Trabajos validation engineer en GlasgowCrear alertas

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Build solutions that matter in a highly regulated environment where resiliency and security are as important as innovation. You'll partner across engineering, cyber, risk, and resiliency to keep critical analytics platforms healthy and compliant while enabling teams to deliver change safely. This role offers breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You'll help reduce toil through automation and create space for engineers and data scientists to do their best work. Join a team that values inclusion, growth, and pragmatic problem-solving. \n As a Lead Software Engineer, Application Owner and Release Manager in the Wholesale Credit Risk Technology Analytics team, you will own day-to-day governance, risk posture, and operational resiliency for the Wholesale Credit Risk Analytics application estate. You'll keep the system-of-record accurate, guide work through firm controls, and ensure releases move to production safely with minimal disruption. You'll operate at the intersection of engineering, cyber, resiliency, and risk - translating firm-wide mandates into clear, executable actions for application teams. You don't need to write every line of code, but you understand the platform end-to-end and own outcomes. You'll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. \n Job responsibilities \n\n • Own application governance and records by maintaining accurate system-of-record information, certifications, and remediation workflows\n, • Drive permit-to-operate activities by coordinating required inputs, re-certifications, and stakeholder responses to move changes safely into production\n, • Monitor and remediate risk findings by assessing impact, prioritizing actions with engineering teams, and driving closure within agreed timelines\n, • Approve access and control activities by enforcing least privilege, segregation of duties, and periodic access reviews in partnership with control owners\n, • Own resiliency and recovery readiness by maintaining recovery plans, supporting resiliency events, and partnering on testing and evidence collection\n, • Manage technology lifecycle work by identifying end-of-life or prohibited components and coordinating upgrades across dependencies and teams\n, • Lead firmwide initiatives and non-functional tasks by maintaining a consolidated view, clarifying requirements, and tracking completion\n, • Lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post-release validation\n, • Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement\n, • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns\n, • Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation\n\n Required qualifications, capabilities, and skills \n\n • Bachelor's degree or equivalent practical experience\n, • Hands-on experience delivering system design, application development, testing, and operational stability in an agile environment\n, • Proficiency in Python and Java\n, • Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices\n, • Working knowledge of cloud-native delivery on Amazon Web Services (for example: object storage, compute, containers, and managed data processing services)\n, • Understanding of technology risk, controls, and compliance concepts, including identity and access management and audit readiness\n, • Demonstrated experience leading effective use of approved AI-assisted software development tools (for example: coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security\n, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to coach engineers on safe, compliant adoption within delivery practices\n, • Ability to understand an application end-to-end, including dependencies, data flows, and deployment topology\n, • Strong organization, prioritization, and communication skills, with the ability to influence partners without direct authority\n, • Comfort operating in ambiguity and translating broad mandates into an actionable backlog\n\n Preferred qualifications, capabilities, and skills \n\n • Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment\n, • Familiarity with Databricks and cloud data-lake patterns using object storage as a core data store\n, • Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes, and infrastructure-as-code\n, • Understanding of resiliency concepts such as recovery time objectives, recovery point objectives, multi-zone design, and disaster recovery testing\n, • Experience partnering with data science teams and business stakeholders to translate analytical needs into governed, compliant technology solutions\n, • Exposure to using AI-assisted tooling to reduce operational toil while retaining strong human judgment and accountability\n, • Domain awareness of wholesale or commercial credit risk analytics and modernization from monoliths to microservices\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have a Lead Site Reliability Engineer (SRE) opportunity within our Google Cloud Site Reliability Engineering team. \n As a Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platform - Cloud Foundational Services SRE organization, you will join our Google Cloud Site Reliability Engineering team operating within a global follow-the-sun support model. \n Job Responsibilities: \n\n • Lead and Implement SRE frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellence\n, • Mastery of application, data, infrastructure, and Agentic AI disciplines\n, • Keen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams to achieve common goals\n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.\n, • Provide support to develop & improve the quality of technical engineering documentation\n, • Provide technical supervision, oversight and problem resolution for engineering activities\n, • Champion a DevOps model so that services are automated and elastic across all platforms\n\n Required qualifications, capabilities, and skills: \n\n • Google & Azure cloud expertise in a mission critical production environment\n, • Strong understanding about container technologies such as Docker, Kubernetes, GKE and HELM\n, • Experience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs\n, • Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Google Observability, Azure Monitor, Data Dog, Prometheus, Splunk, Elasticsearch and Grafana.\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.\n, • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.\n, • Strong understanding about the Google Cloud governance and compliance and cost management\n, • Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Infrastructure as Code, Terraform and Jenkins.\n, • Google Cloud certification or equivalent technical experience in the Public Cloud.\n, • Good understanding of Agentic AI SDKs and GitHub Copilot Skills.\n\n Preferred qualifications, capabilities, and skills: \n\n • Good understanding of operating systems such as Windows, Linux (Redhat / Ubuntu)\n, • Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

About ProvectusAt Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.Who We're Looking ForWe're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. • Architect Product Strategy for Technical Platforms:, • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives., • Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases., • Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections., • Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: • Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems., • Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns., • Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments., • Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: • Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations., • Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns., • Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management., • Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories., • Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies., • Define sprint goals aligned with quarterly objectives and long-term product vision., • Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: • Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment., • Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience., • Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing., • Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction., • Required Qualifications:, • Bachelor's degree in Technology or Business related field (Master's preferred)., • 5-7+ years of experience in technical product management, solutions architecture, or software engineering., • 5+ years in product management roles with demonstrated end-to-end product ownership., • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development., • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies., • Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: • AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)., • Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures., • Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)., • MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking., • Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies., • Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: • Solution design and technical architecture capabilities., • Requirements translation from business needs to technical specifications., • Strong analytical thinking and problem-solving in complex technical domains., • Exceptional stakeholder management across technical and non-technical audiences., • Clear technical communication—documenting complex systems and presenting architectural decisions., • Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: • Prior software development or data engineering experience (3+ years)., • Background in consulting or professional services, delivering client solutions., • Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: • Insatiable curiosity about emerging technologies and a hands-on experimentation mindset., • Close attention to detail with quality focus and commitment to technical excellence., • Collaborative team player who thrives in cross-functional environments., • Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts., • Passion for mentoring engineers and elevating technical practices., • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms., • Shape how enterprises adopt AI — from strategy to architecture to delivery., • Grow within a team building modern AI-delivery practices, tools, and frameworks., • Remote-friendly culture with strong engineering, data, and consulting partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Title: Transmission Design Engineer \n Day Rate: £300-350/day (OUTSIDE IR35) \n Location: Hybrid in Glasgow \n Contract Length: 3 years \n \n Transmission Design Engineer - Role & Responsibilities \n\n • Design BT/Openreach EAD / Ethernet Access Direct and carrier Ethernet circuits for utility substation environments.\n, • Assess site feasibility using Openreach survey outputs, identifying access constraints, routing limitations, and delivery risks.\n, • Produce implementation-ready HLD/LLD design packs, including circuit diagrams, BoM, and as-built documentation.\n, • Evaluate EMI/EMC, Earth Potential Rise (EPR), and fibre vs copper suitability for high-voltage or sensitive sites.\n, • Coordinate with Vodafone, SPEN, BT/Openreach, field engineers, and suppliers to ensure end-to-end design viability and delivery readiness.\n\n \n Transmission Design Engineer - Required Experience \n\n • Proven experience designing BT/Openreach EAD, leased line, or carrier Ethernet access circuits.\n, • Strong understanding of Openreach delivery lifecycle (survey, order validation, civils, provisioning, and site readiness).\n, • Experience producing telecoms access designs (HLD/LLD, implementation packs, as-built documentation).\n, • Knowledge of fibre access design and limitations of copper in electrically sensitive or substation environments.\n, • Familiarity with EMI/EMC considerations, EPR risks, and telecoms cabinet/rack requirements (e.g., EMC cabinets, ventilation, cable entry).\n\n \n Interviews: July 2026 \n Start Date: July 2026 \n \n How to Apply: \n Apply to Gary Hargreaves at X4 Technology to learn more about the role or connect with me on LinkedIn to hear about regular job updates available with X4 Technology

