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Company Description PACE Anti-Piracy Inc., is an industry leader in the development of robust protection products, and flexible licensing management solutions. Since 1985, PACE has provided software publishers and developers with easy to use, high quality solutions for anti-piracy protection and secure software distribution. PACE's products and services are trusted by thousands of software publishers around the world with millions of end users. We are seeking a Software Engineer with deep experience developing and porting software to Linux systems. The ideal candidate has a proven history of shipping commercial software products and is comfortable working across multiple layers of the stack - from system-level components through to application and UI frameworks. This role will be based at our R&D office in Glasgow, Scotland, with some flexibility for part-time remote work. Key Responsibilities • Bring-up and integration of existing software on Linux platforms, including packaging, deployment, and system service management., • Collaborate with product management and other engineering teams to plan features and deliver high-quality releases., • Participate in code reviews, design discussions, and overall engineering quality initiatives., • Support cross-platform development efforts as needed (macOS and Windows). Required Qualifications • Strong expertise developing on Linux, including hands-on experience with system-level programming, debugging, and tooling., • Demonstrated track record of building and shipping commercial software, • Expertise in C++ and modern development best practices., • Ability to work proactively and autonomously in a fast-paced engineering environment. Preferred/ Bonus Experience • Cross-platform development experience on Linux, macOS, and/or Windows., • GUI application experience with JUCE or Qt., • Python, • Experience working on security-focused or protected software, such as:, • White-box cryptography, • Code obfuscation, • Secure licensing or anti-tamper systems, • Encryption or secure communication protocols, • Familiarity with automated build pipelines (CMake, Jenkins, etc.), • Proven ability to work effectively with both local and remote teams What we offer • Competitive salary and benefits package., • Hybrid work model with flexibility for remote work., • 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 secure, reliable software that ships to real customers — and you enjoy solving deep technical challenges across platforms — we’d love to hear from you.

Role: Data Engineer Location: Glasgow Hybrid Work:3 days per week and 2x WFH Salary: Competitive but around £50,000 - £60,000 Tech stack: Python, AWS, CI,CD, ETL, Data Warehouse We CANNOT sponsor or accept anyone on a PSW or Graduate Visa. This Role is Exclusive to Cortech so you MUST apply via this advert We are looking for a AI engineer someone that is capable of deploying and maintaining infrastructure: • Python (must), • API design and frameworks FastAPI ideally (but Flask and Django, in said order, would indicate this), • Experience with AWS ideally (Azure or GCP would be a good indication), • Experience with Infrastructure as Code, CDK ideally (Terraform or Serverless potentially) Great to have but can be taught: • Data and stream processing - AWS Firehose and ETL platforms, • Experience with authentication frameworks, • CI/CD GitHub actions (GitLab, TeamCity, CircleCI) This is data related software development, responsible for whole lifecycle and developed end point for API data pipeline. Must be able to write infrastructure code in terraform or AWS but can be taught. We design and develop across a full stack of disciplines – Mechanical, Electronic, Electrical and Software Engineering – within the Digital team we develop software for IoT edge devices, cloud services, frontend UI, AI/ML models in computer vision, and Data Analysis. We are seeking a talented and enthusiastic Data Engineer to join our talented AI/ML team. We are a medium-sized enterprise so you will be working closely with everyone in the business. If this kind of direct visibility and opportunity to shine through your collaboration and merit appeals, this is the place for you. As a Data Engineer, you will have the opportunity to work closely with experienced professionals and gain valuable hands-on experience across the entire product development lifecycle. Responsibilities of the role • Develop, deploy and validate high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis., • Conduct thorough data analysis, feature engineering, and model selection to optimize model performance and accuracy., • Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to translate business requirements into technical specifications and deliver impactful solutions., • Develop and maintain robust and scalable machine learning pipelines using AWS services (e.g., SageMaker, EC2, S3, Lambda) and other relevant technologies., • Stay abreast of the latest advancements in computer vision and machine learning research and explore new opportunities to apply these innovations to our business., • Contribute to the development and improvement of our machine learning infrastructure and best practices. Experience & Skills: • Master's or Ph.D. in Computer Science, Computer Engineering, or a related field with a strong focus on machine learning., • Solid understanding of deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications., • Proficiency in Python and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch)., • Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc., • Experience with cloud-native development and deployment methodologies., • Ability to work independently and as part of a collaborative team., • A strong passion for machine learning and a desire to continuously learn and grow. General Skills • Excellent problem-solving skills and the ability to think creatively to overcome technical challenges., • A passion for learning and staying updated with the latest industry trends and best practices., • Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams, your default should be Openness and transparency., • Desire to take the initiative and self-start when necessary., • Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Knowledge of MLOps principles and best practices., • Experience with distributed computing and large-scale data processing. How to apply? Please send a CV to

Job description Job Title: Test Automation Engineer Location Hybrid: Glasgow or Bournemouth Target Start Date: ASAP Contract duration: 12 months Day Rate: Competitive (Inside IR35) Deloitte Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. Role Purpose We are seeking a highly skilled Test Automation Engineer to work with an Investment Bank in Glasgow or Bournemouth, tasked with supporting User Acceptance Testing (UAT) for a Market Expansion programme in Payments. As a Test Automation Engineer, you will focus on building and maintaining automated solutions for end-to-end (E2E) flows, ensuring robust deployment and operational excellence across our engineering landscape. Responsibilities • Maintain and deploy automation services, ensuring stability and reliability across environments., • Investigate and resolve failures in automated flows, performing root cause analysis and implementing corrective actions., • Extend proof-of-concept (POC) code into robust services and ensure ongoing sanity testing post-deployment or changes., • Collaborate with users to capture, analyse, and resolve issues encountered during UAT., • Develop and maintain a comprehensive FAQ documenting common issues and their resolutions., • Monitor and track the performance of tool releases to ensure no degradation in service quality., • Work closely with the test engineering team to share knowledge and drive best practices in automation. Key Skills and Experience • Strong programming skills in Python and/or Java., • Experience with cloud hosting platforms (e.g., AWS, Azure, GCP) for deploying and managing services., • Proven ability to maintain and troubleshoot automated testing solutions., • Basic understanding of payments processes and business flows., • Excellent problem-solving and analytical skills., • Effective communication skills for working with both technical and non-technical stakeholders. Beneficial Skills and Experience IR35 As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (‘PSCs’). All Associates must contract under PAYE arrangements through a Deloitte approved ‘Employment Company’ (aka ‘umbrella company.’)

Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k A growing cloud and platform engineering consultancy is looking for a Senior AWS Platform Engineer to play a key role in designing and building secure, scalable cloud platforms for a range of high-impact projects. This is a hands-on role suited to someone who enjoys solving complex infrastructure challenges, improving developer experience, and enabling teams to deliver software faster and more reliably. You’ll be working with modern cloud-native technologies across AWS, using tools such as Terraform, Kubernetes (EKS), and CI/CD pipelines to build robust, production-grade platforms. Key Responsibilities • Design, build, and operate AWS platform components aligned with best practices, • Implement and maintain infrastructure as code using Terraform, • Build and improve CI/CD pipelines to support efficient, reliable delivery, • Support containerised workloads using Kubernetes and EKS, • Collaborate with engineering teams to enable cloud-native development patterns, • Implement monitoring, logging, and alerting for improved visibility, • Create reusable modules and deployment patterns, • Contribute to continuous improvement of platform performance, security, and scalability Requirements • Strong experience working with AWS in a platform or DevOps capacity, • Hands-on experience with Terraform (or similar IaC tools), • Experience with Kubernetes and containerised environments, • Solid understanding of CI/CD pipelines and automation practices, • Experience working in collaborative, cross-functional engineering teams, • Strong problem-solving mindset with a focus on reliability and scalability Location: Remote (UK-based) Salary: Up to £90k Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k

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).

Contract Embedded DevOps Engineer 12 month contract | Glasgow - 3 days onsite | Up to £80ph - Inside IR35 We're recruiting for a senior DevOps Engineer to support a growing engineering team working on embedded software and connected hardware systems. This is a hands-on role focused on CI/CD, build and release pipelines, tooling, and test infrastructure for embedded products. You'll work closely with Software, QA and Hardware teams to improve and maintain a robust delivery environment. This opportunity would suit someone with experience in embedded systems, electronics-led environments, hardware-connected software, or HIL / hardware-based test setups. The Role You'll be responsible for supporting and improving the DevOps and tooling environment that underpins embedded software delivery. Key responsibilities • Own and improve the CI/CD environment for embedded software delivery, • Maintain and enhance GitHub Actions pipelines for build, test, release and deployment, • Support build, packaging, artifact management and release processes, • Help evolve tooling following a migration from Jenkins to GitHub, • Support deployment and testing across hardware rigs / Raspberry Pi-based environments, • Work closely with QA and engineering teams on test automation and buil...

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

Digital Design Engineer - Cryptography 📍 Office based in London - monthly visits required 🏠 Remote position in the UK 📄 3 months contract - Outside IR35 💷 Rate negotiable 5V Tech is supporting a cutting-edge silicon security company delivering trusted solutions for modern SoCs, chiplets, and connected devices. They are looking for a Digital Design Engineer with experience in Cryptography to join their project and start contributing from day 1. They combine low-footprint security IP with lifecycle software to ensure identity, integrity, and trust are anchored directly in silicon and maintained across manufacturing, deployment, and operation. This is a hands-on role for someone who has implemented cryptography at hardware level, not just worked on theory. The project: • Designing and implementing secure digital architectures for ASIC/FPGA, • Building and optimising hardware modules for cryptographic algorithms (AES, SHA, TRNG), • Working on Root of Trust systems and secure hardware components, • Applying countermeasures against side-channel attacks, • Contributing across RTL design, verification, and timing analysis Requirements: • Extensive experience in digital design, • Strong background in hardware-based cryptography implementation, • Excellent Python skills, • Solid Verilog or VHDL skills, • Experience working on ASIC or FPGA targets 5V Tech are acting as an Agency for the purposes of this contract. We offer a reward scheme if you can recommend someone for this contract, up to £250 for you and an additional £250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK and North America.

Full-Stack Engineer (TypeScript/Node/React) Location: Remote Company: High-Growth HealthTech Startup The Opportunity After hitting some recent significant product milestones, my client are looking to expand their engineering team to match their business trajectory. You will be joining at a pivotal moment, working directly with the CTO and small team to bridge the gap between ambitious product roadmaps and high-quality technical execution. The Tech Stack • Frontend: React.js, Tailwind CSS, • Backend: Node.js, • Language: TypeScript, • Build & Scale: Develop new features from discovery to deployment, ensuring our platform can handle rapid user acquisition., • Strategic Collaboration: Work closely with the team to translate business goals into scalable technical solutions., • Code Excellence: Maintain high standards through code reviews, automated testing, and mentoring as the team grows., • Product Ownership: Take a seat at the table during product discussions, be a valued engineer who thinks about the "why," not just the "how." If you are interested in this opportunity please apply for a confidential chat!

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

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

We’re hiring a Senior Software Engineer (Python) - Trading Systems to own and evolve a production options trading system. It runs during market hours, ingests real-time market data, and requires profiling-led performance engineering to keep p50/p99 latency, jitter, and reliability within tight bounds. You’ll take meaningful ownership day-to-day, partnering closely with the founder and the engineering team to prioritise work, ship improvements quickly, and keep the system fast, reliable, and correct. Who this is for • This role is for engineers who have built and owned real-time, performance-critical systems., • It is not suitable for candidates whose experience is mainly web product development (frontend-heavy or CRUD backends)., • We’re looking for proven experience with measuring and improving p99 latency/jitter and operating systems during time-critical windows., • Must be based in the UK and with a legal right to work in the UK Location: UK-based Working style: Mostly remote, occasional in-person days for planning/coordination Support: Availability during core market hours required What You’ll Do • Own and improve a production Python codebase that runs during market hours., • Build and optimise real-time market data pipelines (throughput, p50/p99 latency, jitter)., • Do profiling-driven performance work across ingestion → compute → messaging → consumers., • Improve reliability: freshness/staleness handling, safe degradation, back pressure, fault isolation., • Strengthen “developer leverage”: replay/simulation tools, regression tests, and debugging tooling., • Work with cloud infrastructure, deployment, monitoring, and incident response., • Collaborate directly with the founder and engineering team on architecture and roadmap. Essential Skills • 5+ years professional Python experience; you’ve shipped and owned production systems., • Built/owned a real-time / low-latency system (not batch ETL) with measurable performance goals., • Strong understanding of async + multiprocessing trade offs and performance profiling., • Comfortable owning an existing codebase: refactors, tests, architecture improvements., • Experience with messaging / event-driven systems and strong API/schema discipline., • Production ownership mindset: incidents, monitoring, and fast debugging when it matters., • UK-based preferred and able to support core market hours when required. Desirable Skills • Interactive Brokers (TWS/IB Gateway) or similar brokerage/execution APIs., • Experience with trading, market data, or execution systems., • Experience designing safety constraints/guardrails in automated systems. What We Offer • Competitive salary (negotiable) + performance-related bonus., • Mostly remote, with some in-office collaboration days for coordination and planning, • Lean environment, direct impact on a live system., • High ownership and influence over system design and roadmap.

