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We’re working with a leading tech company in the North East who are looking for an Automation QA Engineer to play a key role in maintaining the quality and reliability of their cutting-edge platform. This hybrid role requires 2 days a week in the Newcastle-upon-Tyne office. What you’ll be doing: • Design, develop, and maintain automated test scripts using modern tools and frameworks, • Collaborate with cross-functional teams to understand project requirements and apply the right testing methodologies, • Identify opportunities to enhance automation across the testing process, improving efficiency and coverage, • Conduct thorough regression testing to ensure platform stability during new feature rollouts, • Perform root cause analysis for test failures and work closely with developers to resolve issues quickly, • Create and maintain test data, environments, and harnesses required for automated testing, • Monitor, analyse, and report on test results to key stakeholders, • Proactively contribute to improving testing processes and practices across the team, • Keep up to date with the latest QA tools and best practices, sharing insights with the wider team What they're looking for: • Strong proficiency in C#, • Experience in automation testing, including functional and data validation, • Ability to translate business requirements into comprehensive test cases, • Experience working with APIs, databases, and version control systems (e.g. Git), • Excellent analytical and problem-solving skills with a sharp eye for detail, • Strong communication skills and a collaborative approach, • Proactive mindset with the ability to take ownership of tasks and drive improvements If you're interested, apply now, and a member of our team will be in touch!

Freelance Remote Opportunity: Tech Lead – GenAI Code Initiatives We’re seeking an experienced Tech Lead / Senior Software Engineer to spearhead our GenAI Code Initiatives. This is a hands-on, freelancing remote role focused on evaluating, improving, and advancing AI-driven code generation systems. Key Responsibilities • Code Generation & Refinement: Write, evaluate, and refine complex code solutions. This is a hands-on technical role, not purely managerial., • Code Validation: Design and implement advanced frameworks to rate and test model-generated code, including automated test suites and benchmarking systems., • Code Quality & Efficiency: Analyze and enhance both human-written and model-generated code for performance, correctness, and maintainability., • Experience: 7–10+ years of proven experience in building and deploying complex software solutions., • Languages (Priority): Strong proficiency in Python, Java, C, C++, or JavaScript — especially for evaluating and refining model-generated code., • Code Evaluation Expertise: Skilled in developing test harnesses, assessing code for correctness, efficiency, and security, and defining measurable code quality metrics., • Priority Languages: Python, Java, C, C++, JavaScript, • Domain Expertise: STEM fields, data analysis/science, or data visualization, • Technical Stack: Web visualization platforms, SQL/databases, JSON, HTML, Markdown, and modern data libraries. As a Tech Lead for GenAI Code Initiatives, you will: • Accelerate Development: Streamline validation and refinement of AI code models., • Ensure Quality: Guarantee production-grade, secure, and efficient model outputs. 🕓 Engagement: Part-time or full-time contract 💼 Experience Level: Tech Lead / Senior Software Engineer If you’re passionate about building the future of AI-assisted coding, we’d love to hear from you. 📧 Apply now with your CV, hourly rate, and availability.

Job Title: Artificial Intelligence Engineer (Databricks) Rate: DOE (outside IR35) Location: Remote Contract Length: 6 months A consultancy client of ours have secured a project requiring a Databricks focused Artificial Intelligence Engineer. This is an exciting opportunity to work on cutting-edge machine learning projects, building scalable ML pipelines and cloud-based systems that deliver real-world impact. Key Responsibilities: • Lead the design, development, and optimisation of scalable machine learning workflows using Azure Databricks, • Build and deploy robust ML pipelines leveraging Delta Lake, MLflow, notebooks, and Databricks Jobs, • Apply advanced knowledge of Databricks architecture and performance tuning to support production-grade ML solutions, • Collaborate with data scientists, data engineers, and analysts to operationalise machine learning models at scale, • Champion the use of Databricks-native features (e.g., Unity Catalog, MLflow Model Registry, AutoML) to improve model lifecycle management, • Migrate legacy model training and scoring workflows into unified Databricks-based pipelines, • Ensure best practices in model reproducibility, governance, monitoring, and security within the Databricks environment, • Act as a subject matter expert on Databricks ML capabilities, advising on architecture, tools, and integrations, • Mentor peers and junior engineers on ML engineering practices, with a focus on MLOps and Databricks workflows, • Continuously improve the machine learning platform, tooling, and deployment practices to accelerate delivery Experience and Qualifications Required: • Deep hands-on experience with Azure Databricks, particularly in developing and deploying machine learning solutions using Delta Lake, MLflow, and Spark ML/PyTorch/TensorFlow integrations, • Strong programming skills in Python (including ML libraries like scikit-learn, pandas, PySpark) and experience using SQL for data preparation and analysis, • Experience orchestrating end-to-end ML pipelines, including data preprocessing, model training, validation, and deployment, • Solid understanding of MLOps principles, including model versioning, monitoring, and CI/CD for ML workflows, • Familiarity with Azure cloud services, including Azure Data Lake, Azure Machine Learning, and Data Factory, • Experience with feature engineering, model management, and automated retraining in production environments, • Knowledge of data governance, security, and regulatory compliance in the context of ML workflows, • Strong problem-solving skills, with the ability to debug and optimise distributed ML pipelines, • Proven track record of delivering machine learning models in production within enterprise-scale environments, • Excellent communication and collaboration skills, with experience engaging both technical and business stakeholders, • Experience mentoring others and promoting best practices in ML engineering and Databricks usage If this sounds like an exciting opportunity please apply with your CV.

