60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to support business objectives. Your role will More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
In Technology Group
experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning algorithms and statistical methods Experience working with cloud platforms (AWS, GCP, or Azure) Familiarity with MLOps tools and practices is a plus A degree in Computer Science, Engineering, Mathematics, or a related field What We Offer Salary: £50,000–£60,000 depending on experience Hybrid working More ❯
or Azure SQL Database is beneficial. Experience in designing and maintaining robust CI/CD pipelines, applying Infrastructure as Code (IaC) principles with exposure to Terraform, and incorporating Azure MLOps practices for seamless deployment, versioning, and traceability of AI models and data Knowledge of DevSecOps principles and data governance best practices to secure AI infrastructure and ensure compliance. The ability More ❯
Edinburgh, United Kingdom Posted on 01/07/2025 Are 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 you! About Aveni Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural … CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Requirements Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to More ❯
PyTorch, and scikit-learn. Strong experience with AWS services and cloud-native development. A proactive, collaborative mindset with a passion for learning and innovation. Bonus Points For Familiarity with MLOps principles. Background in distributed computing or large-scale data processing. This role offers a unique chance to work closely with a small, talented team where your contributions will be visible More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Motability Operations
Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Good understanding of MLOPS Good/In depth experience of Oracle stack - database, oracle analytics, ODI, Golden gate Good knowledge of common big data platforms and best practices Experience of working in an Agile More ❯
Employment Type: Permanent, Part Time, Work From Home
changes. We welcome open-minded developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today's tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams More ❯
Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