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Senior Manufacturing Engineer Are you the right applicant for this opportunity Find out by reading through the role overview below. Location: St Athan, South Wales Hours: 7:00am - 4:00pm Monday to Thursday, 7:00am - 12:00pm Friday Manpower is proud to be recruiting on behalf of Aston Martin for an experienced Senior Manufacturing Engineer to join the Manufacturing Engineering team at the iconic St Athan production facility. This is an exciting opportunity to play a key role in the continuous improvement of Aston Martin's Tub and Body Construction operations, supporting both current vehicle programmes and future model introductions. Working within a highly skilled engineering team, you will be responsible for delivering robust manufacturing processes, dimensional and quality improvements, facility developments, and production support initiatives that contribute directly to the build quality of some of the world's most desirable luxury performance vehicles. As a Senior Manufacturing Engineer, you will lead and support manufacturing projects across multiple sites, ensuring new and existing production processes are optimised for quality, efficiency, safety, and cost. You will work closely with Product Engineering, Production, Quality, Logistics, Facilities, and external suppliers to develop and implement tooling, jigs, fixtures, layouts, and manufacturing processes that meet demanding quality and performance standards. The role will involve developing and maintaining detailed process documentation, supporting new model introductions from concept through to commissioning, driving dimensional and quality improvements, resolving production issues, and implementing continuous improvement activities across the body construction facility. You will also be responsible for evaluating tooling requirements, supporting supplier quality activities, contributing to facility and layout planning projects, and representing Manufacturing Engineering within key business meetings and project reviews. This position offers a varied and hands-on working environment, with approximately 50% of your time spent on the shop floor and 50% within the office. You will act as the engineering lead on assigned projects, collaborating with multiple stakeholders to ensure successful delivery and operational excellence. To be successful, you will have previous Manufacturing Engineering experience within the automotive or aerospace sector and a recognised engineering apprenticeship. You will possess a strong understanding of manufacturing processes, tooling development, problem-solving methodologies, data analysis, and continuous improvement techniques. Experience supporting low-volume manufacturing environments, together with the ability to communicate effectively and influence stakeholders at all levels, will be highly beneficial. Applicants must hold a minimum ONC qualification alongside substantial engineering experience within a motor vehicle manufacturing environment. A HNC or degree qualification would be advantageous. Experience of new model introduction, tooling development, facility installation, and commissioning activities is also desirable. This opportunity would suit an adaptable and proactive engineer who enjoys solving complex manufacturing challenges, driving improvement initiatives, and working within a fast-paced environment where quality, innovation, and craftsmanship are at the heart of everything they do. If you are looking to take the next step in your manufacturing engineering career with one of the world's most prestigious automotive brands, we would love to hear from you. Apply today through Manpower to be considered for this exceptional opportunity with Aston Martin at St Athan. xrnqpay If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Elliott Moss Consulting Pte. Ltd. is seeking an AI Engineer to design, develop and deliver scalable enterprise AI solutions that blend AI/ML engineering with AI-powered UX design. You will work with Data Scientists, ML Engineers, UX Designers, Product Managers, and Cloud Architects to create user-centric, production-ready AI systems. The role emphasizes hands-on development, model evaluation, and collaboration across data processing, cloud platforms and governance for enterprise-scale #J-18808-Ljbffr

JMC Aviation Verified Saint Athan, Vale of Glamorgan, Wales Aircraft Maintenance Engineers B1 Licensed Engineer Onsite Full time 8 days ago Job Title: B1 Licensed Engineer - B737 and A320 Location: St Athan, South Wales Employment Type: Contract Start Date: Immediately • Contract Length: ongoing, • Shift Pattern: 5 / 5 / 4 (7am - 7pm), • IR35 Status: Outside On behalf of our client, a leading organisation in the aviation industry, we are currently recruiting for a B1 Licensed Engineer who holds a CAA with recency on B737 and A320 (holding EASA as well as CAA is highly desirable) to support their maintenance activities within a P145 environment. This is a fantastic opportunity to join a dynamic environment with a strong focus on safety, compliance, and technical excellence. • Ensure that all maintenance documentation and relevant forms are fully completed, including that of the team members allocated to assist and that all required reporting is performed in a timely manner., • Perform respective maintenance activities to ensure that all maintenance actions are performed efficiently and in a timely manner., • Liaison with the management with regards to progress, manpower, critical path and third-party requirements., • Maintain standard engineering practices such as task control, general husbandry, workplace cleanliness and FOD prevention/rectification measures., • CAA B1 Licence (Very advantageous if you hold EASA too), • A320 and B737 type rating (essential), • Logbooks showing 6 months recency in the last 2 years (on relevant aircraft), • Right to work in the UK At JMC Aviation, we specialise in aviation recruitment across [engineering services and training to airlines, MROs and OEMs, leasing and asset management companies, and component overhaul organisations]. With deep industry knowledge and a global network, we match the right talent to the right roles — contract or permanent. • Industry-leading compliance support, • Fast onboarding and documentation assistance, • Dedicated recruitment consultant, • Placements across the globe, • Extensive experience and knowledge of the aviation sector JMC Aviation is committed to equal opportunity and diversity in the workplace. All applicants will be considered based on merit, qualification, and business need, regardless of age, gender, nationality, or background. We operate in full compliance with global aviation recruitment regulations. In applying for the above position and sharing your personal data with JMC Aviation Limited, you acknowledge that your personal data will be processed in accordance with our Privacy Policy (found on our website). #J-18808-Ljbffr

