13 of 13 MLflow Jobs in Scotland

distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large … scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large … scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large … scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising, and deploying using Docker and Kubernetes. Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using Git/ More ❯

Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures More ❯

in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow, SageMaker Pipelines, or equivalent frameworks. Extensive experience building and operating containerised applications using Docker and Kubernetes, including production-grade orchestration and monitoring. Deep experience with CI/CD best practices More ❯

We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing More ❯

of delivering models into production environments · Degree in a relevant technical field or equivalent hands-on experience · Excellent written and verbal communication skills · Bonus if you’ve worked with MLflow, GitHub, PyTest, Jira, or HPC systems · Bonus if you have experience under a QMS or with safety-critical software What’s in it for You? · £85,000 depending on experience More ❯

workflows. Cloud AI (AWS/Azure): Experience deploying AI solutions on cloud platforms. Python: Proficient in writing clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, Hugging Face, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). Additional More ❯

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 servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting More ❯

science, bioinformatics, engineering, or related field Proven experience leading AI/ML projects in healthcare, life sciences, or diagnostics Strong background in Python and common machine learning toolchains (e.g. MLflow, PyTest, GitHub) Excellent communication skills for cross-functional collaboration and regulatory documentation Based in the UK with the ability to work in a hybrid model; experience with QMS or regulated More ❯

of delivering models into production environments · Degree in a relevant technical field or equivalent hands-on experience · Excellent written and verbal communication skills · Bonus if you’ve worked with MLflow, GitHub, PyTest, Jira, or HPC systems · Bonus if you have experience under a QMS or with safety-critical software What’s in it for You? · £85,000 depending on experience More ❯

of delivering models into production environments · Degree in a relevant technical field or equivalent hands-on experience · Excellent written and verbal communication skills · Bonus if you’ve worked with MLflow, GitHub, PyTest, Jira, or HPC systems · Bonus if you have experience under a QMS or with safety-critical software What’s in it for You? · £85,000 depending on experience More ❯