12295 jobs found

Senior Data Platform Engineer / Data Architect Python AWS Terraform Kafka Event-Driven Architecture We are looking for a Senior Data Platform Engineer to join a team building a modern, cloud-native data platform on AWS. This is a highly hands-on engineering role focused on designing, building, deploying, and troubleshooting platform components not producing architecture documentation or leading governance activities. You'll work alongside experienced engineers to build the platform foundation that supports data products across the business. This role is ideal for someone who enjoys solving complex technical problems, writing production-quality code, and taking ownership of infrastructure and platform capabilities. What You'll Be Doing Build, deploy, and maintain cloud-native platform components on AWS Develop infrastructure using Terraform (Infrastructure as Code) Design and implement event-driven architectures using Kafka Develop automation, platform tooling, and services using Python Deploy code through multiple environments and support platform delivery Build scalable, resilient, secure, and observable platform services Troubleshoot complex distributed systems and production issues Improve developer experience through automation, self-service tooling, and platform enhancements Collaborate closely with engineering teams to deliver reliable platform capabilities Contribute to platform engineering best practices and continuous improvement What We're Looking For We're looking for an engineer who enjoys building systems and solving technical challenges. You'll be comfortable getting into the detail, debugging issues, and explaining the reasoning behind your technical decisions. Essential Skills Strong hands-on experience with AWS Excellent knowledge of Terraform (CloudFormation considered) Proven experience building Event-Driven Architectures Strong hands-on experience with Kafka (Confluent experience beneficial) Strong Python development skills Experience building cloud-native platforms and distributed systems Experience deploying and supporting applications across multiple environments Strong debugging and problem-solving skills Nice to Have Experience with EKS, Lambda, Fargate, DynamoDB or similar AWS services Experience with observability, monitoring and platform automation Knowledge of CI/CD pipelines and DevOps practices Experience improving developer experience and internal engineering platforms About You You'll be someone who: Enjoys building rather than just designing systems Can explain how you diagnose and resolve complex technical issues Has a strong engineering mindset with excellent technical depth Takes ownership and delivers high-quality solutions Thrives in collaborative engineering teams Brings technical maturity and pragmatic decision-making Location London Based 2-3 days per week

Power Platform Developer - London Hybrid 2/3 days per week - SC Cleared - Inside IR35 Power Platform Engineer with Microsoft D365 and Power Platform inlcuding Power Apps and Automate experience of delivering solutions using the full Software Development Lifecycle. Indepth experience of solution delivery using the full software development lifecycle to include but not limited to working with Agile and DevOps methodologies focusing on delivery, automatice regression testing, TDD and monitoring. Experienced in programming custom .NET workflows and plug-ins Good knowledge of Power Pages and Power BI Good knowledge of Azure cloud platform especially Logic Apps, Functions and Service Bus Good knowledge of agile delivery methodologies as associated toolsets such as Jira Good knowledge of CoPilot Studio and creating agents Knowledge of CI/CD Pipelines and DevOps toolchains Excellent opportunity to join a forward thinking organisation.

Job Title: Data Engineer Location: Greater Manchester (Hybrid - 3 days per week onsite) Salary: 60,000 - 70,000 + Bonus + Excellent Benefits We're working with a well-established, market-leading organisation that is investing heavily in its data and technology capabilities. They are looking to appoint an experienced Data Engineer to lead the development of a modern cloud-based data platform that will support reporting, analytics and business decision-making across the organisation. This is an exciting opportunity to join a growing business undergoing digital transformation, where you'll have the opportunity to influence the design, architecture and future direction of the company's data platform. The Role As a Data Engineer, you'll be responsible for designing, building and maintaining a scalable cloud-based data platform that integrates data from multiple business systems into a trusted, high-quality source for reporting and analytics. Working closely with technical teams and business stakeholders, you'll build robust data pipelines, improve data quality and governance, and help shape the organisation's long-term data strategy. This role offers the chance to work on both greenfield initiatives and the enhancement of existing data capabilities. Key Responsibilities Design, build and maintain a modern cloud-based data platform. Develop scalable ETL/ELT pipelines to integrate data from multiple operational systems, ERP platforms and high-volume transactional sources. Build reliable, high-performance data solutions for reporting and analytics. Design scalable data models using dimensional modelling techniques including star schema and Data Vault methodologies. Evaluate and modernise existing data architecture, identifying opportunities to improve performance, scalability and governance. Ensure robust data governance, security and engineering best practices are followed. Work closely with technical teams and business stakeholders to understand data requirements and deliver practical solutions. Produce high-quality technical documentation and support continuous improvement initiatives. About You You'll be an experienced Data Engineer who enjoys solving complex technical challenges and building scalable cloud data solutions. You'll be equally comfortable working strategically on architecture as you are delivering hands-on engineering work. Essential Experience Significant experience as a Data Engineer or in a similar position. Strong SQL skills with experience of both relational and NoSQL databases. Experience building cloud-based data platforms using Azure, AWS, GCP or similar. Strong Python experience. Solid understanding of ETL/ELT processes and modern data warehousing principles. Experience with dimensional modelling, data governance and data architecture. Experience with Power BI and DAX. Experience integrating ERP and other operational business systems. Excellent stakeholder management and communication skills. Strong technical documentation skills. Personal Attributes Comfortable working within a fast-paced, evolving environment. Enjoys solving complex business and technical problems. Strong analytical and troubleshooting skills. Takes ownership and delivers high-quality solutions. Detail-oriented with a proactive approach. Able to communicate complex technical concepts to both technical and non-technical audiences. What's on Offer Salary of 60,000- 70,000 Annual bonus of up to 10% Hybrid working (3 days onsite) 25 days holiday plus bank holidays Pension scheme The opportunity to play a key role in shaping a modern cloud data platform. Significant influence over data architecture and engineering best practice. Excellent career development within a growing, technology-focused organisation. If you're an experienced Data Engineer looking for the opportunity to build and evolve a modern cloud data platform within a growing business, we'd love to hear from you. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.