Location: Edinburgh (Remote– occasional on-site as required) Contract: 6 Months Start Date: ASAP Rate: Market Rate - Inside IR35 About the Role We are seeking an experienced PSA Engineer (DTS) to join a leading technology and transformation project within the energy and utilities sector. This is a hands-on engineering role focused on maintaining, configuring, and optimising Energy Management Systems (EMS) and Dispatcher Training Simulator (DTS) environments. You’ll play a key role in ensuring high availability and reliability of critical EMS applications while contributing to ongoing development, model validation, and defect resolution. Key Responsibilities • Gather requirements and define Epics and User Stories., • Administer and optimise EMS applications (preferably GE PowerOn Reliance (XA21) or AEMS)., • Configure and troubleshoot protocols such as ICCP, IEC, DNP3, Modbus, and data modelling (XML/JSON)., • Perform model validation and event creation for Dispatcher Training Simulator (DTS)., • Implement fixes, patches, and upgrades in live customer systems., • Conduct code reviews, deployments, and testing activities., • Support and restore EMS services during incidents. Skills & Experience Required • 5+ years’ experience in Power System Applications (Power Flow, State Estimator, Contingency Analysis, AGC, DTS)., • Strong technical understanding of EMS/SCADA systems and related applications., • Proficiency in Linux and Windows environments., • Knowledge of Oracle and SQL Server databases., • Experience with C/C++, PERL, Shell scripting, or SQL scripting., • Familiarity with simulation tools (Simulated RTU/IED/Console)., • Excellent problem-solving skills with experience in troubleshooting complex EMS systems. Desirable • Experience with GE XA21, eTerra, or AEMS platforms., • Hands-on experience with DTS, ADMS, or SCADA., • Exposure to QTest or Grip tools., • Strong understanding of electrical transmission modelling.

Job Summary: We are seeking a detail-oriented Software Quality Assurance (QA) Engineer to ensure the quality and reliability of software applications through rigorous testing and validation. The ideal candidate will have a strong understanding of QA methodologies, excellent analytical skills, and experience in both manual and automated testing. Key Responsibilities: • Design, develop, and execute test plans and test cases based on product requirements., • Perform functional, regression, integration, and performance testing on web, mobile, or desktop applications., • Identify, record, and thoroughly document bugs and issues., • Collaborate closely with developers, product managers, and other stakeholders to clarify requirements and resolve defects., • Develop and maintain automated test scripts using tools like Selenium, Cypress, or similar., • Participate in Agile development processes, including sprint planning and retrospectives., • Contribute to continuous improvement of QA practices and tools. Required Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • Understanding of software QA methodologies, tools, and processes., • Experience with manual testing and familiarity with test case management tools (e.g., TestRail, Zephyr)., • Working knowledge of at least one programming/scripting language (e.g., Python, JavaScript, Java) for test automation., • Familiarity with bug tracking systems (e.g., JIRA, Bugzilla)., • Strong attention to detail and problem-solving skills., • Experience with automated testing frameworks (e.g., Selenium, Cypress, Playwright)., • Familiarity with CI/CD tools and workflows (e.g., Jenkins, GitHub Actions)., • Exposure to performance testing tools (e.g., JMeter, LoadRunner)., • Knowledge of API testing tools like Postman or SoapUI., • Experience in Agile or DevOps environments.

🤖 5x AI Solutions Engineers | Outside IR35 | Remote (UK) | 6-Month Contract Role Summary The successful AI Solutions Engineer will extend and enhance our AI Operating System, which leverages LLMs to solve industry-specific challenges across defence, legal, health, infrastructure and management consulting sectors. This is a hands-on lead role focused on rapidly prototyping and deploying AI-powered solutions. Working directly with clients, you will translate their needs into scalable, production-ready AI applications using modern frameworks and techniques. Duties & Responsibilities Technical Development ● Develop platform functionality using Python, building APIs and integrations to extend capabilities for diverse client needs. ● Design and implement LLM-powered applications and workflows using open source models such as Llama, Qwen and Gemma, as well as those online models from OpenAI, Gemini, etc. ● Build AI agents with tool/function calling, prompt engineering and appropriate guardrails using frameworks such as OpenAI AgentSDK, LangGraph or LlamaIndex. ● Implement testing and evaluation frameworks for LLM applications, covering prompt testing, output quality metrics and agent behaviour validation. ● Apply relevant AI technologies as needed, including retrieval systems (RAG, GraphRAG), knowledge graphs, vector databases or data pipelines. Role Requirements Work Experience ● At least five years as a software engineer on commercial platforms, with demonstrable experience building production LLM-powered applications. ● Proven experience with API-level LLM usage, including tool/function calling, prompt engineering and evaluation. ● Experience with agent frameworks (OpenAI AgentSDK, LangGraph, LlamaIndex Agents or similar). ● Experience developing APIs using FastAPI or similar frameworks and integrating with third-party platforms. ● Direct client-facing experience gathering requirements and delivering technical implementations. ● Experience within agile development workflows and engineering teams. Skills & Abilities ● Strong Python (or similar) programming skills with a focus on production-grade applications. ● Excellent communication abilities, translating complex technical concepts for diverse audiences. ● Strong analytical and problem-solving approach, identifying scalable and reusable solutions. ● Leadership qualities, including technical mentorship, team collaboration and line management. ● Ability to align solutions with business goals and industry-specific constraints. ● Self-sufficient contributor capable of working independently and seeking support when needed. Nice to Have The following are examples of specialised areas that would be valuable. Deep expertise in some of these areas is preferred over surface-level knowledge across all domains. ● Open source LLMs (Llama, Qwen, Gemma, GPT OSS) and local deployment strategies. ● Frameworks and protocols such as Model Context Protocol (MCP) or Agent-to-Agent (A2A). ● LLM evaluation tooling (OpenAI Evals, LangSmith, custom evaluation harnesses). ● Advanced agent patterns: multi-agent systems, supervision, delegation strategies. ● RAG, GraphRAG and knowledge graph design and implementation. ● Vector databases and similarity search systems. ● Graph databases (ArangoDB, Neo4j, Neptune) and property graph modelling. ● Data engineering: ETL pipelines, document processing, schema design for AI applications. ● Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker). ● Observability and monitoring for LLM applications (tracing, metrics, cost tracking). ● Secure coding practices for regulated industries and sensitive data handling.