\n • Location: Glasgow (Hybrid) - occasional expensed customer visits to Newcastle and London\n, • Salary: Up to £55,000 DoE\n\n \n We're working with a leading consultancy seeking an experienced Infrastructure Automation Engineer to join a team responsible for delivering automation across large-scale enterprise infrastructure. \n This is an opportunity to help build a next-generation automation platform that enables safe, reliable, and efficient infrastructure change across critical Linux, VMware, and F5 environments. \n \n The Role \n You'll play a key role in designing and developing automation that accelerates patching, upgrades, and infrastructure changes while improving resilience and reducing risk. Working within a highly skilled engineering team, you'll help strengthen pre- and post-change validation, enhance observability, and support the continuous improvement of automation capabilities. \n \n Technology Stack \n\n • Linux/UNIX\n, • Python\n, • Ansible\n, • Apache Airflow\n, • Prometheus\n, • Grafana\n, • Loki\n, • VMware\n, • F5\n\n \n What We're Looking For \n\n • We're looking for engineers with:\n, • Strong Linux/UNIX administration fundamentals\n, • Experience building infrastructure automation using Python and/or Ansible\n, • A solid understanding of systems administration and networking\n, • Experience with enterprise infrastructure and automation tooling\n\n \n We're particularly interested in candidates with expertise in one or more of the following: \n\n • UNIX and F5 technologies\n, • VMware or other virtualisation platforms\n, • Enterprise infrastructure automation\n\n \n What's on Offer \n\n • Salary up to £55,000 depending on experience\n, • Hybrid working and expensed wider travel\n, • The opportunity to work on large-scale, business-critical infrastructure\n, • A collaborative environment focused on automation, innovation, and continuous improvement\n\n \n To be Considered: \n Please either apply through this advert or email me directly via . For further information, please call me on . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

We are recruiting for a Senior Software Test Engineer to join a medical diagnostics business developing rapid point-of-care testing technology used in healthcare environments. \n This is an excellent opportunity for an experienced Software Test Engineer who enjoys working on complex products where quality, reliability and safety are critical. You will be involved in the verification and validation of software used within regulated medical device products, working closely with software, hardware and systems engineering teams. The Role\n As Senior Software Test Engineer, you will be responsible for planning, designing and executing software verification activities across the product lifecycle. \n You will review requirements, create detailed test plans and test cases, execute system-level testing, investigate defects and produce high-quality documentation in line with regulated development processes. \n This is a senior position, so you will also support junior engineers, contribute to test strategy and help drive improvements across the testing function. Key Responsibilities\n\n • Review software requirements and ensure they are clear, complete and testable\n, • Design and execute manual and system-level software tests\n, • Produce test plans, test cases, test reports and verification documentation\n, • Raise, investigate and track software defects\n, • Work closely with Software, Hardware, Systems and Quality teams\n, • Support root cause analysis and re-testing of fixes\n, • Contribute to test strategy, tools and process improvements\n, • Mentor and support less experienced engineers\nSkills and Experience Required\n\n, • Experience in software testing, software QA or software verification\n, • Strong background in writing test cases, test plans and test documentation\n, • Experience reviewing requirements and identifying test scenarios\n, • Defect management and root cause analysis experience\n, • Ability to work closely with multi-disciplinary engineering teams\n, • Strong attention to detail and communication skills\nDesirable Experience\n\n, • Medical device, diagnostics, IVD or MedTech experience\n, • Experience working in a regulated environment\n, • Knowledge of IEC 62304, ISO 13485 or similar standards\n, • Embedded software, system testing or hardware/software integration experience\n, • Experience mentoring junior engineers\nWhy Apply?\n This is a chance to work on meaningful technology used in healthcare settings, where your testing expertise directly contributes to product safety and reliability. \n You will join a collaborative engineering environment, take ownership of complex verification work and play a key role in improving software quality across regulated products. \n Apply now for immediate consideration or contact us for more information.

About ALSO. We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient. ALSO is looking for a Staff Software Engineer, Emerging Markets - a hands-on Software Engineering Leader to own the end-to-end software architecture and development across the vehicle and connected ecosystem. You will remain deeply involved in software architecture, firmware design, system integration, and technical decision-making, while also coordinating development across a small internal team and several specialist external partners. The ideal candidate combines strong embedded systems expertise with the ability to drive complex multi-team software delivery, and is comfortable leveraging AI-assisted engineering tools to accelerate development and validation. What you will do: 1. Software Program Coordination Coordinate delivery of the software platform across internal teams and external development partners. Responsibilities include: Managing the software development roadmap Aligning software milestones with vehicle development programs Coordinating firmware, cloud, and application development Managing technical dependencies between teams Supporting system integration and release planning This aspect of the role ensures that multiple software workstreams converge into a production-ready system. 1. Software Architecture and Technical Ownership Own and define the overall software architecture for the platform, spanning vehicle firmware, connectivity, and cloud integration. Responsibilities include: Defining the end-to-end software architecture Designing key elements of the vehicle firmware stack Establishing software interfaces between vehicle systems, cloud services, and applications Reviewing and contributing to embedded and systems-level code Leading architectural decisions for scalability, reliability, and security Guiding development of critical firmware components You will remain hands-on with technical design and system integration, particularly for the vehicle control and connectivity layers. 1. Vehicle Embedded Systems Development Lead development of the vehicle embedded software stack, including: Vehicle Control Module (VCM) firmware Battery Management System (BMS) firmware Power management and energy optimisation Diagnostics and telemetry systems Sensor and actuator integration Vehicle networking (e.g. CAN) Work closely with hardware engineers to ensure tight hardware–software co-design. 1. Connected Vehicle and IoT Platform Define and implement the vehicle connectivity architecture, including: Secure vehicle-to-cloud communication Telemetry and diagnostics pipelines Remote vehicle monitoring and control Fleet and asset management integration Over-the-air software updates Charging ecosystem integration Ensure the connected platform is secure, scalable, and reliable. 1. Software Engineering Leadership Establish engineering standards across the platform including: Coding standards and best practices Development workflows Continuous integration and testing pipelines Simulation and validation environments Software quality and release processes Provide hands-on technical leadership and mentorship to engineers and partners. 1. External Partner and Supplier Integration Work closely with external engineering partners responsible for parts of the software stack. Responsibilities include: Defining technical interfaces and integration requirements Reviewing partner architecture and code deliverables Ensuring adherence to engineering standards and security practices Integrating externally developed modules into the platform Supporting joint debugging and system integration 1. AI-Augmented Engineering Drive adoption of AI-assisted software development tools across the engineering ecosystem. Use cases include: AI-assisted code generation Automated test creation Static analysis and validation Simulation-driven verification AI-assisted debugging and optimisation The objective is to maximize engineering productivity while maintaining high-quality production software. Key Deliverables of the role: Production-ready vehicle firmware and control systems Integrated BMS and power management software Secure connected vehicle architecture Reliable OTA update capability Integrated vehicle + cloud ecosystem Robust software development and validation pipeline Degree qualified with 5+ years in embedded software, vehicle systems, robotics, or connected devices Strong experience with embedded firmware development Experience designing complex hardware-integrated software systems Experience leading multi-disciplinary engineering programs Strong experience with: Embedded C/C++ Real-time embedded systems / RTOS CAN or vehicle network architectures Firmware–hardware integration Cloud-connected device platforms (AWS / Azure / GCP) System integration and debugging Electric vehicle platforms Battery Management Systems IoT connectivity platforms OTA update systems Cybersecurity for connected devices Mobile or user-facing applications Leadership Qualities Be deeply technical and comfortable contributing to architecture and code Balance hands-on engineering with delivery leadership Thrive in startup-scale engineering environments Build strong relationships with external engineering partners Drive rapid but disciplined product development Why ALSO. We’re passionate about helping the world find a better way to get there—wherever it is you’re headed. We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we’re working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges. Perks and Benefits Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options. One Medical membership and dedicated insurance advocates. Rich fertility and family building benefits with Progyny. Flexible time off. 401(k) match.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker), • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale., • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices., • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps., • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions., • Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms), • Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase, within the Treasury/Chief Investment Office (T/CIO), Corporate Technology team you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n This new role requires a driven individual who thrives in a fast-paced setting, takes ownership of tasks, and is comfortable working as part of a team on solutions for the T/CIO trading desks. \n Job Responsibilities \n\n • Develops, enhances and supports our Trade Execution Platform, which is critical to trading and other business activities.\n, • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems\n, • Develops secure and high-quality production code, and reviews and debugs code written by others\n, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team\n, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • \n Contribute to the wider team culture of diversity, opportunity, inclusion, and respect. \n\n\n Required Qualifications, Capabilities, and Skills \n\n • Formal training or certification in software engineering concepts with experience delivering in a commercial setting.\n, • Hands-on experience in system design, application development, testing, and operational stability.\n, • Advanced proficiency in Python or Java programming languages and frameworks.\n, • Ability to independently troubleshoot design and functionality issues.\n, • Demonstrated ability to problem-solve in real-time and handle technical issues with a sense of urgency.\n, • Strong communication skills and ability to work collaboratively with non-technical colleagues to understand and address business needs.\n, • Ability to self-drive delivery and take ownership end to end.\n, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security\n, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • \n Practical cloud native experience \n\n\n Preferred qualifications, capabilities, and skills \n\n • Financial Industry experience and familiarity with investment banking products - e.g. fixed income, derivatives.\n, • Project execution experience with strong communication skills and ability to work collaboratively with non-technical colleagues to understand and address business needs.\n, • Comfort working across full stack development, particularly with React. \n, • Exposure to cloud technologies using AWS.\n, • Familiarity with container orchestration (K8s).\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Are you an experienced Project Engineer looking for your next challenge? We're recruiting on behalf of a leading drinks manufacturer for a 12-month fixed-term contract, offering the opportunity to deliver exciting engineering and capital projects within a fast-paced production environment. Working as part of the engineering team, you'll take ownership of projects from concept through to completion, ensuring they're delivered safely, on time, within budget and to the highest quality standards. This is an excellent opportunity to make a real impact while working on a variety of site improvement and capital investment projects. Key Responsibilities • Lead engineering and capital projects from planning through to implementation., • Manage project budgets, timelines and contractor performance., • Work closely with production, engineering and operational teams to minimise disruption during project delivery., • Ensure all projects comply with health, safety and environmental standards., • Support equipment installations, commissioning and validation activities., • Identify and deliver continuous improvement opportunities across the site., • Produce project documentation, progress reports and post-project reviews., • Build strong relationships with internal stakeholders and external suppliers. About You We're looking for someone who has: • Experience delivering engineering or capital projects within a manufacturing environment, ideally food & drink, FMCG or process industries., • A degree or HNC/HND in Mechanical, Electrical or Manufacturing Engineering (or equivalent)., • Excellent project management and organisational skills., • Strong communication skills with the ability to engage stakeholders at all levels., • Experience managing contractors and external suppliers., • A proactive approach with a focus on continuous improvement and problem solving. What's on Offer? • 12-month fixed-term contract with a leading drinks manufacturer., • Competitive salary and benefits package., • Opportunity to work on high-profile engineering and capital projects., • Collaborative and supportive working environment., • Valuable experience within a well-established and respected manufacturing business. If you're a motivated Project Engineer looking to contribute to exciting site projects while developing your experience in a dynamic manufacturing environment, we'd love to hear from you.