United Kingdom is seeking an experienced Databricks Architect / Lead Data Engineer to design, build, and deliver enterprise-scale data platforms on Databricks and AWS.You will own the lakehouse architecture, develop scalable data pipelines, and enable AI/ML workloads, including Generative AI use cas

Engineering leadership role accountable for Wealthify's engineering capability, delivery and craft. Launched in 2016, Wealthify is an ambitious, multi-award-winning, digital investment platform owned and backed by Aviva. We blend easy-to-use technology with expert stock market management, to make it really simple for people to invest with confidence and we're looking for the very best talent to help us achieve this. As a company, we value simplicity, speed, trust, and teamwork. We listen to, learn from, and back each other, creating an environment where everyone feels respected, confident, and comfortable voicing their opinions. So, if that sounds like the kind of place you want to work, this could be your perfect opportunity to join us. Chief Product & Technology Officer Approx. 25 engineers and testers across 3 squads Tech Leads, Lead Automation Tester, DevOps Lead Senior leadership within the CPTO function Wealthify is growing the CPTO function by creating a new Head of Engineering role. The role holder will take day-to-day accountability for the engineering and test organisation, partnering with the Head of Product, Head of Design and Head of Data to deliver Wealthify's roadmap. This is a high-impact leadership role for an engineer-manager who is as comfortable shaping team culture and career paths as they are scrutinising delivery metrics, incident response and production quality. You will set the bar for engineering excellence at Wealthify, how we build software — including embedding agentic coding and AI across the SWE lifecycle — and own the cadence and quality of everything we ship. • Partner with the Head of Product as the senior engineering counterpart, jointly owning the delivery of the product roadmap and quarterly outcomes., • Translate product intent into technical strategy, sequencing and realistic commitments; proactively surface trade-offs between scope, quality and time., • Represent engineering in roadmap, prioritisation and investment conversations, ensuring engineering effort is clearly connected to customer and business outcomes., • Build a shared operating rhythm between Product and Engineering — planning, review, retrospective and continuous-improvement cycles., • Hold end-to-end accountability for the engineering and QA organisation — including software engineers, app developers, web engineers, automation testers and developer support., • Own hiring across the function: workforce planning, defining the engineering competency framework, running a rigorous and inclusive interview process, and protecting the hiring bar., • Develop people: set clear expectations at every level, run meaningful career conversations, build individual development plans, and grow leaders and specialists from within., • Manage performance directly and fairly — calibrating across the team, recognising strong contribution, and addressing under-performance early and constructively., • Shape engineering culture: psychological safety, high standards, craft pride, inclusion, and a shared sense of ownership for what we ship., • Own Wealthify's engineering delivery capability — the ability to ship working, high-quality software at a predictable cadence., • Embed DORA as the primary engineering health dashboard: deployment frequency, lead time for changes, change failure rate and time to restore service. Use the numbers to drive continuous improvement rather than as a scorecard., • Drive throughput and flow: reduce work-in-progress, shorten cycle time, eliminate hand-offs, and remove the organisational friction that slows teams down., • Invest in the inner loop — build times, developer experience, CI/CD, test automation, trunk-based workflows and deployment safety — so engineers spend their time on meaningful work., • Set and hold engineering standards: coding standards, code review, testing pyramid, architecture review, and technical-debt management., • Own the DevOps and Dev Support function: production reliability, observability, alerting, on-call health and service-level objectives for Wealthify's engineering-owned systems., • Own engineering incident management end-to-end: preparedness, response rhythm, communication, post-incident review and follow-through on actions — fostering a blameless culture that learns from every incident., • Own bug management: prioritisation, ageing, service-level targets for defects, and the feedback loop between production issues and engineering quality., • Maintain a clear, shared view of production health and risk, and make it visible to CPTO and wider stakeholders., • Lead the adoption of agentic coding tools and AI assistance across the full software-engineering lifecycle — from discovery and design, through implementation, review, testing and operations., • Set the policy for safe and effective AI use in engineering: tooling choice, data handling, IP protection, review expectations, and quality gates., • Measure the impact of AI adoption on DORA metrics, developer experience and engineering quality — and iterate based on evidence, not hype., • Grow AI-fluency in the engineering team through enablement, pairing, internal guilds and hiring; make effective use of AI an expected engineering skill, not a specialism., • Partner with the CPTO on the broader AI agenda for Wealthify, ensuring engineering contributes directly to — and benefits from — that strategy., • Partner with the CPTO on technology strategy, architectural direction and build-vs-buy decisions., • Own the engineering contribution to non-functional requirements — security, resilience, performance, compliance and regulatory obligations in an FCA-regulated environment., • Represent engineering confidently with SLT, wider Aviva technology leadership, Product and Design, and external partners., • Be the senior engineering escalation point for delivery, quality, reliability and people matters., • Champion an engaged, transparent engineering community — all-hands, demos, guilds and written communication., • Experience leading engineering teams — as a Head of Engineering, senior Engineering Manager, or in an equivalent role — in a customer-facing product environment., • Experience delivering product roadmaps in close partnership with a Head of Product or equivalent., • Enough technical depth to make sound architectural and delivery decisions, and to work closely with senior engineers on theirs., • Experience using delivery metrics to improve throughput, quality and developer experience., • Experience with production ownership: SRE, developer support, incident management and bug management., • Experience recruiting, growing and supporting engineers across a range of levels, including through performance conversations., • Interest in agentic coding and AI in the software-engineering lifecycle, and ideally some practical experience introducing these tools to a team., • Clear communication and stakeholder management, and comfort representing engineering to SLT and wider leadership., • Experience in a regulated environment — fintech, wealth, investments or comparable., • Familiarity with cloud platforms (Azure especially), modern web and mobile stacks, and CI/CD tooling., • Experience leading through organisational change or growth., • Experience running or supporting engineering communities, guilds or internal tech forums. This is an opportunity to shape the engineering organisation of a growing digital-first investment business, with the backing and scale of Aviva behind it. You will inherit a capable and collegial team, a CPTO who is committed to their success, and a clear mandate to raise the bar on delivery, quality and engineering craft — including being at the leading edge of how AI reshapes software engineering. • Salary – up to £100k depending on experience, • 24 days of holiday a year (with an additional day’s holiday for each full year served, up to 28 days), • Annual discretionary bonus,linked to company and individual performance., • Private Medical Insurance, • Death in Service Cover (3 times annual salary), • Income Protection Insurance, • Company Pension Plan , with matched contributions up to 6% of base salary #J-18808-Ljbffr