Company Overview Eeze is a leading innovator in the iGaming industry, specialising in the design, development, and delivery of live casino games. As we expand our operations in the European market, we are committed to pushing the boundaries of gaming experiences, offering cutting-edge, immersive live casino games that are tailored to the unique needs of our clients and their audiences. Our work culture promotes collaboration, creativity, and innovation, all while encouraging a startup mindset. Job Overview As a DevOps Engineer, you will play a critical role in streamlining our development processes, ensuring smooth deployments, and maintaining the resilience and security of our infrastructure. You will work closely with cross-functional teams, implementing cutting-edge solutions to optimise software development lifecycles and ensure high availability, performance, and compliance of our platforms. This role demands a high level of technical expertise in cloud infrastructure, automation, and containerisation, as well as an ability to quickly resolve complex issues under pressure. You will be responsible for overseeing global cloud infrastructure, implementing scalable CI/CD pipelines, and managing Kubernetes clusters, among other key responsibilities. The ideal candidate will have a deep understanding of AWS technologies and experience in automating infrastructure to maintain agility in a fast-paced environment. Key Responsibilities • CI/CD Pipeline Implementation: Architect, develop, and optimise automated Continuous Integration/Continuous Deployment (CI/CD) pipelines using industry-standard tools (Jenkins, GitLab, Argo). Ensure pipelines follow best practices to expedite software releases, while maintaining high-quality standards and minimizing risks., • Container Orchestration: Manage, maintain, and scale Kubernetes and Docker clusters across various jurisdictions with different regulatory requirements, ensuring that platforms remain secure, compliant, and efficient., • Infrastructure as Code (IaC): Design, automate, and manage AWS infrastructure using Terraform, adhering to infrastructure-as-code principles to enable fast, repeatable, and consistent provisioning of environments. Ensure cloud resources are highly scalable, reliable, and optimized for cost., • Incident Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity., • Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency., • Cloud Infrastructure Management: Oversee the management of global cloud infrastructure (primarily AWS) to ensure seamless integration, scaling, and resilience. Maintain services like AWS EC2, ECS, EKS, VPC, and Transit Gateways., • UAT Environment Management: Build and maintain high-quality User Acceptance Testing (UAT) environments to ensure that pre-production testing mirrors production environments, allowing rigorous and reliable software validation before live releases., • Monitoring & Maintenance: Perform daily monitoring and maintenance of infrastructure and services to ensure maximum availability, performance, and security. Proactively identify potential issues and implement preemptive solutions., • On-call Support: Participate in a rotating on-call schedule, providing expert support to resolve urgent incidents and ensure that systems are operational 24/7. Experience • Minimum of 5 years in a DevOps Engineer or similar role, with proven experience managing, • CI/CD pipelines, cloud infrastructure, and containerised environments., • CI/CD Expertise: Hands-on experience with CI/CD tools and methodologies such as Jenkins,, • GitLab, ArgoCD, and Nexus. Demonstrated ability to implement fully automated, reliable, and scalable CI/CD solutions., • Infrastructure Automation: Proficient in using Terraform or similar Infrastructure-as-Code tools to automate the provisioning, configuration, and management of cloud resources., • Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus., • Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale., • Database Familiarity: Solid understanding of database systems such as Oracle, PostgreSQL,, • MongoDB, with an ability to optimise their integration into cloud-native infrastructure., • Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar., • Experience with automation tools like Unusable for automating infrastructure tasks., • Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues efficiently under pressure., • Collaboration & Communication: Excellent verbal and written communication skills, with the ability to work independently and as part of a cross-functional team spanning multiple locations (Malta, London, and Romania).

Job Title: Senior Data Engineer (Azure / Databricks) Location: UK (Flexible Hybrid) Salary: Up to £75,000 + Benefits Are you an engineer who loves working with Databricks? Do you get excited by writing production-grade code to build, scale, and solve complex data platform challenges? I'm hiring for a global leader in the digital communications space. Their high-throughput platforms process billions of critical messages annually for businesses worldwide. This is a high-scale environment where your work will directly build the future of their global data strategy. We are looking for a Senior Data Engineer to design, build, and own the data backbone of their global platforms. Your mission will be to engineer the critical data pipelines and warehousing solutions that transform billions of messages into trustworthy, actionable insights. What You'll Actually Do: • Design & Build Data Pipelines: Take full ownership of designing, building, and managing the full lifecycle of complex data pipelines using Azure Data Factory, Databricks (Python/PySpark), and advanced SQL., • Productionise Databricks: Lead the development of robust, scalable solutions on Databricks. This is role focused on production code, Delta Lake, Structured Streaming, and Spark performance tuning—not just ad-hoc notebooks., • Champion DataOps & CI/CD: Implement and manage CI/CD processes for data pipelines using Azure DevOps. You will be responsible for automating testing, validation, and deployment to ensure data is reliable and trustworthy., • Engineer the Data Warehouse: Design and build scalable data models (e.g., medallion architecture, dimensional models) to support analytical workloads, ensuring data is optimised for BI and reporting., • Manage Data Infrastructure: Configure and optimize the underlying data infrastructure from a data engineering lens. This includes managing Databricks clusters, Spark configurations, and ADLS Gen2 storage to ensure high performance and cost-efficiency., • Partner Across the Business: Partner with Data Analysts, Product Managers, and business leaders to translate requirements into technical designs. You will be the expert voice on data availability, quality, and governance. What You'll Need: • Azure Data Expertise: Deep experience in the Microsoft Azure data ecosystem, especially Azure Data Factory, Databricks, and ADLS Gen2., • Must-Have Databricks Expertise: Strong, hands-on, commercial experience with production-grade Databricks. You must be someone who lives in code, understands distributed systems, and can performance tune complex Spark jobs., • Strong DataOps / CI/CD Experience: A proven background in implementing and managing CI/CD pipelines for data solutions, specifically using Azure DevOps., • Expert Programming Skills: Expert-level skills for data transformation and automation, especially in Python (PySpark) and advanced SQL., • Data Warehousing & Modelling: Proven experience in data warehousing principles and designing data models (e.g., dimensional, medallion) to support analytics., • Exceptional Communication: The ability to translate complex data concepts and trade-offs to non-technical stakeholders, building trust and consensus., • Data Infrastructure Knowledge: Experience with Infrastructure as Code (e.g., Terraform) for managing data resources is a significant plus. What's In It For You? This company truly invests in its people. The benefits package is outstanding: • Generous Leave: 27 days holiday + bank holidays + an extra day off for your birthday., • Work-Life Balance: True flexible hybrid working. Once a month meet-ups, if that., • Growth: An unlimited budget for your professional and personal development., • Financial & Family: A basic salary up to £75.000 basic. Enhanced family leave, retirement planning, healthcare, and life assurance., • Culture: A great, supportive culture with paid volunteer days ("giving back" days) and fun team socials. This is a chance to join a stable, global leader and do real, production-grade data engineering. Interested? Apply now to find out more.