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.

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

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

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

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

MS Dynamics 365, Azure Remote Contract, outside IR35 Competitive daily rate We are seeking an experienced Azure, Microsoft (MS) Dynamics Engineer (Enterprise) to help design, develop, implement and integrate a new cloud-based CRM solution, utilising Azure tools and working on MS Dynamics and other CRM technologies used in the not-for-profit / public sectors. Core Responsibilities: • Develop and implement seamless integrations between CRM solution and the existing systems using Azure Services, i.e. Azure Logic Apps, Azure Functions, Azure API Management, and Azure Service Bus, • Create data pipelines and workflows using Azure Data Factory for batch integration, • Design and implement RESTful APIs for communication between systems, • Create and preside over detailed documentation of low level integration designs, processes and interface contracts Experience required: • Strong technical knowledge to design, develop and maintain complex integrations, • Ability to produce integration designs in line with the wider enterprise and solution architecture designs, patterns and principles, • Proven experience as an Integration Engineer having worked on enterprise-level solutions and integration, • Experience with MS Dynamics 365 / Dynamics CRM, • Strong hands-on experience with Microsoft services such as:, • Azure Logic Apps & Azure Functions, • Azure API Management & Azure Service Bus, • Azure Data Factory, • Power Platform Power Automate, • Experience developing and consuming APIs and web services, • Knowledge of API security standards and Azure Active Directory integration, • Proficiency in C#, .NET, or other modern programming languages, • Experience of DevOps including CI/CD pipelines, version control and deployment strategies If this sounds like you, please apply directly with your up to date CV & contact details attached. Due to high levels of interest, we kindly request you do NOT call our offices. We review all applications and will be in touch with successful candidates in due course. Thank you for your understanding on this request.

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.

Overview Sanderson Recruitment are hiring an Implementation Engineer to work with a well-regarded FinTech client who provide global connectivity infrastructure and analytics tools within financial markets. This person will have the opportunity support the delivery and integration of a core analytics platform for clients operating in fast-moving technical environments. Responsibilities In this role, you will: • Help prepare, configure and deploy systems, assist clients through onboarding, and ensure solutions run reliably in production, • Investigate technical issues, refine integrations, and work closely with engineers to improve tooling, deployment processes and platform capabilities., • Work hands-on with Linux environments, scripting, data exploration and operational metrics, while contributing to enhancements that make the platform easier to deploy and maintain., • Design new solutions to meet emerging requirements, • Ideally, you will have a software engineering / delivery / integration background, however candidates with a strong systems engineering / support background alongside the other required skills will be considered., • Experience working with Linux-based systems and env...

Robotics Deployment Engineer (Field & Applications) Full-time | Permanent Location: London, UK (or remote) Compensation: £60,000-80,000 per year. Travel: 80% across Europe. Role Overview Our customer, an AI robotics start-up, is building and scaling the deployment of AI-driven robotic arms for industrial environments, including manufacturing facilities and logistics operations. This role focuses on bringing these systems from concept to real-world performance at client sites. This role is the first of it's kind within the business, and they are now looking for an deployment engineer with a growth mindset who wants to join their journey, build/deliver a deployment process, and facilitate further growth in the area of field operations. What You’ll Do • Design and streamline end-to-end deployment workflows, covering technical pre-sales input, safety integration, and handling processes, • Lead on-site implementation of robotic solutions, ensuring successful installation, calibration, and operational readiness, • Track system performance post-deployment and collaborate with engineering teams to refine and optimise results, • Contribute to commercial efforts by providing technical expertise during client discussions alongside leadership, • Oversee and coordinate complex deployments for strategic customers, • Occasionally support AI development initiatives in partnership with the technical team Your Background Core Requirements: • Proven hands-on experience deploying robotic systems in real-world environments, • Strong organisational and project leadership capabilities, • Working knowledge of robotic software, machine vision, industrial cameras etc., • Genuine interest in robotics and artificial intelligence, combined with a self-driven and structured approach to work, • Experience with industrial robotic arms or collaborative robots, • Exposure to technical sales or pre-sales activities in robotics, • Familiarity with AI-based robotic applications, • Understanding of software rollout and integration processes, • Additional language skills (French and/or German)