Location: St Athan, South Wales Hours: 7:00am - 4:00pm Monday to Thursday, 7:00am - 12:00pm Friday Manpower is proud to be recruiting on behalf of Aston Martin for an experienced Senior Manufacturing Engineer to join the Manufacturing Engineering team at the iconic St Athan production facility. This is an exciting opportunity to play a key role in the continuous improvement of Aston Martin's Tub and Body Construction operations, supporting both current vehicle programmes and future model introductions. Working within a highly skilled engineering team, you will be responsible for delivering robust manufacturing processes, dimensional and quality improvements, facility developments, and production support initiatives that contribute directly to the build quality of some of the world's most desirable luxury performance vehicles. As a Senior Manufacturing Engineer, you will lead and support manufacturing projects across multiple sites, ensuring new and existing production processes are optimised for quality, efficiency, safety, and cost. You will work closely with Product Engineering, Production, Quality, Logistics, Facilities, and external suppliers to develop and implement tooling, jigs, fixtures, layouts, and manufacturing processes that meet demanding quality and performance standards. The role will involve developing and maintaining detailed process documentation, supporting new model introductions from concept through to commissioning, driving dimensional and quality improvements, resolving production issues, and implementing continuous improvement activities across the body construction facility. You will also be responsible for evaluating tooling requirements, supporting supplier quality activities, contributing to facility and layout planning projects, and representing Manufacturing Engineering within key business meetings and project reviews. This position offers a varied and hands-on working environment, with approximately 50% of your time spent on the shop floor and 50% within the office. You will act as the engineering lead on assigned projects, collaborating with multiple stakeholders to ensure successful delivery and operational excellence. To be successful, you will have previous Manufacturing Engineering experience within the automotive or aerospace sector and a recognised engineering apprenticeship. You will possess a strong understanding of manufacturing processes, tooling development, problem-solving methodologies, data analysis, and continuous improvement techniques. Experience supporting low-volume manufacturing environments, together with the ability to communicate effectively and influence stakeholders at all levels, will be highly beneficial. Applicants must hold a minimum ONC qualification alongside substantial engineering experience within a motor vehicle manufacturing environment. A HNC or degree qualification would be advantageous. Experience of new model introduction, tooling development, facility installation, and commissioning activities is also desirable. This opportunity would suit an adaptable and proactive engineer who enjoys solving complex manufacturing challenges, driving improvement initiatives, and working within a fast-paced environment where quality, innovation, and craftsmanship are at the heart of everything they do. #J-18808-Ljbffr