Senior Frontend Engineer Opportunity: Permanent Salary: Up to £95k Hybrid: Flexible UK-based Office Location: London, Manchester or Middlesbrough (Candidates must be within commutable distance to one of these office locations, as this role will require on-site attendance.) About the Opportunity My client, a fast-growing digital experience platform serving major retailers globally, is seeking a Senior Frontend Engineer to join their presales technical team. You'll architect and build the demonstration experiences that showcase platform capabilities to prospective customers. The Role This position bridges engineering excellence with customer engagement. You'll design and develop interactive prototypes that transform technical functionality into tangible business solutions during sales cycles. Importantly, you'll be equally comfortable writing high-quality code as you are presenting your work to senior stakeholders—both technical and business-focused. Your work will directly influence deal progression by making complex capabilities immediately understandable and relevant to enterprise retail customers. What You'll Do • Take ownership of their Next.js demonstration platform—ensuring optimal performance and alignment with evolving capabilities, • Architect a scalable library of modular demo components that support diverse customer scenarios across retail and B2B contexts, • Rapidly develop bespoke prototypes for strategic opportunities requiring tailored technical validation, • Build integrations with major commerce platforms to demonstrate functionality in familiar retail environments, • Collaborate with presales consultants to translate customer requirements into compelling technical demonstrations, • Present and articulate technical architectures, data flows, and solution benefits to stakeholders at all levels, • Partner across Sales Engineering, Product Marketing, and Customer Success to align demonstration narratives with value propositions, • Contribute to technical workshops, discovery sessions, and architecture reviews to help customers visualize their content journey, • Oversee deployment infrastructure and maintain environment stability, • Investigate emerging frontend technologies and AI applications to advance demonstration methodologies, • Provide technical mentorship and elevate engineering standards across the solutions team What You'll Bring • Demonstrated expertise in JavaScript/TypeScript, React, and Next.js with production deployment experience, • Professional background implementing or integrating CMS or eCommerce solutions with headless or composable platforms, • Proficiency building API integrations (REST/GraphQL) within enterprise architectures, • Experience with component-driven development using modern CSS approaches, • Strong command of modern development workflows—version control, CI/CD, cloud deployment platforms, • Understanding of content modeling, API orchestration, and digital experience architectures, • Ability to articulate technical architecture and approaches to both technical and business audiences, • Proven experience designing and presenting POCs or demonstrations in enterprise software or presales environments, • Confident communicator capable of leading technical discussions and delivering live demonstrations to senior stakeholders, • Capacity to manage competing priorities and deliver quality results under timeline pressure, • Technically curious, commercially aware, and quality-driven with strong collaborative skills Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, that’s redefining financial access for immigrants and international communities worldwide. Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive financial products all built on modern technology designed to remove friction, reduce cost, and empower users wherever they are. With operations spanning 15+ countries and integrations with banks, payment providers, and mobile wallets, this company is building the first full-stack financial ecosystem for the world’s immigrant population. They’re now hiring a Data Engineer to help scale the data infrastructure that powers their rapidly growing lending business. The Role This is a hands-on engineering role for someone passionate about building robust data systems that directly enable smarter, faster, and fairer credit decisions. You’ll design, develop, and maintain data pipelines that power underwriting, credit decisioning, and portfolio analytics, working closely with cross-functional teams in risk, product, and data science. Your work will sit at the heart of the business, enabling automation, risk monitoring, and data-driven insights that shape next-generation credit products for underserved markets. What You’ll Be Doing • Design, build, and maintain scalable data pipelines supporting credit risk modelling, underwriting, and portfolio management., • Ingest data from diverse sources - including ledgers, transaction systems, credit bureaus, open banking APIs, and third-party providers., • Implement automated processes for data validation, anomaly detection, and quality control to ensure accuracy and reliability., • Deliver production-ready datasets that power credit decision engines and affordability models in real time., • Partner with cross-functional teams (credit risk, data science, product, compliance) to understand business requirements and deliver tailored data solutions., • Monitor infrastructure performance, optimise for scalability, and troubleshoot issues proactively., • Maintain documentation of data flows, transformations, and business logic, supporting strong governance and compliance standards. What You’ll Bring • 2+ years’ experience as a Data Engineer (or similar), ideally in consumer lending, fintech, or financial services., • Strong hands-on skills in SQL, Python, and modern data engineering tools such as Snowflake, dbt, and Dagster., • Experience handling transactional data, credit bureau data, or open banking APIs., • Understanding of data quality, lineage, and governance in regulated environments., • Comfortable working cross-functionally and turning raw, complex data into clean, production-ready datasets., • Curious, collaborative, and energised by working in a fast-paced, mission-driven fintech environment. If you're a Data Engineer, based in the UK, looking for your next opportunity, we'd love to hear from you!

Our clientOur client is a market leading engineering business with a site in the Tyne and Wear area. They have recently won new long term contracts and have a well established customer base across several highly regulated sectors.They are hiring a Test Engineer to join a small, collaborative team working on the validation of complex electronic systems.The opportunityThis is a hands-on role focused on ensuring products meet compliance and safety standards through automated and manual testing processes. You’ll work closely with development teams while maintaining independent testing protocols.Key Responsibilities: • Operate and maintain automated test systems (no need to design from scratch)., • Execute test procedures, interpret results, and support fault analysis., • Read and apply technical specifications to ensure compliance., • Contribute to continuous improvement of testing processes and documentation. About youWhat We’re Looking For:, • Experience in a test environment (not just general electronics or assembly)., • Familiarity with Python (used in test automation)., • Understanding of electrical and software engineering principles., • Ability to follow structured, safety-critical processes. Who Should Apply:, • Graduates in Computer Science, Electrical Engineering, or similar., • Technicians with hands-on testing experience., • Mid-level engineers s...

