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Senior Design Verification Engineer Edinburgh Global Semiconductor Leader I am working with a world-class engineering team based in Edinburgh, developing leading-edge IP for a wide range of high-tech markets. They are looking for a Senior Design Verification Engineer. As part of the Engineering group, you will play a key role in defining and driving the adoption of advanced verification tools and methodologies, with a particular focus on AI and machine learning. This is a cross-functional role, collaborating with multiple projects and teams to accelerate the adoption of best-in-class verification practices. Key Responsibilities • Develop and support the adoption of generative AI tools to create and maintain UVM and formal verification environments, • Define methodologies and end-to-end flows to ensure AI tools are used in a consistent, efficient, and predictable manner, • Develop and deploy solutions to reduce verification debug time, • Automate documentation checks to improve quality and consistency, • Build tools and processes to support verification planning, • Optimise UVM regression flows through enhanced automation and machine learning techniques, • Maintain and evolve best practices for Functional Safety Verification, Gate-Level Simulation, and Low Power Verification Qualifications & Required Skills • Degree in Electrical/Electronic Engineering, Microelectronics, or a related discipline, • 4+ years’ experience in the microelectronics/EDA industry, • Proficiency in SystemVerilog and assertions, • Hands-on experience with metric-driven verification, • Strong knowledge of constrained-random verification techniques (e.g. UVM) Additional Skills (Desirable) • Experience with formal verification, • Proficiency in scripting languages such as Python, • Knowledge of AI agent development What’s on Offer As a leading semiconductor company, you can expect a highly competitive compensation package, including salary, RSUs, a bonus scheme, and an employee stock purchase plan. Additional benefits include wellness days, as well as private medical and dental coverage. Because of the experience level of the role, only candidates in the UK and Ireland can be considered. Visa sponsorship can be given for Engineers already living and working in the uK. For more information, please contact Rachel Mason at IC Resources

Lead Data Engineer UK Remote | £75,000 to £90,000 This is a rare opportunity to step into a Lead Data Engineer role within a growing, boutique consulting environment where greenfield delivery and real ownership are central to the work. You will combine hands on technical contribution with people leadership, shaping modern data platforms and processes for mid market organisations undergoing genuine digital transformation. The Company They are a specialist consulting firm focused on digital transformation across data, analytics and technology. Operating as a hands on delivery partner, they embed consultants directly into client squads to modernise data platforms and ways of working from the ground up. Their work spans end to end delivery, selling professional services rather than software products, with a strong emphasis on quality, autonomy and work life balance. The Role • Lead the design and delivery of greenfield data platforms and analytics solutions across the full data lifecycle, • Balance hands on technical work with leadership responsibilities, spending time both building and guiding, • Manage and support a team of data engineers, providing direction, feedback and development support, • Own projects end to end, from initial requirements through to production delivery, • Work closely with stakeholders and clients, confidently challenging requirements and shaping best practice, • Design data models and business processes that support scalable analytics and reporting Your Skills and Experience • Strong commercial experience as a Data Engineer with solid foundations in SQL and dimensional modelling, • Experience working with Snowflake or similar cloud data warehouses such as BigQuery, • Good Python capability, including orchestration tools such as Airflow, • Proven experience building and managing data ingestion pipelines, • Cloud experience within AWS or GCP environments, • Exposure to infrastructure as code tools such as Terraform, • Confidence leading people and projects, with clear communication and stakeholder management skills, • Comfortable operating in greenfield environments with a high degree of autonomy What They Offer • A modern, evolving tech stack with increasing use of AI driven features, • Clear scope to influence technical direction and ways of working, • Strong emphasis on work life balance and sustainable delivery, • The opportunity to grow alongside the business in a senior leadership capacity How to Apply If you are a Lead Data Engineer looking for a role that blends technical impact with people leadership in a genuinely greenfield setting, apply now to learn more.

We are seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required Qualifications and Skills: · Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. · Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. · Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. · Proficiency in C/C++, with additional experience in Python for research prototyping. · Solid grounding in systems research methodology, distributed algorithms, and profiling tools. · Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). · Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters. · Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems.

Firmware & Electronics Test Engineer Location: Edinburgh Salary: £45,000 About the Company KO2’s client is a small but rapidly growing technology business based in Edinburgh, specialising in the design and development of innovative electronic devices for the IoT industry. With a strong pipeline of new products and increasing demand, they are expanding their engineering team and looking for a talented Firmware & Electronics Test Engineer to support their next phase of growth. The Role This is a hands-on role where you will play a key part in ensuring the reliability, performance, and quality of cutting-edge IoT devices. You’ll work closely with firmware, hardware, and product teams to develop and execute robust test strategies across the full product lifecycle. Key Responsibilities • Develop and implement test plans for embedded firmware and electronic hardware, • Design automated and manual test systems for IoT devices, • Perform functional, regression, and system-level testing, • Debug and diagnose faults across firmware and hardware interfaces, • Collaborate with design engineers to improve testability and product quality, • Document test procedures, results, and validation reports, • Support continuous integration and automated testing environments Skills & Experience Required • Experience testing embedded systems (firmware + electronics), • Strong understanding of microcontrollers and embedded C/C++, • Familiarity with lab equipment (oscilloscopes, logic analysers, etc.), • Experience with test automation frameworks or scripting (Python or similar), • Strong problem-solving and debugging skills Desirable Skills • Experience with wireless connected devices, • Understanding of hardware design principles What’s on Offer • Opportunity to join a fast-growing, innovative company, • Work on cutting-edge products from concept to production, • Collaborative and agile engineering environment, • Competitive salary and benefits package, • Real scope for career progression as the company scales Apply now or contact KO2 Recruitment for more information.

