Junior MLOps Engineer

1 day ago


City of Edinburgh, United Kingdom Aveni UK Full time

Edinburgh, United Kingdom | Posted on 01/07/2025Are you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)?We're looking for a motivated Junior MLOps Engineer with a DevOps background, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from youAbout AveniAveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We’re using the latest in AI to automate and innovate, empowering businesses to achieve exceptional productivity and compliance outcomes.What You’ll Be DoingAutomating Machine Learning workflows (training → deployment) with AWS & GitOpsDeploying LLMs using Kubernetes & DockerBuilding infrastructure with Terraform & HelmMonitoring and maintaining ML models with performance alerts and dashboardsSupporting CI/CD for ML pipelinesDeveloping production-grade APIs (REST/gRPC) to serve modelsCollaborating with engineers, data scientists & DevOps teamsRequirementsYour ExperienceIndustry experience in DevOps or MLOps roles (ideally in AWS environments)Hands-on with Docker, Kubernetes, and TerraformStrong scripting skills in Python or BashFamiliar with ML lifecycle tools, model monitoring, and versioningExposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plusBonus PointsExperience with observability frameworks like Prometheus or OpenTelemetryKnowledge of ML libraries: TensorFlow, PyTorch, HuggingFaceExposure to Azure or GCPPassion for financial servicesQualificationsDegree in Computer Science, Engineering, Data Science, or similarWhat We OfferA collaborative and innovative work environment with excellent career growth opportunities34 days holiday plus your birthday off (including bank holidays)Share options – we believe in shared successSkills development – continuous learning is at our core, and development will be front and center of everything you doRemote and flexible working – remote, co-working spaces, or a mix of bothLife insurance, income protection, and private healthcareFreebies and discounts at a range of retailersEmotional wellbeing support (employee assistance program providing 24/7 counselling and emotional support)Cycle to work schemePension scheme (employer contribution matched up to 5%)At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team shaping the future of financial services, we'd love to hear from you. We know some people might only apply if they meet 100% of the requirements, but we encourage you to apply regardless.Apply now to join us on our mission to transform the financial services industry through AI #J-18808-Ljbffr



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