11 of 11 Contract MLOps Jobs in the UK excluding London

preferred. 3-5+ years' professional experience in data science with a proven track record of delivering impactful solutions. Strong understanding of CRISP-DM, MLOps, Agile delivery and ITIL or similar frameworks. Expert-level proficiency in Python and SQL, with sound software engineering practices (modular design, testing, CI/ ...

integrations that embed AI into customer journeys, internal tools, and digital platforms* Own model lifecycle processes including deployment, monitoring, evaluation, and retraining* Implement robust MLOps practices to ensure reliability, performance, and scalability* Mentor engineers and contribute to shared tooling, reusable patterns, and engineering standards Required Experience* Strong software engineering background ...

Skills and Qualifications Experience working with cloud platforms such as Azure, AWS, or Google Cloud. Background in deploying machine learning models into production environments (MLOps experience is advantageous). Hands-on experience with big-data or distributed computing tools such as Spark and Databricks. Familiarity with visualisation tools such ...

Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. Experience with automation and orchestration tooling such as UiPath, Airflow or Kubeflow. Experience and Capability Strong experience delivering AI or automation solutions within enterprise ...

R. Experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge of automation technologies including RPA platforms (e.g. UiPath) and orchestration tools (Airflow, Kubeflow). Soft Skills: Excellent problem-solving and analytical capabilities. Strong ...

issues and implement effective resolutions. Optimize application performance using Azure monitoring tools (Azure Monitor, App Insights). Improve SQL query performance for applications and MLOps workflows. Perform proactive monitoring, troubleshooting, and enhancement of application functionality. Integration & Documentation Integrate third-party APIs/services ensuring seamless communication. Document technical decisions, architectural ...

cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities ...

bring on a DV Cleared Data Architect for a critical defence project. The role is based onsite in Cambridge. Skills: - Python - ML Engineering & MLOps - CI/CD knowledge - ETL - Active DV Clearance This position has a 1 stage interview process. DV Cleared Data Scientist - Cambridge - £600- £700pd Inside IR35 ...

Role Summary We are seeking a highly skilled MLOps Engineer to focus on the deployment, monitoring, and maintenance of machine learning models in production environments. This role is platform-focused and does not involve model development or end-user support. The successful candidate will ensure reliability, scalability, and performance ...

model reliability. Apply best practices in model evaluation, mitigating data leakage, and managing the bias/variance trade-off. Deploy and monitor models using MLOps approaches (Docker, CI/CD, cloud platforms like AWS/Azure/GCP). Collaborate closely with engineering and product teams to integrate ML solutions … model development, training, validation, and optimization. Proven experience deploying and maintaining production ML models. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. Demonstrated ability to work with complex real-world datasets and perform feature engineering. Familiarity with modern ML frameworks and libraries, including PyTorch, TensorFlow, HuggingFace ...

role in transforming and modernising the organisation’s machine learning platform. This role involves collaborating across the business to define and implement MLOps best practices, as well as designing, building, and maintaining the infrastructure required for developing and deploying machine learning models. This is initially a 6 month contract with … machine learning models into production systems, driving innovation and operational excellence within the client. Responsibilities: Contribute to the design and the development of robust MLOps, and Agentic Ops frameworks that will enhance our capabilities and drive value across the company. Take offline models data scientists build and turn them into ...