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Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why. You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs. This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. The ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets. Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion. You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar. • Strong experience in Machine Learning or ML-adjacent software engineering roles., • A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs., • Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools., • Strong Python skills for automation, experimentation, benchmarking and reporting., • Experience designing, running and analysing ML benchmarks or model experiments., • Confident debugging skills in Linux, with curiosity about model behaviour and system performance., • Unlimited annual leave, • Up to 5% matched pension, • Phantom equity - share in Graphcore's success, • True flexibility in how and where you work, • Office spaces designed for collaboration, • Free food and an on-site barista, • Health cash plan, • Income protection, • Life assurance, • Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. #J-18808-Ljbffr

The Senior Nuclear Radiation Shielding Engineer to support the design, analysis, and licensing of the SMR‑300, an integral pressurized water reactor small modular reactor. The selected candidate will join an established and growing radiation protection and analysis team supporting SMR‑300 development activities, including radiation source term development, shielding design and optimization, dose assessment, and preparation of licensing documentation. This role serves as a hands‑on technical contributor, supporting plant design optimization and regulatory compliance through defensible radiological analyses. This role works independently performing detailed analyses, benchmark methods and models, clearly document results, and mentor junior engineers in analysis techniques and technical documentation. • Develop radiation source terms for normal operation, anticipated operational occurrences, and postulated accident conditions, • Perform radiation transport analyses to evaluate dose rates in plant systems, structures, and components, • Design and optimize radiation shielding to meet occupational exposure and site dose limits in accordance with ALARA principles, • Conduct radiological consequences and control room habitability analyses using accepted regulatory methodologies, • Perform reactor pressure vessel and structural component fluence evaluations to support shielding and material assessments, • Benchmark analytical models against experimental data and industry guidance to ensure technical defensibility, • Prepare technical reports and contribute to licensing documentation, including PSAR, FSAR, and responses to NRC Requests for Additional Information (RAIs), • Participate in technical meetings with internal teams, partners, clients, and the U.S. Nuclear Regulatory Commission, • Mentor junior engineers and support the development of analysis standards and documentation best practices, • Eligibility to work under U.S. Department of Energy 10 CFR Part 810 export control regulations, • Bachelor’s degree in Nuclear Engineering, Physics, or a closely related field with 10+ years of relevant experience, • OR Master’s degree with 8+ years of relevant experience, • OR PhD with 6+ years of relevant experience, • Demonstrated experience in radiation shielding design, source term development, and radiological dose assessment, • Proficiency with radiation transport and dose analysis tools such as MCNP, SCALE, ADVANTG, GALE, ARCON96, RADTRAD, or equivalent codes, • Working knowledge of nuclear power plant operations and radiological protection programs, • Familiarity with NRC licensing processes and NUREG‑0800 Chapters 11 and 12 requirements, • Strong technical writing, documentation, and communication skills, • Programming or scripting experience (e.g., Python) to support analysis automation and data processing, • Experience supporting NRC audits, RAIs, and technical review meetings, • Experience integrating shielding design with plant layout and multidisciplinary engineering teams Investing in people who power the future. We believe great work deserves great rewards. Our benefits go beyond the basics, reflecting our commitment to supporting your whole self…your health, your future, and your career growth. This includes: • Private health insurance for physical and mental health, 24/7 GP access, dental/optical cashback and travel insurance for you and your family, • 25 days annual leave plus bank holidays, with Christmas shutdown, • Hybrid work opportunities available where business needs and role requirements allow, • Education assistance to support continued professional growth, reimbursement of professional membership fees, • Employer matched pension contributions, life insurance, enhanced maternity/paternity benefits If you’re driven to solve meaningful challenges and make a lasting impact, we invite you to build your career at Holtec— a generation ahead by design. #J-18808-Ljbffr

Holtec International is seeking a Senior Nuclear Radiation Shielding Engineer to support SMR-300 design, analysis, and licensing. The role involves hands-on technical work, developing source terms, optimizing shielding, and preparing regulatory documentation. You will mentor junior staff, benchmark models against data, and coordinate with internal teams and regulatory bodies to ensure defensible radiological analyses. Hybrid work options apply in Almondsbury area. #J-18808-Ljbffr