DeltaV Commissioning Role Onsite in Belfast We’re looking for a DeltaV Automation Engineer to support a new project within a fast-paced, regulated pharma environment. This role offers the chance to work across manufacturing, utilities, and labs. They're hiring 5 engineers for both junior and senior roles, with experience ranging from 3 to 10 years. Key Responsibilities: • Configure and support Emerson DeltaV DCS systems in line with GMP standards, • Collaborate with process, validation, and quality teams on commissioning and qualification, • Author and maintain batch recipes, tune loops, and manage alarms, • Troubleshoot and resolve automation issues using structured change control, • Contribute to FAT/SAT, validation, and system lifecycle documentation Ideal Experience: • Hands-on experience with Emerson DeltaV (v11–v14 preferred), • Knowledge of S88 batch control, GAMP5, and GMP environments, • Experience in pharma, biotech, or other regulated manufacturing sectors, • Familiarity with PLCs, SCADA, OSI PI, or MES is a plus Apply directly or reach out: By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

Excel Technical Consulting have a new and exciting role available in the East of England to oversee and take accountability for the Integration and Systems Validation (ISV) functions lead for missile compatibility and integration. You will be the Lead Functional Integration Engineer holding responsibilities for specific missile programmes within the ISV function as well as supporting the Chief Systems Engineer in the delivery of various system integration activities regarding test missile and munition equipment. Your daily tasks as lead for the department could include: • Liaising with various project stakeholders to plan key design verification and evidence,, • Manage and mentoring Integration Engineers,, • Taking a hands-on and practical approach in the planning and conduct of integration and compatibility proving activities where required,, • Working collaboratively with internal departments such as systems and software project teams. Overall, we are looking for a determined and experienced candidate with a deep understanding of hardware/software integration and test activities as well as a familiarity in using both lab test equipment and data analysis tooling/methods. In return for your extraordinary experience, our client is looking to offer a competitive salary with generous benefits that express your importance to their operations. If you are a highly dedicated person, holding the exact/similar experience to the described profile above, please do not hesitate to apply now to discuss the finer details for the position. Due to the nature of this position, applicants must be able to gain UK Security Clearance.

Senior Data Engineer – Data Modelling Location: UK-based (Remote) Security Clearance: Must be eligible for BPSS Security Clearance (minimum 5 years’ UK residency required) Overview An exciting opportunity has arisen for a Senior Data Engineer – Data Modelling to join a large-scale digital transformation programme within a secure, enterprise environment. The role focuses on designing and implementing data mapping and modelling solutions that enable the movement, transformation, and alignment of data across multiple platforms and systems. You will work closely with architects, business analysts, and technical stakeholders to ensure data is modelled, mapped, and migrated accurately and efficiently, supporting high-impact decision-making and operational excellence. Key Responsibilities • Analyse and interpret source and target data structures (e.g. databases, XML, JSON, CSV, EDI) to define and document data mappings., • Develop and maintain data modelling and mapping specifications, transformation logic, and integration rules., • Ensure semantic alignment and integrity between data systems through collaboration with domain experts., • Maintain a strong focus on data quality, validation, and governance across all stages of transformation., • Validate mapping outputs, troubleshoot data discrepancies, and document metadata for traceability., • Contribute to the development of best practices, documentation standards, and process improvements., • Support secure and compliant data management in line with internal and governmental standards. Key Skills and Experience Essential: • UK National with a minimum of 5 years’ continuous residency (Must already have BPSS Clearance)., • Experience with enterprise asset management systems (e.g. IBM Maximo)., • Strong experience in data modelling, including conceptual, logical, and physical layers., • Proven track record in data mapping, data transformation, or data integration roles., • Hands-on experience with structured and semi-structured data formats (XML, JSON, CSV, EDI, XLSX)., • Skilled in SQL and familiar with one or more major relational databases (e.g. PostgreSQL, Oracle, SQL Server)., • Demonstrated ability to design and optimise ETL or data pipeline solutions., • Strong communication and stakeholder collaboration skills., • Commitment to maintaining data accuracy, quality, and governance standards. Desirable: • Familiarity with ETL or data integration tools such as DataStage, Talend, or Palantir Foundry., • Knowledge of XML transformation (XSLT), BPMN, UML, or Excel-based mapping documentation., • Experience working within secure government or defence environments.

🚀 Senior Agentic AI Engineer 🚀 Level: Associate Director Location: Remote-first, with occasional travel for client delivery Compensation: Competitive salary + bonus + benefits Why This Role? This is not “just another AI job.” We’re seeking engineers who can design and deploy agentic AI systems from the ground up — moving beyond demos into robust production systems. You’ll work directly with enterprise and public sector organisations, taking projects from PoC through to mission-critical deployments serving 100s–1000s of users. What You’ll Do • Design agentic systems – Own the agent loop (plan → act → reflect), orchestration (DAG/state machine), and memory management., • Build robust tooling – Create schemas, retries, rate limits, and SDKs for safe extensibility., • Engineer memory & knowledge services – Implement episodic/semantic memory, retrieval APIs, deduping, and summarisation agents., • Productionise at scale – Deploy containerised systems (K8s, serverless, GPU pools), implement CI/CD, observability, and auto-scaling., • Ensure robustness – Apply guardrails, cost/latency budgets, checkpointing, and critic/reviewer patterns., • Evaluate rigorously – Build automated evaluation harnesses, use golden sets, retriever validation, and drift monitoring., • Engage stakeholders – Run workshops, roadmap sessions, and maturity assessments, translating complex AI concepts into actionable strategies. What We’re Looking For Required: • Proven track record building and deploying LLM/agentic systems into production., • Strong software engineering foundations: orchestration, memory, deployment, monitoring., • Familiarity with agentic architectures (e.g. LangGraph, ReAct, CoT loops) and/or ability to build without frameworks., • Confident in client-facing settings: workshops, presentations, advisory roles. Preferred: • Advanced degree in AI, Computer Science, or related field., • Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools., • Background in start-ups (hands-on generalist) or consultancies (client-facing)., • Exposure to regulated industries., • Independent, entrepreneurial mindset; comfortable working with autonomy. Why Join? • Impact: Deliver production-ready agentic AI systems in real-world environments., • Innovation: Work on orchestration and deployment challenges that go beyond “glue code.”, • Reach: Remote-first role with opportunities for international collaboration., • Growth: Influence the direction of enterprise AI adoption and contribute to the wider AI ecosystem., • Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote.

