UK for 5 consecutive years to be eligible) and a DBS check. Do not apply if you are not willing to undergo these conditional background checks, this continually applies during the course of your employment. You can read about SC on the government site - ___

Computer Vision Engineer — Autonomy (Remote) We build retrofit autonomy modules for existing UAV fleets operating in GPS-denied environments. This is real-world deployment, not research or simulation. Constrained hardware, degraded comms, systems that have to work first time. Kessari is moving from TRL 6 to TRL 8 with active partners. We need someone to own perception through to targeting, end-to-end. What you’ll do • Build and deploy real-time detection and tracking pipelines on edge hardware, • Take models from training through optimisation into field deployment, • Work on low-latency systems running on constrained GPUs (Jetson class), • Handle messy real-world data (aerial, oblique, thermal, small objects), • Ship systems that run at 30+ FPS in production, • Work in GPS-denied conditions where localisation and perception must hold up under uncertainty You’re a fit if you can • Train and deploy object detection models (YOLO, RT-DETR or similar), • Optimise models for real-time edge inference (TensorRT, ONNX or similar), • Implement multi-object tracking (ByteTrack, BoT-SORT or similar), • Own the data pipeline (collection, annotation, validation), • Work across Python and some C++, Linux, Docker, • Strong bonus, • Experience in GPS-denied navigation or perception systems, • Drone or aerial imagery experience, • Thermal or infrared perception, • Visual SLAM or odometry integration, • CUDA or GPU optimisation, • Synthetic data or simulation What matters This is not a research role. You need to ship fast, handle ambiguity, and make systems work in the field. Comp €90k – €140k+ depending on level Equity and performance upside tied to deployments • DM directly to apply

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 10) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Job Title: Principal DevOps Engineer II Industry: FinTech / Payments Technology Location: United Kingdom (Fully Remote) Salary: Up to £125,000 base + 9% bonus Type: Permanent, Full-time A rapidly growing global payments technology organisation is looking for a Principal DevOps Engineer II to help define and scale its enterprise DevOps platform. This is a senior technical leadership role focused on architecting and evolving the engineering delivery platform that supports both cloud and on-premise environments. You’ll work closely with engineering leadership, security teams, and developers to design scalable CI/CD architecture, improve developer experience, and implement platform standards across the organisation. This role offers the opportunity to make a significant impact by driving automation, improving delivery performance, and shaping DevOps culture across a modern engineering environment. The Role: • Define and own the architecture of the organisation’s engineering delivery platform, covering CI/CD pipelines, artifact management, secrets management, and infrastructure provisioning., • Lead the migration and implementation of GitHub Enterprise and GitHub Actions, building reusable workflow frameworks and enforcing automated security and quality gates., • Architect and manage secrets and credential management strategies using HashiCorp Vault., • Develop and manage artifact repository strategies, including promotion pipelines, vulnerability scanning integration, and multi-language ecosystem support., • Drive Infrastructure as Code adoption using Terraform and configuration management through Ansible to enable fully automated environments., • Establish containerisation standards using Docker and Docker Compose to support consistent development and production environments., • Manage Cloudflare infrastructure including DNS lifecycle automation, WAF rules, and Zero Trust access policies., • Improve developer experience by building standardised pipeline frameworks that accelerate service delivery and reduce time-to-production., • Champion self-service and inner-source practices, creating shared tooling, documentation, and pipeline libraries for engineering teams., • Implement delivery metrics and dashboards to monitor deployment frequency, lead time for changes, and platform performance., • Provide technical leadership across engineering teams, identifying systemic delivery challenges and implementing scalable solutions., • Mentor senior engineers and contribute to raising DevOps standards through technical design reviews, documentation, and knowledge sharing. Skills Needed: • 12+ years of hands-on technical experience with strong foundations in software engineering and DevOps practices., • Proven experience delivering organisation-wide platform initiatives such as CI/CD architecture redesigns or DevOps platform migrations., • Strong coding ability in a statically typed language such as C# or Java., • Expert experience with GitHub and GitHub Actions including reusable workflows and automated pipeline frameworks., • Advanced Terraform expertise including module design, remote state management, and infrastructure policy enforcement., • Strong experience with configuration management tools such as Ansible., • Strong experience with HashiCorp Vault for secrets management and security integration., • Deep containerisation expertise using Docker and modern image optimisation practices., • Experience managing artifact repositories and CI/CD integration across multiple programming ecosystems., • Experience delivering infrastructure across cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and on-premise environments., • Strong understanding of DevOps security practices including SAST, dependency scanning, container security, and supply chain security., • Excellent communication and technical leadership skills. Benefits • Fully remote working (UK-based), • 5 days paid holiday plus bank holidays, • £5,000 annual certification and professional development budget, • £60 per month work-from-home allowance, • Private healthcare, • Additional benefits and performance-based incentives Research indicates that men will apply to a role when they meet only 50–60% of the requirements, while women and other underrepresented groups often look for a 90–100% match. If this role excites you but you don’t tick every single box, please still apply. We’d love to hear from you.

