101 to 108 of 108 Contract Machine Learning Jobs

derived data products that align with AIPX architecture and performance standards. Technical Leadership: Provide strategic direction across cloud engineering, data architecture, and AI/ML capabilities to ensure solutions are secure, well-governed, and scalable. Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps … evaluation of emerging technologies, lead proofs of concept (PoCs), and embed responsible AI principles across all financial solution designs. Required Knowledge & Experience AI/ML Mastery: Strong knowledge of AI techniques and tools, with demonstrated experience applying Gen AI/LLMs to specific financial or corporate use cases. Regulated Delivery ...

process mapping, stakeholder management, and benefits analysis. Proven ability to translate business challenges into technical AI requirements. Technical Skills Working understanding of AI/ML concepts (e.g., LLMs, supervised/unsupervised learning, vector databases, prompt engineering, model evaluation). Ability to interpret technical designs, data schemas, and integration patterns. … agile delivery methodologies. Comfortable coordinating across internal stakeholders, technology teams, and external partners. General Background 8-10 years' experience in business analysis, AI/ML project coordination, consulting, technology, or innovation roles. Experience in financial services, pensions, investment management, or regulated industries. Experience in regulated sectors (pensions, financial services). ...

Experience with monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take … ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise ...

Senior ML Platform Engineer - Robotics London, Hybrid Contract - Long Term Salary: Competitive Harnham are working with a growing robotics and AI company that is looking for a Senior ML Platform Engineer to join their team in London. This is a hands-on platform engineering role, focused on owning the software … tooling, web UI, and infrastructure layer used by data operators, ML engineers, and robotics engineers. You will be responsible for building and improving the internal applications and orchestration tooling that support robot data collection, dataset workflows, model training infrastructure, and on-robot deployment. The Role You will: * Own and extend ...

tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub) and API-based integration. Understanding of AI/ML data preparation pipelines and feature store design. What Success Looks Like in This Role Clear, scalable data models adopted across teams and projects. High trust … work across diverse data domains including asset management, customer operations, leakage, regulatory reporting, and sustainability. Benefits: Competitive salary dependant on skills and experience Learning and development opportunities, including mentoring and a range of formal courses and open learning resources. Entry into the company annual bonus scheme. Annual leave ...

impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing Designing, building and deploying AI/ML solutions end-to-end Working closely with users to translate real-world problems into technical solutions Developing models using production-grade Python Deploying AI solutions … Excellent Python engineering skills (production-level) Experience building and deploying AI solutions without reliance on cloud-managed services Solid understanding of modern AI/ML techniques Experience with GPU-based model training/inference Ability to work independently and own delivery end-to-end Strong problem-solving skills and stakeholder ...

Infrastructure Engineer, GPU, Distributed Systems & AI Platforms Strong systems-level engineering experience, ideally in infrastructure, HPC, platform engineering or AI/ML environments Hands-on experience operating large-scale compute or GPU-backed infrastructure Experience with distributed systems and multi-node environments Familiarity with NCCL and GPU-to-GPU communication … network level Nice to have Exposure to InfiniBand , bare-metal provisioning or HPC-style networking Experience supporting training or inference environments for large-scale ML models Background in AI infrastructure start-ups, hyperscalers or high-performance compute environments Experience with profiling/benchmarking tools and performance optimisation at scale Role ...

Data Science/ML Engineer (Contract) Glasgow (1 day per week) 600/day (Outside IR35) 3 Months We're hiring a hands-on ML Engineer to help a growing data-led marketing business unlock the value of its dataset across lead generation and tender platforms. The role: Building intelligent ...