We are partnering with a growing technology consultancy to appoint a Solutions Architect for its CRM practice. This is a pivotal role for someone who enjoys combining hands-on technical credibility with the opportunity to shape a high-performing delivery capability. You will lead the technical direction of the practice, develop its people and standards, and play an active role in ensuring client work is well designed, commercially sound and consistently delivered. You will be trusted to bring structure and leadership across a portfolio of CRM transformation, implementation and integration programmes. Working closely with delivery, commercial and client-facing colleagues, you will help ensure the business has the right capability, capacity and technical approach to support continued growth. You will take ownership of the technical health of the CRM practice, acting as its senior point of escalation across active client engagements. This will include setting the benchmark for solution quality, delivery assurance, estimation and technical governance. A key part of the role will be leading a distributed team of technical specialists across UK-based and offshore delivery. You will bring the team together around clear priorities, standards and development plans, while maintaining a practical view of workload, utilisation and future hiring requirements. You will also have a visible role at the front end of engagements. This includes supporting discovery conversations, technical workshops, solution design, estimates and proposals—helping clients understand what is achievable and ensuring work enters delivery with the right scope and assumptions. Key responsibilities Lead, coach and develop a technical CRM team spanning onshore and offshore resources. Set and maintain robust technical standards, delivery methods and quality controls across projects. Act as a senior technical escalation point for complex implementation, integration and solution-design challenges. Shape resource and capacity planning across live work and anticipated pipeline. Work alongside sales, business analysis and account management teams to support technical scoping, effort estimation and risk assessment. Lead technical client workshops and communicate complex solutions clearly to senior business and non-technical stakeholders. Ensure delivery teams follow strong commercial and project disciplines, protecting quality, scope and margin. Develop a clear certification, skills and capability roadmap for the practice. Keep abreast of relevant platform developments, integration approaches and wider cloud technologies, translating these into practical improvements for clients and delivery teams. Build productive relationships with software vendors, partners and internal stakeholders. Contribute to the continued growth, reputation and commercial performance of the practice. What we are looking for Significant experience delivering CRM, customer-platform or enterprise application solutions across multiple client environments. Strong technical knowledge of CRM implementation, integration, APIs, data flows and solution architecture. Experience leading, mentoring or managing technical consultants, developers, architects or implementation specialists. A track record of working with offshore or nearshore teams and creating one joined-up delivery function. Confidence supporting pre-sales activity, including technical discovery, solution shaping, proposals, estimates and delivery assumptions. Experience of working within a consultancy, systems integrator, software partner or professional-services environment. A commercially aware approach, with the judgement to balance client requirements, delivery quality and project profitability. Familiarity with the wider Microsoft, .NET, Azure, AWS or comparable cloud and integration ecosystem. The ability to build credibility quickly with both clients and technical teams. A practical leadership style: comfortable setting direction, improving ways of working and getting into the detail where needed. This role would suit an established Practice Lead, Head of Delivery, Technical Lead, Solution Architect or senior professional services leader looking to take ownership of a growing CRM capability. All applications will be reviewed based on merit, relevant experience, and suitability for the role. By applying, you consent to the processing of your personal data in accordance with our privacy policy and applicable data protection laws. We do not discriminate on the basis of age, gender, disability, race, religion, sexual orientation, or any other protected characteristic. If you require any adjustments during the recruitment process, please let us know. TPBN1_UKTJ

Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why. You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs. This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. The ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets. Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion. You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar. • Strong experience in Machine Learning or ML-adjacent software engineering roles., • A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs., • Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools., • Strong Python skills for automation, experimentation, benchmarking and reporting., • Experience designing, running and analysing ML benchmarks or model experiments., • Confident debugging skills in Linux, with curiosity about model behaviour and system performance., • Unlimited annual leave, • Up to 5% matched pension, • Phantom equity - share in Graphcore's success, • True flexibility in how and where you work, • Office spaces designed for collaboration, • Free food and an on-site barista, • Health cash plan, • Income protection, • Life assurance, • Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. #J-18808-Ljbffr

Job Description: Head of Sales - Multi Brand Car dealership in Channel Isles. • You will be an accomplished and ambitious "head of sales" within a prestige business currently or with previous experience., • You will have experience of developing and leading a team to sell new and used cars and after sales packages., • Your CV will demonstrate clear loyalty, career stability, and a strong work ethic built at respected car brands., • You must be in a position and ready to relocate to Jersey personally as it is remote from the UK and working hours will include weekends. Benefits: • This position offers an outstanding salary package, and a company car and pension., • You will also benefit from a favourable tax rate due to the island's status., • Relocation assistance is also provided. The "Head of Sales" role: • Drive Commercial Growth: Lead from the front to maximise performance across New Cars, Used inventory, F&I, and value-added Aftersales packages., • Inspire & Elevate the Team: Build, mentor, and motivate a top-performing sales team, instilling a culture of accountability, and sales excellence., • Shape Strategy: Oversee stock acquisition, stock turn, and local marketing strategies tailored specifically to the unique island market., • Customer Experience: Ensure the dealership network continues to set the benchmark for CSI, NPS. This is a Lifestyle Shift where you will enjoy an exceptional quality of life, short commutes, and coastal living in a unique island location. Benefits: • Company car, • Company pension, • Great salary and tax benefits, • Amazing island and lifestyle #J-18808-Ljbffr