BMS Commissioning EngineerLocation: Glasgow, UK (Site-based with regional travel)Salary: Up to £60,000 per annum (depending on experience)Benefits: Company car or car allowance + benefits packageEmployment Type: Full-time, PermanentRecruiter: Vantage ConsultingAbout theBMS Commissioning EngineerWe are currently supporting the search for an experienced BMS Commissioning Engineer to join a growing building controls team delivering projects across Glasgow and the surrounding region.This role involves commissioning, testing, and optimising Building Management Systems on a variety of commercial and industrial sites, supporting the delivery of efficient and sustainable building performance.Key Responsibilities of aBMS Commissioning Engineer- Commissioning and validation of BMS systems (Trend, Siemens, Schneider, Distech, Tridium or equivalent)- Carrying out point-to-point checks, I/O testing, and full functional performance testing- Integrating HVAC plant in line with design specifications- Diagnosing and resolving commissioning and control issues on-site- Working closely with project managers, engineers, and client teams- Producing accurate commissioning documentation and handover packs- Ensuring compliance with health & safety and quality standards- Supporting client demonstrations and system handoversAbout You- Proven experience in a BMS Commissioning Engineer or similar controls role- Strong understanding of HVAC systems and building automation- Experience with major BMS platforms- Ability to read technical drawings and schematics- Strong fault-finding and diagnostic skills- Full UK driving licence (regional travel required)- Confident working independently and as part of a teamDesirable Experience of aBMS Commissioning Engineer- BACnet, Modbus, KNX or similar protocols- Experience in large commercial environments (e.g. hospitals, data centres, retail)- Knowledge of energy optimisation or smart building systemsWhats on Offer for aBMS Commissioning Engineer- Salary up to £60,000 (DOE)- Company car or car allowance- Pension scheme and additional benefits- Ongoing training and professional development- Opportunity to work on high-profile commercial projects- Clear progression opportunities within the sectorTPBN1_UKTJ

We are recruiting for a Senior Software Test Engineer to join a medical diagnostics business developing rapid point-of-care testing technology used in healthcare environments. This is an excellent opportunity for an experienced Software Test Engineer who enjoys working on complex products where quality, reliability and safety are critical. You will be involved in the verification and validation of software used within regulated medical device products, working closely with software, hardware and systems engineering teams. The Role As Senior Software Test Engineer, you will be responsible for planning, designing and executing software verification activities across the product lifecycle. You will review requirements, create detailed test plans and test cases, execute system-level testing, investigate defects and produce high-quality documentation in line with regulated development processes. This is a senior position, so you will also support junior engineers, contribute to test strategy and help drive improvements across the testing function. Key Responsibilities Review software requirements and ensure they are clear, complete and testable Design and execute manual and system-level software tests Produce test plans, test cases, test reports and verification documentation Raise, investigate and track software defects Work closely with Software, Hardware, Systems and Quality teams Support root cause analysis and re-testing of fixes Contribute to test strategy, tools and process improvements Mentor and support less experienced engineers Skills and Experience Required Experience in software testing, software QA or software verification Strong background in writing test cases, test plans and test documentation Experience reviewing requirements and identifying test scenarios Defect management and root cause analysis experience Ability to work closely with multi-disciplinary engineering teams Strong attention to detail and communication skills Desirable Experience Medical device, diagnostics, IVD or MedTech experience Experience working in a regulated environment Knowledge of IEC 62304, ISO 13485 or similar standards Embedded software, system testing or hardware/software integration experience * Experience mentoring junior engineers Why Apply? This is a chance to work on meaningful technology used in healthcare settings, where your testing expertise directly contributes to product safety and reliability. You will join a collaborative engineering environment, take ownership of complex verification work and play a key role in improving software quality across regulated products. Apply now for immediate consideration or contact us for more information