Role: Data Platform Engineer Location: Glasgow Hybrid Work: 3 days per week and 2x WFH Salary: Competitive but around £50,000 - £60,000 Tech stack: Python, AWS, CI,CD, ETL, Data Warehouse We CANNOT sponsor or accept anyone on a PSW or Graduate Visa. This Role is Exclusive to Cortech so you MUST apply via this advert Key skills: • Capable of deploying and maintaining infrastructure, • Python (must), • API design and frameworks FastAPI ideally (but Flask and Django, in said order, would indicate this), • Experience with AWS ideally (Azure or GCP would be a good indication), • Experience with Infrastructure as Code, CDK ideally (Terraform or Serverless potentially) Great to have but can be taught: • Data and stream processing - AWS Firehose and ETL platforms, • Experience with authentication frameworks, • CI/CD GitHub actions (GitLab, TeamCity, CircleCI) This is data related software development, responsible for whole lifecycle and developed end point for API data pipeline. Must be able to write infrastructure code in terraform or AWS but can be taught. We design and develop across a full stack of disciplines – Mechanical, Electronic, Electrical and Software Engineering – within the Digital team we develop software for IoT edge devices, cloud services, frontend UI, AI/ML models in computer vision, and Data Analysis. We are seeking a talented and enthusiastic Data Engineer to join our talented AI/ML team. We are a medium-sized enterprise so you will be working closely with everyone in the business. If this kind of direct visibility and opportunity to shine through your collaboration and merit appeals, this is the place for you. As a Data Engineer, you will have the opportunity to work closely with experienced professionals and gain valuable hands-on experience across the entire product development lifecycle. Responsibilities of the role • Collaborate with cross-functional teams (e.g., data scientists, software engineers, ML/AI Engineers and product managers) to translate business requirements into technical specifications and deliver impactful solutions., • Develop and maintain robust and scalable data pipelines using AWS services (e.g., SageMaker, EC2, S3, Lambda) and other relevant technologies., • Stay abreast of the latest advancements in data pipeline research and explore new opportunities to apply these innovations to our business., • Contribute to the development and improvement of our infrastructure and best practices. Experience & Skills: • Master's or Ph.D. in Computer Science, Computer Engineering, or a related field., • Proficiency in Python, • Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc., • Experience with cloud-native development and deployment methodologies., • Ability to work independently and as part of a collaborative team. General Skills • Excellent problem-solving skills and the ability to think creatively to overcome technical challenges., • A passion for learning and staying updated with the latest industry trends and best practices., • Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams, your default should be Openness and transparency., • Desire to take the initiative and self-start when necessary., • Flexibility, we pride ourselves on doing what is necessary to make the whole organisation successful. Bonus Points: • Experience with distributed computing and large-scale data processing. How to apply? Please send a CV to

Platform EngineerUK Remote (Occasional Travel to Reading or Glasgow)Salary £75,000 (Package) An exciting opportunity for a Platform Engineer to join a growing Cloud Engineering and Platforms practice. This is a hands on role focused on designing, building and automating secure scalable cloud platforms. Responsibilities: • Design and build secure, scalable cloud platforms using IaC (Terraform, Bicep, ARM) reusable modules, and modern DevOps Practices, including CI/CD and cloudnative automation, • Troubleshoot and resolve complex issues across platform services, DevOps tooling and deployment pipelines, • Embed secure by design principles across identity, networking, etc, • Strong?handson?engineering capability with a passion for automation, cloud platforms and DevOps excellence, • Confidentengineering solutions on Microsoft Azure., • Proficient with?Infrastructure-as-Code?(Terraform, Bicep, ARM) and modern DevOps tooling., • Experienced inconfiguring and?maintaining?CI/CD pipelines.

Title: Control Panel Wiring Engineer Type: Contract Rate: £18-£20 per hour The Control Panel Wiring Engineer is responsible for the assembly, wiring, testing, and quality assurance of electrical and electronic control panels used within integrated security systems. The role supports the delivery of reliable and compliant security solutions by ensuring control panels and interface cabinets used for access control, CCTV, intruder detection, intercom, and integrated systems are built, tested, and documented to the required standards before installation or deployment. This role plays a key part in ensuring panels integrate correctly with security platforms, field devices, and building systems while maintaining high standards of workmanship, safety, and quality control. · Assemble and wire security system control panels, interface panels, and equipment racks in accordance with engineering drawings, wiring schematics, and project specifications. · Install and wire components such as: · Power supplies and battery backup systems · Access control controllers and door interface modules · Network switches and communication devices · Intruder alarm panels and expanders · CCTV power distribution equipment · Intercom and communication interfaces · Relays, contactors, and terminal blocks · Install and route internal panel wiring including power, signal, and communication cables. · Terminate cables using appropriate ferrules, crimps, and labelling standards. · Ensure wiring routes are neat, secure, and compliant with internal build standards. · Install trunking, DIN rails, cable management systems, glands, and panel hardware. · Support panel modifications or rework when design updates or site-specific changes occur. JBRP1_UKTJ

AWS Cloud Engineer Location:Manchester (hybrid, - 3 days onsite) Salary:From £40,000 (depending on experience) + £7,000 bonus NOTE:Candidates must be eligible for UK DV clearance We are seeking an experienced AWS Cloud Engineer to join a high-impact team delivering mission-critical projects. You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. What You'll get the opportunity to work on as a Cloud Engineer: • Design and implement cloud infrastructure and platform solutions in AWS, • Build and maintain CI/CD pipelines to streamline delivery and releases, • Support containerised and cloud-native workloads, • Contribute to infrastructure as code and automated environment provisioning, • Collaborate with software engineers to improve deployment, reliability and performance, • Apply best practice across code quality, testing and security controls, • Work within agile teams using Scrum, Kanban or Lean delivery models, • 3+ years commercial experience in a Cloud / Platform / DevOps / Infrastructure Engineering role, • Commercial experience with AWS, • Strong scripting or programming ability (Python, JavaScript, Java or .NET), • Experience with version control systems such as Git, • Hands-on experience with CI/CD tooling (e.g. Jenkins, Bamboo, TeamCity, Bitbucket pipelines), • Infrastructure as Code and configuration management exposure, • Automated testing and code quality tooling awareness, • Understanding of software design patterns and engineering best practice, • Work on mission-critical systems that have real-world impact, • Strong career progression with structured support and learning, • Competitive salary + bonus + flexible benefits package, • Hybrid working across multiple UK locations JBRP1_UKTJ