Reference Code: -en_GBContract Type: PermanentProfessional Communities: Software Engineering Job Title: AWS DevOps Engineer Location: Glasgow, Scotland About the Job you are considering: We are seeking experienced AWS DevOps Engineer with strong expertise in Banking domain who will overseeing the planning, execution, and successful delivery of projects Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • Design build and maintain AWS cloud infrastructure using best practices for security scalability and cost optimization, • Deploy and manage OpenShift clusters for container orchestration and application hosting, • Develop and maintain CICD pipelines using Jenkins GitLab CI or AWS CodePipeline, • Automate infrastructure provisioning and configuration using Terraform CloudFormation and Ansible, • Configure and manage AWS services including EC2 ECSEKS API Gateway Lambda MSK RDS Oracle preferred and Elastic Load Balancers, • Implement containerization strategies using Docker and KubernetesOpenShift, • Ensure compliance with cloud networking patterns VPC subnets peering firewalls and security best practices, • Monitor system performance troubleshoot issues and maintain high availability, • Collaborate with development teams to integrate DevOps practices into the software delivery lifecycle Your Skills: Essential Skills Basic Qualifications • 5 years of experience with containers Kubernetes and related technologies on cloud platforms AWS preferred, • 3 years of experience in setting up cloud infrastructure using AWS CloudFormation, • Strong experience with DevOps tooling Jenkins Bitbucket Nexus Git Jira, • Handson experience with AWS services API Gateway Lambda ECS EC2 MSK RDS, • Expertise in Linux administration and container orchestration Kubernetes ECS EKS and OpenShift, • Solid understanding of cloud networking VPC subnets peering firewalls, • 5 years of scripting experience PowerShell Perl Ruby Nodejs Python, • Proficient with Jira Jenkins BitbucketGitLab and Git workflows, • Experience in regulated environments banking financial services, • Handson experience with Docker and container orchestration platforms Amazon ECSEKS, • Kubernetes OpenShift, • Relevant AWS certifications Solutions Architect DevOps Engineer, • Familiarity with Helm charts OpenShift Operators and advanced CICD practices. We are a Disability Confident Employer: Capgemini is proud to be a ___

Key Responsibilities: * Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. * Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. * Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions. * Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment. * Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders. * Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery. * Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training. * Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment. * Manage and lead prototyping and research activity as required to realise the best solutions. * Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries. * Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks. * Author, review and contribute to technical documentation. * Produce High- and low-level design artifacts for data storage, processing, and retrieval systems. * Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies. * Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation. Who we are looking for: The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Essential Skills and Experience: * Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. * Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. * Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. * Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). * Experience with API management and gateway tools and services. * Experience of RESTful APIs for ingesting and exposing data. * Proven track record with data governance, quality, lineage, and security practices. * Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). * Experience in, or knowledge of, DevSecOps Tooling and Processes. * Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment. * Strong critical thinker with problem solving aptitude. * A working knowledge of MoD or Government IT Security environments and requirements at various classifications. Desirable Skills and Experience: * Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift). * Exposure to infrastructure-as-code tools (Terraform, CloudFormation). * Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). * Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. * Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP) JBRP1_UKTJ

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: • Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting, • Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software., • Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance., • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes JBRP1_UKTJ

