1 to 25 of 30 Permanent MLOps Jobs in the Midlands

scaling data systems in cloud environments (Azure preferred; AWS/GCP also welcome) Strong Python and SQL skills with deep knowledge of modern data tooling and pipelines Experience with MLOps, CI/CD workflows, containerisation (e.g., Docker, Kubernetes) and production-grade APIs Understanding of data governance, privacy and regulatory compliance (e.g., GDPR) Nice to have: Familiarity with Infrastructure as Code More ❯

Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. You will work on topics … such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named "Wave". Your work will More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯

teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy for CI/CD, Infrastructure as Code … teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform as a Service (PaaS More ❯