9 of 9 Contract Machine Learning Jobs in the North of England

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on experience with … SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

engineering, and analytics, translating strategic goals into clear product outcomes and actionable backlogs. You'll own the roadmap for data products that enable analytics, machine learning, and data-driven decision-making at scale. Key Responsibilities Own and manage the product vision, roadmap, and backlog for data platform capabilities … Ensure data products are scalable, secure, cost-efficient, and aligned with best practices Drive adoption and value realisation of Databricks (e.g. data engineering, analytics, ML use cases) Collaborate with engineering teams to plan sprints, manage dependencies, and remove blockers Balance short-term delivery with long-term platform strategy Monitor platform ...

data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication, and documentation skills. Familiarity with AI/ML data pipelines and analytics platforms. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop ...

Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data pipelines or analytics platforms Experience using UML/SysML Security Requirements Due to the nature of the work: Candidates must hold active SC clearance ...

analytics, and data strategy Create a roadmap for moving from traditional BI to a modern, AI-augmented data ecosystem. Identify opportunities where AI, ML, and automation can drive measurable value. Act as a trusted advisor to senior leaders and departments regarding data, BI, and AI. Translate complex data … business language and use cases. Facilitate workshops, run discovery sessions, and guide teams on AI best practices. Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows. Develop robust data models, pipelines, and integrations to ensure scalable AI adoption. Establish data ...

warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

IR35) Role Overview We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker to support the delivery, deployment, and operationalisation of machine learning models click apply for full job details ...

objectives: Lead the design and development of a Digital Asset Management Platform (DAMP) for housing retrofit and upgrade projects; Develop and deploy advanced machine learning models for property data analysis; Establish robust and reproducible data pipelines and ensure data quality across multiple sources; Collaborate with stakeholders to define ...

Spatial AI & ML Data Scientist (ArcGIS, Python) 10 Months (part-time) Remote £400 to £500 a day (Outside IR35) Currently looking for a Data Scientist to Design, build, and validate AI/ML models for geospatial products: Essential Skills 5+ years in AI/ML model development and predictive analytics ...