Key Responsibilities: • Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives., • Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring., • Establish architectural standards, design patterns, and engineering best practices., • Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation., • Review and approve solution designs produced by AI Solution Engineers and wider delivery teams., • Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff., • Set technical direction and ensure consistency in engineering standards across AI initiatives., • Conduct code and design reviews to ensure quality, security, and maintainability., • Identify capability gaps and drive upskilling across the AI team., • Foster a collaborative, high-performance engineering culture., • Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations., • Oversee deployment of AI systems into secure or controlled environments., • Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks., • Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability., • Lead remediation and optimisation efforts when performance, compliance, or operational risks arise., • Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design., • Ensure compliance with data governance, security, and regulatory requirements., • Support accreditation and assurance activities within regulated or defence environments., • Identify, assess, and mitigate technical risks associated with AI deployment., • Translate operational or business requirements into AI-enabled solution approaches., • Engage senior stakeholders, providing clear technical briefings and strategic recommendations., • Contribute to AI capability roadmaps and innovation strategies., • Lead technical input into bids, proposals, or programme planning activities where required., • Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases., • Drive continuous improvement of AI engineering practices, tooling, and delivery methods., • Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability. The successful candidate will be a technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals.You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with the ability to leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with architecture vision and goals, ensuring secure, interoperable systems to drive and automate data driven decision making. Essential Skills and Experience: • Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments., • Strong Python expertise and deep knowledge of ML frameworks, • Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies, • Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices, • Strong understanding of API-led integration within enterprise systems, • Experience embedding responsible AI principles into architectural design, • Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes, • Accountability for technical risk identification and mitigation, • Experience translating operational requirements into AI-enabled capabilities, • Ability to engage and influence senior stakeholders, • Experience defining AI roadmaps and technical strategy, • Strong decision-making capability balancing innovation, risk, and operational constraints, • Proven experience leading, mentoring, and developing AI/ML engineers, • Strong systems-level analytical thinking, • Ability to operate autonomously with accountability for outcomes, • Degree in relevant discipline or equivalent senior-level experience JBRP1_UKTJ

Belcan Workforce Solutions are recruiting for a Scada Engineer - ADMS Energy systems. 12 month - Inside IR35 contract role. UK remote based with trips to UK & Europe offices as required. Job Description We're looking for a Scada Engineer to connect our customers with our technologies and products. Our team is involved in ADMS (Advanced Distributions Management System) related projects, tackling problems ranging from analysing data to providing solutions for varied customer business requirements. Our product is deployed in distribution companies worldwide and is leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth transitions and integration of legacy systems into new ADMS SCADA environments. Install and configure SCADA simulation systems to support testing, training, and operational simulations. Ensure accurate modelling of SCADA environments to meet system requirements. Handle the installation and configuration of Front-End Processors (FEP) and Enhanced Front-End Processors (EFEPS), ensuring seamless communication between SCADA systems and remote devices. Conduct thorough SCADA testing, validating the system's functionality, performance, and reliability. Identify and resolve issues, ensuring the system meets operational requirements. Provide expert consultancy to clients, delivering workshops and training sessions to enhance their understanding and utilisation of SCADA systems. Share best practices and ensure clients are equipped to manage and optimize their SCADA environments. Lead the deployment and commissioning of ICCP (Inter-Control Centre Communications Protocol), ensuring proper integration of multiple control centres and seamless data communication. Stay current with emerging SCADA protocols and technologies, continuously expanding your knowledge to ensure the implementation of the latest best practices and industry standards. Required Skills & Experience: Extensive experience in ADMS SCADA migration and integration. Proven expertise in the installation and configuration of SCADA simulation systems. Solid knowledge of Front-End Processors (FEP) and Enhanced FEPs (EFEPS) installation and configuration. Strong hands-on experience in SCADA testing, troubleshooting, and optimisation. Experience providing consultancy, workshops, and training to clients on SCADA systems. Practical knowledge of ICCP deployment and commissioning. Passion for learning and staying updated on new SCADA protocols and technologies. Strong problem-solving and analytical skills. Excellent communication and customer-facing skills. Preferred Qualifications: Familiarity with a variety of SCADA protocols (e.g., IEC 61850, DNP3, Modbus, etc.). Experience with SCADA systems in the energy or utilities sector is a significant advantage. Any experience working with ADMS, OMS, and DMS systems in utility or energy sectors. Relevant certifications in SCADA systems, ADMS, or energy management technologies. Ability to work independently and in cross-functional teams. This vacancy is being advertised by Belcan 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

VCF Consultant - SC Cleared Location: Hybrid - a couple of days per month in the Midlands Duration: 3 Months Start: Immediate Rate: Inside IR35 - £850 per day Job Description We are seeking an experienced SC Cleared VCF Consultant with strong expertise in VMware Cloud Foundation (VCF9) and NSX. The successful candidate will support a VCF9 greenfield engagement, working closely with the Lead Architect, customer and key suppliers to deliver and implement the agreed design. This role is focused on hands-on deployment, implementation support and technical consultancy across the full lifecycle of the VCF9 platform. Key Responsibilities • Support the delivery of VCF9 greenfield deployments, implementing and configuring the platform in line with agreed designs., • Contribute to design and requirements workshops, providing practical input from a deployment and delivery perspective., • Produce and maintain deployment documentation and workbooks, including build guides, configuration steps and as-built documentation., • Carry out installation, configuration and validation of VCF9 components, including NSX, ensuring alignment with standards and best practice., • Troubleshoot and resolve technical issues across VCF and NSX components during deployment and early life support., • Collaborate with architects, engineers and third-party suppliers to ensure smooth and coordinated delivery., • Active SC Clearance., • Proven experience delivering VCF deployments in a consultant or engineer capacity., • Strong hands-on experience with VCF9 and NSX., • Good understanding of VMware Cloud Foundation architecture and supporting technologies., • Experience working in customer-facing environments alongside multiple stakeholders and suppliers., • Strong troubleshooting and problem-solving skills., • Effective communication skills with the ability to explain technical concepts clearly., • VMware certifications such as VCP or VCAP., • Experience supporting large-scale cloud or infrastructure transformation programmes. JBRP1_UKTJ

