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Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title – Configuraiton Engineer Job Location – Brighton, UKOur Brighton business is moving to a new location in 2027. The new site is expected to be located in either Shoreham, Burgess Hill or Horsham and will be within a 15-minute drive of our current site.Job ID – 46920About this opportunity and L3Harris UKOperating at 11 sites in the United Kingdom, L3Harris supports Britain's mission to secure and strengthen the country by delivering sovereign innovation across the space, air, land, sea and cyber domains. L3Harris in Brighton are part of our Release Systems & Antennas division operating in the Aerospace domain. For over 70 years, L3Harris has designed and developed industry-leading carriage and release systems for fighter, rotary-wing and unmanned platforms and we design, manufacture and test a large portion of our release systems portfolio in our Brighton facility which offers 48,500 square feet of manufacturing space. Our mission-critical release systems equipment is on most major airborne fighter platforms worldwide, including the F-35, along with other aircraft like the Gripen and Typhoon.Please note, our Brighton business is moving to a new location in 2027. The new site is expected to be located in either Shoreham, Burgess Hill or Horsham and will be within a 15-minute drive of our current site.We are seeking a motivated Configuration Management Engineer to support the delivery of Configuration Management (CM) and Data Management (DM) activities across engineering programmes throughout the product lifecycle.This role is ideal for someone at the start of their engineering career who has strong organisational skills, attention to detail, and an interest in engineering processes and governance. You will work closely with engineering teams and experienced Configuration Management professionals, developing your knowledge of C&DM principles, processes and tools while helping to maintain the integrity of project data and technical baselines.You will receive training and support to build your understanding of the five key Configuration Management disciplines: Planning, Identification, Change Control, Status Accounting, and Verification & Audit.A few of our employee benefits are:Hybrid working where possible, three days onsite per week – upon successful completion of probationary period.Half day finish on a Friday25 days holiday per year (plus bank holidays), increasing with long service and with the opportunity to buy/sell up to 5 days Private medical insurance with optional family coverPension scheme of up to 8% employer contributionLife Assurance 4x salary (flexible up to 10x) Group income protectionFlexible opt-in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover, cycle to work scheme, travel insurance and electric car schemeEmployee Family Assistance Program providing mental health and wellbeing support Professional membership reimbursement (discretionary) What the role will involveThe responsibilities of your role will include the following:Assisting with the implementation of Configuration Management processes across engineering projects.Supporting the preparation, maintenance, and review of Configuration Management Plans and associated documentation.Maintaining configuration records, product structures, baselines, and project data within approved tools and repositories.Supporting engineering change processes by preparing documentation, tracking actions, and maintaining change records.Assisting with Configuration Status Accounting activities, including the collection, management, and reporting of configuration information.Supporting configuration verification and audit activities to ensure project documentation is complete, accurate, and compliant with applicable procedures.Working with engineering and programme teams to ensure technical data and deliverables are correctly identified, controlled, and released on time.Assisting with document control, issue management, and data distribution activities.Contributing to process improvement activities and supporting the adoption of Configuration Management best practice.Maintaining accurate records whilst working to agreed quality, schedule, and business requirements.What you’ll bring The role requires the following experience and skills:Degree, HNC/HND, apprenticeship, or equivalent qualification in Engineering, Business Systems, Project Controls, or a related discipline.Basic understanding of Configuration Management principles and their application within an engineering environment.Strong organisational and administrative skills with excellent attention to detail.Excellent written and verbal communication skills.A logical and methodical approach to problem solving.Ability to work effectively both independently and as part of a team.Proficiency in Microsoft Office applications, and other document control applications.Willingness to learn and develop knowledge of Configuration Management and engineering lifecycle processes.DesirableUnderstanding of document control, quality management systems, or engineering governance processes.Familiarity with engineering, product lifecycle management (PLM), or document management tools.Familiarity with programming or scripting languages, such as Python, and an interest in using automation to improve engineering and configuration management processes. Awareness of data analysis and reporting techniques using tools such as Python, Power BI, or Microsoft Excel.Understanding of version control concepts and tools (e.g. Git) would be advantageous.Important to knowDue to the nature of our work many our roles require a UK nationality and the ability to obtain a security clearance. Applicants who accept a conditional offer of employment must meet the requirement of right to work in the UK and must meet eligibility requirements for access to classified information and will be subject to government security checks.#LI-Hybrid

