Guidant Global

Guidant Global is looking for a Family Hub Support Officer in London. You will provide crucial administrative and business support to the Early Help Service, ensuring effective service delivery across Family Hubs. Your role includes welcoming families, maintaining accurate records, and generating reports. The ideal candidate must have strong customer service skills, excellent communication abilities, and advanced IT skills, especially in Microsoft Office. Join our dynamic team and make a difference in families' lives.

Configuration Management is pivotal to MBDA's success in developing and delivering engineered products to our customers and frontline users. Through the controlled application and compliance of processes, we give our programmes confidence and assurance in all products that we produce. Salary: Circa £55,000 depending on experience Dynamic (hybrid) working: 1-2 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more The opportunity: We are seeking an experienced Configuration professional to actively lead the application of Configuration Management processes across MBDAs prestigious product portfolio. Your ability to build networks and foster strong relationships with our business programmes will enable you to deliver outstanding governance of our Configuration Management processes whilst contributing towards the overall success of our business programmes. As a Configuration Manager, you will confidently establish yourself within your designated programme to provide strategic direction and deliver technical application of Configuration Management principles throughout the lifecycle of the product. What we're looking for from you: Highly experienced within a Configuration Management discipline. Extensive knowledge of Configuration Management principles, processes and standards, both nationally and internationally. A technical understanding of complex weapon systems or other defence systems being desirable. Strong technical appreciation of engineering business networks and associated stakeholder relationships across the product lifecycle. Highly developed communication skills; ability to lead through technical challenges with confidence and assertion. Outstanding networking skills with an ability to build and maintain critical stakeholder relationships. An ability to plan, lead and deliver technical Configuration Management activities. Proven ability to successfully influence and negotiate at all levels, without compromising relationships. Whilst not essential, an operational knowledge of Def Stan 05-57, ISO10007 or EN9100 would be beneficial. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Guidant Global in Bristol is seeking a Capital Programme Delivery Manager to oversee the development and delivery of the Parks Service's capital programme. You will be responsible for managing complex projects, maintaining stakeholder relationships, and ensuring adherence to budget and timelines. The ideal candidate will demonstrate strong leadership abilities and experience in managing large-scale capital projects, while effectively navigating risks and ensuring successful governance practices are in place.

Guidant Global is looking for a Senior Software Engineer to design, build, and operate AI-enabled software and platform solutions in Greater London. You will work on API-driven services and integrations, ensuring quality and security in real-world AI applications. The ideal candidate has strong experience in software engineering fundamentals and is proficient in TypeScript and Python. Join us to help foster an equitable and inclusive workplace.

What You'll Be Doing Design, build, and operate AI enabled software and platform solutions Develop and maintain API driven services and integrations that allow systems to work effectively with AI capabilities Contribute to the evolution of existing applications towards modern, service based and cloud native architectures Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns where appropriate Apply AI tools to support engineering productivity, while retaining full accountability for quality, safety, and correctness Review, validate, and guide AI generated code or output to ensure it meets engineering and operational standards Build, deploy, and operate services using TypeScript and Python, supported by modern DevOps practices Package and operate workloads using Kubernetes tooling (e.g. Helm) and infrastructure as code (e.g. Terraform) Work closely with engineers, platform teams, and AI specialists to deliver integrated solutions Your Experience To be successful in this role, you will bring: Strong experience as a Senior Software Engineer, Senior DevOps Engineer, or similar hands on role Excellent software engineering fundamentals, including system design, code quality, testing, and maintainability Solid experience building API first or service based systems Proficiency in TypeScript and Python Experience deploying and operating production systems using containerisation and automation tooling Comfort working across development, deployment, and operational concerns Confidence taking ownership of technical work and systems in live environments In Return You'll work on real, production grade systems where AI is being integrated responsibly and pragmatically. This is an opportunity to deepen your senior engineering practice, stay hands on, and help ensure AI enabled systems are reliable, secure, and effective in real world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, drawing on a rich blend of experiences, perspectives, and creativity. We believe inclusive teams deliver better outcomes for everyone. Guidant Global is acting as an Employment Business in relation to this vacancy.

Guidant Global is looking for a Supply Officer based in Broughton, offering a hybrid working model to support Airbus' supply chain operations. The role involves managing suppliers, optimizing stock levels, and ensuring a smooth flow of materials for major Airbus programmes. This position requires strong experience in procurement and supply chain management, combined with proficiency in digital tools like SAP. Join a team that values inclusivity and innovation while contributing to critical aerospace projects.

A leading intralogistics company is seeking a Workshop Engineer in Warrington. Responsibilities include repairing and maintaining handling equipment, ensuring quality standards, and managing parts. The ideal candidate will have an engineering background and strong problem-solving skills. The role offers extensive training, generous leave, and a company pension scheme. Join a company that values its employees and invests in their development.