Senior Manufacturing Engineer Location: St Athan, South Wales Hours: 7:00am - 4:00pm Monday to Thursday, 7:00am - 12:00pm Friday Manpower is proud to be recruiting on behalf of Aston Martin for an experienced Senior Manufacturing Engineer to join the Manufacturing Engineering team at the iconic St Athan production facility. This is an exciting opportunity to play a key role in the continuous improvement of Aston Martin's Tub and Body Construction operations, supporting both current vehicle programmes and future model introductions. Working within a highly skilled engineering team, you will be responsible for delivering robust manufacturing processes, dimensional and quality improvements, facility developments, and production support initiatives that contribute directly to the build quality of some of the world's most desirable luxury performance vehicles. As a Senior Manufacturing Engineer you will lead and support manufacturing projects across multiple sites, ensuring new and existing production processes are optimised for quality, efficiency, safety and cost. You will work closely with Product Engineering, Production, Quality, Logistics, Facilities and external suppliers to develop and implement tooling, jigs, fixtures, layouts and manufacturing processes that meet demanding quality and performance standards. The role will involve developing and maintaining detailed process documentation, supporting new model introductions from concept through to commissioning, driving dimensional and quality improvements, resolving production issues and implementing continuous improvement activities across the body construction facility. You will also be responsible for evaluating tooling requirements, supporting supplier quality activities, contributing to facility and layout planning projects and representing Manufacturing Engineering within key business meetings and project reviews. This position offers a varied and hands‑on working environment, with approximately 50% of your time spent on the shop floor and 50% within the office. You will act as the engineering lead on assigned projects, collaborating with multiple stakeholders to ensure successful delivery and operational excellence. To be successful you will have previous Manufacturing Engineering experience within the automotive or aerospace sector and a recognised engineering apprenticeship. You will possess a strong understanding of manufacturing processes, tooling development, problem‑solving methodologies, data analysis and continuous improvement techniques. Experience supporting low‑volume manufacturing environments, together with the ability to communicate effectively and influence stakeholders at all levels, will be highly beneficial. Applicants must hold a minimum ONC qualification alongside substantial engineering experience within a motor vehicle manufacturing environment. A HNC or degree qualification would be advantageous. Experience of new model introduction, tooling development, facility installation and commissioning activities is also desirable. This opportunity would suit an adaptable and proactive engineer who enjoys solving complex manufacturing challenges, driving improvement initiatives and working within a fast‑paced environment where quality, innovation and craftsmanship are at the heart of everything they do. #J-18808-Ljbffr

Job Title: B1 Licensed Engineer – A350 Location: Barry, South Wales Employment Type: Contract Salary/Rate: £86.29 per hour Start Date: ASAP • Shift Pattern: 4 on / 4 off, 06:20-18:20, • Rate: £86.29 per hour, • IR35 Status: Inside IR35, • Tooling: Provided We are recruiting a B1 Licensed Engineer with A350 experience for ongoing base maintenance work in Barry, South Wales. You will carry out maintenance tasks on A350 aircraft within a safety-focused, compliant engineering environment. This contract offers a 4-on, 4-off shift pattern, with tooling provided. • Carry out scheduled and unscheduled base maintenance tasks on A350 aircraft., • Inspect aircraft systems and components, identify defects and complete rectification work in line with approved maintenance data., • Certify completed work within the scope of your licence and company approvals, following all applicable procedures and safety requirements., • Complete accurate work cards and maintenance records, and provide clear handovers to colleagues and the client team., • UK CAA or EASA Part-66 B1 licence., • A350 type rating and recent, relevant A350 maintenance experience., • Previous experience carrying out aircraft base maintenance., • Right to live and work in the UK., • Up-to-date licence, training records and maintenance logbooks., • Experience working within a Part-145 maintenance environment., • Strong understanding of approved maintenance data and aircraft documentation., • A safety-conscious, reliable approach and the ability to work effectively as part of a team., • Industry-leading compliance support, • Fast onboarding and documentation assistance, • Dedicated recruitment consultant, • Placements across the globe, • Extensive experience and knowledge of the aviation sector JMC Aviation is committed to equal opportunity and diversity in the workplace. All applicants will be considered based on merit, qualification, and business need, regardless of age, gender, nationality, or background. We operate in full compliance with global aviation recruitment regulations. In applying for the above position and sharing your personal data with JMC Aviation Limited, you acknowledge that your personal data will be processed in accordance with our Privacy Policy (found on our website). #J-18808-Ljbffr