Software Engineer (Backend-Focused) 12‑Month Fixed Term Contract Location: Edinburgh (hybrid/remote UK) Eligibility: Right to work in the UK required The Opportunity We’re working with a small, high‑impact data science organisation operating at the intersection of software engineering, satellite data and climate research. They build cloud‑hosted tools and platforms that help scientists and decision‑makers better understand environmental change. This is a great opportunity for an established Software Engineer who enjoys working on meaningful problems, contributing across the stack, and collaborating closely with data scientists and researchers. The Role You’ll join a small engineering team and work closely with data scientists, researchers, and external partners. The role is primarily backend‑focused, with opportunities to contribute to frontend development where of interest. Responsibilities include: • Designing, developing, maintaining and supporting cloud‑hosted applications, • Implementing algorithms defined by data science and research teams, • Developing and maintaining internal and external web services and APIs, • Working with existing codebases and contributing to ongoing improvements, • Participating in code reviews and CI/CD processes, • Supporting cloud infrastructure and some internal IT systems, • Managing your own workload and contributing flexibly across a small team About You You’re a pragmatic, curious engineer who enjoys learning new domains and taking ownership of your work. Essential experience: • 2+ years’ professional experience in a software engineering role, • Strong Python development skills, • Experience with relational and/or NoSQL databases, • Designing and implementing REST APIs, • Working with large or established codebases, • Version control and CI/CD using Git, • Able to work independently and collaboratively in a small team Desirable (but not required): • Experience with Docker and modern CI/CD tooling, • JavaScript / TypeScript (e.g. React, Next.js), • Cloud platforms (particularly GCP or similar), • Linux systems administration or automation tools, • High‑performance or large‑scale data processing, • Background in scientific, geospatial or sensor‑based data (interest is more important than prior experience) Working Environment & Benefits • Flexible and hybrid working, • Edinburgh office with remote options, • Opportunity to work on projects with real‑world environmental impact

Senior Automation Engineer Location: Outskirts of Edinburgh (flexible work pattern and compressed week) Contract: 12 Month FTC Hours: 37 hours per week Please note this role will require BPSS clearance and at least 3 years of UK residency. Overview We are working with a leading advanced manufacturing and defence organisation seeking a Senior Automation Engineer to deliver innovative automation solutions across complex production environments. This role offers the opportunity to lead end-to-end automation projects, driving improvements in efficiency, quality, and safety within highly regulated industries. The Role You will be responsible for the design, development, and implementation of automated manufacturing systems, supporting projects from concept through to commissioning. In this role you will be responsible for making automated improvements to an outdated manufacturing process, demonstrated experience of time and money savings would be necessary. Key Responsibilities • Design and develop automated systems including PLCs, robotics, and SCADA, • Lead full lifecycle automation projects to improve cycle time, cost, and safety, • Program and optimise PLCs (Siemens, Allen Bradley), robots (Fanuc, ABB, Kuka), and HMI/SCADA systems, • Commission robotic cells and assembly systems, ensuring compliance with industry standards (e.g. ISO 9001 / AS9100), • Integrate shop-floor systems with MES and ERP platforms, • Develop automated workflows and manufacturing recipes (ISA-88 / ISA-95), • Support data-driven manufacturing through KPI dashboards and reporting, • Conduct root cause analysis and drive continuous improvement Skills & Experience • Degree in Engineering (Mechanical, Electrical, Controls or similar), • Proven experience in industrial automation within manufacturing environments, • Strong knowledge of PLC programming (Siemens S7 / TIA Portal preferred) and robotics, • Experience integrating MES (e.g. Syncade, Opcenter) and ERP systems, • Familiarity with industrial communication protocols (e.g. OPC UA, Ethernet/IP), • Experience working in regulated industries such as Life Sciences, Aerospace & Defence, or FMCG Desirable • Programming/scripting skills (Python, Java, C++, PowerShell or Bash), • Experience with SQL, XML, or database systems, • Exposure to Infrastructure as Code or modern automation tooling To apply or ask any questions, please email jennyg@copello.co.uk

Join a cutting-edge verification team in Edinburgh, working on state-of-the-art automotive power ICs and embedded SoCs in a hybrid, innovative environment. Job Title: Senior Digital Verification Engineer Location: Edinburgh, Scotland (Hybrid) Salary: Negotiable and competitive The Opportunity We are seeking a Senior Digital Verification Engineer to join our Design Centre in Edinburgh. You will be part of a new verification team working on gate-driver ICs and embedded SoCs for advanced automotive power applications. This is an exciting chance to work on state-of-the-art microelectronics in a collaborative, innovative environment. Key Responsibilities • Develop verification plans from microarchitecture specifications, • Create and maintain SystemVerilog/UVM verification environments, • Define and execute test plans, UVM-SV test environments, and functional coverage, • Analyze results, enhance coverage, and debug unexpected behavior, • Run and maintain regression suites, • Lead or participate in verification reviews, • Collaborate with System Engineering on requirements, • Build mixed-signal testbenches, checkers, and bus-functional models, • Apply constrained random verification methodologies, • Track deliverables and ensure on-time, high-quality execution Qualifications & Experience • Bachelor’s or higher in Electrical/Electronic Engineering (or equivalent), • Strong experience in SystemVerilog, UVM/OVM, Specman, Verilog, C/C++, ASM, TCL/TK, Python, • Knowledge of embedded SoC design and verification lifecycle, • Familiarity with CPU, memory, and I/O microarchitectures, • Experience with mixed-signal testbenches, behavioral models, constrained random verification, and bus-functional model development, • Ability to define tasks, track progress, and deliver quality results Skills & Attributes • Strong analytical and debugging skills, • Detail-oriented and quality-focused, • Collaborative, team-oriented, with strong communication skills If you are interested, please reach out to have a conversation and share your CV at tee@microtech-global.com