Working Environment You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration Develop, validate and deploy machine learning models into production environments Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty Design and run experiments to evaluate model behaviour, performance and user impact Work with real, imperfect data drawn from operational systems and workflows Integrate machine learning components into wider software and data platforms Balance rigour with pragmatism, delivering solutions that are proportionate and effective Communicate complex technical concepts clearly to non-technical stakeholders Engage in technical reviews, design discussions and constructive peer challenge Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine learning problems where judgement, credibility and delivery matter in a supportive, committed, inclusive environment. This is an opportunity to operate with autonomy, shape solutions from first principles and contribute to high-impact outcomes within a strong professional culture. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism. What You'll Be Doing - Design, deploy and operate platforms and services on Kubernetes-based environments - Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform - Own systems and applications through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work closely with engineers, architects and stakeholders to deliver integrated platform solutions - Contribute to improving DevOps, platform and operational practices across teams Your Experience To be successful in this role, you will bring: - Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role - Proven experience deploying and operating systems on Kubernetes platforms - Strong hands-on experience with Helm for managing application deployments - Experience managing systems through their full operational lifecycle - Solid understanding of monitoring, supportability and reliability concerns in production - Experience using infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support AI and data-driven capabilities in real production environments. This is an opportunity to deepen hands-on expertise, own systems end-to-end, and contribute directly to reliability and delivery outcomes. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team. You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The emphasis is on trust, judgement and clear reasoning rather than process for its own sake. What You'll Be Doing - Operate as Lead Enterprise Architect for AI-enabled initiatives across the organisation - Establish and evolve an AI architecture capability aligned to the central AI hub - Define and maintain coherent architectures across strategy, delivery, operations and assurance - Translate architectural intent and technical roadmaps into usable, supportable products and services - Provide architectural leadership and challenge to teams adopting AI - Shape approaches to agentic and AI-enabled systems, balancing opportunity with compliance and risk - Lead architectural decision-making in ambiguous or complex situations, clearly articulating trade-offs - Provide architectural input to cloud adoption and integration, particularly across AWS-based platforms - Build alignment and shared understanding across diverse stakeholder groups Your Experience To be successful in this role, you will bring: - Significant experience operating as a Senior or Lead Enterprise Architect - Proven ability to work across the full enterprise context, balancing technical, organisational and commercial considerations - Experience shaping architecture where requirements are incomplete or evolving - Strong understanding of AI-enabled architectures and adoption patterns - Solid cloud architecture experience, including integrating cloud services into enterprise platforms - Experience operating in regulated, high-assurance or compliance-heavy environments - Credibility communicating architectural decisions clearly to technical and non-technical audiences - The ability to influence outcomes through judgement, relationships and trust rather than instruction In Return You will operate at the point where AI ambition meets organisational reality, helping shape how complex systems evolve over time. This is an opportunity to apply deep architectural judgement, influence significant decisions, and help ensure AI adoption is sustainable, coherent and valuable at enterprise scale. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment Data engineering work is grounded in real operational needs, often involving imperfect data, technical constraints and organisational complexity. Engineers work closely with delivery teams and stakeholders to understand problems end to end and deliver robust, production-grade solutions. Collaboration, pragmatism and persistence are valued, alongside strong engineering craft. What You'll Be Doing - Design, build and improve enterprise-scale data pipelines, platforms and services - Lead complex data engineering work end to end, from problem definition through build and operational use - Work directly with technical and non-technical stakeholders to translate real problems into effective data solutions - Engineer data integrations across diverse systems, including legacy and modern platforms - Build production-grade data solutions using strong software and data engineering practices - Improve data quality, lineage and metadata as first-class engineering concerns - Diagnose and resolve complex data and platform issues in constrained environments - Provide technical leadership and raise standards through example and delivery Your Experience To be successful in this role, you will bring: - Significant hands-on experience as a senior or lead data engineer on complex, real-world systems - Strong Python and Spark skills, with evidence of building and maintaining production data pipelines - Deep understanding of the data engineering lifecycle: ingestion, transformation, storage and serving - Experience designing data models that support operational and analytical use - Understanding of data governance, security and compliance built into systems by design - Confidence working with messy data, legacy constraints and organisational complexity - Ability to influence through technical delivery rather than formal authority In Return You'll work on meaningful data engineering challenges that support real outcomes across the organisation. This is an opportunity to stay hands-on, tackle difficult data problems, and shape better data practices through delivery rather than abstraction. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Working Environment The organisation is building momentum in AI but remains relatively early in its maturity. This creates both ambiguity and opportunity. You will work closely with engineers, technical leaders, product and delivery colleagues, supporting teams as they learn, adapt and scale AI-enabled engineering practices. Success depends on judgement, empathy and clear communication as much as technical understanding. What You'll Be Doing - Provide leadership and support to engineering teams delivering AI-enabled products and platforms - Act as a visible engineering leader, shaping culture, collaboration and professional standards - Support the adoption of AI-assisted development practices to improve delivery and quality - Work with senior engineers and technical leads to influence technical decisions and delivery approaches - Help teams navigate change, ambiguity and evolving priorities - Translate technical concepts for non-technical stakeholders where needed - Build strong relationships across engineering, product and delivery communities Your Experience To be successful in this role, you will bring: - A strong background as a software engineer, with significant hands-on experience prior to moving into leadership - Demonstrable experience leading, supporting or influencing engineers in delivery environments - Practical exposure to AI-enabled software development and engineering acceleration - At least 12 months' experience working with or alongside AI-focused engineering teams - Strong understanding of modern software engineering and infrastructure practices - Confidence operating where processes and patterns are still forming - Clear communication skills and the ability to build trust across teams In Return You'll play a key role in shaping how engineering teams adopt AI responsibly and effectively over time. This is an opportunity to support people, influence technical direction and help create sustainable engineering practices in a fast-evolving area. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures - Define and guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions - Ensure solutions meet appropriate standards for security, resilience, performance, and operability - Anticipate and manage architectural and operational risks associated with AI-enabled systems - Champion strong engineering practices across software development, DevOps, and platform engineering Your Experience To succeed in this role, you will bring: - A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role - Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability - Strong experience designing and delivering API-driven and microservice-based systems - Proven ability to modernise or integrate legacy applications into modern software and platform architectures - Solid development experience in TypeScript and Python - Experience working across software delivery, infrastructure, CI/CD, and operational environments - Confidence providing technical leadership and architectural direction without relying on formal authority - Ability to balance innovation with pragmatism in complex, production environments In Return You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality. This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Manufacturing / Electronics Test Engineer (Production Environment) Guidant Global is partnering with a leading UK defence organisation to recruit a hands-on Electronics Test Engineer to support the manufacturing test and fault diagnosis of complex electrical and electronic assemblies. This is a practical, production-based role focused on diagnosing faults down to circuit card and component level, working directly with test equipment in a manufacturing environment not a desk-based design role. What youll be doing Supporting manufacturing test and diagnostics of electrical and electronic sub-systems Investigating failures down to circuit card and component level Using a wide range of manual and automated test equipment Introducing and supporting new test facilities, specifications and operator instructions Working closely with production and quality teams to maintain build schedules Contributing to defect reviews and corrective actions within a controlled defence environment What were looking for Essential HNC (or equivalent) in Electronic / Electrical Engineering Strong hands-on experience with electronic test and fault finding Good understanding of digital and analogue measurement techniques Experience using equipment such as oscilloscopes, DMMs, signal generators and power supplies Comfortable producing test instructions, specifications and technical reports Desirable (not essential) RF / Microwave exposure at sub-system level Experience with automated test equipment (ATE) Environmental or high-voltage testing awareness Defence or regulated manufacturing experience SAP exposure Test equipment youll regularly use Oscilloscopes, DMMs, power supplies, signal generators Spectrum analysers / VNAs (where applicable) RF measurement equipment in a controlled test environment Why this role Hands-on engineering real faults, real test equipment Stable, long-term defence programmes Supportive engineering team Clear processes and production support (not firefighting) What happens now?Upon submission of your application, should it meet our selection criteria, you will be contacted via e-mail by one of our talent acquisition specialists to arrange a screening call. This telephone chat is structured to explore a series of questions aimed at matching your competencies and capabilities to the specific demands of the position. Please note, this screening is contingent upon the initial success of your application. Security Clearance:British Citizen or a Dual UK national with British citizenshipRestrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by our clients Security Team. More about the role:For more than 70 years, our client has been in a strong partnership with the UK military. They have accomplished numerous milestones in defence engineering and have provided essential defence capabilities to meet the requirements of the armed forces across land, sea, and air. This job is at our client's site in Bolton facility, one of the North West's leading manufacturing sites for at least 25 years. The facility offers showers and bike racks and is near the motorway, with a petrol station outside. Amenities like an onsite canteen. JBRP1_UKTJ