Pre-Sales Engineer/Solutions Engineer - Remote (with travel) Our client is a multi-award winning network security and vulnerability management consultancy, who are on an exciting growth journey, and have a vacancy for a highly skilled Pre-Sales Engineer. Role Using your deep knowledge and expertise in networking and cyber security you will play a critical role in supporting the sales process by providing technical leadership, solution design and subject matter expertise, to customers. The role requires a strong technical background and excellent communication skills. You will be a trusted advisor to customers, helping them understand how solutions can meet their business, compliance and security objectives. This is a remote role however there is the requirement to for global travel to customer and partner locations, as required. Responsibilities • Deep knowledge of core networking technologies (TCP/IP, routing, switching, firewalls, VPN's, SD-WAN etc), • Hands-on familiarity with leading security solutions and platforms (eg: Cisco, Palo Alto Networks, Fortinet, CheckPoint, CrowdStrike etc), • Strong understanding of security frameworks, tools, standards (eg: ISO 27001, NST, CIS controls, Zero Trust architecture), • Act as a technical SME for the solutions offered, understanding their architecture and capabilities, • Collaborate with sales teams to develop proposals and respond to RFPs and RFIs, ensuring technical accuracy and alignment with customer needs, • Lead and support customer Proof of Concept and Proof of Value engagements, including solution configuration, testing and validation, • Conduct customised product demonstrations, run workshops, webinars or in person training, • Develop standardised documentation framework to support pre-sale to post-sale transition, • Create streamlined workflows, • Maintain up to date knowledge of emerging technologies, threat landscapes, competitor activity, and industry trends in networking and cyber security Qualifications • Proven experience as a pre-sales engineer,, solutions architect, or similar technical consultancy roles within cyber security/networking, • Strong presentation and demonstration skills, • Excellent verbal, written & interpersonal skills to explain complex technical concepts to diverse audiences, • Self motivated, able to work independently or in a team, • Ability to produce high quality technical documentation and architecture diagrams, • Degree in Computer Science, Engineering or IT preferred, • Desirable - CCNA, CCNP, CISSP, CEH, CompTIA Security+, NSE etc Please email your CV to apply for this role

AI Engineer / Machine Learning Specialist with Data Engineering Experience Outside IR35 and Fully Remote - £300 per day - 6 Month Contract Intially Candidates can be base anywhere in the UK We are seeking a technically strong AI Engineer or Machine Learning Specialist to join a dynamic team working on cutting-edge Gen AI and data science initiatives. The ideal candidate will have hands-on experience in developing and deploying machine learning models, working with large datasets, and applying AI techniques to solve real-world problems. A background in data engineering is highly advantageous, enabling the candidate to contribute across multiple areas of the project lifecycle. Key Responsibilities • Design, build, and deploy machine learning models and Gen AI solutions to support business and operational objectives., • Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable AI-driven solutions., • Work with structured and unstructured data, applying techniques such as NLP, predictive modelling, and deep learning., • Develop and maintain data pipelines and infrastructure to support model training, evaluation, and deployment., • Apply best practices in model performance tuning, validation, and monitoring., • Contribute to cross-functional projects, leveraging data engineering skills to support data ingestion, transformation, and integration., • Stay current with advancements in AI, ML, and Gen AI technologies, and evaluate their applicability to ongoing initiatives. Ideal Candidate • Strong experience in AI/ML development using Python, TensorFlow, PyTorch, or similar frameworks., • Solid understanding of data science principles, including statistical modelling, feature engineering, and algorithm selection., • Experience with cloud platforms (e.g., Azure, AWS, GCP) and scalable data infrastructure., • Background in data engineering, including experience with ETL pipelines, SQL, and data warehousing., • Familiarity with Gen AI tools and techniques, including LLMs and prompt engineering., • Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment. Please Note: This is a contract role only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Contact me:

About us Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced MicroLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end to end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLEDs from lab innovation to high-volume production. Our future is even brighter. We believe MicroLEDs will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Location Based at our manufacturing facility in Plymouth, UK Our Values • Innovation, • Collaboration, • Commitment, • Care About the Role You will be joining a dynamic R&D team and will play a critical role in the design, simulation, prototyping, and testing of advanced optical systems for our MicroLEDs & optical computing. We are dedicated to pushing the boundaries of what's possible, creating next-generation products that redefine user experiences. Our team is a collaborative group of innovators, and we're looking for a talented Optical Engineer to help us bring our vision to life. Key Responsibilities • Design & Simulation: Design, model, and simulate complex optical systems using software such as Zemax OpticStudio (OpticStudio), Code V, LightTools, or FRED, • Prototyping & Testing: Develop and execute test plans for optical components and systems. Characterize performance using interferometers, spectrometers, MTF testers, and other lab equipment, • Component Specification: Specify and select appropriate optical components (lenses, mirrors, lasers, LEDs, waveguides, diffractive optics, Metalenses) based on performance, cost, and manufacturability requirements, • Tolerance Analysis: Perform thorough tolerance analysis to guide mechanical design and inform manufacturing processes, • Supplier Liaison: Collaborate with external suppliers and manufacturers to guide the fabrication and validation of custom optical elements, • Documentation: Create and maintain comprehensive documentation, including design files, test reports, and performance analyses Experience & Attributes • M.S. or Ph.D. in Optical Engineering, Physics, Electrical Engineering, or a related field. (A B.S. with significant relevant experience will be considered), • Strong foundation in geometrical optics, physics, and hands-on experience in building prototypes of optical designs, • 3+ years of professional experience in optical design and engineering, • Proficiency with optical design software (e.g., Zemax OpticStudio or Code V) for simulation and optimisation, • Hands-on experience in an optical lab environment, including alignment, metrology, and diagnostic techniques, • Deep understanding of geometrical optics, imaging systems, aberration theory, and radiometry/photometry, • Experience with manufacturing processes for optics (e.g., injection molding, glass grinding/polishing, diamond turning), • Excellent problem-solving skills and the ability to work independently in a fast-paced environment, • Strong communication and teamwork skills Advantage • Experience with waveguide optics, holography, polarized light, or diffractive optical elements (DOEs), • Knowledge of human visual perception and ergonomics, • Familiarity with display technologies (LCoS, DLP, MicroLED, OLEDoS), • Proficiency in non-sequential optical software (LightTools), • Experience with light sources like LEDs and Lasers, • Programming/scripting skills for automation and data analysis (Python, Labview, MATLAB), • Experience with CAD software (e.g., SolidWorks) for mechanical integration, • Familiarity with systems engineering principles and requirements flow-down, • Experience in a fab microelectronics development environment

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) or Hybrid London/Barcelona We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