Electronic Warfare Systems Engineer Porton Down (SP4) Perm - Full Time On-site • Salary £50,000 - £65,000 DOE, • 25 days annual leave inclusive of up to 3 days Christmas shut-down, • Buy or sell up to 5 days annual leave, • Annual Wellbeing allowance, • Two pension schemes to choose from, • Private Medical Insurance + discounts for additional family members, • Life Assurance scheme up to 4 x salary, • Share Save scheme, • Electric/Hybrid Car leasing scheme, • Cycle to work scheme, • Retail discounts, • Career development support Join MASS at Porton Down as anElectronic Warfare Systems Engineerand play a key role in delivering cutting-edge EW solutions. Youll be embedded directly with our technical customer, Dstl, helping to design, implement, and validate new capabilities, influence operational outcomes, and develop into a Subject Matter Expert within a high-performing, multidisciplinary team. The invaluable experience youll bring Joining a large project in its early phases, you will be needed to gather stakeholder use cases and work together with a broad range of customers and colleagues to define User and System Requirements, and support the derivation of Design Specifications. Youll play a key role during deployment, providing hands-on support and guidance for design activities, using your Model-Based Systems Engineering expertise (UML, SysML, ArchiMate) helping turn concepts into operational solutions. Essential: • Systems Engineering, • System Design Documentation, • Defence Industry knowledge of EW systems, • Test and acceptance of integrated systems, • Experience across the Engineering Delivery Lifecycle, • Requirements Management (DOORS/Enterprise Architect etc.) Desirable: • Systems Modelling (UML/SysML), • Coding experience (JavaScript or MATLAB/Simulink), • Previous ex-Military experience with EW systems (operator, maintenance, support, or acquisition). Wellbeingis at the core to our culture, allowing you to flourish and to achieve your full potential. You are important to us, and we take pride in our wellbeing programmes and policies that support you as individuals including, mental health first aiders and readily available support through our extensive employee assistance programme. Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with,youmustbe: • A UK National and eligible to work in the UK JBRP1_UKTJ

Contract Embedded DevOps Engineer 12 month contract | Glasgow - 3 days onsite | Up to £80ph - Inside IR35 We're recruiting for a senior DevOps Engineer to support a growing engineering team working on embedded software and connected hardware systems. This is a hands-on role focused on CI/CD, build and release pipelines, tooling, and test infrastructure for embedded products. You'll work closely with Software, QA and Hardware teams to improve and maintain a robust delivery environment. This opportunity would suit someone with experience in embedded systems, electronics-led environments, hardware-connected software, or HIL / hardware-based test setups. The Role You'll be responsible for supporting and improving the DevOps and tooling environment that underpins embedded software delivery. Key responsibilities Own and improve the CI/CD environment for embedded software delivery Maintain and enhance GitHub Actions pipelines for build, test, release and deployment Support build, packaging, artifact management and release processes Help evolve tooling following a migration from Jenkins to GitHub Support deployment and testing across hardware rigs / Raspberry Pi-based environments Work closely with QA and engineering teams on test automation and build reliability Improve code quality, pipeline stability and release traceability Contribute to future improvements across cloud, virtualised or scalable infrastructure What We're Looking For Strong background in DevOps, Build & Release Engineering, or CI/CD Experience supporting embedded software, firmware, or electronics-based products Strong hands-on experience with GitHub Actions Experience building and maintaining CI/CD pipelines Good experience with build tooling, release tooling and artifact management Strong scripting / automation capability Experience working closely with Software Engineers and QA teams Understanding of Hardware-in-the-Loop (HIL) or physical device-based test environments would be highly beneficial Exposure to AWS / cloud infrastructure would be advantageous Tech Environment GitHub / GitHub Actions Embedded software / electronic devices Raspberry Pi test infrastructure Jenkins to GitHub migration Build, release and quality tooling Potential AWS / virtualised environments This is a great opportunity to join a team where the DevOps capability is already established, but now needs a strong engineer to help support, improve and scale it as the wider engineering function grows. If you have experience in DevOps for embedded systems, hardware-linked software environments, electronics products, or HIL testing infrastructure, we are keen to hear from you. TPBN1_UKTJ

Senior Full Stack Developer - Remote - Competitive Salary I'm working with an exciting organisation that is looking to appoint a Senior Full Stack Developer to help design and deliver secure, cloud-native applications within a modern Microsoft and Azure ecosystem. This is an excellent opportunity for an experienced full-stack engineer who thrives in structured architectural environments and enjoys building scalable, enterprise-grade systems using the latest .NET and Angular technologies. Key Responsibilities You will be responsible for: • Designing and developing scalable backend services using .NET 10 and ASP.NET Core Web APIs, • Building and maintaining Angular 21 front-end applications using DevExpress DevExtreme v25, • Implementing Azure-native solutions (App Services, Azure SQL, Storage), • Developing and maintaining Infrastructure as Code using Bicep, • Integrating Azure Entra ID for authentication and role-based access control, • Managing secure secrets via Azure Key Vault, • Writing and maintaining unit and frontend tests (NUnit and ViTest), • Contributing to CI/CD pipeline improvements and secure deployment practices, • Participating in architecture and technical design reviews Core technologies: • .NET 10 / ASP.NET Core, • Angular 21 (mandatory), • DevExpress DevExtreme v25 (mandatory), • Entity Framework Core, • TypeScript / RxJS, • Microsoft Azure, • Azure Entra ID, • Azure Key Vault, • Bicep (Infrastructure as Code), • CI/CD pipelines What They're Looking For • 5+ years' commercial software development experience, • Strong expertise in modern .NET, • Proven experience with modern Angular (15+ ideally), • Hands-on Azure architecture and deployment experience, • Experience implementing Infrastructure as Code (Bicep preferred), • Experience integrating Azure Entra ID authentication, • Strong understanding of RESTful API design, • Experience implementing CI/CD pipelines Why This Role? This is a standout opportunity for a senior engineer who values secure architecture, clean code, and modern Azure cloud engineering. You'll join a mature technical environment with clearly defined standards, strong DevOps practices, and a genuine commitment to security and scalability. If you're open to a confidential discussion, apply now and I'll be in touch. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website. JBRP1_UKTJ

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

DevOps Engineer - Glasgow - Inside IR35 - Hybrid. Prior experience developing tools for build automation, version control (Bitbucket, Github), issue tracking (Jira), continuous integration (Jenkins, Azure DevOps, Github Actions), automated testing, or deployment automation.

A dynamic technology company in Glasgow is seeking a Forward Deployment Engineer to help customers deploy and configure their platform in real-world environments.