Java Developer - Up to 60K + Bonus We're working with a global technology consultancy delivering secure, large-scale digital transformation programmes across multiple industries. Theyre looking for a Java Developer to join a growing engineering team building modern, cloud-based microservices platforms. This role is ideal for a developer who wants to level up technically, work alongside senior engineers and architects, and gain exposure to enterprise-scale systems. What Youll Be Doing: • Developing backend services using Java (JDK 11+) & Spring Boot, • Building scalable microservices & REST APIs, • Working in Agile Scrum teams, • Supporting cloud deployments (AWS environments), • Contributing to CI/CD and automated testing practices, • Collaborating with technical leads, testers and DevOps engineersWhat Theyre Looking For:, • 5+ years commercial Java development experience, • Strong Spring Boot knowledge, • Experience working in Agile environments, • Understanding of microservices architecture AWS or cloud exposure * Docker / containers * CI/CD tools (Jenkins, GitLab, SonarQube) * TDD / automated testing exposure Security Clearance Requirement: Due to client project work, candidates must be eligible for UK Security Clearance (SC) Why Apply? • Work on large-scale real-world systems, • Strong career development & mentoring, • Hybrid working model, • Modern tech stack & engineering culture JBRP1_UKTJ

Application Engineer - Connect Fibre £40,000 pa plus benefits Work from Home The Role Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing startup with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. Duties and responsibilities • Design and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. Qualifications and Experience A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • Proficiency in at least one programming language - Javascript, Python, PHP, • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus, • Experience with Wordpress and WooCommerce would be beneficial, • Familiarity with software development methodologies (Agile, Scrum, Devops etc.), • Experience of Cloud infrastructures Azure or AWS, • Working experience of API and REST API integrations, • Strong analytical and problem-solving skills to identify and mitigate development risks effectively, • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential, • Knowledge of geopandas, numpy, node or SQL is desirable but not essential, • Experience with GIT and Docker processes beneficial, • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. Measured on Performance evaluation will be based upon: ▪ Productivity and specific targets to be agreed collaboratively with line manager ▪ Quality of work and feedback from peers and colleagues ▪ Delivery of systems and services within agreed organisation and budget constraints ▪ Collaboration and skills as a team player. ▪ Innovation and creativity. Direct reports • This role reports directly to the Head of Systems Development. The Rewards • Salary: £40,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance, apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. As a Content Designer, you will be joining the growing and exciting Digital Excellence community who are continually sharing knowledge and expertise. We are all passionate about user-centred design, critical thinking, problem solving and designing and building digital services and products. You will champion inclusive design practices throughout our project lifecycles, ensuring solutions are accessible to as many users as possible. This includes engaging with diverse user research, applying accessibility guidelines and legislation, and advocating for inclusive design principles in your deliverables. Working at Capgemini Invent would give you opportunities to develop and grow, working with major clients in both public and private sector. Our offices are in a variety of locations including London, Manchester and Glasgow. We offer hybrid working, however depending on your project you may have to travel to client locations. • Identify and build strong relationships with clients across projects, influencing and collaborating with them on the content, • Create and iterate accurate user-centred content to a high standard that meets user needs, • Use analytics data, user feedback and user research to identify the needs of users and map user journeys, • Make complex language and processes easy to understand, • Bring new ideas and challenge the status quo, • Strong understanding of user-centred design principles and best practice, • Experience working in multidisciplinary Agile teams to design and deliver user-centred services, • Experience of designing content for diverse users including accessibility and assisted digital needs, • You will either already have SC (Security Check) Clearance or you are able to qualify for this level of clearance (by being a UK resident for at least 3 years and not having left the country for more than 6 consecutive months during this period), • Experience working with Government Digital Service (GDS) service standards, applying GDS design principles, • Experience working with relevant accessibility standards and legislation, such as the Web Content Accessibility Regulations (WCAG), • Experience writing inclusive content in plain English, • Good communication and stakeholder management skills Ideally, you will also have: You’ll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client’s outcomes. Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks, and it’s a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new. At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR - We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing. Whilst you will have London, Manchester, Newcastle or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. In order to commence a role with Capgemini UK plc you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the UK.