At ALMIS International, one of the UK’s most impactful FinTech’s, we develop industry-leading software solutions used by over 60 banking institutions. As part of our continued growth we are searching for a dynamic and results-driven Senior Cloud Engineer to join the IT & Cloud Team and take up a leading role in developing and supporting the ALMIS One Cloud solution. The role reports to the Head of IT & Cloud. The ideal candidate will be strategically minded, an ambitious self-starter with the ability to build trust through performance and effective communication with cross-departmental subject matter experts. About the Role As Senior Cloud Engineer, you will: · Design, build, and maintain Azure‑based infrastructure that underpins ALMIS’s cloud‑hosted SaaS platform and internal systems, ensuring solutions are scalable, resilient, secure, and cost‑effective. · Contribute to cloud architecture and solution design in collaboration with the Head of IT & Cloud and software development teams. · Implement and maintain Infrastructure as Code and automated deployment, enabling consistent, repeatable, and reliable platform delivery. · Ensure the SaaS platform is available, recoverable, observable, and supportable, and provide 3rd‑line support for complex cloud and platform issues, including incident resolution and root cause analysis. · Operate and continuously improve the platform with a focus on reliability, performance, security, and cost optimisation. · Implement and manage Azure security and networking best practices, including identity, RBAC, monitoring, and vulnerability management, ensuring compliance with ISO 27001 and ALMIS policies. · Maintain production‑grade documentation, technical controls, and evidence to support audits, compliance activities, and operational readiness. · Work closely with development teams to ensure the cloud platform supports reliable and fast releases and aligns with modern DevOps practices. · Collaborate with ALMIS’ Managed Service Provider and cloud suppliers to operate and enhance services, supporting the evaluation of new capabilities, licensing, renewals, and supplier performance alongside the Head of IT & Cloud. · Stay current with relevant cloud technologies, frameworks, and best practices, and share knowledge through informal mentoring and collaboration within the engineering team. Essential Skills & Experience · Degree in IT, Computer Science, or a related discipline, or equivalent practical experience. · 3+ years’ experience in a Senior Cloud Engineer or similar role, supporting production cloud platforms on Azure, preferably in a SaaS context. · Strong hands‑on experience designing, implementing, and operating Microsoft Azure environments. · Practical experience designing, deploying and supporting Azure Virtual Desktop solutions. · Solid experience with Infrastructure as Code using Terraform and/or Bicep. · Good knowledge of Azure networking and security, including Hub‑and‑Spoke architectures, Azure Defender for Cloud, and patch and vulnerability management. · Experience implementing and supporting CI/CD pipelines using e.g. Azure DevOps. · Strong PowerShell scripting capability. · Ability to manage workload and priorities within Agile and traditional delivery approaches. · Strong written and verbal communication skills, combined with excellent analytical and problem‑solving skills. Ability to communicate complex technical issues clearly. · Collaborative approach with the ability to work effectively with internal teams and external suppliers. Desirable / Bonus Skills · Experience delivering and supporting end‑user computing platforms on Azure, including Azure Virtual Desktop and the use of tools such as Nerdio to optimise cost, automation, and operational management. · Hands‑on experience operating or supporting cloud‑hosted SaaS platforms, with a solid understanding of availability, BCDR, scalability, monitoring, security boundaries, and customer impact. · Practical experience with identity and automation technologies, including Microsoft Entra ID and Active Directory · Automation using PowerShell, Python, or low‑code tools such as Power Automate. · Relevant Microsoft Azure certification (e.g. AZ‑104 or equivalent) or demonstrable equivalent experience operating Azure environments in production · Experience designing, configuring, and supporting Microsoft 365 and endpoint management solutions, including M365 workloads (Exchange Online, SharePoint Online, Teams, OneDrive), Microsoft Intune, device compliance, conditional access, and security baseline enforcement. · Familiarity with LLM and AI platforms, such as Azure AI Foundry, GitHub Copilot, Claude Code.

Spacelabs Healthcare is advancing patient monitoring technology to improve clinical outcomes. We’re seeking a Senior Software Development Engineer in Test to join our R&D team, focused on developing automated tests for our next-generation patient monitoring platform. In this hands-on role, you’ll design and implement test automation for complex, networked medical systems. You’ll collaborate with cross-functional teams across software, hardware, systems, and verification to ensure high-quality, scalable solutions. The ideal candidate has strong experience in Python, object-oriented design, multithreading, and test automation tools, with a solid understanding of Agile and CI/CD practices. Key Responsibilities: • Design and develop test automation for embedded Linux-based patient monitoring systems, • Review requirements and contribute to test architecture and component design, • Write, debug, and document test automation code, • Collaborate with global teams and ensure timely delivery of test solutions Qualifications: • Bachelor’s degree in Computer Science, Engineering, or related field, • Software and test automation development, • Proficiency in Python and OOP, • Experience with automation tools (e.g., Squish, Selenium), CI/CD, and Agile, • Familiarity with regulated environments and medical device standards (IEC 62304, ISO 14971) is a plus NOTICE TO THIRD PARTY AGENCIES OSI Systems, Inc. and its subsidiaries (collectively “OSI”) does not accept unsolicited resumes from recruiters or employment agencies. If any person or entity, including a recruiter or agency, submits any information, including any resume or information regarding any potential candidate, without a signed agreement in place with OSI, OSI explicitly reserves the right to use such information, and pursue and/or hire such candidates, without any financial obligation to the person, recruiter or agency. Any unsolicited information or resumes, including those submitted directly to hiring managers, are considered and deemed to be the property of OSI. OSI Systems, Inc. has three operating divisions: (a) Security, providing security and inspection systems, turnkey security screening solutions and related services; (b) Healthcare, providing patient monitoring, diagnostic cardiology and anesthesia systems; and (c) Optoelectronics and Manufacturing, providing specialized electronic components and electronic manufacturing services for original equipment manufacturers with applications in the defense, aerospace, medical and industrial markets, among others.