EngineersOfAI in Bristol seeks a skilled individual to validate the ML stack that translates accelerator hardware into dependable AI performance. In this role, you will test and benchmark complex systems to ensure they operate reliably before reaching customers. Your expertise will help expose regressions and correctness issues across various ML frameworks and guide teams in resolving these challenges. The role requires close collaboration with software and hardware teams to ensure quality and efficiency in model execution. #J-18808-Ljbffr

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long‑term investment, we are delivering key technology into the fast‑growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large‑scale systems where performance is critical to the success of our projects. Working closely with the Software Development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Applied AI team’s role is to be proxies for our customers; we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you’re excited about advancing the next generation of AI models on cutting‑edge hardware, we’d love to hear from you! • Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators., • Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews., • Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency., • Design and conduct experiments on novel AI methods, implement them and evaluate results., • Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware., • Engage with the AI community and keep in touch with the latest developments in AI., • Bachelor/Master’s/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field., • Proficiency in deep learning frameworks like PyTorch/JAX., • Strong Python or C++ software development skills., • Expertise in deep learning from model training to optimisation and evaluation., • Capable of designing, executing and reporting from ML experiments., • Developed deep understanding of performance bottlenecks and how to overcome them., • Ability to move quickly in a dynamic environment., • Enjoy cross‑functional work collaborating with other teams., • Strong communicator – able to explain complex technical concepts to different audiences., • Experience in one or more of:, • MLOps for Kubernetes‑based clusters, • Building production systems with large language models, • Efficient computing based on low‑precision arithmetic., • Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models., • Experience in distributed training or inference of ML models across 64+ accelerators., • Familiarity with HPC systems and networking including Infini. #J-18808-Ljbffr

We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision-making for frontline teams, and protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 200 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest-growing engineering businesses. We are hiring an Edge Compute Lead to take ownership of the hardware our engineers design, build and test on. The scope of the role will encompass everything from resource‑constrained edge nodes, through to test infrastructure and high‑performance compute. Working within the Platforms team, you will ensure that decisions made at the silicon, board and network layer support what runs above them - operating systems, orchestration, inference stacks and applications. This is a hands‑on technical role without direct reports. Your influence will come from judgement, evidence, and the quality of what you put in front of engineers. You'll be the person teams come to when they need to know what to build on. You will hold a set of known‑good, documented configurations, advise projects on the right platform for the problem in front of them, and stand up reference systems and test capabilities that let people prove their work early and repeatedly. This role requires an average of 4 days per week on‑site at our Bristol HQ, with occasional travel. Candidates must be eligible for SC clearance. More information about security clearance is available here: government/publications/united-kingdom-security-vetting-clearance-levels • Own the engineering hardware estate: specify, procure, configure and maintain compute, HPC, GPU, storage and networking hardware across its full life, from selection to retirement., • Lead on edge hardware: evaluate and integrate small form factor compute so that our systems perform wherever they are deployed., • Build reference systems: create and maintain representative engineering systems and test capabilities that teams can rely on for integration, test & evaluation., • Align hardware with software: work with the Platforms team so that firmware, drivers, interconnect and accelerator choices support the operating system and application layers above., • Advise project teams: recommend platforms, publish known‑good configurations, and help engineers reach the right hardware decision quickly., • Set the standard: define and hold sensible standardisation, documentation and configuration baselines, so kit is supportable and reproducible rather than bespoke to one project., • Keep things performant and available: benchmark, monitor and plan capacity, resolve faults, and manage spares, warranties and refresh cycles., • Managing suppliers: build relationships with vendors and integrators, test claims against real workloads, and get good value from specialist purchases., • Hands‑on experience specifying, building and running compute hardware for engineering, research, or laboratory use., • Practical knowledge of GPU and accelerated computing, including how memory, interconnect and thermal limits shape real workload performance., • Experience with embedded or ruggedised compute platforms under size, weight and power constraints., • Strong Linux fundamentals, including firmware, drivers, provisioning and troubleshooting close to the metal., • Working knowledge of networking and storage sufficient to design and debug systems end to end., • A track record of turning an ad hoc collection of kit into a standardised, documented, supportable estate., • Experience procuring specialist hardware and holding suppliers to account on lead times, support and performance., • Experience with edge AI modules, CUDA, and the surrounding driver and container stack., • Familiarity with bare‑metal provisioning., • Background in defence, aerospace, motorsport, scientific computing or another sector with demanding hardware requirements., • You are genuinely interested in technology and in what it lets the end user do, not in the specification sheet for its own sake., • You enjoy being the person others ask, and you give a straight answer with the reasoning behind it., • You test claims rather than accept them, and you are comfortable saying when a shiny option is the wrong one., • You are happy with your hands on the kit, and equally happy writing the documentation that means nobody has to ask you twice., • You work well with engineers and translate easily between what they need and what the hardware can give them. No prior defence experience is required. We're interested in people who've built and run hardware for demanding environments that want to see their work reach the field. We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience and backgrounds, so please apply and come as you are! We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid-working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part‑time working requirements and/or workplace adjustments with all our applicants. Rowden is a Disability Confident Committed company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible. Finally, if you feel that you don’t meet all the criteria included above but have transferable skills and relevant experience, we’d still love to hear from you. #J-18808-Ljbffr

Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, we're inspired by the opportunities to innovate and break boundaries. We're proud to play a part in protecting the world's democracies. And we're committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the world's aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career. Job Summary It's great to know you're making a difference to the future of aviation! Whatever part you play you'll be helping us deliver operational excellence to our customers. We are currently seeking a Maintenance Engineer to join us at our modern manufacturing facility in Western Approach . This site is an International Centre of Excellence in composite wing structure design and production, manufacturing composite wing spars and Fixed Trailing Edge assemblies for some of the world's most popular aircrafts. The Maintenance Engineer will be accountable for applying engineering concepts for the optimization of assets, procedures and departmental budgets to achieve better maintainability, reliability, and availability. The function role includes safe working at all times, planning, managing and performing machinery and building asset care. This is a multi-skilled role covering both electrical and mechanical aspects of equipment breakdown. The successful applicant will work as part of a team of 4 maintenance engineers on a 7 day fortnight shift basis, inclusive of 28% shift allowance - Week 1: Monday, Tuesday, Friday, Saturday, Sunday Week 2: Wednesday, Thursday How You'll Contribute Active member in department Risk assessments/SSOW creation & review,Emergency response & rescue disciplines (as directed) Active participant in identifying & maintaining compliance for all equipment & assets Active engagement with contractors, to include site 'go to' when required & permit to work support as needed Supporting operations & continuous improvements utilising tools such as Kaizen & autonomous maintenance Utilise CMMS/handovers & other available reporting tools to drive 100 year fix methodology with high level of detail & attention to accuracy Demonstrable customer focus, supporting OEE improvements & production uptime Active engagement & ability to identify & drive priority tasks/actions in absence of planner/manager Active participant in PPM creation & existing PPM review Conduct forensic and Root Cause Failure Analysis of asset failures with demonstrable fault finding on complex systems Active member of 'one site' ethos with support of wider functions to include Facilities when requirement arises due to PPM or breakdown activity Perform inspections of adjustments, parts, part replacements, overhauls, etc., for selected equipment Active engagement with proactive identification of spares required for maintenance activities 'Can do' approach to progressing core skills & additional learning opportunities in fields of maintenance/quality/safety/production & environmental, with attendance as directed/identified by maintenance management What You'll Bring To help us make a difference, you'll bring your passion and expertise/talent for what you do along with the following skills, experience, qualification and attributes: Essential: Experience in Maintenance Electrical/Mechanical Engineering Demonstrable experience in roles requiring aspects such as (but not limited to) working at Height & Confined Spaces Technical expertise in maintenance/facilities Engineering, with a professional qualification / background in engineering Demonstrable safety engagement with evidence to support Experience of Continuous improvement and LEAN methodologies Experience of working on complex technical projects in global organisations Formal Safety Training to include elements of response & rescue (if not in receipt of this aspect this will be a requirement of role & training provided) Desirable: Professional qualification in an Engineering discipline IOSH/NEBOSH Apprenticeship in relevant discipline with demonstrable 'hands on' experience Experience working with a Lean Operating Model / Production System Lean or Six Sigma certification by a reputable certifying body or benchmark company Equipment/building maintenance experience within an industry requiring regulatory compliance A passion for the Aerospace industry Detailed knowledge of Maintenance Systems (Specifically Siemens PLC) What We'll Offer Once you're on board you'll get the following perks and benefits: A Competitive Salary + Shift Allowance Industry Leading Pension Scheme = we'll match your contributions up to 8% on a 1 : 1.5 basis (Totalling up to 20% Contribution) Life Assurance 8 x salary 247 Hours Annual Leave Income protection Shopping discounts Cycle To Work Scheme Employee Assistance Programme Virtual GP Clinic for you and immediate family A collaborative, dynamic working environment As well as a competitive package we'll offer you a world of opportunity. We want to see your career fly! We'll support your career progression by providing you with learning and development opportunities. That's the beauty of being part of a global business, once you're on board you never know where you career journey may take you! We'll offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further. And with some of the best training on offer in the industry, who knows how far you can go? A Great Place to work needs a Great Way of Working Everyone is welcome to apply to GKN. We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles we've created a culture where everyone feels welcome to contribute. It's a culture that won us 'The Best Workplace Culture Award'. By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work. We're also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know. We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology. TPBN1_UKTJ

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Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu