6 of 6 Remote Machine Learning Jobs in Edinburgh

What You'll Be Doing Automating Machine Learning workflows (training deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams … 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 tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry … Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days holiday plus your birthday off (including bank holidays) Share options - we believe in shared success Skills development - continuous More ❯

Embedded Machine Vision Engineer - Remote Salary: £70,000 - £80,000 Location: Fully Remote (UK-based) KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies, hazards … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

developer on a project and as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT … development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be to join the data portion More ❯

developer on a project and as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT … development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be to join the data portion More ❯

Experience with semantic search, retrieval pipelines, or document-based AI systems is a bonus Nice to Have: Exposure to legal tech, compliance tools, or privacy-centric workflows Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)-helpful but not required Interest in prompt engineering, user intent modeling, or AI agent design What We Offer: A high-trust, high-impact environment with More ❯