Systems Research Engineer - AI Infrastructure / Distributed Systems We're partnered with a leading advanced technology research centre in the UK, focused on building next-generation AI-native infrastructure. They're seeking a Systems Research Engineer for AI Infrastructure and Distributed Systems to join them onsite in Edinburgh on a permanent basis. As large language models continue to reshape the software stack, this team is pioneering scalable, high-performance systems for training and serving AI at data centre scale. Sitting at the intersection of cutting-edge research and real-world deployment, the group transforms novel system architectures into production-ready technologies that will define the future of distributed AI. This is an excellent opportunity for engineers with a strong systems background who want to work on complex, research-driven challenges in distributed infrastructure, AI serving, and performance optimisation. The Role You will design and build core components of distributed AI systems, working across infrastructure layers to improve scalability, efficiency, and performance of large-scale model serving environments. Key Responsibilities: Distributed Systems Engineering • Design, implement, and evaluate distributed system components for AI and data-intensive workloads, • Build scalable infrastructure across heterogeneous environments (CPU, GPU, accelerators), • Develop advanced scheduling and serving systems for large-scale AI workloads Performance Optimisation • Profile and optimise large-scale inference pipelines, • Improve key-value cache efficiency and memory scheduling, • Identify bottlenecks and enhance system scalability using systematic performance analysis AI Serving Infrastructure • Develop low-latency, multi-tenant, fault-tolerant model serving systems, • Work on areas such as cache sharing, data locality, and cluster scheduling, • Prototype and evaluate next-generation inference architectures Research & Innovation • Contribute to cutting-edge systems and ML research, • Publish at leading conferences and drive internal adoption of new approaches Collaboration • Work closely with global research and engineering teams, • Communicate technical findings and system insights clearly Requirements • BSc or MSc in Computer Science, Electrical Engineering, or related field, • Strong fundamentals in distributed systems and operating systems, • Experience with machine learning systems and AI inference infrastructure, • Hands-on experience with LLM serving frameworks, • Strong programming skills in C/C++, • Python for prototyping and experimentation, • Experience with performance profiling and optimisation tools, • Solid understanding of distributed algorithms Nice to Have • PhD in systems, distributed computing, or AI infrastructure, • Publications in top-tier systems or ML conferences, • Experience with load balancing, fault tolerance, and resource scheduling, • Background in large-scale cloud or AI infrastructure environments Why Apply? • Work on cutting-edge AI infrastructure challenges at scale, • Bridge research and real-world system deployment, • Collaborate with leading experts in distributed systems and AI, • Shape the future of large-scale AI systems In accordance with local employment laws, applicants must have current, valid authorisation to work in the UK at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for the UK cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on smouland@eu-recruit.com By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (_)

You'll work alongside two experienced AI Engineers, owning the core engineering platform that underpins model delivery. Python Engineer - Outside IR35 - Edinburgh (Hybrid). A Harvey Nash client is seeking a strong Python Engineer to support the build and operation of a shared AI platform focused on

Systems Research Engineer | C++ Systems Engineering One of the largest telecommunications companies in the world is looking for an experienced researcher to join the company in Edinburgh. The Vision 🚀 We are currently scaling a world-class research team in Edinburgh to redefine the foundational software stack for the LLM era. As AI transitions from experimental to "agentic" and "AI-native" infrastructure, we are building the super-node clusters and distributed architectures that will power the next generation of global data centres. This is a unique hybrid role positioned at the intersection of academic-grade systems research and industrial-scale engineering. You won’t just be writing papers; you’ll be prototyping and deploying the frameworks that manage GPU/NPU clusters at a massive scale. The Technical Challenge 🛠️ As a Systems Research Engineer, you will tackle the "bottleneck" problems of modern AI: • Distributed Systems R&D: Architecting components for CPU, GPU, and NPU clusters with a focus on modularity and extreme scalability., • Performance Engineering: In-depth profiling of large-scale inference pipelines, specifically focusing on KV cache management and heterogeneous memory scheduling., • AI Serving: Optimising high-throughput frameworks (vLLM, Ray Serve, PyTorch Distributed) to ensure low-latency, multi-tenant performance., • Research Leadership: Contributing to top-tier venues (OSDI, NSDI, EuroSys, MLSys) and driving those innovations into real-world production. Who You Are 🧬 We are looking for "systems-first" thinkers—engineers who understand what happens under the hood of a cluster. Required Experience: • Education: A Bachelor’s or Master’s in CS, EE, or a related field (PhD highly preferred)., • The Stack: Strong proficiency in C/C++ for systems work, with Python for rapid prototyping., • Expertise: Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM) and distributed algorithms., • Mindset: A solid grounding in systems research methodology and performance profiling tools. The "Value Add" (Desired): • A PhD focused on distributed computing or AI infrastructure., • A track record of publications at major conferences (NeurIPS, ICML, ICLR, etc.)., • Deep knowledge of load balancing, fault tolerance, and resource orchestration in massive AI clusters. Why Join This Team? 🌍 • Impact: Work on one of the largest R&D footprints globally., • Collaboration: Partner with senior architects and global research teams to solve problems that don't have "off-the-shelf" solutions yet., • Location: Based in the heart of Edinburgh’s thriving tech ecosystem. Interested? Apply directly through LinkedIn, or send your CV to george@eu-recruit.com By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)