We are looking for an AI Engineer with strong expertise in Artificial Intelligence, Machine Learning, Generative AI, Google Cloud and AI-powered User Experience (UX) to design, develop and deliver scalable enterprise AI solutions. The role combines hands-on AI/ML engineering with AI/UX design, working closely with Data Scientists, ML Engineers, UX Designers, Product Managers, Cloud Architects and business stakeholders to build intelligent, user-centric and enterprise-ready solutions. • AI/ML Engineering & Solution Development Design, develop and support scalable and optimised AI/ML solutions for enterprise use cases., • Develop and implement AI/ML algorithms and solutions based on business and user requirements., • Build data processing workflows for extracting, transforming and loading large volumes of structured and unstructured data., • Prepare, integrate and transform data required for AI/ML model development and deployment., • Work with Data Scientists and ML Engineers to convert analytical and theoretical models into production-ready AI solutions., • Conduct experiments to evaluate model performance, accuracy, scalability and reliability., • Identify, troubleshoot and resolve issues affecting deployed AI/ML solutions., • Apply statistics, scripting and programming skills to develop and optimise AI solutions., • Work with relevant software platforms and cloud environments where AI/ML models are developed and deployed., • Google Cloud AI & Generative AI Design and deliver AI solutions using Google Cloud AI services, including Vertex AI and managed ML services., • Develop enterprise use cases using Generative AI, LLMs, foundation models, embeddings and conversational AI., • Design AI/ML pipelines covering data ingestion, processing, model development, testing, deployment and monitoring., • Work with BigQuery, data pipelines and Google Cloud analytics services to support AI/ML workflows., • Integrate Google AI APIs for use cases including Natural Language, Vision, Speech, Search and Recommendations., • Evaluate and experiment with emerging Google AI capabilities and translate them into practical enterprise solutions., • Balance custom AI/ML development with managed Google Cloud services based on performance, scalability, cost and business requirements., • MLOps & Model Lifecycle Support model training, validation, deployment, monitoring and lifecycle management., • Implement appropriate MLOps practices for model versioning, deployment and monitoring., • Monitor deployed models and identify opportunities for performance optimisation., • Support continuous improvement of AI/ML solutions based on model performance and user feedback., • Ensure AI solutions are scalable, reliable and suitable for enterprise production environments., • AI/UX & User Experience Design AI-powered experiences that translate complex AI capabilities and model outputs into intuitive user interactions., • Work with UX teams to integrate AI capabilities across web, mobile, conversational interfaces, dashboards and enterprise applications., • Design interfaces that allow users to understand, validate and act on AI-generated insights., • Develop explainable and transparent AI experiences that improve user trust and adoption., • Design human-in-the-loop workflows where users can review, challenge and provide feedback on AI outputs., • Contribute to user research, journey mapping, prototyping and usability testing for AI-powered products. Translate user needs and business requirements into practical AI solution designs., • Data, Analytics & AI Insights Work with Data Scientists, Data Engineers and Analytics teams to prepare and utilise data for AI solutions., • Analyse complex datasets and AI outputs to identify actionable business insights., • Define and track AI solution KPIs including model performance, adoption, accuracy, user engagement and business impact., • Support experimentation and A/B testing to evaluate AI features and user experiences., • Assess data quality, bias and representativeness to support reliable AI outcomes., • Responsible AI & Governance Apply responsible AI principles throughout the design and development lifecycle., • Identify and address risks relating to bias, fairness, privacy, security, transparency and explainability., • Support responsible use of enterprise data in AI/ML solutions., • Ensure AI solutions align with applicable data protection, security and regulatory requirements., • Promote transparent and human-centred AI design practices., • Stakeholder & Client Collaboration Collaborate with Product Managers, UX Designers, Data Scientists, Data Engineers, Cloud Architects and business stakeholders., • Translate business requirements into technical AI/ML solutions and user-centric experiences., • Lead technical discussions, AI solution workshops and design-thinking sessions with stakeholders., • Communicate AI concepts, model outputs and technical considerations to both technical and non-technical audiences., • Support client engagements, solution proposals, proof-of-concepts and AI transformation initiatives., • Bachelor's in Computer Science, Information Technology, AI/ML or related fields., • 3+ years of professional experience in AI/ML engineering, AI solution development or related AI engineering roles., • Strong hands-on experience developing and deploying AI/ML solutions., • Experience with data extraction, transformation, integration and processing for AI/ML applications., • Strong programming/scripting skills in Python or equivalent programming languages., • Strong understanding of machine learning, statistics, algorithms and model evaluation., • Experience working with Generative AI, LLMs, embeddings and conversational AI., • Hands-on experience with Google Cloud AI / Vertex AI or comparable enterprise AI/ML platforms., • Experience with BigQuery, cloud data pipelines and analytics platforms., • Understanding of MLOps, including model training, deployment, monitoring, versioning and lifecycle management., • Experience troubleshooting and optimising deployed AI/ML models., • Experience designing or contributing to AI-powered UX and enterprise digital experiences., • Knowledge of UX principles, user research, prototyping and human-centred design is highly desirable., • Experience with Figma or similar UX/prototyping tools is an advantage., • Strong understanding of responsible AI, explainability, data privacy and AI governance., • Excellent communication, stakeholder management and presentation skills., • Experience working in Agile, Design Thinking or cross-functional product development environments. #J-18808-Ljbffr