A leading financial institution in Scotland is seeking an AI Engineer to join their GenAI team.The role involves designing and deploying AI solutions that drive significant business outcomes.Candidates should have expertise in Python, AI frameworks, and cloud deployment on AWS.Responsibilities inclu

What you will be doing**As a Forward Deployment Engineer, you’ll work directly with customers to deploy, configure, and adapt Streamba’s platform within their real-world environments. You’ll work hands-on across deployments, integrations, and configuration, collaborating closely with Streamba�

Contract Embedded DevOps Engineer 12 month contract | Glasgow - 3 days onsite | Up to £80ph - Inside IR35 We're recruiting for a senior DevOps Engineer to support a growing engineering team working on embedded software and connected hardware systems. This is a hands-on role focused on CI/CD, build and release pipelines, tooling, and test infrastructure for embedded products. You'll work closely with Software, QA and Hardware teams to improve and maintain a robust delivery environment. This opportunity would suit someone with experience in embedded systems, electronics-led environments, hardware-connected software, or HIL / hardware-based test setups. The Role You'll be responsible for supporting and improving the DevOps and tooling environment that underpins embedded software delivery. Key responsibilities Own and improve the CI/CD environment for embedded software delivery Maintain and enhance GitHub Actions pipelines for build, test, release and deployment Support build, packaging, artifact management and release processes Help evolve tooling following a migration from Jenkins to GitHub Support deployment and testing across hardware rigs / Raspberry Pi-based environments Work closely with QA and engineering teams on test automation and build reliability Improve code quality, pipeline stability and release traceability Contribute to future improvements across cloud, virtualised or scalable infrastructureWhat We're Looking For Strong background in DevOps, Build & Release Engineering, or CI/CD Experience supporting embedded software, firmware, or electronics-based products Strong hands-on experience with GitHub Actions Experience building and maintaining CI/CD pipelines Good experience with build tooling, release tooling and artifact management Strong scripting / automation capability Experience working closely with Software Engineers and QA teams Understanding of Hardware-in-the-Loop (HIL) or physical device-based test environments would be highly beneficial Exposure to AWS / cloud infrastructure would be advantageousTech Environment GitHub / GitHub Actions Embedded software / electronic devices Raspberry Pi test infrastructure Jenkins to GitHub migration Build, release and quality tooling Potential AWS / virtualised environments This is a great opportunity to join a team where the DevOps capability is already established, but now needs a strong engineer to help support, improve and scale it as the wider engineering function grows. If you have experience in DevOps for embedded systems, hardware-linked software environments, electronics products, or HIL testing infrastructure, we are keen to hear from you

Digital / GPS / HFR Service Fitter We are seeking a skilled and motivated Digital Engineer to join our technical team. The successful candidate will be responsible for the installation, calibration, maintenance, and troubleshooting of GPS and machine control systems across our fleet. This role is crucial in ensuring the precision and efficiency of earthmoving operations and maintaining our commitment to delivering cutting-edge solutions to our clients. Key Responsibilities: * Install, configure, and calibrate GPS and machine control systems (e.g., Trimble, Topcon, Leica) on various plant machinery. * Provide technical support and troubleshooting services to clients and operators on-site and remotely. * Conduct regular maintenance checks on GPS systems to ensure optimal performance and accuracy. * Work closely with site managers, surveyors, and machine operators to ensure GPS solutions meet site specifications. * Train plant operators and staff on the use of machine control systems and software. * Maintain accurate records of installations, calibrations, and service reports. * Stay up-to-date with the latest developments in machine control and positioning technologies. * Collaborate with the operations and hire desk teams to ensure timely deployment of GPS-equipped machines. * Handling data and installing DTM files to machines and preparing and checking customer information using CAD office. Creating avoidance zones and training in the use of file import and export for machine GPS * Establishing site control, installations of GPS Base Stations, Localisation of GPS machinery, carryout site checks using Leica and Trimble Total Station and GPS Survey equipment Requirements: · Establishing site control, installations of GPS Base Stations, Localisation of GPS machinery, carryout site checks using Leica and Trimble Total Station and GPS Survey equipment · Proven experience with GPS machine control systems (Trimble, Topcon, or Leica preferred). · Excellent troubleshooting and diagnostic skills. · Experience with Survey Equipment, GPS, Lasers Total Stations and Detection equipment · Great attitude, must be willing to listen and learn. · Strong communication and interpersonal skills. · Willingness to travel to sites across the UK as needed. · Full UK driving license. Desirable: * Relevant engineering or surveying qualifications. * Experience with telematics and data management platforms. * CSCS card or equivalent construction site accreditation. What We Offer: * Opportunity to work with industry-leading technology. * Training and career development opportunities. * A dynamic and supportive work environment. About Flannery Plant Hire: Flannery Plant Hire is a leading provider of operated and self-drive plant equipment, with a strong reputation for delivering high-quality, reliable machinery to the UK’s largest infrastructure and construction projects. We are proud to be at the forefront of innovation and sustainability in plant hire, embracing the latest technology to support our clients and operators

Staff Software Engineer Glasgow (2-3 days p/w on site) £80,000 p/a Overview An excellent opportunity to join a well-regarded Ed-Tech organisation with a strong presence in Glasgow. You will have the opportunity to shape and build solutions used by students across the globe. Build and evolve a cloud-based product used at meaningful scale. This is a senior, hands-on role for an engineer who enjoys shaping technical direction, raising engineering standards, and helping multiple squads deliver reliably without stepping away from the code. Responsibilities Design, build and maintain production services and customer-facing features, from early discovery through to release and operation. Provide technical leadership across multiple squads: clarify goals, reduce ambiguity and help teams converge on pragmatic solutions. Partner closely with Product and Design to turn outcomes into shippable increments, keeping communication crisp and expectations aligned. Set a high bar for engineering quality: architecture, code health, testing discipline, observability and operational readiness. Work with reliability/operations colleagues to improve uptime, performance, incident response and capacity planning. Own and improve delivery ways of working: estimation approaches, planning, prioritisation, and predictable execution against epics. Continuously modernise existing systems; simplify, automate, and remove friction to increase delivery speed. Contribute to the technical roadmap for your domain, balancing near-term delivery with longer-term platform evolution. Collaborate on cross-cutting initiatives such as security, data and applied AI where they improve product outcomes. Required Experience Significant commercial software engineering experience, operating at a senior/staff level. Comfort leading through influence: you can align teams, coach engineers, and drive decisions without relying on hierarchy. A strong sense of ownership and follow-through. You should be comfortable being accountable for outcomes, not just tasks. A bias for action paired with good judgement: you can move quickly while managing risk in production systems. Evidence of improving how teams work (quality, delivery, reliability, developer experience) and challenging the status quo constructively. Clear communicator who can tailor detail for different audiences: engineers, product partners and leadership. Deep capability in at least one mainstream programming language and ecosystem, with the range to be effective in others. Practical experience designing and running cloud-native services, including infrastructure, deployment and operational tooling. Confidence diagnosing complex issues in distributed systems (performance, reliability, tricky production defects). Strong grasp of data storage and access patterns, with hands-on experience across relational and/or NoSQL databases. Comfort working with modern engineering practices: automated testing, code review, CI/CD, observability and secure-by-design thinking. Curiosity about emerging approaches (including applied and agentic AI) and the ability to adopt them responsibly where they add value. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you. TPBN1_UKTJ