DevOps Engineer This hybrid role is based in Edinburgh Why Bright Ascension? Join Bright Ascension and be part of a fast-growing, innovative company transforming how software is built for the space industry. Our technology is used by organisations around the world from universities and space agencies to pioneering start-ups and commercial space companies helping them design and operate space systems faster, more efficiently, and more reliably. Innovation drives everything we do, and our people are at the heart of that success. Through our employee ownership model, everyone has a voice and a genuine stake in the company’s future. With offices in Dundee, Edinburgh, and Bristol and a team of more than 50 talented professionals, we’re entering an exciting phase of growth and expansion. It’s a fantastic time to join us and help shape the future of space technology while building your career in one of the most exciting industries on Earth. We are looking for an experienced and motivated DevOps Engineer. This will be a key role in supporting the delivery of a diverse range of software products and bespoke software services including embedded firmware, developer kits, and scalable cloud-based web applications, as we approach our next exciting period of growth. As a key member of our team, you will design, maintain, and report on the effectiveness of automated build and release pipelines, deploy reliable and secure test environments, and boost developer productivity by creating reusable, well-documented pipeline configuration. We see this role as being full time. Ideally, we would like this role to be based in Edinburgh on a hybrid basis to allow for regular interaction with the wider business and colleagues in other departments. We are at a very exciting time in our ambitious growth plans and have fantastic opportunities for talented individuals to join our team over the next 12 months. What you will do As a member of the team your key responsibilities would be: • Build, test and deploy infrastructure and applications using CI/CD and Infrastructure-as-Code technologies, • Work closely with our engineering teams to understand their requirements and how they build, test and deploy their software to continuously improve quality and accelerate the pace of development, • Set up and maintain environments for both manual and automated testing, ensuring stability, observability and security best practices, including liaising with customers when deploying to customer infrastructure, • Define, monitor and report on DORA metrics Essential skills and experience We see experience with the following as essential to the job: • Distributed version control systems (Git, Mercurial etc.), • Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps etc.), • Strong scripting ability (e.g. Python, Shell, PowerShell), • OCI container build, management and orchestration (Docker, Podman, Kubernetes, LXC etc.), • Artifact and dependency management and deployment, • Familiarity with networking fundamentals including DNS, IP, firewalls and basic network troubleshooting including VPN configuration Personal skills We're especially looking for someone who: • Enjoys problem solving in a range of programming languages and has an interest in learning new languages, frameworks and build systems, • Works well both independently and in a team as part of a fast-paced technical environment, • Possesses strong verbal and written communication skills, • Is consistently curious, interested in learning new skills and open to new ideas and ways of working Desirable skills and experience This is a wish list and we don’t expect candidates to have experience with everything listed here. We know that experience with specific systems, tools and languages is transferable. We are looking for someone with a broad range of experience who can analyse requirements, select the most suitable tool for the job, adapt to change and is self-motivated to direct their own learning and development. • Infrastructure-as-Code technologies such as Pulumi, Terraform or Cloud-Config, • Configuration management tools such as Chef, Puppet, Ansible or Salt, • Setup and configuration of artifact repositories and package management such as Artifactory, Nexus, Maven, Docker registries or PyPI repositories, • Building reporting dashboards for code quality, test coverage, pipeline performance and release metrics, • Automated testing frameworks including unit, integration and hardware-in-loop testing, • Monitoring and reporting tools, time-series databases and Grafana, • Linux server administration, • Experience with cloud deployment and containerisation technologies, • Secure pipeline design including secrets management, code signing, SBOM and supply-chain security What we can offer you • A highly competitive salary depending on experience with regular reviews, • A fantastic opportunity to join a growing, innovative, employee-centred business pushing boundaries in the space industry, • Flexible hours and hybrid working enabling you to create your ideal work life balance, • 36 days paid holiday per annum, • 6% employer pension contribution, • Enhanced Company Sick Pay and Long-Term Sickness cover, • Health Cash Plan covering dental, physio and optical costs, • Life Assurance cover (4x salary), • Employee ownership through our Employee Benefit Trust, • Enhanced maternity, paternity and adoption pay, • Opportunities for international travel for exhibitions and trade shows, • Investment in your professional development including attendance at relevant events and conferences, • Company events and regular activities for social engagement and team building, • An open, supportive and inclusive environment where you can explore ideas and make a real impact on the product and business Our values • A fantastic opportunity to join a growing, innovative, employee-centred business pushing boundaries in the space industry., • Flexible hours and hybrid working., • 36 days paid holiday per year., • 6% employer pension contribution., • Enhanced Company Sick Pay and Long-Term Sickness cover., • Health Cash Plan covering dental, physio, and optical costs., • Life Assurance cover (x4 salary)., • Employee ownership through our Employee Benefit Trust., • Enhanced maternity, paternity, and adoption pay., • Opportunities for international travel for exhibitions and trade shows., • Investment in skill development and access to relevant events and conferences., • Company events and activities for social engagement and team building., • An open, supportive, inclusive environment where you can explore ideas and make a meaningful impact. Our Values Our values underpin everything we do and guide how we work, collaborate, and grow: • Passion & Innovation – Enjoy what you do and have fun. Be curious and fearless. Unconventional ideas and passion drive true innovation., • Teamwork & Collaboration – Share knowledge, start a dialogue, and succeed together. Success comes through collaboration and support., • Respect & Integrity – Recognise differences, value opinions, and act with integrity. High standards and respect build trust and reputation. Any additional criteria and information • Security clearance eligibility may be required depending on project assignments, • An enthusiasm for the space sector and an interest in contributing to the next generation of satellite‑software technologies will be advantageous All applicants must be UK based and have the right to work in the UK. We are working with trusted recruitment partners. No agency enquiries please. Read more: _

