a capability supporting developments across the full product life cycle. The team integrates real products, models and synthetic environments to provide visualisations, demonstrations, verification & validation as well as training capability and support. What we're looking for from you: A Lead Software Engineer who is adaptable and creative in their More ❯
south west london, south east england, united kingdom
Defence
a capability supporting developments across the full product life cycle. The team integrates real products, models and synthetic environments to provide visualisations, demonstrations, verification & validation as well as training capability and support. What we're looking for from you: A Lead Software Engineer who is adaptable and creative in their More ❯
of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Co-hire your future colleagues. Work closely with the founding team and contribute towards More ❯
of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Co-hire your future colleagues. Work closely with the founding team and contribute towards More ❯
of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire More ❯
clients. Develop detailed documentation, including functional specifications, process flows, and business requirements specific to Workday Financials. Conduct and oversee system testing, scenario testing, and validation of Workday Financial configurations. Manage system setup, analyze financial business processes, and align them with Workday Financial functionalities. Coordinate cross-functional tasks and create/ More ❯
of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire More ❯
of training data. Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire More ❯
scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across More ❯
define data models, schema configurations, and network rules within Esri UNM. Document business and functional requirements, process flows, and system interactions. Assist in testing, validation, and troubleshooting of GIS applications, ensuring alignment with business needs. Provide training and support to end-users on Esri's UNM capabilities and best practices. More ❯
Preferred Qualifications Experience or interest in mentoring junior engineers. Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow). Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, or data.table/R. Experience working with AWS or other cloud platforms. Knowledge of building and More ❯
teams to integrate models into 360T's trading suite Continually monitor and refine existing models to adapt to changing market conditions Ensure robust model validation, back-testing and documentation of methodologies Participate in original research topics using 360T's unique datasets Prepare periodic updates & actionable insights for distribution to senior More ❯
solutions, such as data, development environments and tools. Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and validation teams. Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provide ongoing support for the continued effectiveness More ❯
attribution, causal AI, graph AI, campaign optimization, spend optimization). Exposure to MLOps tools like MLflow, FastAPI, Airflow, or similar. Experience with experimentation and validation frameworks (e.g., A/B testing). Startup or freelance experience that required pace, clarity, and autonomy. Why This Role is Different Unlike many mid More ❯
of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting Location Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it More ❯
and code reviews. You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn. Experience with data labelling, validation, provenance and versioning. About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most More ❯
candidate will work closely with multi-disciplinary teams within the Design Office to deliver comprehensive and coherent mechanical design solutions. This role involves design, validation, project management, and support activities, ensuring the highest standards of mechanical systems engineering. Key Responsibilities Mechanical Design Engineering: Develop mechanical system schemes for aircraft modifications. More ❯
incident response in government systems. Strong understanding of cloud security posture management (CSPM) and SIEM tools (Splunk, ELK, Microsoft Sentinel) . Experience with security validation techniques for microservices and containerized applications (Kubernetes, Docker security hardening) . Certifications & Security Clearance ISTQB Foundation Level Certification (or equivalent) - Demonstrating fundamental software testing principles. More ❯
as decision trees, clustering, and regression analysis to complement advanced AI workflows Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and deployment. Optimize cloud infrastructure for cost-efficient training and serving of GenAI and LLM models. Define and enforce best practices for model versioning, reproducibility More ❯
with project and design teams on procedural compliance. Minimum qualifications and skills include: Advanced understanding of content management systems, Autodesk desktop and cloud products, validation tools, visualization tools, and databases. Personal effectiveness: planning, organizing, collaboration, problem-solving, adaptability, results delivery. Deep knowledge of ISO 19650, BS1192, CDE, IFC, COBie, classifications. More ❯
Qualifications Strong analytical and problem-solving skills , with a keen eye for detail. Ability to work with large datasets and perform data mapping and validation . Hands-on experience with SQL, Power BI, APIs, or scripting languages . Familiarity with technical troubleshooting, system configurations, and implementations . Exceptional written and More ❯
proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop More ❯
proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop More ❯
environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science techniques across Fresha's product More ❯
in tools like dbt Collaborate with analysts and product teams to deliver reliable datasets for reporting and analysis Monitor and improve data quality using validation frameworks. Proactively identify data issues and offer practical solutions Document workflows, models, and data standards to ensure alignment across teams Experience Experience in a similar More ❯