The role: This is more than a job - it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally through the Cloud & Platform Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities: * Design, deploy, and support integrated system and application solutions across physical, virtual, and cloud environments through CI/CD pipelines * Work with engineering teams to translate operational and technical requirements into implementable system architectures and solution designs * Support the deployment, configuration, and integration of systems and applications within development and operational environments * Ensure system solutions meet performance, reliability, security, and interoperability requirements across platforms and environments * Act as the technical liaison between engineering teams and supply chain partners, ensuring technical specifications, standards, and integration requirements are clearly communicated and understood * Support supplier engagement by reviewing technical proposals, validating solution compatibility, and assisting with integration planning * Coordinate with engineering and supply chain teams to ensure delivered components and systems meet required technical and operational specifications * Support and conduct system testing, validation, and troubleshooting to ensure successful deployment and operational readiness * Collaborate with cross-functional teams including software engineers, network engineers, architects, and programme teams to support system delivery * Support the integration of third-party technologies and vendor solutions into the broader systems architecture * Contribute to the development and maintenance of technical documentation, including design documentation, integration guides, and deployment procedures * Maintain awareness of emerging technologies and tools that could enhance system performance, integration, or operational capability * Any other duties required to meet the needs of the programme Who we are looking for: We're after individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team. You won't necessarily have a military background, but you'll understand what it means to serve and to put the mission first. The OMNIA Systems Solutions Engineers will be responsible for responsible for the discovery, deployment and integration of a wide range of applications, bespoke technology and solutions in relations to cloud platforms and modelling & simulation for the Army Collective Training Service (ACTS). Responsible to the Cloud & Platform Lead, this position will be critical to the successful technology and interoperability of the entire solution. The position is suited to an all-round engineer who thrives on the challenge of tackling integration and deployment wide range of solutions across a broad spectrum of technologies, including simulation systems. This position requires a customer first mindset, strong stakeholder engagement skills, and the ability work in a multidisciplinary engineering team in a complex and evolving environment. Essential Skills and Experience: * Engineering background with a degree in a relevant discipline or equivalent professional experience * Proven experience designing, deploying, and supporting integrated systems and application solutions across hybrid environments (cloud and on-premise) * Strong understanding of systems integration principles across software, infrastructure, and networking layers. * Ability to translate operational and technical requirements into practical system architectures and deployment plans. * Experience supporting technical deployments within structured delivery environments (e.g. Agile or SAFe). * Strong analytical and problem-solving capability with experience diagnosing complex system issues * Understanding of system security principles and governance requirements * Experience designing and deploying containerised solutions using orchestration technologies (e.g. Docker, Kubernetes) * Experience implementing CI/CD pipelines and DevOps tooling (e.g. GitHub, ArgoCD, Helm, Maven, SonarQube, Quay or equivalent) * Experience using monitoring and observability platforms (e.g. Prometheus, Fluentd, ELK stack, Grafana) * Experience integrating and supporting database solutions (e.g. MongoDB, PostgreSQL, MSSQL) * Experience deploying and operating systems within cloud platforms such as Azure or AWS * Experience supporting system testing, validation, and troubleshooting during deployment and operational phases * Holds, or is eligible to obtain, UK Security Clearance (SC) Desirable Skills and Experience: * Experience working with Red Hat OpenShift and Ceph storage platforms * Programming experience (e.g. Python, JavaScript) * Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) * Experience delivering multi-system integration projects within defence, government, or highly regulated environments. * Experience implementing and configuring training simulation technologies across Live, Virtual, and Constructive (LVC) environments * Experience working with external suppliers and vendors to deliver integrated technical solutions, including reviewing technical documentation to ensure alignment with system/architecture requirements and standards * Experience supporting procurement or supply chain teams by translating technical specifications and integration requirements * Understanding of interoperability standards or integration frameworks used within enterprise or defence systems Benefits and Work Culture Benefits * Competitive salaries. * 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) * Contributory Pension Scheme (up to 10.5% company contribution) * Company bonus scheme (discretionary). * 6 times salary 'Life Assurance' with pension. * Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. * Enhanced sick pay. * Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. * Car / Car allowance (dependant on grade/ role) * Private Medical Insurance (dependant on grade) Work Culture * 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. * Early 1.30pm finish Friday, start your weekend early! * Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. * A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. * Up to 5 paid days volunteering each year. JBRP1_UKTJ

A leading financial institution in Glasgow seeks a Lead Site Reliability Engineer.In this role, you'll lead efforts to enhance application reliability, serve as a key technical advisor, and mentor team members.Your expertise in tools like Docker and Kubernetes, along with experience in programming a

Full Time Senior MDS Cloud Infrastructure Lead Software Engineer in healthcare at JPMorgan Chase & Co. Cross-functional, Infrastructure, Elasticsearch, Stakeholder, Terraform, Security, Jenkins, Lambda, Docker, Agile, and more. We are seeking an experienced Infrastructure engineer to join our Market