Engineering Configuration Manager Filton (Hybrid - typically 60% onsite, subject to change) 35 hours per week 4.5-day working pattern Contract until July 2027 (with potential extension) £28.41 per hour (PAYE) / £38.00 per hour (Umbrella) About the Role Guidant Global is partnering with Airbus to offer an exciting opportunity for an Engineering Configuration Manager to join the Digital Wing team. You'll play a key role in shaping and managing configuration across multiple aircraft programmes, working at the heart of engineering, digital transformation, and programme delivery. This is a highly collaborative role where you will influence change, drive process excellence, and support the full lifecycle of aircraft configuration management. You'll be part of a forward-thinking environment focused on innovation, digitalisation, and continuous improvement. What You'll Be Doing As an Engineering Configuration Manager, you will: Lead and manage end-to-end engineering change processes across aircraft programmes Coordinate configuration management activities to ensure delivery against time, cost, and quality targets Work cross-functionally with Engineering, Programme, Airworthiness, Manufacturing, and wider teams Manage stakeholder relationships and ensure alignment across complex programmes Support and influence digital transformation initiatives, including PLM and automation strategies Oversee key configuration activities such as: Engineering Decision Dossiers (EDD) Modification Proposal Dossiers (MPD) Design Query Notes (DQN) Service Bulletin (SB) processes and mod closures Identify risks, anticipate challenges, and implement effective solutions Champion best practice and continuous improvement across the Airbus community Contribute to innovation through opportunities in Digital Mock-Up (DMU) and digitalisation activities What We're Looking For We're keen to hear from candidates who bring a strong mix of technical expertise and stakeholder engagement skills. Essential: Proven experience in Configuration Management or Engineering Change Management Strong understanding of end-to-end change processes Excellent stakeholder management and communication skills Ability to manage priorities and deliver in a fast-paced, complex environment Desirable: Background in aerospace or engineering environments Degree, HNC, or equivalent experience in Engineering or Aeronautics Experience with configuration and PDM tools (e.g. ICC, MCT, Primes, DPDS, ACC2) Digital or data skills (e.g. Python, SQL, Skywise) Why Join Through Guidant Global? At Guidant Global, we connect you with world-class opportunities and support you throughout your contract journey. Competitive hourly rates with flexible PAYE or Umbrella options Opportunity to work with a global aerospace leader on cutting-edge programmes Exposure to digital transformation and innovation initiatives Collaborative, inclusive working environment Opportunities to expand your skills across digital, engineering, and programme domains Additional Information Hybrid working model (onsite presence required) BPSS+ clearance required (processed by Airbus) Occasional travel may be required One-stage virtual interview process Overtime paid beyond 35 hours where applicable Ready to Apply? If you're passionate about engineering excellence, thrive in collaborative environments, and want to play a key role in shaping the future of aerospace, we'd love to hear from you. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy. JBRP1_UKTJ