Department: OCU Digital Location: Preston Join a fast-growing organisation where you'll play a key role in shaping and supporting our cloud technology landscape. As a Cloud & Infrastructure Engineer, you'll be responsible for designing, maintaining and optimising our Microsoft Azure environment, ensuring services are secure, resilient, scalable and cost-effective. Acting as the third-line technical escalation point, you'll lead the resolution of complex infrastructure and cloud incidents, drive continuous improvement, and help maintain high levels of platform availability and performance. You'll work closely with Service Desk, DevOps, Security and Application teams to deliver reliable cloud services while supporting the organisation's wider digital transformation. This is an excellent opportunity for an experienced cloud professional who enjoys solving complex technical challenges, automating processes, and driving operational excellence across enterprise-scale environments. • Provide third-line support for Azure, Microsoft 365 and infrastructure services, including major incident management and root cause analysis., • Design, build and maintain secure Microsoft Azure solutions, including networking, compute, storage and Azure Virtual Desktop., • Manage cloud security, identity and access controls, compliance requirements, and platform resilience., • Own backup, recovery and disaster recovery services, ensuring systems meet business continuity requirements., • Develop and maintain monitoring, alerting and observability solutions using Azure Monitor, Log Analytics and New Relic., • Drive service improvements, automation and Infrastructure as Code initiatives using Terraform, Bicep, Azure DevOps and GitHub Actions., • Monitor service performance, availability and SLAs, ensuring high-quality operational delivery., • Collaborate with internal teams, vendors and managed service providers to deliver and support cloud services., • Produce technical documentation, knowledge articles and training materials to support wider teams., • 3-5+ years' experience in Cloud Engineering, Infrastructure Engineering or third-line support within an enterprise environment., • Strong hands-on experience with Microsoft Azure, including Entra ID, networking, compute and storage services., • Experience managing major incidents, problem management and root cause analysis., • Knowledge of cloud security, governance, compliance and identity management best practices., • Experience with backup and disaster recovery solutions, monitoring platforms and service management processes., • Strong communication skills with the ability to engage both technical and non-technical stakeholders., • PowerShell and Python automation., • Azure DevOps and GitHub Actions., • Azure Virtual Desktop and Microsoft 365 administration., • Knowledge of ISO 27001, ISO 22301 and ITIL practices., • Azure certifications (AZ-104, AZ-305) and/or ITIL Foundation., • Exposure to Google Cloud Platform (GCP). To ensure that everyone has a fair opportunity to join our team, please inform us if you require any reasonable adjustments to our recruitment and interview process is, by emailing . #J-18808-Ljbffr

infrastructure, CI/CD pipelines, and automation processes that enable our mobile engineering teams to ship faster and reliably. Your work will directly impact millions of users worldwide by ensuring high availability, rapid deployment, and top-tier performance. This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. • Design, implement, and maintain robust CI/CD pipelines tailored for mobile app development (iOS and Android)., • Automate build, test, and deployment workflows across multiple environments., • Manage cloud infrastructure to support mobile backend services and tooling., • Collaborate with mobile developers to ensure efficient release cycles and fast feedback loops., • Optimize the performance, reliability, and scalability of mobile-specific infrastructure and build systems., • Integrate At Air Apps, we believe in thinking bigger and moving faster. We re a family-founded company on a mission to create the world s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018 and now with offices in both Lisbon and San Francisco, we ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management and change lives along the way. As a DevOps Engineer Mobile , you will play a crucial role in streamlining the delivery, integration, and performance of our iOS and Android mobile apps. You'll help shape and maintain the, monitoring, logging, and alerting for mobile services and CI/CD systems. Enforce mobile app security best practices , including certificate management, secrets handling, and signing processes. Support infrastructure as code (IaC) practices using tools like Terraform . Continuously evaluate and implement emerging DevOps tools and practices to improve mobile development workflows. • Around 3+ years of experience in DevOps , with a strong emphasis on mobile app pipelines and automation., • Proficiency with mobile CI/CD tools (e.g., GitHub Actions, Bitrise, fastlane, CircleCI, or GitLab CI)., • Experience in building and distributing iOS and Android applications in scalable environments., • Familiarity with Apple Developer tools (Xcode, provisioning profiles, code