Senior DevOps Engineer – Contract - Hybrid Avanti Recruitment is currently searching for a Senior DevOps Engineer to join a long-term programme focused on improving and scaling CI/CD, build systems, and engineering tooling within a complex environment involving embedded and hardware-integrated software. You’ll be working across build, test, and delivery pipelines supporting C/C++ based systems, helping ensure reliable integration, testing, and release processes. You’ll take ownership of pipelines and build infrastructure, working closely with development and QA teams to improve automation, performance, and overall delivery capability. Key Responsibilities • Own and improve CI/CD pipelines and build systems, • Support integration, testing, and release processes, • Work closely with engineering teams to resolve build and pipeline issues, • Drive improvements in automation, reliability, and performance Technical Environment CI/CD: GitHub Actions or Jenkins Languages: C / C++ Cloud: AWS and/or Azure Containers: Docker / Podman Platforms: Linux This is a long-term contract with a strong roadmap, offering the opportunity to work on complex, real-world systems and play a key role in shaping engineering delivery. If you are interested then please apply online today

Start a career with one of the best beauty brands around?World famous beauty and cosmetics brand Avon is looking for full and part time representatives in the UK right now as business expands.See the TV Ad campaignThis is your chance to work with a premier international brand with 130 years of prove

Hands-on experience with Docker, docker-compose, and container lifecycle management. You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Monitor, maintain, and troubleshoot distributed containerized serv

You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. At Docker, we make app development easier so developers can focus on what matters. Cross‑functiona

This fully remote role values autonomy, requiring at least 5 years of relevant experience with AWS, Docker, Terraform, and Ansible.

Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. Docker does not offer visa sponsorship for this role. Design and implement systems that leverage Docker containers as the ideal runt

The ideal candidate has extensive experience in functional testing, Docker, and Linux.

A leading tech company is seeking a Principal Software Engineer to join their AI engineering team.The role involves shaping the future of containerized AI agents, leading technical architecture, and collaborating cross-functionally to enhance developer experience.Ideal candidates should have over 10

Ideal candidates will have solid experience with Docker and Kubernetes, as well as proficiency in performance testing tools such as LoadRunner and JMeter.

You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Strong hands-on experience with Docker and Docker

DevOps Engineer - Glasgow - Public Sector - Outside IR35.Duration - 6 months with a view to extend.Harvey Nash's Client are hiring a contract DevOps Engineer, you will join a team focused on building a cloud based platform.You will be expected to be embedded into the Digital team as well as working

Code Wizards Group is a world leader in backend and multiplayer infrastructure for the gaming industry.From high-scale AAA console and PC games to fast-paced mobile indie titles, we empower studios to bring multiplayer experiences to life.Within the Group lie Multiplayer Wizards, whose sole responsi

Reporting to the Web Architect, the DevOps Engineer will play a key role in designing and implementing the technical backbone of the digital platforms.This role is crucial to supporting the “digital first” strategy with solutions that are flexible, scalable, and reliable.The DevOps Engineer will

Lead Azure DevOps EngineerLeicester (3 days per week onsite)Up to £87,000 | No Sponsorship AvailableVIQU have partnered with a rapidly growing, technology-driven retail organisation that is investing heavily in its digital and eCommerce platforms.With a strong focus on Azure cloud and modern engine

DevOps EngineerLocation: Newcastle 3 days on-site Salary: From £40,000 + PackageSecurity Clearance requiredWe're currently hiring for a DevOps Engineer to join a technology-driven team delivering secure, scalable, and automated infrastructure for high-impact projects.Youll work with cutting-edge t

Senior Azure Devops Engineer Permanent – Leicester - Hybrid £64,000-£71,000 VIQU is partnering with a leading organisation on a major cloud and DevOps transformation, moving from on-premise to a cloud-first Azure environment.This is a high-impact opportunity for a Senior Azure DevOps Engineer to

DV DevOps Engineer / Site Reliability Engineer (SRE) - AWS, Kubernetes - Contract Outside IR35.We are supporting a specialist engineering consultancy delivering secure technology platforms to high-profile UK government organisations.They are seeking an eDV Cleared DevOps Engineer / Site Reliability