Average Graduates salary in Liverpool

Launch Your Cloud Career with UsAre you ready to build scalable, secure, and high-performing cloud infrastructure? Interested in designing and deploying cloud-native applications? As a Graduate Cloud Engineer, you’ll be part of a collaborative tech team shaping the digital infrastructure of tomorrow.Whether you’re coming from a Computer Science, Engineering, or IT background — if you’re passionate about cloud technologies and want to learn how to build and manage modern infrastructure using platforms like AWS, Azure, or Google Cloud, we’d love to hear from you.What You’ll Be DoingAs a Graduate Cloud Engineer, you’ll work on real-world cloud solutions that support our business and customers. You’ll gain experience in:Cloud Infrastructure Setup: Assist in building and maintaining cloud infrastructure on platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP)Automation & Scripting: Use Infrastructure-as-Code (IaC) tools like Terraform or AWS CloudFormation to automate provisioning and deploymentsMonitoring & Performance: Help set up monitoring, alerting, and performance optimisation for cloud systems using tools like CloudWatch, Datadog, or PrometheusSecurity & Compliance: Support cloud security efforts, including identity and access management, encryption, and compliance monitoringCI/CD Pipelines: Work with DevOps teams to automate build, test, and deployment workflows using tools like GitHub Actions, Jenkins, or Azure DevOpsTroubleshooting & Support: Help resolve issues in cloud-hosted environments and support application teams with deployment and scalability needsLearning & Research: Stay up to date with the latest trends and best practices in cloud computing, DevOps, and infrastructure designWhat We’re Looking ForEssential:A recent graduate (or soon-to-be) in Computer Science, Information Technology, Software Engineering, or a related fieldBasic understanding of cloud concepts (IaaS, PaaS, SaaS) and interest in platforms such as AWS, Azure, or GCPFamiliarity with Linux/Unix systems and basic networking principlesSome experience in scripting (e.g., Python, Bash, PowerShell)Enthusiasm for automation, systems reliability, and cloud innovationWillingness to learn, take initiative, and work collaboratively with othersNice to Have (But Not Required):University or personal project experience with cloud tools or servicesExposure to Infrastructure-as-Code tools like Terraform or ARM templatesFamiliarity with containers (e.g., Docker, Kubernetes)Knowledge of CI/CD principles or version control systems like GitCompletion of a cloud-related course or certification (e.g. AWS Academy, Azure Fundamentals)What You’ll GainHands-On Cloud Experience: Work on real projects that impact our business and customersMentorship & Development: Learn from certified cloud professionals and senior engineersCertification Support: Study and sit industry-recognised certifications like AWS Certified Solutions Architect – Associate, Azure Fundamentals, or Google Cloud Associate EngineerCareer Progression: Clear pathways to roles like Cloud Engineer, Site Reliability Engineer (SRE), or DevOps SpecialistInclusive Team Environment: Work in a team that values diversity, learning, and collaborationExcellent Company Benefits25+ Days Annual Leave + bank holidaysFlexible / Hybrid Working OptionsAnnual Bonus SchemeFull Support for Cloud Certifications (e.g., AWS, Azure, GCP)Private Medical Insurance & Mental Health SupportTech Budget – choose your own setup and softwareMatched Pension ContributionsCycle-to-Work Scheme & Commuter BenefitsEmployee Discounts & Wellbeing PerksHackathons, Innovation Days, and Social Events

Start Your Career as a Machine Learning EngineerAre you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science?We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists.Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn, this is the perfect opportunity to kickstart your career.What You’ll Be DoingYou’ll play a key role in helping our team develop and deliver ML-powered solutions:Model Development: Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learnData Preparation: Work on collecting, cleaning, transforming, and analysing large datasets for training and testing modelsFeature Engineering: Support the design and selection of relevant input features to improve model performanceModel Evaluation: Learn to test models for accuracy, robustness, and fairness using best practicesDeployment: Help package and deploy ML models into production using tools like Docker, APIs, or cloud platformsCollaboration: Work closely with software engineers, data scientists, and product teams to integrate ML into real products and servicesExperimentation: Participate in testing new algorithms, researching techniques, and iterating on models to improve performanceWhat We’re Looking ForWe’re looking for graduates with strong technical foundations, problem-solving abilities, and a hunger to grow in the ML space.Essential:A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related disciplineProficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorchStrong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees)Good grasp of data structures, algorithms, and programming fundamentals.Analytical mindset and strong problem-solving skillsExcellent communication skills and a team-oriented attitudeNice to Have (But Not Required):Internship, university project, or research involving machine learning or data science.Experience with cloud platforms (AWS, GCP, or Azure)Knowledge of software engineering best practices, version control (Git), or CI/CD pipelinesUnderstanding of deep learning, NLP, or computer visionFamiliarity with deployment tools like Docker or MLflowWhat You’ll GainHands-on Experience: Work on real ML systems and contribute to production-grade solutionsMentorship & Training: Learn from senior ML engineers and participate in structured onboarding and learning pathsCareer Growth: Clear progression toward mid-level engineering or specialist roles in ML, NLP, or MLOpsInnovation Culture: Be part of a forward-thinking team that values creativity, experimentation, and collaborationExcellent Company Benefits25+ Days Annual Leave + bank holidaysFlexible / Hybrid Working OptionsAnnual Bonus SchemeSupport for Certifications and Training Courses (e.g., TensorFlow Developer, AWS ML Speciality)Private Medical & Mental Health SupportTech Budget – choose your own laptop, setup, and productivity toolsMatched Pension ContributionsCycle-to-Work Scheme & Commuter BenefitsHackathons, Innovation Days, and Regular Team EventsEmployee Discounts & Perks

Graduate AccountantLocation: Liverpool (Hybrid working)Salary: £25,000 + Excellent CIMA Study Support Are you a recent Accounting & Finance graduate looking to kick-start your career and work towards becoming a Chartered Management Accountant? This is a fantastic opportunity to join a leading business in Liverpool that truly invests in its people and offers exceptional development opportunities. In this role, you'll gain hands-on experience across management accounts, financial reporting, and analysis, working closely with experienced finance professionals who will support your learning and progression. You'll be part of a collaborative and forward-thinking team where your growth and career ambitions are genuinely valued. What's on offer: Competitive starting salary of £25,000Hybrid working (4 in the office per week)Full CIMA study support package - including funding, study leave, and mentorshipClear career progression with regular reviews and tailored development plansExposure to a wide range of accounting responsibilities and business operations What you'll be doing: Assisting with the preparation of monthly management accounts and reportsSupporting the budgeting and forecasting processPerforming variance analysis and providing insight into financial performanceHelping with balance sheet reconciliations and journal postingsSupporting wider finance projects and continuous improvement initiatives What we're looking for: A recent Accounting & Finance (or related) graduateStrong numerical and analytical skillsExcellent attention to detail and a proactive approach to learningConfident communicator with the ability to work as part of a teamA genuine desire to pursue CIMA qualification and build a long-term finance career This is the perfect first step for an ambitious graduate who's eager to build a solid foundation in management accounting within a supportive, professional environment.