Telecommunications Field Engineer Reports to: Project Manager (PM), Assistant Project Manager (APM), Senior Delivery Manager (SDM) Location: UK-wide (travel required) Type: Contract Key Objectives / Deliverables The successful candidate will be technically proficient in all aspects of telecom installation, configuration, integration, call testing, troubleshooting, and maintenance across operator networks in the UK. You will work on multi-technology, multi-vendor systems, ensuring professional delivery and flexibility when engaging with both internal teams and external stakeholders. Operational Experience Essential: · Proven experience working within a UK Mobile Network Operator environment. · Highly experienced in proactive maintenance on multi-customer, multi-technology networks (e.g., Ericsson, VMO2, EE, Vodafone). · 2+ years of commissioning and integration experience (within the last 5 years) on Ericsson and/or Nokia systems. · 6+ months of troubleshooting or technical investigation experience (within the last 2 years) on Ericsson and/or Nokia. · Skilled across 2G, 3G, 4G, and 5G radio technologies, including transmission networks. · Strong collaboration with 3rd parties, customers, and site providers to ensure successful task completion. · Accurate completion of all Hand Over Packs (HOPs) and site completion documentation within agreed SLAs. Responsibilities: · Attend sites as scheduled, fully prepared with correct equipment and materials. · Work independently or as part of a small team. · Starlink installation, decommissioning, and maintenance · Transmission migration activities · CSG/Router installation · Fibre installation and routing · Rack installation and deployment · Installation, commissioning, and integration of transmission equipment · Router and pre-aggregates installation · Patching and labelling · Joint site visits and fault finding · Site surveys and migrations · AC/DC electrical installation · BTS, BSC, and Core installation and optimisation · Rigging, router switch installation/swapping · Ericsson installations · VMO2 transmission enablement, DC and space enablement · Complete all required documentation, including HOPs, Completion Certificates, Surveys, Health & Safety (H&S), and CDM records. · Adhere to all operational and safety procedures at all times. · Collect and manage required data and tools for task completion. · Perform installation, commissioning, configuration, integration, call testing, troubleshooting, and resolution activities. · Ensure all assigned PPE, test equipment, and tools are maintained, functional, and calibrated. Person Specification Essential: · Must have UK work experience. · Full UK driving licence. · Own car/van, laptop, test phone, and tools. · Strong team player, capable of working independently. · Excellent attention to detail and problem-solving ability. · Positive, can-do attitude with flexibility to work nationwide. · Willingness to work outside normal hours when required. Academic & Technical Background Essential: · Background in Telecommunications or a closely related field. · Valid Health & Safety certifications for street works and rooftop access, including: · TEL003 Certification (or willingness to obtain within 2 weeks of joining) · Emergency First Aid · RF Awareness · Manual Handling · Asbestos Awareness · Rooftop Access (Fixed Ladder) · NRSWA Streetworks Certification Desirable: · BTEC ONC/OND (or equivalent) in a relevant technical subject. · DC and Electrical Awareness certification

Senior Fullstack Software Engineer UK Remote Are you ready to put your technical expertise to work in transforming services that directly improve lives across the UK? Our client provides emergency accommodation and vital support for some of the countrys most vulnerable people including survivors of domestic abuse, refugees, and individuals seeking asylum. Their mission is to create safe environments and deliver innovative solutions that protect and empower those most in need. They are now looking for a Senior Software Engineerto take a key role in rebuilding and modernising their software landscape. This is a unique opportunity to shape critical systems that underpin essential frontline services. Whats on Offer Fully remote within the UK Salary up to £80,000 33 days annual leave Pension & healthcare A role with genuine social impact A supportive, mission-driven workplace Professional development and clear career progression Key Responsibilities Lead the design, development, and delivery of modern, web-based applications Improve codebases, development practices, and deployment processes Mentor engineers and foster a culture of collaboration and high performance Build APIs, scalable architectures, and cloud-based platforms Work within Agile and DevOps environments to deliver robust solutions Partner with technical and non-technical stakeholders to design effective systems About You Extensive experience with C#, .NET, and SQL Strong expertise in Azure and Azure cloud adoption frameworks Proven track record in API developmentand modern system architectures At least 3 years experience in a leadership role Strong problem-solving skills and ability to perform under pressure Hands-on experience with CI/CD pipelines, version control, testing, and code reviews Excellent communication skills, able to work effectively with diverse teams Background in Agile methodologies Eligible for SC Clearance If youre a seasoned Senior Software Engineer passionate about building scalable solutions, and want your skills to make a real difference, wed love to hear from you. Due to close links to the UK HomeOffice our client will require all successful candidates to go through SC Clearance. Candidates must be UK citizens, have SettledStatus or ILR. Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry. TPBN1_UKTJ

As a Network Deployment Engineer, you will be on the ground in datacentres, installing, commissioning, and validating the networks that power Nscale’s GPU clusters. You’ll work directly with network gear, cabling, and racking, ensuring new deployments are delivered to specification and fully ope

A leading technology consultancy is seeking an AI Forward Deployed Engineer to bridge product and engineering teams, prototyping solutions and driving customer adoption. The role requires full-stack engineering experience and the ability to compute measurable ROI across various sectors. You will wor

A technology consultancy firm in the United Kingdom is seeking two Lead AI Engineers for a 6-month contract based in London. Successful candidates should have over 5 years of software engineering experience with proven delivery of production-grade LLM applications.