12 of 12 MLOps Jobs in Scotland

/infrastructure, with at least 5 years leading large teams. Deep expertise in distributed systems, model training infrastructure, and inference platforms. Strong experience with cloud platforms (AWS, GCP, Azure), MLOps/DevOps, and security. Excellent leadership, communication, and stakeholder management skills. Preferred Advanced technical degree (MS/PhD). Strong knowledge of data systems (SQL/NoSQL, Spark, Kafka, Flink More ❯

methods? Any experience of popular known deployment methods on k8s cluster? Gitops/Git/Jenkins Any experience using gitops pipeline? Nice to have Understanding of LLM Evaluation Frameworks MLOps platforms or LLMOps background Understanding of AI Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates More ❯

a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO More ❯

a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO More ❯

a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO More ❯

model strategy, adaptation, and LLMOps. AI safety, governance, and compliance-especially on Azure. Machine Learning at Scale Applied ML: time-series forecasting, tabular ensembles, NLP, recommendation/propensity models. MLOps: automated pipelines, registries, scoring, monitoring, and safe rollbacks. Responsible ML: bias/fairness testing, explainability, PII controls, human-in-the-loop, EU AI Act readiness. Experimentation: rigorous testing, telemetry, and More ❯

diverse modeling techniques, including tree based models, advanced neural networks and hybrid models. ** Skilled in optimisng ML for real time serving think quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able More ❯

diverse modeling techniques, including tree based models, advanced neural networks and hybrid models. ** Skilled in optimisng ML for real time serving think quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able More ❯

diverse modeling techniques, including tree based models, advanced neural networks and hybrid models. ** Skilled in optimisng ML for real time serving think quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able More ❯

diverse modeling techniques, including tree based models, advanced neural networks and hybrid models. ** Skilled in optimisng ML for real time serving think quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able More ❯

diverse modeling techniques, including tree based models, advanced neural networks and hybrid models. ** Skilled in optimisng ML for real time serving think quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able More ❯

Overview 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 ❯