Client: Our client a leading Multinational Semiconductor Company requires Lead Digital Design Verification Engineer for role based in Edinburgh, Scotland. You will be required onsite 4 days per week. Role: You will be responsible for defining and supporting the adoption of cutting-edge verification tools and methodologies with a focus on AI and Machine Learning. You will have a horizontal role working with multiple projects and teams to accelerate adoption of latest verification best practices. Responsibilities: • Develop and support adoption of generative AI tools to create and update, UVM and Formal verification environments, • Develop methodology guidance and end to end flows to ensure AI tools used in a consistent, efficient and predictable way, • Develop and roll out solutions that reduce verification debug time, • Automate documentation checking to improve quality and consistency, • Build tools and processes to support verification planning, • Optimise UVM regressions through improved automation and machine learning, • Maintain and develop best practices for Functional Safety Verification, Gate Level Simulation and Low Power Verification, • Maintain and improve design review checklists and quality documentation Education: • Degree in Electrical/Electronic Engineering, Microelectronics, or a related discipline Experience: • 4+ years experience in the microelectronics/EDA industry, • Proficiency in System Verilog and assertions, • Hands-on experience with Metric Driven Verification (MDV), • Strong knowledge of constrained-random verification techniques (e.g. UVM), • Excellent spoken and written English, • Self-motivated, with strong planning, interpersonal, and communication skills Additional Skills/Preferences: • Formal verification experience and related applications, • Proficiency with scripting languages (e.g. Python), • Knowledge of AI agent development (tools, concepts, and infrastructure), • Methodology development and change management experience, • Familiarity with front-end design tools (e.g. LINT, CDC analysis), • Exposure to quality processes and standards (e.g. ISO 9001, ISO 26262) Contact: For further information please contact Míchéal at Software Placements Ltd on 00353 1 5254642 or email micheal@softwareplacements.ie

The Role We are seeking a skilled AWS Lambda Developer to design and build scalable, event-driven serverless applications on the AWS Cloud. The ideal candidate will have strong experience in developing, deploying, and optimizing Lambda-based solutions while integrating with other AWS services to deliver high-performance and cost-efficient systems. Your responsibilities • Design, develop, and deploy serverless applications using AWS Lambda and related AWS services such as API Gateway, S3, DynamoDB, and Step Functions., • Write efficient, reusable, and maintainable code in languages such as Python or Java., • Optimize Lambda functions for performance, scalability, and cost efficiency., • Implement event-driven architectures and integrate with microservices and third-party APIs., • Monitor, troubleshoot, and debug applications using tools like CloudWatch and X-Ray., • Ensure security, compliance, and best practices in cloud deployments., • Automate CI/CD pipelines for seamless deployment and version control., • Collaborate with cross-functional teams to design and deliver high-quality cloud solutions. Your Profile • Strong expertise in serverless development using AWS Lambda, with proficiency in Python, • Hands-on experience with AWS ecosystem and i, • Integrations including API Gateway, DynamoDB, S3, and designing RESTful APIs and backend services, • Good understanding of cloud architecture, CI/CD pipelines, security (IAM), and monitoring (CloudWatch) for building scalable and secure solutions, • Deep understanding of core AWS services: Lambda, DynamoDB, S3, CloudFormation, IAM, CloudWatch, etc., • Experience with serverless architecture and microservices. Desirable skills/knowledge/experience: • Strong grasp of security best practices and cost optimization.

Lumino Technologies is pioneering next generation satellite optical and quantum technologies through innovative engineering solutions. We aim to enable future quantum networks and provide global connectivity in optical communications. We are looking for a quantum/optical systems engineer to join us at this exciting stage of our growth to work on a variety of projects and provide both software and hardware engineering support to the company. We are a dynamic and fast-growing SME and are looking for motivated individuals keen to grow with us and work on cutting-edge future technologies. Working with us means being part of a small, focused team where your contributions are visible and valued. You’ll be trusted to manage your own work, supported by colleagues who are approachable and highly capable in their fields. We maintain a balance between autonomy and collaboration, with regular technical discussion and knowledge sharing. The role will involve optical and quantum engineering, both from a theoretical and practical perspective, including but not limited to: • Leading optical laboratory work, hands-on and experimental preparation, and data analysis, • Producing quantum-optical system requirements, designs, and verification plans, • Performing simulation and performance assessment of satellite quantum networks, • Supporting technical proposals as necessary We are looking for applicants with the following skills and experience. Essential: • Educated to at least master's level in engineering or related discipline., • Practical experience working autonomously in an optical laboratory and running experiments., • Experience in writing SW for experimentation and/or production systems., • Background in quantum information/optics and good understanding of quantum technology systems., • Good data collection, algorithm development, and analytical skills., • Desire to work on new technologies and concepts., • Ability to work in UK immediately. Desired: • Experience in system engineering processes and project delivery., • Proficiency in Python and MATLAB. Location: • Based in Edinburgh., • Candidates must be willing to travel as required. Benefits: • Hybrid and flexible working where possible., • Competitive salary, • Company pension, • Employee share incentive schemes If you are interested in applying for this role then please contact hr@lumino-tech.co.uk with a copy of your CV and a short cover letter detailing why you would be suitable for the position.

AI Engineers & Technical AI Leaders Scotland | Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing • Building AI-enabled platforms and intelligent workflows • Working with LLMs, RAG pipelines and embedding models • Developing scalable backend services and AI integrations • Collaborating across engineering, architecture and business teams • Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements • Strong software or data engineering foundations • Experience delivering AI or AI-enabled solutions • Exposure to cloud and modern data platforms • Financial Services or regulated industry experience essential • Strong communication and stakeholder skills Open to candidates from Engineer through to Senior Manager level. If you're open to a confidential convers...