Graduate Data Analyst Location: Gateshead / North East (Hybrid) Salary: £25,000 £32,000 + Benefits Kickstart Your Career in Data Radiant Financial are building a modern data platform (Project Helios on Microsoft Fabric) and we're looking for a Graduate Data Analyst to join our growing Technology & Data team. This is a genuine graduate development opportunity with hands-on experience, mentoring, and a clear pathway into Data Engineering / Analytics Engineering. If you're curious, analytical, and motivated to learn quickly, we would love to hear from you. What You ll Gain A structured graduate development scheme with clear progression Mentorship from an experienced Senior Data Engineer Early responsibility with real business impact A defined pathway into Data Engineering or Analytics Engineering Exposure to a modern tech stack including: SQL, Python, Power BI, Microsoft Fabric and Azure About the Opportunity You will begin with broad exposure across data systems, including testing, validation and analysis, before progressing into a more specialised data role. This approach builds a strong foundation and sets you up for long-term success. What We're Looking For Essentials: 2:1 or above in a numerate or data-focused degree (e.g. Computer Science, Data Science, Mathematics, Statistics, Engineering) Strong analytical and problem-solving skills Working knowledge of SQL (joins, filters, aggregations) Understanding of relational databases and structured data Good Excel skills High attention to detail and commitment to data accuracy Strong communication skills, both technical and non-technical A proactive attitude with a genuine desire to learn Desirable: Experience with Power BI or similar reporting tools Basic knowledge of Python or DAX Exposure to Azure, Microsoft Fabric or cloud data platforms Awareness of data quality processes, validation or testing Experience or interest in financial services or regulated environments What You'll Be Doing Build and maintain reports and dashboards used across the business Write SQL (and develop Python and DAX skills) for reporting and data extraction Perform data quality checks and reconciliations across key datasets Investigate discrepancies and ensure data accuracy and reliability Test and validate reports, data models and system changes Support KPI and management information reporting for stakeholders Document data definitions and reporting logic Assist with data ingestion and transformation within Microsoft Fabric Contribute to automation and continuous improvement initiatives Why Join Us? We believe people do their best work when they feel supported, valued, and part of a positive culture. At Radiant, you ll benefit from: Work-life balance: Early finish every Friday at 2:15pm, plus flexible hybrid working, with only one day in the office required. Generous holiday package: 28 days annual leave + bank holidays, plus your birthday off. Financial security : 4x salary death-in-service cover, up to 5 years income protection, and 5% employer-matched pension contributions. Health & wellbeing: MediCash benefits including 24/7 GP access, mental health support, and retail discounts. Professional growth: Ongoing training and career development through the Radiant Academy. Friendly team culture: Join a collaborative, approachable group of professionals who value both excellence and support. Ready to Apply? If you are a graduate looking to build a long-term career in data, apply now and join a team where you can learn quickly, grow your skills, and make an impact from day one.

The client is undergoing a transformation of its Identity and Access Management practices including the delivery of a set of net new tools to overhaul how IAM is carried out in the industry. We are seeking experienced and dynamic Security Engineer who have an excellent understanding of Identity Management, with a successful track record of working in complex global organisations at fast pace. In this role, you will: Design and implement security controls across the IDAM 2.0 platform. Embed Secure by Design principles throughout solution delivery. Implement and maintain Zero Trust security controls. Configure and maintain authentication and authorisation security mechanisms. Implement secure service-to-service communication using mutual TLS (mTLS). Implement and maintain Policy-as-Code solutions using OPA and related technologies. Integrate secrets management, PKI and certificate lifecycle services. Support cryptographic key management and certificate rotation processes. Perform security reviews of solution designs, infrastructure and application code. Conduct threat modelling and security risk assessments. Develop and maintain security baselines, standards and hardening guides. Implement cloud security controls for GCP resources and Kubernetes platforms. Support identity governance, privileged access and least privilege implementation. Collaborate with Security Operations and Incident Response teams during security events. Support security assurance for third-party integrations and supplier solutions. Essential Skills : Information Security Engineering Identity and Access Management (IAM) Zero Trust Architecture Authentication and Authorisation Workload Identity Agent Identity PKI and Certificate Management Cryptography Cloud Security (GCP) Kubernetes Security API Security Policy-as-Code (OPA) DevSecOps

Job Title : Embedded Software Engineer Salary : Up to £65,000 + Bonus & Benefits (Depending on Experience) Location : Bristol (Hybrid -2/3 Days per week on-site) Zenovo is looking for talented Embedded Software Engineers (minimum 4 years commercial experience) to join a Bristol based client, contributing to projects within a regulated industry, where excellence with Embedded Software Development is essential. In this role you will be involved in the ongoing development of software for Real-Time Operating Systems, working to recognised safety standards, and delivering high-quality design and test documentation. Key Skills Required: Proficient in C and Assembly programming languages Skilled in Embedded Systems Design and implementation Experienced in software development within controlled and regulated environments Proficient in working with Real-Time Operating Systems (RTOS) Strong low-level embedded engineering experience across diverse hardware platforms, including Cortex-M3, Cortex-M4, and Cortex-A7 Experienced in software requirements management and configuration control Solid understanding of the software development lifecycle (SDLC) Benefits Package Competitive pension scheme (up to 8% employer match) Discretionary annual bonus (typically around 10%) 25 days annual leave plus 8 bank holidays Private medical healthcare Clear Progression & Development Roadmap Hybrid working and flexitime

Job Opportunity: PKI Engineer (6-Month Contract) Location: London or Brighton (Open to either location) Contract Duration: 6 Months Job Type: Contract About the Role Are you an experienced Public Key Infrastructure (PKI) professional looking for your next challenge? We are currently seeking a highly skilled and motivated PKI Engineer for a 6-month contract. In this role, you will play a critical part in designing, deploying, and managing certificate lifecycles, working with industry-leading PKI products and cloud identity platforms. If you have a strong background in cryptography, certificate management, and Azure ecosystems, we want to hear from you! Key Requirements (What You Bring) To be successful in this role, you should have hands-on experience and a solid understanding of the following: Core PKI Expertise: Strong working knowledge of PKI management and concepts, including Certificate Authority (CA) deployment, template creation, and end-to-end certificate lifecycle management. PKI Products: Proven experience or exposure implementing solutions such as Keyfactor, EJBCA, Auto-enrollment, and Orchestration services. Microsoft & Azure Ecosystem: Solid understanding of Azure federation, identity synchronization, ADFS, and core networking concepts. Hands-on experience with Active Directory (AD), Azure AD, and Active Directory Certificate Services (ADCS), as well as NDES. Architecture & Design: Working knowledge of creating high-level architecture design diagrams (a specific focus on PKI architecture is a major plus). Identity & Access: Familiarity with Single Sign-On (SSO), SAML, and a strong understanding of claims-aware applications. Systems Administration: Deep understanding of roles and permissions across both Windows and Linux environments. Automation & Scripting: Proficiency in PowerShell scripting with the ability to create custom workflows for API integrations. Hardware & Lifecycle Management: Hands-on experience working with Hardware Security Modules (HSM) and Certificate Lifecycle Management (CLM) tools. Desirable Skills (Bonus Points) While not strictly required, the following skills will make your application stand out: Protocols: Knowledge and practical experience working with SCEP (Simple Certificate Enrollment Protocol), as well as ACME, CMP, and EST protocols. EJBCA: Advanced knowledge or specialized experience working specifically with EJBCA. IAM: Broad exposure to Identity and Access Management (IAM) principles and technologies. OS Familiarity: Comfort and familiarity working within Linux/Unix operating systems. ITSM Tools: Experience utilizing IT Service Management solutions such as ServiceNow or BMC Remedy. Apply today at Prasanna com with your CV highlighting your relevant PKI and Azure experience, along with your availability to start. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Ecommerce AI Engineer Office location: Paddington, London Working arrangement: Hybrid Day rate: (Apply online only) Contract status: Outside IR35 Working hours: 8 hours per day Contract duration: 12 months Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, ecommerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and ecommerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce Build and manage WordPress websites from initial concept through to launch Integrate booking engines, payment systems, ecommerce platforms and customer portals Improve website performance, security, accessibility, technical SEO and conversion rates Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing Analyse and optimise customer journeys to increase qualified leads, bookings and revenue Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation Develop AI assistants for websites, WhatsApp, email and other customer communication channels Connect AI agents with CRM, booking and customer-service platforms Automate customer enquiries, lead qualification, booking support and follow-up communications Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling Implement permissions, monitoring, escalation processes and data-privacy controls Integrate third-party systems using APIs, webhooks and data pipelines Automate repetitive commercial and operational processes Create dashboards and reporting tools covering leads, bookings, customer activity and performance Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience Evaluate build-versus-buy decisions and recommend appropriate tools and platforms Help transform internal AI tools into repeatable, client-facing products Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: At least five years' experience across AI, software engineering, ecommerce, platform engineering or a closely related area Strong development skills in Python and JavaScript or TypeScript Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations Experience integrating booking engines, ecommerce platforms and payment systems Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs Strong SQL, data-integration and dashboard-development skills Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation Experience with Opera Cloud or Opera V5 The ability to translate commercial and operational requirements into practical technical solutions Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: Hospitality, travel or multi-property booking platforms WooCommerce, Shopify or similar ecommerce technologies HubSpot, Salesforce, Zoho or comparable CRM platforms Django, React, Angular, AWS or other cloud and application-development technologies WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: Delivering effective websites, booking platforms, dashboards and AI tools Increasing qualified leads, bookings, conversion rates and customer engagement Reducing manual work through intelligent automation Developing reliable AI agents with effective accuracy, monitoring and escalation processes Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information Applicants must be UK residents No visa sponsorship is available for this role This role is hybrid, with no fully remote option Salt contact: Robert Sprigens, (url removed) Rates depend on experience and client requirements

Embedded Linux Software Engineer Location: Manchester (Hybrid - 3 days office / 2 days home) Salary: Up to 60,000 + Bonus Our client, a well-established and growing engineering business based in Manchester, is looking for an experienced Embedded Linux Software Engineer to join their software development team. This is a fantastic opportunity to work on complex, physical product-based systems with long product lifecycles, contributing to system architecture and low-level embedded development within a collaborative, technically-driven environment. You'll be working on resource-constrained embedded platforms, helping shape system architecture, and developing robust, high-quality software for real-world hardware applications. The Role As Embedded Linux Software Engineer, you'll play a key role in designing and developing software for embedded systems, working closely with hardware and firmware teams to deliver reliable, well-architected solutions. You'll bring strong object-oriented development skills and genuine embedded Linux expertise to a business that values engineering rigour and long-term product thinking. Essential Experience Experience developing for embedded Linux systems, with in-depth knowledge of system architecture design Experience developing commercial object-oriented applications using a C-like language, ideally C++ or C# Experience developing for resource-constrained embedded platforms Experience developing large-scale applications using Git version control Desirable Experience Experience developing GUI applications for embedded Linux systems A strong appreciation of the hardware environment your software runs within Professional experience developing applications in C# Development within the Debian ecosystem, including CI/CD Experience using Microsoft Visual Studio Experience developing for HMI-based systems Demonstrable knowledge of XAML/WPF development using the MVVM pattern Experience with Agile methodologies such as SAFe Knowledge of machine-to-machine communication protocols and technologies (e.g. Fieldbus, industrial Ethernet protocols, MQTT) What's on Offer Salary up to 60,000, dependent on experience Annual bonus scheme Hybrid working - 2 days from home per week The opportunity to work on complex, meaningful engineering challenges within a stable, product-focused business If you're an embedded software engineer with a strong grounding in Linux systems and object-oriented development, and you're looking to bring your skills to a business building genuinely impactful products, we'd love to hear from you.

Ecommerce AI Engineer Office Location: Paddington, London Working arrangement: Hybrid - three days per week on-site Salary Range: 45,000- 55,000 Contract Type: Permanent, full-time Working hours: 40 hours per week Salt is partnering with a forward-thinking company at the forefront of AI, technology and digital commerce to hire an Ecommerce AI Engineer. You will join a collaborative, commercially focused team, building innovative AI products, ecommerce platforms and digital tools that improve customer experience and business performance. The Role As the Ecommerce AI Engineer, you will combine software engineering, AI implementation and commercial problem-solving to build digital platforms and intelligent tools that support business growth. You will develop high-performing websites, booking and ecommerce journeys, AI communication agents, dashboards and automated workflows. Working closely with engineering, marketing, management and commercial stakeholders, you will turn business requirements into practical, measurable technology solutions. Key Responsibilities Digital Platforms and Ecommerce Build and manage WordPress websites from initial concept through to launch Integrate booking engines, payment systems, ecommerce platforms and customer portals Improve website performance, security, accessibility, technical SEO and conversion rates Manage GA4, Google Tag Manager, Search Console, Google Ads tracking and A/B testing Analyse and optimise customer journeys to increase qualified leads, bookings and revenue Develop lead-generation funnels, customer journey maps and revenue-tracking solutions AI Agents and Automation Develop AI assistants for websites, WhatsApp, email and other customer communication channels Connect AI agents with CRM, booking and customer-service platforms Automate customer enquiries, lead qualification, booking support and follow-up communications Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling Implement permissions, monitoring, escalation processes and data-privacy controls Integrate third-party systems using APIs, webhooks and data pipelines Automate repetitive commercial and operational processes Create dashboards and reporting tools covering leads, bookings, customer activity and performance Maintain strong standards across documentation, testing, monitoring and system reliability Commercial Innovation Identify opportunities to use AI and technology to improve revenue, operational efficiency and customer experience Evaluate build-versus-buy decisions and recommend appropriate tools and platforms Help transform internal AI tools into repeatable, client-facing products Collaborate with engineering, marketing, management and commercial teams to deliver measurable results Skills and Experience You should bring: At least five years' experience across AI, software engineering, ecommerce, platform engineering or a closely related area Strong development skills in Python and JavaScript or TypeScript Experience developing and optimising WordPress websites, including custom themes, plugins and API integrations Experience integrating booking engines, ecommerce platforms and payment systems Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs Strong SQL, data-integration and dashboard-development skills Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation Experience with Opera Cloud or Opera V5 The ability to translate commercial and operational requirements into practical technical solutions Strong communication, documentation and project-delivery skills Desirable Experience Experience in one or more of the following would be beneficial: Hospitality, travel or multi-property booking platforms WooCommerce, Shopify or similar ecommerce technologies HubSpot, Salesforce, Zoho or comparable CRM platforms Django, React, Angular, AWS or other cloud and application-development technologies WhatsApp Cloud API, Twilio or similar communication platforms What Success Looks Like Success in this position will include: Delivering effective websites, booking platforms, dashboards and AI tools Increasing qualified leads, bookings, conversion rates and customer engagement Reducing manual work through intelligent automation Developing reliable AI agents with effective accuracy, monitoring and escalation processes Creating new commercial opportunities through AI and digital products Interview Process Successful applicants will be asked to present examples of their work as part of the interview process. These examples could include AI agents, commercial websites, booking platforms, dashboards or automation tools. Where possible, applicants should outline the business problem, the technologies used, the results achieved and their individual contribution to the project. Important Information Applicants must be UK residents No visa sponsorship is available for this role This role is hybrid, with no fully remote option Salt contact: Robert Sprigens, (url removed) Rates depend on experience and client requirements

Senior Solution Architect - AI & Automation Remote - UK Up to £80,000 VIQU are partnering with a leading enterprise organisation embarking on a large-scale AI and automation transformation, investing heavily in intelligent technologies to enhance operational efficiency and drive innovation across the business. They are looking for a Senior Solution Architect - AI & Automation to lead the design of enterprise-scale AI, automation, and workflow solutions, working closely with business stakeholders, architecture teams, and engineering functions to deliver secure, scalable, and future-focused technology solutions. Key Responsibilities of the Senior Solution Architect - AI & Automation: Lead the design of enterprise AI, Generative AI, and intelligent automation solutions, ensuring alignment with business strategy and architectural standards Define end-to-end solution architectures across AI, automation, cloud, and enterprise platforms Work closely with business stakeholders, product owners, and technical teams to translate business requirements into scalable technical solutions Design integration strategies across complex enterprise environments using APIs, microservices, messaging, and cloud-native technologies Provide architectural oversight throughout project delivery, supporting engineering teams to ensure successful implementation Produce and maintain architecture documentation, standards, and solution artefacts using Enterprise Architecture tools Ensure solutions meet security, governance, compliance, resilience, and scalability requirements Contribute to technology roadmaps, architecture standards, and the ongoing adoption of emerging AI and automation technologies Mentor Solution Architects and provide technical leadership across the wider architecture function Key Experience Required of the Senior Solution Architect - AI & Automation: Proven experience as a Solution Architect, Software Architect, or similar role designing enterprise-scale AI, Generative AI, and intelligent automation solutions Strong experience architecting cloud-based solutions across Microsoft Azure, AWS, or Google Cloud platforms Extensive experience working with Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging solutions, ESB, and SOA Experience working with Enterprise Architecture frameworks such as TOGAF and Enterprise Architecture tooling Strong understanding of Agile delivery methodologies, including Scrum, backlog management, Epics, and User Stories Knowledge of database technologies including SQL and NoSQL, alongside modern data management best practices Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences Microsoft Solutions Architect certification is desirable, although AWS Solutions Architect certification will also be considered Apply now to speak with VIQU IT in confidence, or reach out to Katie Dark via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment. Senior Solution Architect - AI & Automation Remote - UK Up to £80,000

AI, Automation & Application Development Lead Salary - 50,000 Type of role - 12-Month FTC Location - Baston 5 Days Onsite Are you passionate about using technology to solve real business problems? We're looking for an AI, Automation & Application Development Lead to drive digital transformation across our manufacturing operations. Working directly with the Head of Operations, you'll identify manual processes, design automation solutions and develop internal applications that improve efficiency, reduce costs and modernise the way the business operates. Responsibilities Analyse operational processes and identify automation opportunities Design and develop internal business applications Build workflow automation and AI-powered solutions Integrate business systems, databases and third-party platforms Develop dashboards and reporting solutions using Power BI Replace spreadsheet-based processes with scalable digital systems Work closely with operational teams to deliver practical technology improvements Lead digital transformation initiatives from concept through implementation Required Skills Experience developing business applications or internal software Strong coding skills (Python, C#, JavaScript or similar) SQL and database knowledge API integration experience Power BI and data reporting Process automation experience Excellent stakeholder engagement skills Ability to work independently and drive change Desirable Manufacturing or industrial experience Microsoft Power Platform ERP/CRM systems AI or machine learning solutions Digital transformation projects This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo . Co .uk Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior AI Engineer is sought by a high-growth e-commerce brand based near Leeds. This rapidly scaling, multi-brand e-commerce group has achieved significant year-on-year growth and has ambitious plans to continue expanding across new markets. The business has already invested heavily in AI and automation, completing an extensive discovery and value creation programme that has identified numerous opportunities to improve efficiency, customer experience and operational performance. They are now looking for a hands-on Senior AI Engineer to turn those opportunities into reality. This is a builder's role. You'll work closely with stakeholders across the business to identify problems worth solving before designing, building and deploying AI-powered solutions that create measurable commercial value. You'll be given the autonomy to experiment, iterate quickly and see your work used across the organisation. If you enjoy taking ideas from concept through to production and want to help shape how a fast-growing business uses AI, this is an outstanding opportunity. The Role As a Senior AI Engineer, you will: - Design, build and deploy practical AI solutions using modern LLMs including OpenAI, Anthropic/Claude and emerging AI technologies. - Work with business stakeholders to understand operational challenges and identify opportunities where AI and automation can deliver measurable improvements. - Build AI-powered workflows, agents and internal tools that remove manual effort and improve productivity. - Integrate AI solutions with existing SaaS platforms using APIs and automation tooling. - Develop proof of concepts before scaling successful solutions into production. - Continuously evaluate new AI models, frameworks and tooling to improve solution quality and delivery speed. - Work across functions including operations, customer service, finance, sales and marketing to deliver practical AI applications. - Measure and iterate on solutions to ensure they generate tangible business outcomes. The Person We're looking for an engineer first and foremost-someone who enjoys solving problems through technology and shipping solutions that people actually use. You'll ideally have: - Commercial experience building AI applications using LLMs and modern AI frameworks. - Strong hands-on experience with OpenAI, Anthropic/Claude or similar foundation models. - Experience building AI workflows, agents, copilots or automation solutions. - Experience integrating APIs and SaaS platforms. - Strong software engineering skills in Python, JavaScript or another modern language. - Experience with automation platforms such as Make, Zapier, n8n or similar. - Strong understanding of prompt engineering, retrieval techniques and modern AI tooling. - A genuine product mindset with the ability to move quickly from idea to production. - Excellent communication skills with the ability to translate business problems into technical solutions. - Experience within e-commerce, retail or another fast-paced digital environment would be advantageous. Why Join? This is a rare opportunity to join an organisation where AI isn't an innovation project-it's becoming central to how the business operates. You'll benefit from: - The freedom to build, experiment and deploy solutions quickly. - Exposure to a wide variety of real-world AI challenges across multiple business functions. - The opportunity to work with modern AI tooling and influence how it's adopted throughout the organisation. - A collaborative environment where good ideas are implemented rather than delayed. - Hybrid, flexible working. - Up to £90,000 base plus bonus plus equity. If you're a Senior AI Engineer who enjoys identifying opportunities, building practical AI solutions and delivering measurable business impact, we'd love to hear from you. Senior AI Engineer Leeds