Do you want to work on the cutting edge of blockchain analytics? Have you built and deployed ML models that solve real-world data problems? Are you ready to join a lean, senior team shaping the AI future of a global platform? A Series B, high-growth SaaS platform delivering institutional-grade blockchain analytics is hiring a Senior AI/ML Engineer. Often referred to as the Bloomberg for crypto, this company provides AI-powered insights to help clients discover opportunities, perform due diligence, and protect portfolios. They’re scaling their AI capabilities and need a hands-on engineer to design, implement, and integrate ML models directly into their product. Why join? You’ll be part of a senior, two-person AI/ML team, working on high-impact projects like large-scale wallet labelling, NFT rarity-based price estimation, and advanced trading signals. You’ll have the freedom to explore modern AI/LLM techniques, with the support of a company that values speed, transparency, and curiosity. Key Responsibilities: • Build and scale AI/ML models to process complex blockchain datasets, • Collaborate with engineering and product to embed models into the platform, • Apply the latest AI/LLM approaches to solve challenging problems, • Maintain high DS/ML standards (EDA, validation, tracking), • Mentor and guide best practices in AI/ML development Key Details: • Salary: $130–150k base (paid in GBP) + equity (4y vest, 1y cliff) + performance bonus, • Location: Fully remote, EMEA-friendly time zones, • Stack: Python, GCP, TensorFlow/PyTorch, LLM APIs, • Visa: Cannot sponsor Requirements: • 3–6+ years DS/ML experience, • Strong Python & applied ML skills; end-to-end ML lifecycle experience, • Familiarity with modern AI/LLM tools and eagerness to experiment, • Interest in crypto/blockchain (commercial experience a plus), • Startup/product-focused background preferred; consultancy-heavy backgrounds won't be a fit Interested? Please apply below.

A data-led digital business is hiring a Web Data Engineer to solve complex challenges around large-scale data collection, website access, and automation. This is a hands-on technical role for someone who can architect stable, scalable systems that extract, process, and enrich web data — and now, help integrate AI-assisted workflows to make those systems even smarter. Role: Web Data Engineer Salary: Dependant on Experience Location: Fully remote (UK-based) What you’ll be doing: • Develop and maintain scalable systems for web data extraction and automation, • Integrate AI models and tooling to assist with tasks like data validation, pattern recognition, and content interpretation, • Design reliable frameworks using Playwright, Puppeteer, or Scrapy, incorporating AI where it adds measurable efficiency, • Implement intelligent proxy rotation, session management, and performance monitoring, • Collaborate with data and engineering teams to feed collected and AI-enriched data into analytics pipelines, • Continuously adapt systems to overcome evolving access and security protocols in a compliant, efficient way What you’ll need: • Strong programming skills in Python or Node.js, • Proven experience building scalable web data collection or crawling systems, • Familiarity with Scrapy, Puppeteer, Playwright, Selenium, or similar frameworks, • Experience using rotating proxies, headless browsers, and data pipelines at scale, • Understanding of AI tools and APIs (such as OpenAI, LangChain, or similar) and how they can enhance automation workflows, • Solid grasp of HTTP, browser sessions, and access validation, • Pragmatic approach to data compliance, security, and system resilience What’s on offer: • Salary depending on experience, • Fully remote role (UK-based), • Opportunity to own a technically complex, high-impact system from design to deployment, • Freedom to experiment with AI-driven workflow enhancements, • Flexible working hours and autonomy to define how you solve complex data access challenges If you’re an engineer who loves working with data at scale, experimenting with AI to streamline automation, and solving technical challenges that most people avoid, this role offers the freedom and impact you’re looking for.

Primary Design Engineer - HV Substations Overview: Lead the design delivery for high-voltage (up to 400kV) substation projects, ensuring alignment with National Grid requirements and industry standards. Support Design Delivery Managers with team oversight and contribute to project planning and procurement. Key Responsibilities: * Lead and coordinate HV primary substation design, ensuring compliance with specifications and applicable standards. * Check and approve key design deliverables: single line diagrams, layouts, SC force and earthing calculations, access provisions, etc. * Act as Contractor Design Approval Engineer (CDAE) per National Grid procedures. * Represent the Principal Designer role under CDM 2015, where required. * Review technical specs and supplier proposals. * Support planning, work allocation, and resource coordination within the design team. * Contribute to design risk assessments and ensure safety and sustainability by design. * Prepare and review design management plans (DEMP) and ensure compliance with internal engineering expectations (e.g., GMEE). Qualifications & Experience: * Degree in Electrical Engineering (or equivalent); Chartered Engineer or working towards chartership. * Member of a relevant professional body (e.g., MIET). * 10+ years' experience in HV substation design. * Strong understanding of AIS/GIS up to 400kV and HV plant equipment. * Familiarity with National Grid standards and TP141 qualification (advantageous). * Competence in engineering tools (e.g., AutoCAD, MS Office) and design validation through calculations. * BIM 360 experience desirable. Desired Skills and Experience Lead the design delivery for high-voltage (up to 400kV) substation projects, ensuring alignment with National Grid requirements and industry standards. Support Design Delivery Managers with team oversight and contribute to project planning and procurement. Key Responsibilities: Lead and coordinate HV primary substation design, ensuring compliance with specifications and applicable standards. Check and approve key design deliverables: single line diagrams, layouts, SC force and earthing calculations, access provisions, etc. Act as Contractor Design Approval Engineer (CDAE) per National Grid procedures. Represent the Principal Designer role under CDM 2015, where required. Review technical specs and supplier proposals. Support planning, work allocation, and resource coordination within the design team. Contribute to design risk assessments and ensure safety and sustainability by design. Prepare and review design management plans (DEMP) and ensure compliance with internal engineering expectations (e.g., GMEE). Qualifications & Experience: Degree in Electrical Engineering (or equivalent); Chartered Engineer or working towards chartership. Member of a relevant professional body (e.g., MIET). 10+ years' experience in HV substation design. Strong understanding of AIS/GIS up to 400kV and HV plant equipment. Familiarity with National Grid standards and TP141 qualification (advantageous). Competence in engineering tools (e.g., AutoCAD, MS Office) and design validation through calculations. BIM 360 experience desirable. ersg are an equal opportunities employer; we are committed to promoting equality of opportunity for all job applicants. We do not discriminate against applicants on the basis of age, sex, race, disability, pregnancy, marital status, sexual orientation, gender reassignment or religious background; all decisions are based on merit.