Telecoms Project Engineer - Cisco | Nokia SAR-H | Nokia NFM-P | WAN | LAN | MPLS | R&SGlasgow, Central Belt, Scotland | Field-Based | Utility Telecoms Infrastructure | Project DeliveryOverview:@mecscomms is recruiting for a contract Telecoms Project Engineer to support critical utility, energy, power & telecommunications network infrastructure across Scotland.The role will plan, coordinate & deliver technically complex projects responsible for technical planning, diagrams, documentation, implementation, installation, commissioning & successful handover of projects spanning IP networking, transmission infrastructure & operational telecom environments.The successful candidate will combine strong technical networking expertise with excellent project delivery capability, enabling them to confidently engage with customers, undertake technical site surveys, coordinate field engineers & ensure projects are delivered safely, efficiently & to the highest standards. Technical excellence, customer engagement & successful project delivery are fundamental to success in this role.Role: Project Engineer / Telecoms Project Engineer / Network Project EngineerKey Skills: Telecoms Networks, IP Networking, Cisco, Nokia SAR-H, Nokia NFM-P, Routing & Switching, WAN, LAN, MPLS, Utility Telecommunications, Network Infrastructure, Installation, Commissioning, Technical Project Delivery, Site Surveys, Network Documentation, Technical Documentation, As-Built Documentation, Visio, RAMS, POWRA, Network Troubleshooting, Utilities, Electricity, Power Networks, Critical National Infrastructure (CNI).Location: Scotland - Field-Based Role Covering sites across Glasgow, Edinburgh, Central Belt, Aberdeen, Dundee, Paisley, Hamilton, Motherwell, East Kilbride, Cumbernauld, Falkirk, Stirling, Livingston.Type: Temporary, Contract, Full-TimeStatus: Contract for services. Outside IR35Duration: 12 months minimumHours: Monday-Friday with flexibility to support occasional out-of-hours projectsPurpose: Provide technical leadership & engineering expertise throughout the project lifecycle, supporting successful planning, survey, scope of works, project briefs, installation, commissioning, documentation & handover etc. whilst ensuring compliance with contractual obligations, technical standards, health & safety legislation & customer expectations.Technology Stack: Cisco Routing & Switching Nokia SAR-H Platforms Nokia NFM-P WAN / LAN MPLS IP Networking Routing & Switching Firewalls High Voltage Utility Infrastructure Transmission Networks XTran Technologies Microsoft Visio Technical Documentation Network As-Built Documentation RAMS & POWRACore Activity: Support Project Managers in planning, coordinating & delivering multiple concurrent projects Conduct site surveys, scope of works, diagram & provide engineering recommendations for implementation. Install, configure, commission & test IP networking & telecom equipment Produce quality documentation, including network diagrams, handovers, asset records etc. Coordinate activity with Field Engineers & customer stakeholders Represent the engineering team in customer meetings & support complex fault investigations Ensure compliance with technical specifications, project governance & health & safety standards Drive continuous improvement in project delivery, engineering quality & operational performanceResponsibilities: Deliver compliant telecom projects from initial site survey to commissioning & handover Support Project Managers with planning, scheduling, & project implementation. Conduct site surveys, feasibility assessments & engineering reviews to validate project plans Install, configure & commission Cisco routing platforms & Nokia telecom infrastructure. Configure IP network technologies, including routers, switches & firewalls Produce accurate documentation, including network diagrams, configuration records, RAMS, POWRA & handover packs Provide technical leadership & guidance to Field Engineers during deployment & testing Act as the primary technical interface in customer meetings, workshops & project reviews Investigate complex faults, perform root cause analysis & deliver engineering solutions Ensure full compliance with project specifications, technical standards, & H&S legislation Monitor progress, identify technical risks & proactively escalate issues to management Drive continuous improvement to enhance engineering processes, standards & delivery performanceDeliverables: Deliver projects on time, within scope, budget & quality milestones Delivery against operational SLAs & quality standards High-quality documentation, network diagrams, configuration records, & handover packs Site surveys, engineering assessments & implementation plans Deploy fully tested infrastructure that meets customer specifications & acceptance criteria Maintain accurate asset records & as-built documentation Ensure safe engineering delivery compliant with RAMS, POWRA & H&S legislation Resolve implementation challenges while minimizing operational risk & service disruption Meet contractual obligations, engineering standards & customer expectations Drive continuous improvement to enhance engineering quality & project performanceWorking Environment: Field-Based Project Engineering Role Utility & Telecoms Infrastructure Environment High Voltage Substation Environments (11kV - 400kV) Customer Sites Throughout Scotland Office, Site & Remote WorkingCandidate Profile:Candidates should possess strong hands-on Project Engineer experience with a track record of delivering complex infrastructure projects within utility, critical infrastructure, or enterprise networking environments. You will combine technical delivery, customer-facing, project planning & project delivery skills. Your experience is likely to include some of the following:Essential: Proven telecoms field engineering experience Installation, commissioning & maintenance expertise Strong Cisco & or Nokia (previously Alcatel-Lucent) networking LAN & WAN XTran MPLS or MPLS-TP (transport profile) Routing, switching & IP networking experience Project planning, validation, scheduling & implementation Producing scope of works, site surveys, installation diagrams, work packs, feasibility reviews Strong understanding of assure & maintenance activities Full UK Driving LicenceDesirable: Utilities, power, telecommunications or Critical National Infrastructure Firewall technologies & network security Power Authorisations (5th Edition) NRSWA, EUSR or IOSH certification Emergency First Aid RAMS & POWRA documentation High Voltage Substation environmentsKey Traits: Technically minded with excellent problem-solving ability Organised & capable of managing multiple project priorities Strong communication & stakeholder engagement Collaborative team player with confidence to lead Attention to detail & commitment to quality Excellent Health & Safety awareness Customer-focused & committed to continuous improvement@mecscomms: uniting opportunity with ambition in Telecoms | Media | Technology@mecscomms is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.For more information or a list of current vacancies, please see our web site at mecscomms.co.ukTPBN1_UKTJ

Contract Electronics Engineer | Outside IR35 £50 - 65/hour Glasgow | Hybrid Our client is seeking an experienced Electronics Engineer to join their team on an initial contract basis, supporting the continued development of a next-generation diagnostic instrumentation platform. This role will focus on electronic hardware design, verification, and design improvement activities across an established product platform. Working as part of a multidisciplinary engineering team, you will take ownership of analogue circuit design modifications, schematic and PCB updates, verification testing, and EMC-focused design improvements. The position requires a hands-on engineer who is comfortable working across the full product development lifecycle, from design changes and PCB implementation through to laboratory-based verification and debugging. The ideal candidate will bring extensive industry experience and a strong background in regulated product development environments such as medical devices, automotive, aerospace, or similar sectors. You will be expected to work closely with mechanical, software, and systems engineering teams to ensure robust, compliant, and manufacturable hardware designs. Key Technical Experience Strong analogue design background, including: Power supply design Current sensing circuits Precision measurement and control electronics Expertise in schematic capture and PCB layout using Altium Designer Hands-on hardware debugging and fault-finding experience Verification and validation testing of electronic systems Experience designing for and troubleshooting EMC/EMI compliance Implementation of design improvements and engineering change activities on existing products Comfortable working across both design and laboratory-based engineering activities Experience producing and maintaining technical documentation to support regulated product development Understanding of DFM/DFT principles and design release processes Background working within regulated industries (Medical device, Automotive, Aerospace, safety-critical environments, etc.)Unfortunately sponsorship is not available for this role. Keen to express your interest, or find out more? Option 1: Click the apply button (don’t worry, we’ll discuss your CV before submitting) Option 2: Drop me a message on LinkedIn (Rachel Bush – SoCode Recruitment)

Are you an experienced Project Engineer looking for your next challenge? We're recruiting on behalf of a leading drinks manufacturer for a 12-month fixed-term contract, offering the opportunity to deliver exciting engineering and capital projects within a fast-paced production environment. Working as part of the engineering team, you'll take ownership of projects from concept through to completion, ensuring they're delivered safely, on time, within budget and to the highest quality standards. This is an excellent opportunity to make a real impact while working on a variety of site improvement and capital investment projects. Key Responsibilities Lead engineering and capital projects from planning through to implementation. Manage project budgets, timelines and contractor performance. Work closely with production, engineering and operational teams to minimise disruption during project delivery. Ensure all projects comply with health, safety and environmental standards. Support equipment installations, commissioning and validation activities. Identify and deliver continuous improvement opportunities across the site. Produce project documentation, progress reports and post-project reviews. Build strong relationships with internal stakeholders and external suppliers. About You We're looking for someone who has: Experience delivering engineering or capital projects within a manufacturing environment, ideally food & drink, FMCG or process industries. A degree or HNC/HND in Mechanical, Electrical or Manufacturing Engineering (or equivalent). Excellent project management and organisational skills. Strong communication skills with the ability to engage stakeholders at all levels. Experience managing contractors and external suppliers. A proactive approach with a focus on continuous improvement and problem solving. What's on Offer? 12-month fixed-term contract with a leading drinks manufacturer. Competitive salary and benefits package. Opportunity to work on high-profile engineering and capital projects. Collaborative and supportive working environment. Valuable experience within a well-established and respected manufacturing business.If you're a motivated Project Engineer looking to contribute to exciting site projects while developing your experience in a dynamic manufacturing environment, we'd love to hear from you

BMS Commissioning Engineer Location: Glasgow, UK (Site-based with regional travel) Salary: Up to £60,000 per annum (depending on experience) Benefits: Company car or car allowance + benefits package Employment Type: Full-time, Permanent Recruiter: Vantage Consulting About theBMS Commissioning Engineer We are currently supporting the search for an experienced BMS Commissioning Engineer to join a growing building controls team delivering projects across Glasgow and the surrounding region. This role involves commissioning, testing, and optimising Building Management Systems on a variety of commercial and industrial sites, supporting the delivery of efficient and sustainable building performance. Key Responsibilities of aBMS Commissioning Engineer • Commissioning and validation of BMS systems (Trend, Siemens, Schneider, Distech, Tridium or equivalent), • Carrying out point-to-point checks, I/O testing, and full functional performance testing, • Integrating HVAC plant in line with design specifications, • Diagnosing...