Data & AI Delivery Consultant Scotland| Hybrid We're supporting a major consulting and technology organisation delivering large-scale Data and AI transformation programmes across Financial Services. The focus is leading complex delivery programmes across data, AI, governance, transformation and enterprise change within banking environments. Hiring across multiple levels, from Delivery Managers through to senior leadership. What you'll be doing Leading large-scale data and AI transformation programmes Managing cross-functional delivery teams across business and technology Supporting implementation, remediation and advisory projects Working closely with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership capability Experience across Banking or regulated Financial Services Understanding of modern data platforms and AI transformation Strong communication, delivery and consulting skills

AWS Lambda Developer - 6-12 months - Edinburgh - £400/day We are seeking a skilled AWS Lambda Developer to join a global technology services organisation on a 12 month hybrid contract, based in Edinburgh. The successful candidate will design and build scalable, event-driven serverless applications on AWS, integrating across a broad range of cloud services to deliver high-performance and cost-efficient solutions for a major financial services client. Key Responsibilities: • Design, develop, and deploy serverless applications using AWS Lambda alongside related services including API Gateway, S3, DynamoDB, and Step Functions, • Write efficient, reusable, and maintainable code primarily in Python, • Optimise Lambda functions for performance, scalability, and cost efficiency, • Implement event-driven architectures and integrate with microservices and third-party APIs, • Monitor, troubleshoot, and debug applications using AWS CloudWatch and X-Ray, • Ensure security, compliance, and best practices across all cloud deployments, including IAM policies and access controls, • Automate CI/CD pipelines for seamless deployment and version control, • Collaborate with cross-functional teams to design and deliver high-quality cloud solutions What You Will Ideally Bring: • Strong expertise in serverless develo...

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a structured pathway into Data Analysis, designed to help you enter the industry with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official CompTIA Data+ Certification, • Official BCS accredited Business Analysis Foundation Certification, • Training in Excel, SQL, Python, Power BI, and Tableau, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the c...

Software Engineer - Fixed-Term Contract - Edinburgh (Hybrid) Ever wanted to write code that genuinely contributes to tackling climate change? We're working specialist tech company in Edinburgh whose entire mission is built around understanding and responding to the environmental challenges facing our planet. They work with major space agencies and international research partners, and they're looking for a talented Software Engineer to join them on a 12-month contract, with real potential to grow into something longer. What Is In It For You: • Salary £45,000 - £52,000, • Flexible and hybrid working in central Edinburgh, • Benefits include: Dental cover, a fitness allowance, cycle to work and much more The Opportunity: • This isn't a role where you'll be a cog in a large machine. You'll be joining a tight-knit, technically sharp team where your contributions will be visible and valued from day one., • The focus is primarily backend development, building and maintaining cloud-based services and applications, though you'll have the chance to dip into frontend work too., • If you enjoy variety, ownership, and working somewhere that actually cares about what it's building, you'll fit right in. About You:

SC Clearance Required Initial 3-month contract, with potential extension Hybrid working model with regular on-site attendance in Edinburgh (minimum 1-2 days per week).Required Strong experience in Python development and simulation modelling, particularly with SimPy or similar Discrete Event Simulati

Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + BenefitsLocation: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: • Design, build and support scalable Google Cloud infrastructure and platform solutions, • Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud, • Curate and manage enterprise-grade GCP cloud products and services, • Build automation workflows and tooling using Python scripting, • Support and optimise GKE, Kubernetes and Istio Service Mesh environments, • Audit and improve existing Terraform modules and state management, • Implement secure, policy-driven infrastructure using Sentinel / OPA, • Support CI/CD integration and deployment automation across cloud platforms, • E...

Python / Django Developer - Edinburgh Hybrid (Quarterly) We are delighted to be working with a well-established and rapidly growing technology business that operates at scale within the global hospitality sector. Our client has built a strong reputation for delivering software solutions to some of the industry's biggest names, and following continued investment and expansion, they are now looking to strengthen their engineering team with the addition of a talented Python Developer. This is a fantastic opportunity for a developer who wants more than just a job, someone looking for a role where they can genuinely influence how a product evolves, work with forward-thinking people, and grow their career within a business that's going places. What's in It for You Up to £48,000base salary, dependent on experience 15% annual bonus UK Remote working available 2 visits per quarterto the Edinburgh office to connect with the wider team 32 days paid annual leaveper year, inclusive of public holidays Clear and supported career progressionwithin a scaling business A team culture built on trust, autonomy, and genuine collaboration About the Role Our client's en...

AI Solution Architects & Technical AI Leaders Scotland | Hybrid We're supporting a major consulting and technology organisation delivering enterprise AI and data transformation programmes across Financial Services. The focus is designing scalable AI architectures that move beyond proof of concept into secure, production-grade deployment across banking environments. Hiring across multiple levels, from Solution Architects through to senior technical leadership. What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment and integration...

Senior Cyber Operations Analyst Location: Edinburgh (hybrid) Salary: Up to £75,000 + on-call compensation We are seeking an accomplished Senior Cyber Operations Analyst to join a high-performing Blue Team operating at the forefront of modern security operations. This is a technical role suited to an experienced analyst with strong engineering instincts, hands-on coding capabilities, and a deep understanding of incident response, detection engineering, and adversary tradecraft. This position includes approximately one week per month of on-call availability for high-priority incident response. Additional compensation is provided, and frequency may vary by client. We are looking for a senior analyst who brings curiosity, technical depth, and a proactive mindset. This role is ideal for someone who has likely grown from an engineering background and can write scripts (Python, Bash) to automate, enhance, and refine detection and response workflows. Experience with Splunk, SIEM operations, cloud endpoints, networks, and detection engineering will be highly advantageous. NOTE: Candidates for this role must be eligible for un-caveated UK SC Clearance. Key Responsibilities <...

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification, • Training in Python, Machine Learning, and AI systems, • Hands-on projects using real-world AI tools and technologies, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support, • Hands-on projects to build your AI portfolio Flexible, affordable, achi...

AI Engineers & Technical AI Leaders Scotland | Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing Building AI-enabled platforms and intelligent workflows Working with LLMs, RAG pipelines and embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services or regulated industry experience essential Strong communication and stakeholder skills Open to candidates from Engineer through to Senior Manager level.

