12 of 12 Permanent MLOps Jobs in Birmingham

guiding teams in the effective use of these tools. Extensive expertise in designing, deploying, and maintaining production-grade AI/ML solutions, including pipelines, MLOps practices (e.g., CI/CD pipelines, model versioning, monitoring), and seamless integration with enterprise systems such as Workday. Extensive experience designing and implementing generative ...

efficient, and maintainable code for production grade AI solutions.Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker ...

maintainable code for production-grade AI solutions.Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such ...

Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ ...

generative AI and the modern AI stack, including large language models, prompt engineering, retrieval-augmented generation (RAG), vector databases, evaluation/monitoring and MLOps principles, with the ability to shape investment cases and operating models at scale.Extensive experience providing executive oversight for production AI delivery (you steer architecture and engineering ...

Science, Machine Learning, Operational Research, or Statistics. Academic, internship, or personal projects delivering data science outputs. Basic familiarity with CI/CD pipelines or MLOps concepts. Exposure to containerisation technologies (e.g., Docker). Some experience working with relational or NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with Workday data structures ...

Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. This is an opportunity to build foundational skills in MLOps, cloud deployment, and software engineering practices while contributing to real-world AI solutions that enhance our Workday product offerings. Essential Experience: Typically 2+ years … guidance. Some exposure to deploying or supporting AI/ML models — through academic projects, internships, or early career experience — with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such ...

workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide ...

reliably in production — not just in a demo. You will work closely with the Data Science team who supply clean, structured data, and with MLOps who handle deployment and infrastructure. You will also engage directly with business stakeholders to understand problems before proposing AI solutions. Security clearance or willingness … inputs, outputs, and limitations Interpersonal & Professional Skills• Translating AI capabilities into clear business outcomes for non-technical stakeholders • Cross-functional collaboration with data scientists, MLOps, and product teams • Ability to push back on AI for its own sake and advocate for the right solution • Championing best practices and supporting ...

Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join ...