Job Description We are seeking an Electrical EMT Engineer for our client in Glasgow for a 6 month contract. Role description: This role offers the successful candidate career progression to full Electrical Power System engineer role with additional training and further opportunities to progress their career within our established Transmission & Distribution team. Based on your initial knowledge you will be further developed to undertaking electromagnetic transient studies including insulation coordination, transient recovery voltage, zero missing phenomena, circuit breaker switching, transformer energisation and more, playing a key role in the design of substations and other electrical assets. Reporting to the team leader, you will be responsible for assisting in the delivery of project-related tasks to meet budget and contributing towards the achievement of the divisional business plan. As part of your role, you will be developed for conducting risk analysis of the design and identify potential threats and risks. Using your basic understanding and provided in house training you assist in making recommendations on potential mitigation for any issues identified, or work with stakeholders to agree actions. The role requires a certain level of flexibility to visit site locations across the UK. Role accountabilities: Responsibilities of the role include: · Working or assisting in Electromagnetic Transient Studies and analysis using the PSCAD software e.g. Insulation coordination studies and Circuit breaker switching studies (steady state and transient capability) · Writing technical reports. · Assistance in the creation of competitive proposals/quotations for new packages of work Qualifications & Experience: · Have a BSc/BEng/ BEng (Hons) or MSc/MEng or equivalent in a relevant discipline · 2+ year Experience of electromagnetic transient studies using PSCAD/EMTDC software package or equivalent. · Familiar with power system modelling techniques, analysis and validation methodologies. · Ability of communicating complex technical or commercial issues to peers or senior managers · Ability to develop working relationships quickly and effectively · Experience in writing clear and concise documentation e.g. design and site measurements reports and drawings. This role falls inside IR35 through an Umbrella company. The location is in Glasgow and can be 3 days in the office and 2 from home. There are also other offices available in Edinburgh, Leeds, Manchester, Birmingham and London. JBRP1_UKTJ

Spire Global is a space‑powered data and analytics platform that offers unique insights and powerful solutions about Earth from the ultimate vista point – space – so organizations can act now and plan for the future with confidence, accuracy and speed. Leveraging its proprietary multi‑purpose satellite constellation and sophisticated predictive analytics, Spire gives commercial and government organizations an unprecedented competitive advantage to solve their toughest challenges, empowered with knowledge from space. Spire Global is currently embarking on projects that range from the design of advanced satellite communication and navigation systems to RF monitoring constellations. We are seeking a Senior RF Engineer with expertise in RF systems design, RF transceiver, low‑noise and power amplifier design, antenna arrays, and a solid background in space‑based communications, navigation or RF monitoring systems. The ideal candidate will have hands‑on experience in high‑frequency, high‑power RF systems, ultra‑sensitive receiver systems, with strong simulation and analytical skills. The candidate will work on designing, analysing, and optimizing advanced RF subsystems for satellite and aerospace applications, and should have strong analytical and problem‑solving skills, able to navigate in a fast‑changing dynamic and innovative environment. • Contribute proactively to the design and development of RF subsystems for our next generation of satellite communication, navigation or RF monitoring systems., • Component selection and circuit level design using PCB software (Altium preferred), along with simulation (CST, ADS preferred) where required; including transceivers for UHF, S-, X- and Ka-bands., • Management of RF modules through production & test., • RF module test and fault‑find at bench level, environmental level (EMC and thermal vacuum testing) and spacecraft level., • Lead RF testing, validation, and space qualification efforts for new and existing systems., • Develop test plans and operational procedures., • Provide technical consultancy support to software engineering, payloads, satellite operations, and manufacturing teams., • BSc, MSc or Ph.D. degree in Telecommunications, Microwave or RF Electronics Engineering., • 5+ years of working experience on design, development and testing of RF systems., • Hands‑on RF simulation, design and manufacturing experience and fault‑finding during test., • PCB schematic capture and layout for RF circuits., • Experience with laboratory or field RF testing with relevant technical equipment such as Network Analyzer, Signal Analyzer and Signal Generator., • Measuring performance of passive and active circuits to provide data that backs up system requirements, including phase noise, compression points, associated chain losses and signal analysis., • Tuning of RF circuits to achieve optimal performance., • Proficient in simulation tools (ADS, CST, HFSS, MATLAB)., • Proven track record of promoting cooperation and teamwork., • Demonstration of problem‑solving skills and solution‑oriented approaches when dealing with challenges., • Flexibility to shifting priorities and operational requirements., • Attention to detail, highly organized with clear communication skills., • Proficiency in scripting languages and testing tools (Python preferred)., • Strong background in high‑frequency RF systems (e.g., Ku‑band, Ka‑band)., • End‑to‑end RF system analysis, simulation, and optimization., • Knowledge of frequency spectrum management., • Knowledge of state‑of‑the‑art RF analog and high‑speed digital signal processing techniques and technologies using Xilinx/AMD MPSoC/RFSoC., • Passive and active antenna design, and antenna measurement techniques., • Experience of power supply design and EMI mitigation techniques., • Experience of digital circuit design including microcontroller, FPGA and high‑speed transceivers. Spire operates a hybrid work model and this position will require you to work a minimum of three days per week in the office. Spire is a global company and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. #J-18808-Ljbffr

Spire Global is a space-powered data and analytics platform that offers unique insights and powerful solutions about Earth from the ultimate you can act now and plan for the future with confidence, accuracy and speed. Leveraging its proprietary multi-purpose satellite constellation and sophisticated predictive analytics, Spire gives commercial and government organizations an unprecedented competitive advantage to solve their toughest challenges, empowered with knowledge from space. Spire Global is currently embarking on projects that range from the design of advanced satellite communication and navigation systems to RF monitoring constellations. As part of the development of next-generation proprietary communication system, we are seeking a Senior RF Engineer with expertise in RF systems design, RF transceiver, low noise and power amplifier design, antenna arrays, and a solid background in space-based communications, navigation or RF monitoring systems. The ideal candidate will have hands‑on experience in high-frequency, high-power RF systems, ultra-sensitive receiver systems, with strong simulation and analytical skills. The candidate will work on designing, analysing, and optimizing advanced RF subsystems for satellite and aerospace applications. The candidate should have strong analytical and problem‑solving skills and be able to navigate in a fast‑changing dynamic and innovative environment. • Contribute proactively to the design and development of RF subsystems for our next generation of satellite communication, navigation or RF monitoring systems, • Component selection and circuit level design using PCB software (Altium preferred), along with simulation (CST, ADS preferred) where required; including transceivers for UHF, S-, X- and Ka-bands., • Management of RF modules through production & test, • RF module test and fault‑find at bench level, environmental level (EMC and thermal vacuum testing) and spacecraft level, • Lead RF testing, validation, and space qualification efforts for new and existing systems, • Develop test plans, and operational procedures, • Provide technical consultancy support to software engineering, payloads, satellite operations, and manufacturing teams, • BSc, MSc or Ph.D. degree in Telecommunications, Microwave or RF Electronics Engineering, • 5+ years of working experience on design, development and testing of RF systems, • Hands‑on RF simulation, design and manufacturing experience and fault‑finding during test, • PCB schematic capture and layout for RF circuits, • Experience with laboratory or field RF testing with relevant technical equipment such as Network Analyzer, Signal Analyzer and Signal Generator, • Measuring performance of passive and active circuits to provide data that backs up system requirements, including phase noise, compression points, associated chain losses and signal analysis, • Tuning of RF circuits to achieve optimal performance, • Proficient in simulation tools (ADS, CST, HFSS, MATLAB), • Proven track record of promoting cooperation and teamwork, • Demonstration of problem‑solving skills and solution‑oriented approaches when dealing with challenges, • Flexibility to shifting priorities and operational requirements, • Attention to detail, highly organized with clear communication skills, • Proficiency in scripting languages and testing tools (Python preferred), • Strong background in high-frequency RF systems (e.g., Ku-band, Ka-band), • End‑to‑end RF system analysis, simulation, and optimization, • Knowledge of frequency spectrum management, • Knowledge of state‑of‑the‑art RF analog and high‑speed digital signal processing techniques and technologies using Xilinx/AMD MPSoC/RFSoC., • Passive and active antenna design, and antenna measurement techniques, • Experience of power supply design and EMI mitigation techniques, • Experience of digital circuit design including microcontroller, FPGA and high‑speed transceivers Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. Access to US export‑controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. • Name Your Satellite Program (NYSP), • Launch Attendance, • Generous Time Off Policy, • Education Assistance Program, • Employee Assistance Program (EAP), • Employee Stock Purchase Program (ESPP), • Family Leave, • Fitness Reimbursement, • Employee Referral Program, • Healthy snacks & beverages in every office Spire is a global company committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. All candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. #J-18808-Ljbffr