Guidant Global is seeking a Helpdesk Administrator to provide customer-focused support at the John Radcliffe Hospital. This part-time position requires effective communication and teamwork skills, along with attention to detail to manage client requests. The role involves logging information into a CAFM system and ensuring customer requests are processed promptly. Previous experience in a customer service environment and familiarity with CAFM systems is preferred to enhance service efficiency.

Helpdesk Administrator Fully Onsite, Part time Location - OX3 9DU Contract - 29th June - 4th October Working days - Fri, Sat, Sun Main Purpose of Job To provide a customer focused Help Desk service, supporting the needs of the John Radcliffe Hospital, dealing accurately with all client/customer requests, and managing all complaints in a sensitive and efficient manner. Main Duties & Responsibilities Receive and process customer requests in a timely manner, monitoring all requests to completion of work, in accordance with the service level specification. This is both via phone and emails. Ensure that the relevant information is accurately logged into the Computer Aided Facilities Management (CAFM) system in accordance with Performance Management System (PMS), to enable the effective transfer of information to the appropriate department for action. Provide the caller / department with a task number. Regularly review logged calls on the databases, to monitor progress, identify priority tasks and ensure timely completion. Ensure information on completed and partially completed tasks is entered into the databases, maintaining accurately the current status of all tasks. Responsible for passing on instructions to facilities staff, recording such action in response to calls, requests etc., enabling staff to meet the performance targets of the contract. Support the co ordinated response to emergencies in a timely and professional manner. Assist with the training of new team members. Maintain Confidentiality - the Company and the Trust requires its staff to maintain confidentiality and any disclosure of confidential information outside the proper and recognised course of duty will be treated as a serious disciplinary offence. You are particularly required to note that all information about patients is always to be classified as confidential. Fulfil Health & Safety responsibilities by adherence to the requirements of the Company's Health & Safety Policy and Health & Safety Management Plans. Comply with the Company's Policies, Management Plans and Procedures. Undertake such other duties appropriate to the level and character of work as may reasonably be required within the Department / Service. Significant permanent changes in duties will require agreed revisions to be made to this Job Description. PERSON SPECIFICATION Main Attributes Required Essential Understanding of and ability to deliver good customer service. Good written and verbal communication skills. High degree of attention to detail. Ability to work under pressure and manage conflicting priorities. Ability and willingness to work as part of a team. Desirable Previous experience in a customer service/call centre role. Previous experience of using a CAFM system (in this case Maximo).