We are seeking a highly skilled Senior Azure Systems Engineer to be responsible for building, operating, and maintaining enterprise-grade system infrastructure natively on Microsoft Azure, as well as managing complex hybrid-cloud environments. This role acts as a bridge between traditional systems administration and modern cloud operations, focus areas including operating system management (Linux/Windows), hybrid connectivity, virtualization, and identity systems within the cloud ecosystem. • Hybrid Systems Infrastructure: Build and manage scalable architectures linking on-premises systems, legacy datacenters, and edge networks directly to Microsoft Azure using technologies like Azure Arc and ExpressRoute., • OS & Workload Engineering: Supervise the deployment, configuration, licensing, and security patching of enterprise virtualised infrastructure, including Windows Server and Enterprise Linux distributions running inside Azure compute layers., • Identity & Directory Services: Manage enterprise identity management fabrics, including Microsoft Entra ID (formerly Azure AD), Entra Domain Services, active directory sync topologies, and role-based access management (RBAC)., • Systems Automation: Eliminate manual administrative tasks by writing robust automation scripts using PowerShell, Azure CLI, and deployment frameworks like ARM templates or Azure Bicep., • Business Continuity: Architect, routinely test, and maintain enterprise backup topologies and disaster recovery strategies using Azure Backup and Azure Site Recovery (ASR)., • Working knowledge of Azure Virtual Desktop., • Performance Operations: Monitor OS-level performance, troubleshoot deep system bottlenecks, manage enterprise logging via Log Analytics, and configure alerts through Azure Monitor., • Experience: 5+ years of systems engineering experience, with at least 3+ years architecting and supporting enterprise systems workflows in Microsoft Azure., • Core Technical Skills: Deep, production-grade knowledge of core server operating systems (Windows Server, Red Hat, Ubuntu) and advanced troubleshooting methodologies., • Comprehensive understanding of foundational networking concepts (DNS, DHCP, TCP/IP, routing, load balancers, and firewalls)., • Practical expertise scriptwriting in PowerShell or Python to automate repetitive system tasks., • Platform Proficiencies: Proven track record deploying core Azure IaaS components (Virtual Machines, Managed Disks, Virtual Networks, Key Vault, and Blob Storage)., • Certifications: Active Microsoft Certified: Azure Administrator Associate or Microsoft Certified: Azure Solutions Architect Expert designations are highly desirable., • Modernized, reliable server infrastructure operating with 99.99% uptime across both cloud and hybrid environments., • Highly structured system environments where configurations are entirely automated, auditable, and compliant with corporate governance baselines., • Proactive infrastructure monitoring that traps Our compensation reflects the cost of labor across several geographic markets. The compensation range for this position ranges from 56,547.00/year in our lowest geographic market up to 73,336.00/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. Location: UK-Cardiff; UK-Hayes-Hyde Park Hayes Type: Full time #J-18808-Ljbffr

We are building Maxify, an AI-native operating platform where agents own real business workflows, act through company systems and remain accountable to source data, permissions, evaluations and measurable outcomes. We are looking for a Software Engineer to build and operate production AI workflows on top of our shared platform. You will translate validated business processes into reliable agents that connect to company data, tools and systems and produce measurable outcomes. This is not a prompt-writing or chatbot role. You will own complete workflows from discovery and tool design through testing, deployment, monitoring and improvement. • Validate users, pain points, sources of truth, baseline metrics and expected value before building., • Model business processes as explicit states, actions, decisions, approvals and exception paths., • Build business-specific agents that complete production workflows end-to-end., • Develop tools, structured outputs and context strategies., • Integrate approved APIs, databases and enterprise systems., • Use deterministic code where probabilistic model behavior is unnecessary or unsafe., • Create evaluations for completion, accuracy, safety and business outcomes., • Implement monitoring, escalation, exception handling and human-review paths., • Diagnose failures and convert repeated issues into tests, guardrails or platform requirements., • Measure revenue, cost, customer-experience or operational-attention improvement., • Strong production software engineering ability in Python and/or TypeScript., • Experience building LLM applications, agents or substantial workflow automation., • Experience with APIs, webhooks, databases and asynchronous processing., • Ability to translate ambiguous operations into explicit system behavior., • Understanding of tool calling, structured outputs, retrieval, context management and model limitations., • Experience testing deterministic and non-deterministic systems., • Strong debugging skills across instructions, application code, data, tools and external services., • Good judgment about when to use an LLM, deterministic code or human approval., • Ability to connect engineering work to measurable business outcomes., • Clear written communication, high agency and rapid learning., • You have shipped an agent or automation that performs real actions in production., • You can demonstrate measurable business impact from something you built., • You design approval, exception and escalation paths instead of assuming perfect model behavior., • You use AI development tools heavily while verifying and owning the result., • You can explain a failed workflow run, identify the root cause and show the prevention mechanism., • You understand that reliable agents require source data, workflow state, tools, evaluations and observability, not prompts alone., • Experience with OpenAI Agents SDK, LangGraph, OpenClaw or comparable systems., • Experience with Lark/Feishu, Shopify, CRM, accounting or enterprise SaaS integrations., • Experience with workflow automation or operations-heavy products., • Familiarity with knowledge graphs, ontology design or governed memory., • Experience working directly with business teams or customers., • Prompt engineering without code or operational ownership., • Building isolated chatbot demonstrations., • Pure machine-learning research or model training., • Pure frontend, data-science or infrastructure work., • Allowing agents to act without evaluations, permissions or traceability., • Validate one business workflow, its source of truth and baseline performance., • Map its states, tools, decisions, approvals and exception paths., • Ship at least one meaningful production improvement., • Deliver one production workflow on the shared platform., • Add evaluations covering normal, edge and failure cases., • Implement monitoring, escalation and human-review paths., • Demonstrate measurable improvement in speed, quality, cost or customer experience., • Identify at least one reusable requirement for the shared platform. These outcomes are subject to timely access and platform readiness. • We move quickly and build for permanence., • We start from the business outcome and source of truth., • We use deterministic systems where they are more reliable., • We treat evaluations, observability and recovery as part of the product., • AI accelerates the work; it does not remove engineering accountability. Shortlisted candidates will complete an onsite prototyping test based on a practical AI workflow. We evaluate working output, engineering judgment, effective use of AI tools, debugging ability and clarity of explanation. #J-18808-Ljbffr

The role combines architecture leadership with hands-on engineering responsibilities, including building scalable Lakehouse solutions, modern data pipelines, and AI/ML workloads.