Build solutions that matter in a highly regulated environment where resiliency and security are as important as innovation. You’ll partner across engineering, cyber, risk, and resiliency to keep critical analytics platforms healthy and compliant while enabling teams to deliver change safely. This role offers breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You’ll help reduce toil through automation and create space for engineers and data scientists to do their best work. Join a team that values inclusion, growth, and pragmatic problem-solving. In the Wholesale Credit Risk Technology Analytics team, you will own day-to-day governance, risk posture, and operational resiliency for the Wholesale Credit Risk Analytics application estate. You’ll keep the system-of-record accurate, guide work through firm controls, and ensure releases move to production safely with minimal disruption. You’ll operate at the intersection of engineering, cyber, resiliency, and risk—translating firm-wide mandates into clear, executable actions for application teams. You don’t need to write every line of code, but you understand the platform end‑to‑end and own outcomes. You’ll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud‑native analytics. • Own application governance and records by maintaining accurate system‑of‑record information, certifications, and remediation workflows, • Drive permit‑to‑operate activities by coordinating required inputs, re‑certifications, and stakeholder responses to move changes safely into production, • Monitor and remediate risk findings by assessing impact, prioritizing actions with engineering teams, and driving closure within agreed timelines, • Approve access and control activities by enforcing least privilege, segregation of duties, and periodic access reviews in partnership with control owners, • Own resiliency and recovery readiness by maintaining recovery plans, supporting resiliency events, and partnering on testing and evidence collection, • Manage technology lifecycle work by identifying end‑of‑life or prohibited components and coordinating upgrades across dependencies and teams, • Lead firmwide initiatives and non‑functional tasks by maintaining a consolidated view, clarifying requirements, and tracking completion, • Lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post‑release validation, • Develop secure, high‑quality production code and contribute to technical troubleshooting, reviews, and continuous improvement, • Drive team adoption of enterprise‑authorized AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns, • Apply software development lifecycle toolchain knowledge, including enterprise‑authorized AI‑assisted development and automation capabilities, to increase the value realized through automation, • Bachelor's degree or equivalent practical experience, • Hands‑on experience delivering system design, application development, testing, and operational stability in an agile environment, • Proficiency in Python and Java, • Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices, • Working knowledge of cloud‑native delivery on Amazon Web Services (for example: object storage, compute, containers, and managed data processing services), • Understanding of technology risk, controls, and compliance concepts, including identity and access management and audit readiness, • Demonstrated experience leading effective use of approved AI‑assisted software development tools (for example: coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to coach engineers on safe, compliant adoption within delivery practices, • Ability to understand an application end‑to‑end, including dependencies, data flows, and deployment topology, • Strong organization, prioritization, and communication skills, with the ability to influence partners without direct authority, • Comfort operating in ambiguity and translating broad mandates into an actionable backlog, • Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment, • Familiarity with Databricks and cloud data‑lake patterns using object storage as a core data store, • Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes, and infrastructure‑as‑code, • Understanding of resiliency concepts such as recovery time objectives, recovery point objectives, multi‑zone design, and disaster recovery testing, • Experience partnering with data science teams and business stakeholders to translate analytical needs into governed, compliant technology solutions, • Exposure to using AI‑assisted tooling to reduce operational toil while retaining strong human judgment and accountability, • Domain awareness of wholesale or commercial credit risk analytics and modernization from monoliths to microservices We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Build solutions that matter in a highly regulated environment where resiliency and security are as important as innovation. You'll partner across engineering, cyber, risk, and resiliency to keep critical analytics platforms healthy and compliant while enabling teams to deliver change safely. This role offers breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You'll help reduce toil through automation and create space for engineers and data scientists to do their best work. Join a team that values inclusion, growth, and pragmatic problem-solving. As a Lead Software Engineer, Application Owner and Release Manager in the Wholesale Credit Risk Technology Analytics team, you will own day-to-day governance, risk posture, and operational resiliency for the Wholesale Credit Risk Analytics application estate. You'll keep the system-of-record accurate, guide work through firm controls, and ensure releases move to production safely with minimal disruption. You'll operate at the intersection of engineering, cyber, resiliency, and risk—translating firm-wide mandates into clear, executable actions for application teams. You don't need to write every line of code, but you understand the platform end-to-end and own outcomes. You'll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. • Own application governance and records by maintaining accurate system-of-record information, certifications, and remediation workflows, • Drive permit-to-operate activities by coordinating required inputs, re-certifications, and stakeholder responses to move changes safely into production, • Monitor and remediate risk findings by assessing impact, prioritizing actions with engineering teams, and driving closure within agreed timelines, • Approve access and control activities by enforcing least privilege, segregation of duties, and periodic access reviews in partnership with control owners, • Own resiliency and recovery readiness by maintaining recovery plans, supporting resiliency events, and partnering on testing and evidence collection, • Manage technology lifecycle work by identifying end-of-life or prohibited components and coordinating upgrades across dependencies and teams, • Lead firmwide initiatives and non-functional tasks by maintaining a consolidated view, clarifying requirements, and tracking completion, • Lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post-release validation, • Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement, • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns, • Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation, • Bachelor's degree or equivalent practical experience, • Hands‑on experience delivering system design, application development, testing, and operational stability in an agile environment, • Proficiency in Python and Java, • Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices, • Working knowledge of cloud‑native delivery on Amazon Web Services (for example: object storage, compute, containers, and managed data processing services), • Understanding of technology risk, controls, and compliance concepts, including identity and access management and audit readiness, • Demonstrated experience leading effective use of approved AI‑assisted software development tools (for example: coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to coach engineers on safe, compliant adoption within delivery practices, • Ability to understand an application end‑to‑end, including dependencies, data flows, and deployment topology, • Strong organization, prioritization, and communication skills, with the ability to influence partners without direct authority, • Comfort operating in ambiguity and translating broad mandates into an actionable backlog, • Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment, • Familiarity with Databricks and cloud data‑lake patterns using object storage as a core data store, • Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes, and infrastructure‑as‑code, • Understanding of resiliency concepts such as recovery time objectives, recovery point objectives, multi‑zone design, and disaster recovery testing, • Experience partnering with data science teams and business stakeholders to translate analytical needs into governed, compliant technology solutions, • Exposure to using AI‑assisted tooling to reduce operational toil while retaining strong human judgment and accountability, • Domain awareness of wholesale or commercial credit risk analytics and modernization from monoliths to microservices We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market‑leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production‑grade services with measurable client and advisor impact. You will be responsible to the Head of AIML in IPB Tech for the end‑to‑end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. • Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact, • Leads the engineering build of agentic AI and LLM‑powered products serving IPB advisors and clients across the globe., • Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers, • Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm‑wide standards, • Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams, • Represents the AIML team in firm‑wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data‑privacy considerations are reflected in solution design, • Contributes to the team's GenAI education programme through training content, knowledge‑sharing sessions, and mentoring of junior engineers and interns, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification in software engineering concepts and expert applied experience, • Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control), • Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day‑to‑day software development, with the judgement to know when to lean on them and when not to, • Hands‑on experience building, evaluating, and deploying machine learning models into production, • Practical experience with Large Language Models, including prompt engineering, RAG, fine‑tuning, agentic frameworks, skills., • Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data‑intensive systems, • Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non‑technical audiences, • Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines, • MSc in Computer Science, Data Science, Engineering, or a related quantitative field, • Postgraduate‑level qualification in data science, artificial intelligence, or machine learning, • Practical experience with CI/CD, containerization, and cloud‑native deployment patterns, • Experience within financial services technology, particularly wealth, private banking, or asset management, • Experience with Databricks, Kubernetes, or comparable ML / cloud platforms, • Experience designing or contributing to AI governance, model validation, or guardrail frameworks #J-18808-Ljbffr

