7 of 7 Contract Machine Learning Jobs in Central London

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...

through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work … infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support ...

machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic). Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures. Monitor the UK/… Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven expertise in retraining, monitoring, and debugging live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud ...

maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile environment ...

stakeholders and translating complex tech into real-world impact What we're looking for: Strong experience across software engineering, data platforms, and AI/ML Proven leadership in DevOps, cloud, and modern engineering practices Experience delivering in innovative or regulated environments Ability to operate in ambiguity and influence at senior ...

validate solution feasibility Develop technical proposals, RFP responses, statements of work and Bills of Materials Build and maintain reference architectures covering AI/ML, HPC and rendering workloads Required Experience: Strong background in HPC/AI software stack design and delivery Experience across GPU computing, workload optimisation and distributed ...