signing) and Google Play Store pipelines., • Hands-on experience with cloud platforms such as GCP, Azure, or AWS., • Experience with Docker, Kubernetes , or similar containerization and orchestration systems., • Strong scripting skills in Bash, Python, or similar languages., • Understanding of mobile-specific security practices (e.g., certificate management, secure storage)., • Familiarity with monitoring and logging tools like Prometheus, Grafana, or Datadog., • Experience working in Agile or cross-functional teams with a product-driven mindset ., • Apple hardware ecosystem for work., • Annual Bonus, • Top-tier Health and Life Insurance for peace of mind., • Transportation Budget to support your commute needs., • Coverflex benefits package for meal allowances, well-being, and more., • Childcare support., • Air Conference - an opportunity to meet the team, collaborate, and grow together., • Pension Fund to support your long-term financial planning., • Urban Sports Club membership to keep you active., • Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. #J-18808-Ljbffr

Company Name Adecco UK Job Role Data Engineer – MS Fabric Integration Qualifications Not specified Category I Job Type Full Time Location Preston, Lancashire, United Kingdom • Microsoft Fabric, • SQL & Data Modelling, • Data Pipelines & Integration, • Power BI, • Python, • Modern Data Architecture (Lakehouse/Warehouse) Lancashire Hybrid | Competitive Salary + Benefits Are you a skilled Data Engineer looking to make a real impact? We're seeking a proactive and technically strong individual to help shape and develop a data platform using Microsoft Fabric. This role will provide dedicated data engineering capability with a primary focus on developing and optimising the use of Microsoft Fabric. The team has already begun establishing capability in Fabric alongside ongoing delivery. This role will build on that foundation that support both current delivery and future growth. You will play a key role in moving us from project-based builds towards a more structured, platform-led approach to data. You'll design and build scalable data pipelines, develop robust data models, improve data quality and governance, and help move the business away from manual spreadsheet-based processes. Working closely with BI, development, and business teams, you'll play a key role in delivering reliable, accessible data that drives better decision-making. This is an excellent opportunity to join a growing team and help build the foundations of a modern, scalable data platform. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website. Visa sponsorship: check with employer #J-18808-Ljbffr

The Trading Management Engineer/Analyst is responsible for: • Preparing and creating operational plans and protocols, • Analyzing day-ahead and day-after trading transactions, • Preparing market compliance submissions, • Recommending process improvement initiatives, • Providing data-driven analysis of market events, • Supporting revenue optimization and process improvements through technical, regulatory, and commercial expertise in the power industry, • Ancillary Services and Reserve Market, • Market Operations Compliance, • Energy and Ancillary Services Agreements Compliance, • Market Evaluation and Surveillance, • Commercial Operations of Conventional Technology, • Commercial Operations of Renewable and Emerging Technologies, • Prepare day-ahead inputs to NMMS, CRSS, and other MGP trading platforms., • Coordinate day-ahead and day-after operational concerns with internal and external stakeholders., • Analyze D+1 and D-1 market dynamics and update operational plans., • Prepare daily internal market summary reports., • Prepare day-ahead inputs to AS Web System and Reserve Market Platform., • Coordinate with internal and external stakeholders regarding reserve operations., • Prepare daily reserve market reports., • Monitor compliance with WESM rules., • Coordinate with stakeholders for compliance requirements., • Upload submissions to CPEMS., • Monitor compliance with Power Supply Agreements, RES contracts, and Ancillary Services Agreements., • Coordinate implementation of MGP contracts., • Create market bids, offers, customer nominations, and ancillary service nominations., • Recommend optimization plans for Energy Trading operations., • Analyze market events using technical and commercial tools., • Monitor competitor bids and offers in energy and reserve markets., • Conduct studies on commercial capabilities of coal, diesel, and other conventional generation technologies., • Conduct studies on solar, wind, battery, and other emerging technologies, focusing on real-time electricity trading opportunities., • Bachelor's degree in Engineering, Mathematics, Economics, or related fields, • Professional Engineering License or equivalent certification, • Either:, • At least 3 years as an Energy Trader or Trading Analyst with WESM Market Management System experience, or, • At least 5 years in the Electric Power Industry with knowledge of EPIRA, Philippine Grid and Distribution Code, WESM Rules, ERC regulations, and Renewable Energy Act, • Advanced spreadsheet and programming skills, • Experience with analytical tools such as:, • Plexos, • I-Pool, • PSSE, • R, • Python, • Matlab MGEN is always looking for enthusiastic individuals who seek to create a reliable, affordable, and sustainable energy future for the country. We look forward to Powering a Better Tomorrow with you! #J-18808-Ljbffr

2026-10-03T00:00:00 Leyland Lancashire GB PR25 3 Any 2027-01-01T23:03:02.773 Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long-term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: #s1-Gen Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. What You'll Do Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability. Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem. Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement. Who You Are You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision. You have extensive experience designing, building, and operating large-scale cloud-native data platforms. You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools. You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices. You know how to balance immediate business needs with long-term architectural sustainability. You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone. You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership. You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback. You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here #J-18808-Ljbffr

Security Engineer | £60,000 + Bonus + Benefits | Preston Are you a hands-on Security Engineer who enjoys building, hardening and improving security controls, rather than simply monitoring alerts and passing issues elsewhere? We're recruiting for a rapidly growing, international infrastructure organisation looking to strengthen its internal Cyber Security capability with an experienced Security Engineer. You’ll be joining a sizeable technology and security function supporting approximately 6,000 colleagues across 125+ locations spanning the UK, Australia and United States. This is a genuinely hands‑on engineering position where you’ll work across cloud, identity, endpoint, network and application security, helping engineer vulnerabilities and weaknesses out of the environment. Working closely with Security Operations, IAM, Cloud & Infrastructure, Service Operations and Application teams, you’ll help design, configure and continuously improve the technical controls protecting a large and complex digital estate. You’ll also work alongside a 24x7 managed SOC, with the internal Security Engineering team responsible for building, tuning and maintaining the controls that underpin the wider security operation. Your responsibilities will include: • Designing, configuring and hardening security controls across cloud, servers, endpoints, identity, networks and business applications., • Establishing secure configuration baselines using CIS Benchmarks and Microsoft security baselines., • Engineering identity controls across MFA, Conditional Access, privileged access and least privilege., • Building and maintaining controls across Microsoft Defender XDR, Sentinel, Intune, Entra ID and Purview., • Working with Cloud, Infrastructure and Application teams to embed security-by-design., • Improving logging, monitoring and alerting., • Supporting vulnerability remediation across a complex technology estate., • Implementing improvements identified through penetration testing, audits and security assessments., • Providing hands‑on engineering support during security incidents., • Contributing to incident simulations and tabletop exercises., • Developing automation and repeatable engineering processes using PowerShell, KQL and other scripting technologies. You’ll be working across a broad modern security ecosystem, with technologies including: A key part of the position will be tuning and improving these controls, increasing signal quality and reducing unnecessary operational noise for Security Operations and the external SOC. We’re looking for somebody with around 3+ years' experience in a hands‑on Security Engineering, Cyber Security Engineering, Infrastructure Security or Cloud Security position. You’ll ideally bring strong experience across: • Microsoft Sentinel, • Microsoft Purview, • Vulnerability management – Qualys, Tenable or similar, • Cloud, server and endpoint hardening, • CIS / Microsoft / NCSC security baselines, • IAM and Conditional Access, • Privileged Access / Least Privilege, • Incident response and remediation, • Security monitoring and logging, • Working alongside Infrastructure, Cloud and wider Engineering teams. You also need enough understanding of frameworks such as CAF, NIS2, ISO 27001, ISO 27701 and ISO 22301 to translate security requirements into practical technical controls. Additional experience in any of the following would be highly advantageous: AZ-500 / SC-200 / SC-300 / MS-102 / Security+ MITRE ATT&CK / Detection Engineering / Threat Hunting PowerShell / KQL / Python 24x7 SOC or MDR environments Critical National Infrastructure, Utilities, Energy, Telecoms or Water This is an opportunity to join a business undergoing significant growth and transformation where Cyber Security is receiving serious investment and visibility. Rather than sitting in a monitoring‑focused role, you’ll have the opportunity to engineer improvements yourself – hardening environments, closing vulnerabilities, improving identity controls, tuning security tooling and working alongside specialist teams to continually strengthen the organisation’s security posture. You’ll be joining an environment with international scale, modern Microsoft security technologies and plenty of complex technical challenges. #J-18808-Ljbffr

Location: Primarily Remote (Preston / Farnham - 1 day per month) Clearance: Active SC Clearance Required Engagement: Permanent Amber Labs is a cutting-edge technology consultancy delivering innovative digital transformation across the UK public sector. We bring together talented people, modern engineering practices and emerging technologies to solve complex challenges and deliver meaningful outcomes. We foster a collaborative, inclusive and people-first culture where technical excellence, continuous learning and innovation are at the heart of everything we do. Amber Labs is seeking an experienced Azure DevOps Engineer to support a programme focused on Artificial Intelligence (AI). This opportunity is ideal for a technically capable and dependable engineer with experience in Azure DevOps, cloud engineering and modern software delivery practices, ideally gained within an AI-focused programme or environment. You will contribute to the development, deployment and ongoing improvement of engineering environments and delivery pipelines, working collaboratively with technical teams to support reliable, secure and scalable solutions. We are looking for someone who combines strong technical capability with a resilient, reliable and personable approach, able to work effectively with stakeholders and colleagues across a collaborative delivery environment. • Design, build and maintain CI/CD pipelines using Azure DevOps., • Support the deployment, configuration and management of Azure-based environments., • Enable the reliable and repeatable delivery of applications, services and AI-related solutions., • Implement Infrastructure as Code (IaC) to support consistent and automated environment provisioning., • Apply DevSecOps principles, embedding security and best practices throughout the software delivery lifecycle., • Monitor, troubleshoot and resolve build, deployment and environment issues., • Collaborate with software engineers, data specialists, AI teams and other technical stakeholders., • Support the integration and deployment of AI and machine learning workloads where required., • Improve automation, deployment processes and operational reliability., • Maintain appropriate technical documentation and contribute to continuous improvement across engineering practices., • Proven experience working as an Azure DevOps Engineer or in a similar cloud engineering role., • Strong practical experience with Azure DevOps, including pipelines, repositories and automated build and release processes., • Experience with Microsoft Azure cloud services and cloud-based infrastructure., • Understanding of Infrastructure as Code and configuration management., • Experience with scripting and automation, such as PowerShell, Bash or Python., • Knowledge of source control, branching strategies and modern software delivery practices., • An understanding of security, governance and DevSecOps principles., • Experience working on an AI programme or supporting AI-related technology delivery., • Must hold active SC (Security Check) clearance., • A resilient, reliable and personable approach, with strong communication and collaboration skills., • Ability to work independently in a primarily remote environment while maintaining effective engagement with the wider team., • Experience supporting AI, machine learning or data science workloads within Azure., • Familiarity with Azure Machine Learning or other Azure AI services., • Experience with containerisation technologies such as Docker and Kubernetes., • Knowledge of monitoring, logging and observability tools., • Experience working within UK Government or other security-sensitive environments., • Familiarity with Agile delivery methodologies and cross-functional engineering teams. This is a primarily remote opportunity, with attendance required at either the Preston or Farnham location approximately one day per month. Candidates must hold active SC clearance and be comfortable working collaboratively within a remote-first delivery team. • Work on innovative technology programmes involving AI and modern cloud engineering., • Join a collaborative, people-focused consultancy that values technical excellence., • Contribute to meaningful digital transformation initiatives., • Work alongside talented professionals in a supportive and forward-thinking environment. You'll join a consultancy where ownership, curiosity and collaboration are central to how we work. Our teams work on programmes where quality, security and delivery really matter, alongside experienced specialists across data, cloud, digital and architecture. • Company pension, • 25 days annual leave plus UK bank holidays, • Opportunities to work on complex, high-impact transformation programmes, • A collaborative environment with genuine opportunities to develop your expertise #J-18808-Ljbffr

Department: OCU Digital Employment Type: Permanent - Full Time Location: Preston Reporting To: Daniel Riley Join a fast-growing organisation where you'll play a key role in shaping and supporting our cloud technology landscape. As a Cloud & Infrastructure Engineer, you'll be responsible for designing, maintaining and optimising our Microsoft Azure environment, ensuring services are secure, resilient, scalable and cost-effective. Acting as the third-line technical escalation point, you'll lead the resolution of complex infrastructure and cloud incidents, drive continuous improvement, and help maintain high levels of platform availability and performance. You'll work closely with Service Desk, DevOps, Security and Application teams to deliver reliable cloud services while supporting the organisation's wider digital transformation. This is an excellent opportunity for an experienced cloud professional who enjoys solving complex technical challenges, automating processes, and driving operational excellence across enterprise-scale environments. • Provide third-line support for Azure, Microsoft 365 and infrastructure services, including major incident management and root cause analysis., • Design, build and maintain secure Microsoft Azure solutions, including networking, compute, storage and Azure Virtual Desktop., • Manage cloud security, identity and access controls, compliance requirements, and platform resilience., • Own backup, recovery and disaster recovery services, ensuring systems meet business continuity requirements., • Develop and maintain monitoring, alerting and observability solutions using Azure Monitor, Log Analytics and New Relic., • Drive service improvements, automation and Infrastructure as Code initiatives using Terraform, Bicep, Azure DevOps and GitHub Actions., • Monitor service performance, availability and SLAs, ensuring high-quality operational delivery., • Collaborate with internal teams, vendors and managed service providers to deliver and support cloud services., • Produce technical documentation, knowledge articles and training materials to support wider teams., • 3-5+ years' experience in Cloud Engineering, Infrastructure Engineering or third-line support within an enterprise environment., • Strong hands-on experience with Microsoft Azure, including Entra ID, networking, compute and storage services., • Experience managing major incidents, problem management and root cause analysis., • Knowledge of cloud security, governance, compliance and identity management best practices., • Experience with backup and disaster recovery solutions, monitoring platforms and service management processes., • Strong communication skills with the ability to engage both technical and non-technical stakeholders., • PowerShell and Python automation., • Azure DevOps and GitHub Actions., • Azure Virtual Desktop and Microsoft 365 administration., • Knowledge of ISO 27001, ISO 22301 and ITIL practices., • Azure certifications (AZ-104, AZ-305) and/or ITIL Foundation., • Exposure to Google Cloud Platform (GCP). #J-18808-Ljbffr

Senior Data Engineer - Microsoft Fabric £70,000-£80,000 | Lancashire | One day per week in the office You've built with Microsoft Fabric. Now you want the room to make decisions, solve problems and take ownership of how a platform develops. This role gives you that scope. Fabric is already in place, with foundations to build on and plenty to improve. You'll help move the business towards a more consistent, scalable approach to data engineering, creating pipelines and models that support reporting, analytics and day-to-day operations. Working alongside BI, analytics and software development colleagues, you'll combine hands-on engineering with helping others get more from the platform. • Building and improving Fabric pipelines and notebooks., • Creating reusable data models and reliable ingestion processes across APIs and databases., • Using SQL and Python to automate processing and reduce manual work., • Structuring and optimising data for Power BI., • Improving data quality and establishing engineering practices colleagues can build on. You'll have a say in how things are designed and the responsibility to see them through. It's a good fit if you enjoy understanding the business problem as much as building the technical solution. • Practical Microsoft Fabric experience is essential, including building pipelines and working with data storage and transformation., • You'll also bring strong SQL, Python and data modelling skills, an understanding of lakehouse and warehouse approaches, and experience preparing data for Power BI., • You should be comfortable taking ownership, explaining your decisions and sharing your knowledge with colleagues. Previous sector experience isn't essential., • £70,000-£80,000, • one office day per week in Lancashire, • flexible working hours and a 36.25-hour working week, • alongside healthcare benefits #J-18808-Ljbffr

Location: Budapest, Hungary Ways of working: Hybrid Contract: Permanent, full-time Hawk-Eye Innovations is at the forefront of sports technology, delivering officiating, tracking, broadcast and performance solutions across some of the world’s biggest sports. As part of Sony Sports, we continue to push the boundaries of innovation, helping athletes, coaches, teams, broadcasters and governing bodies make better decisions through technology. What if athletes, coaches and teams could access the kind of tracking technology that has traditionally been out of reach? We’re building a new generation of tracking services for elite and semi-professional sport, putting powerful computer vision technology directly into the hands of the people who need it most. We’re looking for a Senior Android Computer Vision Engineer to help make that possible. You’ll join a small, cross-functional engineering team building products at the cutting edge of sport and technology. With the direction set and plenty still to be built, you’ll have the autonomy to shape solutions, make important technical decisions and see your work make a real difference. You’ll own computer vision on the device, taking detection and tracking models and making them work reliably on consumer Android phones and tablets. That means much more than getting a model to run. You’ll optimise and profile inference for real-world hardware, balancing performance with accuracy across different devices, lighting conditions and environments. You’ll work close to the camera capture pipeline, where frame timing, exposure and device behaviour can all affect the quality of the output. Your challenge is to ensure that the data produced on a mobile device is accurate, reliable and trusted by the wider tracking system. You’ll work closely with mobile, backend, computer vision and machine learning engineers, with the freedom to own both your technical approach and its implementation. We also embrace AI-augmented and AI-delegated development as part of how we work, enabling a small team to build and iterate at pace. This is an opportunity to solve genuinely challenging engineering problems, influence how on-device vision is built and help establish the foundations for a technology that can change how sport is experienced and analysed. Own on-device inference: Design and implement Android inference solutions that meet demanding accuracy, latency and performance requirements. Build the native Android vision layer: Develop and maintain C++ components using the Android NDK, alongside JNI bindings that connect them to our Kotlin application. Optimise models for mobile: Convert, quantise, profile and optimise detection and tracking models, exploring techniques such as pruning, graph optimisation and operator-level improvements. Solve real-world camera challenges: Work close to the capture pipeline, understanding how frame timing, exposure and camera behaviour influence model performance. Make accuracy measurable: Build validation tools and measurement processes that demonstrate performance against ground truth in real-world conditions. Engineer for real devices: Account for thermal constraints, battery consumption, hardware differences and the unpredictable conditions encountered in the field. Collaborate on model improvements: Work with our computer vision and machine learning specialists to identify, prototype and evaluate improvements to model performance. Shape technical decisions: Help determine what should run on-device and what should run elsewhere, bringing clear reasoning and an understanding of technical trade-offs. Build production-quality software: Write maintainable, testable and reliable code that meets the team’s engineering standards. Work across disciplines: Communicate clearly with mobile application, backend and machine learning engineers who depend on your work. Build with AI: Use AI-assisted and delegated development tools as a standard part of your workflow, working within our security and intellectual property guidelines. As the team grows, there may also be opportunities to mentor other engineers, take technical leadership of on-device vision and establish the standards and practices that shape our approach to edge AI. You’re an experienced computer vision or machine learning engineer who enjoys taking algorithms beyond the lab and making them work reliably in production. You’re comfortable working close to the hardware, investigating problems that don’t show up in controlled environments and making informed trade-offs between accuracy, performance and resource consumption. You can work independently, communicate your thinking clearly and collaborate with engineers across different disciplines. You’ll ideally bring: At least 4 years of applied computer vision or machine learning engineering experience , including solutions deployed into production. Demonstrable experience running inference on Android or embedded devices, rather than working exclusively with desktop or server hardware. A degree in computer science, engineering, mathematics or a related discipline, or equivalent practical experience. A strong interest in learning new technologies, tools and platforms. Experience in automotive, embedded systems or other resource-constrained environments could be particularly relevant. You’ll have expert-level knowledge of: Applied computer vision, including object detection, tracking, camera geometry and the challenges that arise outside controlled environments. Mobile or embedded inference runtimes, including model conversion and quantisation toolchains. Model optimisation and performance profiling for resource-constrained hardware. C++, particularly the Android NDK and JNI. Measuring and validating model accuracy against ground truth. You’ll also be comfortable with: Kotlin, with enough experience to work effectively across the JNI boundary. Python for prototyping, tooling and data analysis. Mobile camera capture pipelines, including frame timing and exposure control. Machine learning fundamentals, allowing you to contribute meaningfully to discussions about model improvements. Git, code reviews and continuous integration practices. It would be beneficial to understand: Real-time and latency-sensitive systems. Spatial computing and multi-view reconstruction. The Android application development and release lifecycle. You don’t need to have worked with every technology listed. We’re interested in the depth of your engineering experience, your ability to solve difficult problems and your willingness to learn. Our stack includes C++, Android NDK, JNI, Kotlin, Python and AWS, supported by Git, GitHub Actions, Jira and Android mobile inference and profiling tools. At Hawk-Eye, you’ll have the opportunity to work on technology used across the world’s leading sports while solving complex technical challenges alongside talented engineers and product teams. You’ll play a key role in shaping products from the ground up, working in an environment that values innovation, collaboration and continuous learning. If you’re excited by the opportunity to build cutting-edge mobile products that make a genuine impact in sport, we’d love to hear from you. Hungary Benefits Annual Leave: Standard according to local labour law Flexible Working: Hybrid model (2 days in our office per week) Access to sporting events and tickets Sony Group Company Discounts Other Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), Private Medical Insurance, Life & Accident Insurance, MindentMent Dental Clinic discounts, Seniority Awards, Employee Assistance Program #J-18808-Ljbffr