Build solutions that matter in a highly regulated environment where resiliency and security are as important as innovation. You will partner across engineering, cyber, risk, and resiliency to keep critical analytics platforms healthy and compliant while enabling teams to deliver change safely. This role offers breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You will help reduce toil through automation and create space for engineers and data scientists to do their best work. In the Wholesale Credit Risk Technology Analytics team, you will own day‑to‑day governance, risk posture, and operational resiliency for the Wholesale Credit Risk Analytics application estate. Your responsibilities include keeping the system‑of‑record accurate, guiding work through firm controls, and ensuring releases move to production safely with minimal disruption. You will operate at the intersection of engineering, cyber, resiliency, and risk—translating firm‑wide mandates into clear, executable actions for application teams. While you don’t need to write every line of code, you must understand the platform end‑to‑end and own outcomes. You will partner closely with product owners, data scientists, machine learning engineers, site reliability engineers, and business stakeholders to deliver stable, scalable cloud‑native analytics. • Own application governance and records by maintaining accurate system‑of‑record information, certifications, and remediation workflows., • Drive permit‑to‑operate activities by coordinating required inputs, re‑certifications, and stakeholder responses to move changes safely into production., • Monitor and remediate risk findings by assessing impact, prioritizing actions with engineering teams, and driving closure within agreed timelines., • Approve access and control activities by enforcing least privilege, segregation of duties, and periodic access reviews in partnership with control owners., • Own resiliency and recovery readiness by maintaining recovery plans, supporting resiliency events, and partnering on testing and evidence collection., • Manage technology lifecycle work by identifying end‑of‑life or prohibited components and coordinating upgrades across dependencies and teams., • Lead firm‑wide initiatives and non‑functional tasks by maintaining a consolidated view, clarifying requirements, and tracking completion., • Lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post‑release validation., • Develop secure, high‑quality production code and contribute to technical troubleshooting, reviews, and continuous improvement., • Drive team adoption of enterprise‑authorized AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns., • Apply software development lifecycle toolchain knowledge, including enterprise‑authorized AI‑assisted development and automation capabilities, to increase the value realized through automation., • Bachelor's degree or equivalent practical experience., • Hands‑on experience delivering system design, application development, testing, and operational stability in an agile environment., • Proficiency in Python and Java., • Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices., • Working knowledge of cloud‑native delivery on Amazon Web Services (e.g., object storage, compute, containers, and managed data processing services)., • Understanding of technology risk, controls, and compliance concepts, including identity and access management and audit readiness., • Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security., • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to coach engineers on safe, compliant adoption within delivery practices., • Ability to understand an application end‑to‑end, including dependencies, data flows, and deployment topology., • Strong organization, prioritization, and communication skills, with the ability to influence partners without direct authority., • Comfort operating in ambiguity and translating broad mandates into an actionable backlog., • Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment., • Familiarity with Databricks and cloud data‑lake patterns using object storage as a core data store., • Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes, and infrastructure‑as‑code., • Understanding of resiliency concepts such as recovery time objectives, recovery point objectives, multi‑zone design, and disaster recovery testing., • Experience partnering with data science teams and business stakeholders to translate analytical needs into governed, compliant technology solutions., • Exposure to using AI‑assisted tooling to reduce operational toil while retaining strong human judgment and accountability., • Domain awareness of wholesale or commercial credit risk analytics and modernization from monoliths to microservices. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. #J-18808-Ljbffr

Spire Global is a space-powered data and analytics platform that offers unique insights and powerful solutions about Earth from the ultimate you can act now and plan for the future with confidence, accuracy and speed. Leveraging its proprietary multi-purpose satellite constellation and sophisticated predictive analytics, Spire gives commercial and government organizations an unprecedented competitive advantage to solve their toughest challenges, empowered with knowledge from space. Spire Global is currently embarking on projects that range from the design of advanced satellite communication and navigation systems to RF monitoring constellations. As part of the development of next-generation proprietary communication system, we are seeking a Senior RF Engineer with expertise in RF systems design, RF transceiver, low noise and power amplifier design, antenna arrays, and a solid background in space-based communications, navigation or RF monitoring systems. The ideal candidate will have hands‑on experience in high-frequency, high-power RF systems, ultra-sensitive receiver systems, with strong simulation and analytical skills. The candidate will work on designing, analysing, and optimizing advanced RF subsystems for satellite and aerospace applications. The candidate should have strong analytical and problem‑solving skills and be able to navigate in a fast‑changing dynamic and innovative environment. • Contribute proactively to the design and development of RF subsystems for our next generation of satellite communication, navigation or RF monitoring systems, • Component selection and circuit level design using PCB software (Altium preferred), along with simulation (CST, ADS preferred) where required; including transceivers for UHF, S-, X- and Ka-bands., • Management of RF modules through production & test, • RF module test and fault‑find at bench level, environmental level (EMC and thermal vacuum testing) and spacecraft level, • Lead RF testing, validation, and space qualification efforts for new and existing systems, • Develop test plans, and operational procedures, • Provide technical consultancy support to software engineering, payloads, satellite operations, and manufacturing teams, • BSc, MSc or Ph.D. degree in Telecommunications, Microwave or RF Electronics Engineering, • 5+ years of working experience on design, development and testing of RF systems, • Hands‑on RF simulation, design and manufacturing experience and fault‑finding during test, • PCB schematic capture and layout for RF circuits, • Experience with laboratory or field RF testing with relevant technical equipment such as Network Analyzer, Signal Analyzer and Signal Generator, • Measuring performance of passive and active circuits to provide data that backs up system requirements, including phase noise, compression points, associated chain losses and signal analysis, • Tuning of RF circuits to achieve optimal performance, • Proficient in simulation tools (ADS, CST, HFSS, MATLAB), • Proven track record of promoting cooperation and teamwork, • Demonstration of problem‑solving skills and solution‑oriented approaches when dealing with challenges, • Flexibility to shifting priorities and operational requirements, • Attention to detail, highly organized with clear communication skills, • Proficiency in scripting languages and testing tools (Python preferred), • Strong background in high-frequency RF systems (e.g., Ku-band, Ka-band), • End‑to‑end RF system analysis, simulation, and optimization, • Knowledge of frequency spectrum management, • Knowledge of state‑of‑the‑art RF analog and high‑speed digital signal processing techniques and technologies using Xilinx/AMD MPSoC/RFSoC., • Passive and active antenna design, and antenna measurement techniques, • Experience of power supply design and EMI mitigation techniques, • Experience of digital circuit design including microcontroller, FPGA and high‑speed transceivers Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. Access to US export‑controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. • Name Your Satellite Program (NYSP), • Launch Attendance, • Generous Time Off Policy, • Education Assistance Program, • Employee Assistance Program (EAP), • Employee Stock Purchase Program (ESPP), • Family Leave, • Fitness Reimbursement, • Employee Referral Program, • Healthy snacks & beverages in every office Spire is a global company committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. All candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible. As a Lead Software Engineer at JPMorgan Chase within the Core Foundational Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Develops secure high‑quality production code, and reviews and debugs code written by others, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Sets strategy and operating standards for agentic AI‑enabled engineering across a portfolio (using enterprise‑authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI‑orchestrated SDLC/TLM automation, release readiness gating, incident triage/root‑cause acceleration, and large‑scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation at scale., • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies, • Adds to team culture of diversity and opportunity., • Formal training or certification on software engineering concepts and 5+ years applied experience, • Hands‑on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s) ideally including one of Go, Python, React, Java,, • Proficiency in Terraform, Ansible or other automation and continuous delivery methods., • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • In‑depth knowledge of the financial services industry and their IT systems, • Demonstrated experience designing and scaling agentic AI‑enabled development patterns (using enterprise‑authorized tools within the work environment) across teams/functions, including establishing governance for human‑in‑the‑loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs., • Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk‑based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes., • Practical cloud native experience, • Experience in Infrastructure Architecture designs, • Experience in AWS EKS, GCP GKE ecosystems a plus, • Knowledge of industry‑wide technology trends and best practices, • Knowledge of multiple Cloud Platforms, • Proficiency in database technology such as Oracle / MS SQL / Cockroach J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. #J-18808-Ljbffr