Senior Platform Engineer South West EnglandBristol, Cheltenham 6 days per month in office. SC Clearance eligibility required £75,000 - £90,000 + excellent benefits We are supporting one of the UK's largest Platform Engineering growth programmes, delivering secure, cloud-native platforms that underpin critical digital services used by millions every day. This is an exciting opportunity to join a highly skilled engineering community working across some of the UK's most complex and innovative cloud environments. You will support development teams to build, deploy and operate modern applications at enterprise scale. You will remain hands-on with technology whilst influencing engineering standards, enhancing developer experience and evolving platform capabilities. Key Responsibilities Build and operate secure AWS cloud environments and landing zones. Develop modern Kubernetes platforms using EKS and cloud-native tooling. Create reusable Infrastructure as Code using Terraform. Support Internal Developer Platforms and self-service engineering capabilities. Build and improve CI/CD pipelines and automation. Implement observability solutions using Prometheus, Grafana and OpenTelemetry. Support reliability engineering initiatives including SLOs, SLIs and incident response improvements. Collaborate with architects, security teams and software engineers to resolve complex technical challenges. Contribute to engineering standards, best practises and platform evolution. Technical Experience Required We are looking for candidates with experience across several of the following: AWS Kubernetes (EKS preferred) Terraform or Infrastructure as Code CI/CD tooling GitOps approaches such as ArgoCD or Flux Prometheus, Grafana or OpenTelemetry DevSecOps practises Platform Engineering concepts Site Reliability Engineering principles FinOps and cloud cost optimisation We would particularly like to hear from engineers with experience in: Enterprise-scale cloud environments Highly regulated industries Financial services, telecoms, retail, defence or public sector environments Cloud migration and modernisation programmes Supporting large engineering communities Why Join Us? Work on genuinely large-scale digital services impacting millions of users. Join an established engineering community with strong technical standards. Solve complex cloud engineering challenges using modern tooling and approaches. Gain exposure to some of the UK's largest cloud estates. Remain hands-on whilst progressing towards Lead and Principal Engineering roles.

Contract: 6 months, Hybrid, outside IR35, rate DOE, Surrey Project: Automotive ECU cybersecurity development involving embedded software security, secure boot, diagnostics, cryptographic integration and AUTOSAR-based security features on safety-critical vehicle platforms. Essential Skills: Embedded C / C++ AUTOSAR Classic (BSW, Crypto Stack, Key Management) Infineon AURIX or similar automotive MCU platforms ECU bootloader and secure update experience Automotive cybersecurity concepts (secure boot, cryptography, key handling) UDS diagnostics (ISO 14229) CAN communication ISO 26262 / ASPICE Static analysis, unit testing and debugging tools

This position focuses on security monitoring, incident investigation, threat analysis, and operational security improvement. The successful candidate will act as a subject matter expert for cyber security operations, supporting both proactive and reactive security activities while helping to enhance the organisation's overall security maturity. Client Details Our client is a well-established and respected professional services organisation with a strong national presence and a reputation for delivering high-quality solutions to a broad client base. With ongoing investment in technology and cybersecurity, they are committed to maintaining a secure and resilient environment that supports business growth, innovation, and operational excellence. Description Investigating and responding to security incidents escalated through the Security Operations function. Performing detailed security event analysis and identifying potential threats or areas requiring further investigation. Working closely with external security service providers to ensure effective monitoring, alert management, and incident handling. Supporting cyber incident response activities as a technical security specialist. Analysing security metrics and trends, providing recommendations to improve security controls and reduce risk. Delivering and managing security awareness initiatives, including phishing simulations and remediation activities. Maintaining and optimising security monitoring and protection platforms across the technology estate. Conducting security reviews of systems, infrastructure, and operational processes. Collaborating with technology and business teams to drive continuous security improvements. Ensuring security operations align with relevant regulatory, governance, and industry best practice requirements. Contributing to the development and implementation of operational security controls and procedures. Profile Previous experience working within a Security Operations Centre (SOC) or equivalent cyber security environment. Demonstrated experience in security operations, cyber defence, incident response, threat detection, or a related security discipline. Strong understanding of cyber attack techniques, threat actor methodologies, and appropriate mitigation strategies. Experience investigating security incidents and coordinating response activities. Knowledge of Security Information and Event Management (SIEM), Identity and Access Management (IAM), and Data Loss Prevention (DLP) technologies. Good understanding of modern security frameworks, detection engineering concepts, and operational security best practices. Experience securing cloud-based and enterprise collaboration environments. Familiarity with cyber threat intelligence and attack frameworks such as MITRE ATT&CK. Strong analytical and problem-solving skills with the ability to assess security risks effectively. A proactive approach to continuous learning and staying current with emerging threats and security trends. Desirable Degree in Cyber Security, Information Technology, Computer Science, or a related discipline. Relevant industry certifications such as CISSP, GIAC, CompTIA Security+, SC-200, AZ-500, or equivalent. Experience working within regulated or enterprise-scale environments. Job Offer Private healthcare. Life assurance. hybrid working 3 days in offices (Liverpool, Glasgow, London) Ongoing training and professional development opportunities.