Commissioning Technician (Field-Based) Location: Customer sites across the UK At Measurable.Energy, we’re tackling one of the biggest environmental challenges - wasted energy. Our smart sockets, IoT platform, and data insights help businesses cut carbon, reduce costs, and create sustainable workplaces. We’re looking for a Commissioning Technician to join our growing Customer Success team. You’ll play a critical role ensuring every system we install performs flawlessly from day one. What you’ll do: • Commission and configure smart sockets and connected devices on-site, • Validate system performance, connectivity, and data accuracy, • Complete site surveys to ensure a smooth installation, • Work with electricians installing devices and end customers to hand over live systems, • Troubleshoot issues and feedback process improvements, • Represent measurable.energy professionally at customer sites The detail: Socket Setup & Configuration: • Commission measurable.energy sockets on-site after installation., • Assign sockets within the platform to correct locations, rooms and appliances., • Check device connectivity and troubleshoot issues. Platform Configuration: • Ensure the customer’s platform instance is live and correctly structured., • Verify data flow from sockets to the platform., • Support initial integration of dashboards and reporting. Testing & Validation: • Carry out system health checks and confirm all sockets are online., • Run diagnostic tests and resolve configuration issues., • Document and escalate any recurring technical faults. Customer Handover Support: • Work with the installation engineer and Customer Success team as part of a smooth transition to the customer. What you’ll bring: • Experience as a Field Engineer / Commissioning Technician / Installation Engineer, • Confidence working with connected devices, WiFi networks, or IoT systems, • Strong troubleshooting skills and attention to detail, • Full UK driving licence and flexibility for UK travel, • A genuine interest in sustainability and reducing carbon emissions

Be part of the proving team proving the Command & Control (C2) sub-systems are ready to enter service for one of our exciting projects!.Circa £55,000 depending on experience.British Citizen or a Dual UK national with British citizenship.Restrictions and/or limitations relating to nationality.

As a Validation & Verification Engineer, you'll.

We are looking for a Trials, Integration and System Validation Engineer to join the Trials, Integration and Systems Validation team on the FCASW project. Trials, Integration and System Validation Engineer.

Principal Test & Validation Engineer. You’ll lead test and validation programs, analyse results, and ensure high-performance systems meet rigorous standards. Proven track record in test and validation using large test equipment.

We’re seeking a skilled Validation Engineer to play a key role in system-level validation, ensuring our cutting-edge mixed-signal and RF hardware performs flawlessly in the most demanding environments. Plan and execute system-level validation activities for mixed-signal and RF-based space hardware

MHEV System Validation Engineer – Powerpack Engineering. MHEV System Validation Engineer (Powerpack Engineering). Passionate about applying engineering principles and solving technical problems with a hands-on approach.

Integration & Systems Validation Engineer - Summer Placement 2026MBDA develop some of the world's highest performing weapon systems; but how do we demonstrate and prove this? This is the challenge that Integration and Systems Validation (ISV) are responsible for.

Integration & Systems Validation Engineer - Summer Placement 2026. MBDA develop some of the world's highest performing weapon systems; but how do we demonstrate and prove this? This is the challenge that Integration and Systems Validation (ISV) are responsible for.

Extensive experience in a Mechanical / Aeronautical Engineering discipline (or a relevant engineering qualification). Senior Principal Validation and Verification (V&V) Engineer. This entails coordinating with Customers; Program Managers; Lead/Chief Engineers; Engineers across all disciplines; Proje

Participate in all phases of the validation process, including initial testing and system bring ups, final validation and flight collaboration. Collaborate with engineering teams across disciplines to troubleshoot and resolve cross system issues and validation issues. Experience with test automation

We’re seeking a skilled Validation Engineer to play a key role in system-level validation, ensuring our cutting-edge mixed-signal and RF hardware performs flawlessly in the most demanding environments. You may get notified about new Validation Engineer jobs in. Experienced Technology and Engineeri

Your internal title will be Validation Engineer. We are seeking a talented Process Engineer to join our dynamic team of four multidisciplinary engineers, providing essential manufacturing support and driving New Product Introduction (NPI) efforts to support the projected growth of the site. Work wit

Software Validation & Verification Engineer. Validation & Verification Engineer. Background in space software verification and validation (C/C++).

An exciting opportunity to play a key role in test and validation activities at our new Chelveston test facility. You've got a proven track record of conducting test and validation programs for electro‑mechanical products.

MSc/BSc in Electronic Engineering. Strong commercial experience of system validation with complex HW/SW/embedded designs. Collaborate with system engineers to study requirements and create test plans.

Senior Optical Engineer / Hardware Validation Engineer. Senior Optical Hardware Validation Engineer. Get notified about new Validation Engineer jobs in.

I'm currently representing a cleanroom/clean air specialist looking to expand their Validation Team. Qualification and validation of cleanrooms and clean air devices. Proven experience in cleanroom qualification or HVAC validation.

One of our top Engineering Clients is looking for a Validation Engineer (Protection & Control) to join their team in Stafford on a 6 month+ contract basis. We actively recruit at all levels and this is a superb opportunity for a Validation Engineer looking for new employment. Test Planning & Executi

IPs, develop test automation, and work closely with engineering teams to drive product quality across next-generation satcom systems. Debug, analyse and resolve validation issues. Degree in Electronic/Computer Engineering.

Are you a Validation Engineer looking to join a leading manufacturer that values professional development, career growth, and work-life balance?. This position is ideal for a Validation Engineer from a manufacturing background whos looking to join a well-established company offering excellent oppo

I'm currently representing a cleanroom/clean air specialist looking to expand their Validation Team. Qualification and validation of cleanrooms and clean air devices. Proven experience in cleanroom qualification or HVAC validation.

Champion Good Engineering Practice (GEP), Good Documentation Practice (GDocP), and Data Integrity principles in all validation activities. Engineering Validation Specialist. Validation procedures are consistently.

Equivalent experience or training in validation, biomedical engineering, or instrumentation will be considered. Deliver training on validation procedures to customers and internal engineers; provide hands-on support to ensure consistency and knowledge transfer. Experience: Minimum of 3 years in serv

Senior System Validation Engineer. Strong commercial experience in system validation of complex HW/SW/embedded designs. Lead system validation activities across PHY, hardware, and software.

Lead Verification & Validation Engineer – responsible for delivering HVDC Controls & Protection verification and validation activities on schedule through coordination between project and department, providing technical leadership to ensure that requirements and processes are met. Minimum 5+ years