Company Description ALTEN is a global engineering and technology consultancy operating across over 35 countries worldwide. We partner with industry leaders across sectors including Aeronautics, Aerospace, Defence, Naval, Automotive, Energy, Rail, IT and many more to deliver innovative engineering solutions that drive technological advancement & support sustainable transformation. Our teams of passionate and agile engineers work on cutting-edge projects that shape the future of technology and sustainability. At ALTEN, we empower talented engineers to innovate, solve complex challenges, and deliver impactful solutions that build tomorrow’s world—today. Join us and start building tomorrow’s world today! Job Description Join our team as an Embedded Software Engineer and contribute to the development of complex, safety‑critical embedded software for defence and other highly regulated engineering environments. You will be involved in the design, development, and integration of high‑integrity software, working on technically challenging systems where quality, robustness, and reliability are critical. This is a hands‑on, on‑site role within a fast‑moving programme, working alongside multi‑disciplinary engineering teams to deliver embedded software solutions that meet demanding functional and safety requirements. Location: Central belt of Scotland (Multiple sites) On-site: 3-4 days per week Seniority: Mid–Senior (5+ years’ experience) Clearance: Candidates must be willing and eligible to obtain SC clearance. Key Responsibilities Design, develop, and maintain embedded C++ software for complex, safety‑critical systems Apply structured and model‑based design approaches to support scalable and maintainable software architectures Collaborate closely with systems and hardware engineers to integrate software onto target platforms Ensure compliance with safety and coding standards such as DO‑178C and MISRA C/C++ Support system integration, verification, and validation activities within lab‑based environments Contribute to delivery within an Agile development framework, supporting continuous improvement and quality Qualifications Required Skills Strong experience developing C++ software within embedded or safety‑critical environments Solid grasp of object‑oriented design (OOD) principles Background working in defence, aerospace, or similarly regulated industries Familiarity with safety‑critical development standards (e.g. DO‑178C, MISRA C/C++) Experience working in Agile teams, using tools such as Jira, Confluence, and Git‑based version controlSoft Skills & Collaboration Analytical mindset with strong problem‑solving ability Confident communicator within cross‑disciplinary engineering teams Comfortable working in high‑assurance, process‑driven environments Proactive approach to quality, compliance, and technical ownershipRequired Qualifications A Bachelor’s or Master’s degree in Software Engineering, Computer Science, or a related discipline or relevant technical military background with equivalent hands-on experience. Must be eligible for or already hold UK Security Clearance (SC) Desirable Skills Exposure to model‑based or UML‑driven development, using tools such as IBM Rhapsody or similar Experience with requirements or configuration management tools (e.g. DOORS, Dimension) Hands‑on involvement in software integration, verification, or lab‑based testing Background in real‑time systems, embedded platforms, or complex system development Additional Information Why join us? We bring together entrepreneurial, tech-driven people to deliver innovative solutions for leading companies. At ALTEN, you’ll work on exciting projects, supported by ongoing learning, mentoring, and clear career development tailored to your goals. Join a passionate team and help build tomorrow, today. In short you get: A personalised career path and a rewarding management style A huge diversity of engineering projects and industries Private Medical Insurance Cycle & Tech Scheme Employee assistance programme Life insurance & Pension Scheme Social atmosphere, regular gatherings & team buildings Flexible way of working (role dependent)We are proud to support the Armed Forces Covenant & actively encourage applications from members of the Armed Forces community, including veterans, reservists, service leavers, and military spouses/partners. We recognise the value of military skills and experience and are committed to ensuring that no applicant is unfairly disadvantaged during our recruitment and selection processes. ALTEN is committed to fostering a diverse and inclusive workplace and values the strength that comes from a global mix of backgrounds and perspectives. We welcome applications from all suitably qualified candidates, regardless of background or protected characteristics under the Equality Act 2010. If you require any reasonable adjustments during the recruitment process, please let us know. This role may require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website (url removed). If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected . Details of this will be discussed with you at interview

Your new role As the Validation Engineer, you will be responsible for delivering qualification and validation activities across laboratory and manufacturing systems. Key responsibilities will include: Authoring, reviewing and executing validation documentation including Validation Plans, Risk Asse

Were supporting a growing manufacturing business in a regulated environment with the appointment of a Senior Validation Engineer / Validation Manager to support a significant pipeline of validation activity on site. Senior Validation Engineer / Validation Manager (Quality). This is a hands-on role f

As the Validation Engineer, you will be responsible for delivering qualification and validation activities across laboratory and manufacturing systems. Authoring, reviewing and executing validation documentation including Validation Plans, Risk Assessments, IQ, OQ and PQ protocols and Validation Sum

To provide or assist with the provision of a full and comprehensive janitorial service within the relevant location and to undertake the cleaning of designated areas within the premises and ensure that they are maintained in a clean and hygienic condition.Duties include to ensure the security of the

I’m supporting a leading main contractor based in Glasgow as they look to appoint an experienced Project Manager to help deliver a strong pipeline of high-value projects.This is an excellent opportunity to join a progressive contractor with a reputation for quality, collaboration, and successful p

Please note that salary will be pro-rated for part-time and term time hours.This position is 40 weeks per year.We have a number of cleaning positions across East Dunbartonshire within education and corporate premises.There are a variety of hours including morning shifts between 6am – 9am and eveni

Coordinate internal engineering, commercial and project delivery teams. Degree, HND or equivalent qualification in Engineering, Construction Management, Project Management or a related discipline.

INTERNAL APPLICANTS MUST APPLY VIA MYSELF.We are looking for an enthusiastic and reliable individual to join our team and help ensure our school environment remains clean, safe, and welcoming for pupils, staff, and visitors.As a Cleaner, you will play an important role in maintaining high standards

To provide or assist with the provision of a full and comprehensive janitorial service within the relevant location and to undertake the cleaning of designated areas within the premises and ensure that they are maintained in a clean and hygienic condition.Duties include to ensure the security of the

INTERNAL APPLICANTS MUST APPLY VIA MYSELF.We are looking for an enthusiastic and reliable individual to join our team and help ensure our school environment remains clean, safe, and welcoming for pupils, staff, and visitors.As a Cleaner, you will play an important role in maintaining high standards

This is an excellent opportunity to take on a senior leadership role where you'll have real influence over the successful delivery of a complex, high-value civil engineering project while working alongside experienced industry professionals. Lead the successful delivery of a major civil engineering

At least three years' programme planning experience, ideally with involvement in new build, maintenance, operations, infrastructure, engineering, or capital projects. Experience working with engineering, operational, or asset management interfaces.

To provide or assist with the provision of a full and comprehensive janitorial service within the relevant location and to undertake the cleaning of designated areas within the premises and ensure that they are maintained in a clean and hygienic condition.Duties include to ensure the security of the

INTERNAL APPLICANTS MUST APPLY VIA MYSELF.We are looking for an enthusiastic and reliable individual to join our team and help ensure our school environment remains clean, safe, and welcoming for pupils, staff, and visitors.As a Cleaner, you will play an important role in maintaining high standards

Lead multidisciplinary teams across engineering, construction, commercial and project controls. Degree qualified (or equivalent) in Engineering, Construction, Project Management or a related discipline.

ACTUAL CLOSING DATE: Applications must be received by Thursday 16th July 2026 at 11:55pm.Please ensure that you read the full advert text and do not submit a CV, as these will be disregarded as they do not form part of SLC application process.If you require to submit additional information to suppo

Cleaner required for Cruden Bay public toilets, 5 hours per week, M/W/T/F/S.Responsible for cleaning premises to required standard.This role may require flexible, evening and weekend working.There is a responsibility for the post holder to demonstrate a commitment to quality service delivery through

Relief Homecare Night Support Worker.Earlston, Lauder & Melrose (Central).SVQ2 or equivalent is desirable but not essential.You can earn whilst you learn!.PVG Adults – we will do this for you! SSSC registered.A current driving licence and use of a vehicle is essential.We focus on these five princi

ACTUAL CLOSING DATE: Applications must be received by Thursday 23 July 2026 at 11:55pm.Please ensure that you read the full advert text and do not submit a CV, as these will be disregarded as they do not form part of SLC application process.If you require to submit additional information to support