16 of 16 MLOps Jobs in Edinburgh

pipelines. Familiarity with data lake architectures and tools like Delta Lake , LakeFS , or Databricks . Knowledge of security and compliance best practices (e.g., SOC2, ISO 27001). Exposure to MLOps platforms or frameworks (e.g., MLflow, Kubeflow, Vertex AI). What We Offer Competitive salary + equity Flexible work environment and remote-friendly culture Opportunities to work on cutting-edge AI More ❯

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 ❯

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

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 knowledge of common big data platforms and best practices Experience of working in an Agile environment About The Company Motability Operations is a unique organisation, virtually one of a More ❯

outcomes. Champion automation-first engineering practices across ingestion, transformation, and deployment. Design and deploy generative and predictive AI solutions using Azure and open-source frameworks. Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring. Establish and maintain reusable enterprise data models and semantic layers for self-service analytics. Mentor and develop a high-performing engineering team. … Strong programming skills in Python, SQL, YAML. Experience with CI/CD and infrastructure-as-code (e.g., Terraform/Bicep). Proven leadership in embedding modern engineering practices (DataOps, MLOps) within teams. Comfortable working in Agile development and structured deployment environments. Desirable experience with Azure OpenAI, LangChain, and graph/vector databases. What’s on offer: Opportunity to lead the More ❯

Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 and AWS APIs) Familiarity with data replication tools (e.g., AWS DMS) Understanding of MLOps and modern data science platforms is a plus Experience working in Agile environments What we offer: Up to £90,000+ discretionary annual bonus 28 days holiday (with options to buy More ❯

into technical solutions using a tailored mix of ML and GenAI techniques Identify and pursue opportunities to deliver added value and innovation across client engagements Collaborate with engineers and MLOps professionals to develop scalable, robust, and production-ready solutions Build and nurture strong client relationships through clear communication and outstanding delivery Lead discovery sessions and workshops to understand client pain More ❯

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 ❯

Description You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from 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 ❯

Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge More ❯

Be Doing ✅ Design and deliver scalable data architecture , pipelines, and semantic models ✅ Build and deploy production-grade AI solutions (predictive & generative) ✅ Champion automation-first engineering and modern DataOps/MLOps practices ✅ Lead the development of AI & data products tied to measurable business outcomes ✅ Manage, mentor, and grow a high-performing data engineering team ✅ Work cross-functionally with architects, analysts, data More ❯

Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 and AWS APIs) Familiarity with data replication tools (e.g., AWS DMS) Understanding of MLOps and modern data science platforms is a plus Experience working in Agile environments 🌟 What we offer: Up to £90,000 + discretionary annual bonus 28 days holiday (with options to More ❯

with AI researchers and scientists to transform novel research into production systems. You have experience or are interested in learning about the use of AWS Bedrock, SageMaker, and custom MLOps tools You deliver quickly and incrementally. You may not have the perfect solution out of the gate, but you iterate based on what you’ve learned. You are hands on More ❯

AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with More ❯

with AI researchers and scientists to transform novel research into production systems. You have experience or are interested in learning about the use of AWS Bedrock, SageMaker, and custom MLOps tools * You deliver quickly and incrementally. You may not have the perfect solution out of the gate, but you iterate based on what you’ve learned. * You are hands on More ❯