AI Solution Architects & Technical AI Leaders Scotland | Hybrid We're supporting a major consulting and technology organisation delivering enterprise AI and data transformation programmes across Financial Services. The focus is designing scalable AI architectures that move beyond proof of concept into secure, production-grade deployment across banking environments. Hiring across multiple levels, from Solution Architects through to senior technical leadership. What you'll be doing • Designing AI and GenAI architecture strategies and roadmaps • Building scalable AI/ML and Agentic AI platforms • Working across LLMs, RAG, embeddings and semantic search • Supporting AI deployment, governance and integration patterns • Collaborating with engineering, data, DevOps and business teams • Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements • Experience designing enterprise AI or ML architectures • Strong understanding of cloud and modern data platforms • Exposure to scalable AI deployment and integration patterns • Financial Services or regulated industry exper...

Data & AI Delivery Consultant Scotland| Hybrid We're supporting a major consulting and technology organisation delivering large-scale Data and AI transformation programmes across Financial Services. The focus is leading complex delivery programmes across data, AI, governance, transformation and enterprise change within banking environments. Hiring across multiple levels, from Delivery Managers through to senior leadership. What you'll be doing • Leading large-scale data and AI transformation programmes • Managing cross-functional delivery teams across business and technology • Supporting implementation, remediation and advisory projects • Working closely with senior stakeholders and client leadership • Translating technical requirements into business outcomes • Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements • Experience delivering large-scale data or AI programmes • Strong stakeholder and programme leadership capability • Experience across Banking or regulated Financial Services • Understanding of modern data platforms and AI transformation • Strong communication, delivery and consulting skills Open to candidates from Manager through to Associate Director level. ...

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Vis...

Role: Python Developer Location: Edinburgh (ideally 4 days a week on site) Day Rate: £400-500 (Outside IR35) Contract Length: 3 months Clearance Requirements: SC Clearance Required. Due to the nature of the organisation SC Clearance is required for this role and those with current SC Clearance in place would be preferred due to the quick turnaround required. Overview Were supporting a high-priority UK defence programme and are looking for a Python Dashboard Developer to join a fast-moving delivery team. This is a hands-on role where youll build a tool used directly by stakeholders to support decision-making in a live programme environment. The work is iterative, high-impact, and closely aligned to real-world outcomes. Tech Environment & Responsibilities Core stack & environment • Python (core development), • Streamlit (or similar lightweight web app frameworks), • Docker (containerisation & deployment), • Structured datasets (e.g. Excel, CSV, potentially SQL-backed sources), • Agile, feedback-driven delivery environment, • Exposure to AI-assisted development tools (e.g. Claude Code)What youll be doing, • Developing a Python-based decision-support tool with a Streamlit front end, • Translating data into clear, use...

Strong expertise in Python development and simulation modelling, including experience with SimPy or other Discrete Event Simulation (DES) frameworks. Proven experience developing robust, scalable, and deployable Python applications.

Python Developer Active SC Required £500 - £525 p/d. The role will focus on developing and delivering a validated Python-based tool designed to support operational and programme-level decision-making. This is a short, delivery-focused assignment suited to someone who can move quickly, build clean

Role: Contract Python Developers. We're supporting a client in a regulated environment looking to engage an experienced Python (Django) contractor to work on a legacy system improvement project. Strong experience with Python & Django.

Strong expertise in Python development and simulation modelling, including experience with SimPy or other Discrete Event Simulation (DES) frameworks. Proven experience developing robust, scalable, and deployable Python applications.

Python Developer Active SC Required Edinburgh: 4 days per week onsite Inside IR35: £380 - £480 p/d We are seeking a Python Dashboard Developer to support a major defence maritime build programme. This is a short, delivery-focused assignment suited to someone who can move quickly, build clean and d

SC Clearance Required Initial 3-month contract, with potential extension Hybrid working model with regular on-site attendance in Edinburgh (minimum 1-2 days per week).Key Skills & Experience Required Strong experience in Python development and simulation modelling, particularly with SimPy or similar

Role: Python Developer Location: Edinburgh (ideally 4 days a week on site) Day Rate: £400-500 (Outside IR35) Contract Length: 3 months Clearance Requirements: SC Clearance Required.

A leading technology company in Edinburgh is looking for a Graduate Validation and Characterization Engineer. Candidates should have a degree in Electrical & Electronic Engineering and experience with scripting languages like Python. The role involves bench testing and debugging embedded circuitry,

This full-time role requires extensive hands-on experience with AWS services such as EC2 and S3, alongside strong proficiency in Python and SQL programming applied to risk modelling.

Mindrift is seeking a Senior Python Data Scraping Engineer for the Tendem project. This part-time remote role involves leading data scraping tasks within a hybrid AI + human system, focusing on accuracy and quality control. The candidate should bring strong technical skills in web scraping and data

Python / Django Developer - Edinburgh Hybrid (Quarterly). Our client has built a strong reputation for delivering software solutions to some of the industry's biggest names, and following continued investment and expansion, they are now looking to strengthen their engineering team with the addition

SOLID Java web Python C Full-stack GitHub. The ideal candidate will have a strong background in full stack development with solid expertise in C#,. Python, or C++, and a passion for building intuitive, high-performance web applications.

We're working with a major public sector client delivering a next-gen AI platform to transform how high-volume documents are processed.This is a hands-on Python engineering role focused on building and running the platform that powers AI workloads not developing models.Building production-grade Pyth

Bright Purple is seeking a talented Python/Django Developer in Edinburgh for a hybrid role with a salary up to £48,000 and a 15% annual bonus. Applicants should have a strong background in Python and Django, along with front-end skills in JavaScript, HTML, and CSS.

You will contribute to training and evaluating AI models while ensuring code accuracy and adherence to Python best practices.

The ideal candidate will have a strong background in full stack development and expertise in C#, Java, Python, or C++. Rise Technical is seeking a Full Stack Developer located in Edinburgh, United Kingdom. This full-time position offers a competitive salary ranging between £80K to £100K.