Senior Engineer - Identity & Token Security Rate: 550 day Outside IR35 Start Date: ASAP End Date: 18/12/2026 Active SC Clearance Location: Remote/Hybrid (UK-based) Responsibilities Design and implement OAuth 2.0 Token Exchange (RFC 8693) capabilities. Develop secure identity delegation and propagation patterns across distributed services. Implement token down-scoping and audience restriction mechanisms aligned to least-privilege principles. Design secure service-to-service authentication frameworks within zero-trust environments. Build and maintain robust JWT validation and cryptographic trust chains. Integrate applications and services using OpenID Connect (OIDC) standards Essential: OAuth 2.0 & Identity Standards Proven hands-on implementation experience with OAuth 2.0 Token Exchange (RFC 8693). Strong understanding of OpenID Connect (OIDC) core specifications. Expert-level understanding of JWT (RFC 7519). Experience signing, validating and encrypting tokens using JWS and JWE. Strong knowledge of JWKS endpoints and automated key rotation strategies. Understanding of secure alternatives to shared-secret authentication mechanisms. Experience securing service-to-service communication within distributed microservice architectures. Understanding of zero-trust security principles. Knowledge of secure transit-layer protection and identity-based access controls. Identity Delegation & Token Management Experience implementing: Token down-scoping Audience restriction (aud) Actor and Subject claims handling Experience designing secure token lifecycle management strategies including: Token caching Token renewal Revocation patterns Familiar with: CDDO Secure by Design principles Experience with cloud-native security architectures. Knowledge of API gateways, service meshes, and federated identity platforms.

Engagement Type: Contract (Outside IR35) To support their expanding vehicle programs and next-generation product roadmap, our client is seeking a skilled Software Tools & Architecture Engineer on a contract basis. In this pivotal role, you will define, standardise, and enhance the client's end-to-end software development ecosystem. You will bridge the gap between embedded software platforms, model-based control environments, automated toolchains, and hardware verification platforms. You will be responsible for defining robust, scalable software architectures and introducing modern process automation, CI/CD pipelines, and toolchains aligned with ASPICE principles , Key Responsibilities Architectural Definition & Governance: Define, document, and maintain the end-to-end software architecture across embedded platforms, OS layers (RTOS/AUTOSAR), middleware, applications, and verification environments for electric drive systems. Ecosystem & Toolchain Automation: Design, configure, and maintain a unified automated development environment-including build systems, code generation, CI/CD pipelines, automated test execution, and HIL/SIL/MIL integration. Toolchain Integration: Specify and integrate core engineering tools across the lifecycle, seamlessly connecting MATLAB/Simulink, autocode generation (TargetLink/Embedded Coder), compilers, static analysis tools, calibration (XCP/INCA), diagnostics, and ALM/PLM systems. Process & ASPICE Alignment: Support the definition and rollout of software engineering processes, methods, and quality gates aligned with ASPICE levels and functional safety expectations. Shift-Left Quality & Verification: Implement automated defect detection, model-in-the-loop (MIL), software-in-the-loop (SIL), processor-in-the-loop (PIL), and hardware-in-the-loop (HIL) automated testing frameworks to catch defects early. Metrics & Analytics: Establish quality metrics, dashboards, and feedback loops to monitor build stability, code coverage, defect trends, process compliance, and delivery cycle times. Cross-Functional Collaboration: Act as the technical nexus between embedded software, controls, systems engineering, motor design, electronics, and validation teams to ensure tool compatibility and architectural consistency. Release Engineering: Ensure release readiness through end-to-end requirements traceability, version control discipline, automated release generation, and verification evidence gathering. Technical Skills & Qualifications Essential Experience Automotive Software Architecture: Proven track record defining scalable, maintainable, real-time embedded software architectures for automotive or electric powertrain/drive applications. Model-Based Development (MBD): Deep hands-on experience with MATLAB/Simulink, Stateflow, and automated code generation workflows. CI/CD & DevOps for Embedded Systems: Demonstrable experience building and maintaining automated software delivery pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) tailored for embedded C/C++ and MBD environments. Automotive Standards: Strong practical understanding of ASPICE process capability models and ISO 26262 functional safety requirements. Verification & Testing (X-in-the-Loop): Experience integrating MIL, SIL, PIL, and HIL (e.g., dSPACE, National Instruments, Vector) environments into continuous integration frameworks. Toolchain Mastery: Proficient with static/dynamic analysis tools (e.g., QAC, Coverity, Polyspace), version control (Git), issue tracking (Jira), and requirements tools (Doors/Jama). Randstad Technologies is acting as an Employment Business in relation to this vacancy.