Government officials will NEVER ask you to transfer money or disclose bank log-in details over a phone call. The more skills you have, the better your job match. This progressive employer supports: Employment of Term Contract Employees Flexible Work Arrangements Grievance Handling Recruitment Practi

Sierra Nevada Corporation Mission Systems UK in St Athan is seeking a Senior Software Engineer (AI/ML) to contribute to advanced software solutions for UK defence and aerospace programmes. You will work with systems engineers and data specialists on research initiatives and deployable AI/ML capabilities. You'll join a growing software engineering community and help shape the future of our organisation while tackling challenging, mission-critical projects in a regulated environment. #J-18808-Ljbffr

SNC Mission Systems UK – St Athan We are looking for a Senior Software Engineer (AI/ML) to join us at SNC Mission Systems UK in St Athan. We providetailored mission systems integration and intelligence, surveillance and reconnaissance (ISR) solutions for the UK Government and its allies. Our unique strength is our mission partner approach delivered by people who have first-hand operational experience. Weunderstand the challenges, have the know-how to overcome them, and work together to succeed.Operating for over a decade, we deliver cutting-edge capabilities from open-source intelligence (OSINT) to uncrewed surface vessels and high-altitude one-way effectors that deliver true interoperability across all security levels. It is an exciting time to join SNC Missions UK as we are expanding, you will get stuck into contributing to the development of advanced software solutions for UK defence and aerospace programmes as part of the growing software engineering community in St Athan. Working closely with systems engineers on research initiatives, the role develops deployable, high-integrity software that leverages modern AI/ML technologies. You will support mission-critical projects including next-generation ISR platforms, autonomous systems and advanced decision-support tools. No two days will be the same as some of your tasks include... Developing, delivering, and continuously improving AI/ML-enabled software solutions aligned with customer needs and mission objectives. Working across the full software lifecycle within Agile teams, ensuring high-quality, secure, and reliable outputs. Collaborating with systems engineers, data specialists, and mission-domain experts to design and integrate AI/ML capabilities. Exploring emerging technologies such as agentic AI workflows, transformer architectures, and high-performance computing. We are looking for someone with a proven track record of delivering innovative AI and Machine Learning capabilities within a software development environment. You will play a key role in leading technical delivery, helping to grow the function, and working collaboratively with Systems Engineers, as well as independently, across a range of AI, ML and wider technology projects. Ideally, you will bring experience in OSINT alongside a broad software development background. Experience within the defence sector, or a similarly complex and highly regulated environment, would be advantageous. Most importantly, we're looking for someone who's excited by the opportunity to get stuck in, make a real impact, and help shape the future of our growing organisation. 28 holidays Competitive pension scheme (we contribute 10%, you contribute 5%) Tusker car scheme (salary sacrifice) Employee assistance programme Scheme via TELUS Private medical scheme via BUPA Discounts on eye tests, glasses and contact lenses Life Assurance Dental health plan (claim back money towards routine & restorative treatments) Cycle to work scheme Sage employee benefits including high street, health & wellbeing discounts Income protection Please be aware that many roles at SNC MS UK are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. SNC MS UK is an equal opportunity employer and values diversity. We encourage applications from all qualified individuals. #J-18808-Ljbffr

We are looking for a hands-on Snowflake Data Engineer to support the modernization of an enterprise data warehouse to a cloud-native analytics platform on AWS and Snowflake. You will be responsible for building scalable data pipelines, developing dimensional data models, and delivering reliable ELT

As the Senior Electrical Engineer you will be experienced in data centre design or have exposure to this sector and will understand the basic design principles of electrical services in data centre or industrial facilities. We are seeking a chartered (or working towards chartership) dynamic, flexibl

You will work across business users, analysts, data scientists and data engineers to translate business needs into trusted, secure and maintainable data assets that support reporting, analysis and decision-making across MCA. The Maritime and Coastguard Agency (MCA) is seeking a Senior Analytics Engi

Job DescriptionThe Data Centre MEP team is comprised of Associates, Principal, Senior, Engineer and graduates located across the UK, notionally working from our offices in London Aldgate and St Albans offices. The successful applicant will have an ability to lead a team of engineers working on elect

Direct message the job poster from Women in Data®. This is an exciting opportunity for an enthusiastic engineer to join the. Good knowledge of Data storage technologies and related integration concerns.

Here's what you'll do:Extensive technical delivery experience on data centre projects for technology firmsA proven track record of successful project delivery as a Principal EngineerThe ability to lead technical teams and collaborate across geographiesAmbition to contribute to thought leadership and

Reporting into the Director of Data Engineering, you’ll work hands‑on with Microsoft Fabric, SQL, Python/PySpark and Power BI, bringing data in from our booking systems, databases and third‑party APIs and shaping it into trusted, well‑modelled datasets that the business relies on every day.

