9 of 9 Contract Machine Learning Jobs in the City of London

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

Machine Learning Engineer Hybrid Working - UK Wide - 2 Days a Week On Site Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in building and operating robust ML pipelines and serving systems for classic ML and deep learning models, including those that underpin GenAI features. This role is based UK Wide. This ...

Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap …/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications click apply for full job details ...

Ensure data governance, quality, and consistency across systems (APO decommissioning and Kinaxis implementation). Support scenario planning and predictive modelling leveraging Artificial Intelligence/Machine Learning solutions. Stakeholder Collaboration Partner with commercial, marketing, finance, and supply chain teams to align forecasts and planning assumptions. Facilitate workshops and training … transformation projects and cross-functional collaboration. Technical Skills: Advanced Excel, PowerPoint, Power BI, Kinaxis, SAP IBPN, and analytics platforms. Familiarity with Artificial Intelligence/Machine Learning forecasting tools and scenario planning. Soft Skills: Strong communication and stakeholder management skills. Innate leader who is able to problem solve ...

manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial databases, data pipelines, and automated ETL processes. Create high-quality maps, dashboards …/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial). Ability to communicate complex spatial insights clearly to diverse audiences. ...

Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed ...

Qualifications Degree in Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge of AI ethics, compliance, and data privacy. Excellent communication ...

regulated technology landscapes and security frameworks. Familiarity with DevSecOps and compliance-driven delivery in cloud-native contexts. Interest or experience in AI/ML application in digital financial services. ...

bias testing). The roles will sit within AI Risk & Oversight within the wider Model Validation team. Key Responsibilities Deliver assigned AI/ML model validations end-to-end, producing clear conclusions and evidence aligned to internal governance expectations. Assess and challenge model design, data, controls, implementation approach, and monitoring ...