are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained More ❯
governance frameworks, emphasizing risk mitigation, Responsible AI compliance, and adherence to organizational standards. Strong verbal/written communication & data presentation skills. Proven experience in MLOps and AI lifecycle management, with a focus on scalable deployments on platforms such as AWS, GCP, and Azure. Extensive hands-on experience with cloud-based More ❯
Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role … and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and More ❯
scale or need to change to accommodate business needs. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science, and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with the right decisions. More ❯
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 … and drift. Automate infrastructure provisioning and deployment using IaC tools. Collaborate with team leader to define technical strategies. Requirements: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and More ❯
Hands-on Technical Leadership Serve as a player-coach-writing code, prototyping models, conducting experiments, and reviewing designs. Establish best practices for data science, MLOps, and model deployment at scale. Guide the selection of AI technologies, platforms, and tooling. Team Building & Mentorship Mentor team members and the broader business, fostering … following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in building and deploying AI systems in production environments. Strong understanding of data governance, bias, fairness, and regulatory considerations in AI. More ❯