Veezu is hiring a Data Engineer to build and maintain the data platform powering reporting, analytics and data science. You’ll ingest data from booking systems, databases and third‑party APIs, shaping it into trusted datasets used across the business. You’ll work with Microsoft Fabric, SQL, Py

Searchability is seeking a Python Engineer / Data Engineer to join a public sector consultancy in Cardiff on a permanent basis. The team collaborates within Agile, multidisciplinary engineering units on data, cloud infrastructure and QA. You will build Python-based solutions, develop data pipelines,

Join a team of highly technically skilled engineers who are designing Creditsafe’s new Consumer Bureau with data quality, lineage, and auditability as primary goals whilst maintaining high throughput and scalability. Our data processing application is entirely based on Python and designed to effic

Rocket Science in Cardiff is seeking a Data Platform Engineer to design, build, and enhance reliable data systems for games and partners. You will engage with stakeholders, define requirements, and make pragmatic trade-offs to deliver scalable data solutions with a strong focus on data trust and imp

You’ll build and run the data pipelines that move data from a set of Java-based applications, each with its own database technology, into Microsoft Dataverse as the target platform, all in Azure. Carrying out data mapping, cleansing, validation and migration into the Dataverse data model. Azure Da

NPAworldwide is seeking an experienced Data Engineer to join its engineering team in the UK. You will design, build and maintain robust data pipelines, ensuring data availability, accuracy, security, and performance across central government, defence, national security and critical infrastructure pr

AECOM is seeking a Senior Electrical Engineer for its Data Centre MEP team in the UK. You will deliver electrical designs and collaborate with multiple disciplines on data centres and related facilities. You should be chartered or working towards chartership, with proven data centre project experien

We're looking for a Software Engineer - AI Data to join Speechify's AI team and build the data pipelines that power our model training and next-generation AI products. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems t

Join a collaborative team focused on high throughput, low latency data delivery and data quality, with opportunities for mentoring and leadership across engineering disciplines. We seek a Data Engineer experienced with cloud-native systems to drive data pipelines, quality, and scalability.

You'll work hands-on across the engineering lifecycle using Python, cloud tech and data tooling, mentoring engineers and collaborating with data scientists and delivery teams in a hybrid setup. Searchability NS&D in Cardiff is seeking a Senior Python / Data Engineer with SC clearance to join our gro

Awareness of data standards, interoperability, data governance, and data sharing. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Experience with data engineering and pipeline technologies such as Apache Airflow and Spark.

You’ll explore new data sources, design scalable data processing systems, and collaborate with AI scientists to improve datasets and models. Speechify is seeking a Software Engineer - AI Data for a remote role in the UK. You will join the AI data team to build pipelines powering model training and

Meltwater in London is seeking a passionate AI Engineer specializing in NLP and ML to contribute to Data Enrichment efforts within Meltwater. You will work with mentors to grow, exploring transformer models and real‑time data processing.

A leading data solutions company in the UK seeks a Senior Data Engineer to enhance their data capabilities. Responsibilities include evaluating data solutions, complying with engineering standards, and collaborating across teams to foster a positive company culture. This role calls for a proactive i

We're now looking for an experienced Data Engineer to join our growing Data & Analytics team and play a key role in developing scalable, reliable, and innovative data solutions that support better business decisions across the organisation. Working closely with Data Engineers, BI Developers, and sta

Your greatest strengths should be in areas such as data pipelines, data modelling, data quality, observability, and making data trustworthy. We are especially interested in people who understand data modelling, data quality, validation, observability, cost control, and how to make data trustworthy f

Voyage Care in the UK is seeking a hands-on Data Engineer to join our Data & Analytics team in a hybrid role based in Lichfield. You'll collaborate with data engineers, BI developers and stakeholders to translate requirements into scalable solutions, improve data quality and performance, and deliver

Creditsafe Group in Cardiff is hiring a Quality Engineer to test cloud‑native software and help build EU-scale data platforms for consumer credit bureau initiatives. You will contribute to code reviews, design metadata driven data processing, and help deliver sub-500ms latency APIs for clients. Id

You’ll design and run data pipelines that move data from Java-based applications into Microsoft Dataverse on Azure, while guiding the engineering team and collaborating with client stakeholders. IntaPeople is helping a fast-growing software house in South Wales recruit a senior Data Engineer for a

This role is ideal for a talented and ambitious professional IT Systems and Data Centre Engineer. Strong understanding of IT security and data protection best practices.

Senior Data Engineer having extensive experience in GCP(Google Cloud Platform) data area or any Cloud experience. Acting on core engineering principles and values (accountability, transparency, consistency, quality, re-usability and an automate where possible attitude). Being passionate about busine

Cardo Group is seeking an Integration/API Engineer to design, develop and maintain APIs and data integrations across our systems, partners and data platforms. You will work with Head of Data & Analytics and engineers to deliver secure, scalable integrations that support our mission to connect system

A prominent tech community in Cardiff is seeking a Mid-Senior GenAI Engineer to develop backend services and multi-device applications.

We’re looking for a Data Engineer experienced in testing cloud-native software systems. You understand and can implement data engineering best practices. Our continued success has made us the most used business data provider in the world and one of the industry’s strongest growing business intel

Requirements - IT Systems and Data Centre Engineer. Benefits - IT Systems and Data Centre Engineer. This role is ideal for a talented and ambitious professional IT Systems and Data Centre Engineer.