Latest ai analyst Jobs

Lead Machine Learning Engineer

This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Lead PHP Developer

This role involves maintaining and evolving a live SaaS eCommerce platform by translating business problems into reliable software solutions. The developer will balance day-to-day technical support with long-term architectural planning, using AI tools as the primary means of development while ensuring correctness and business alignment. The position emphasizes technical ownership, strategic thinking, and collaboration within a small, stable team.

Stratospherec Limited Reigate, Surrey, RH2 0AA, United Kingdom £50,000 – £60,000 pa

Senior Software Engineer II

This role involves leading the design and implementation of complex, cloud-native banking systems, driving technical direction across engineering teams, and mentoring senior engineers. The engineer will solve highly ambiguous problems, improve operational processes across production environments, and help shape company-wide standards in security, scalability, and developer velocity using modern technologies including AI tools. Collaboration with leadership and cross-functional stakeholders is key to delivering long-term platform vision.

Thought Machine Lisbon, Portugal

On-site Permanent

Product Engineer (Senior Forward Deployed)

This role involves embedding directly with retail, brand, and agency partners to identify real customer problems and rapidly build production-ready software using real data and workflows. You'll develop core platform components such as APIs, microservices, and data pipelines across hybrid environments, ensuring end-to-end ownership from deployment to monitoring. The position emphasizes fast prototyping, field-driven product iteration, and translating real-world insights into scalable product solutions using AI-assisted tooling and cloud technologies.

dunnhumby London, United Kingdom

Lead Engineer - Workplace Technology & Automation

Lead technical initiatives to enhance workplace technology and automation across dunnhumby, focusing on Microsoft 365, AI-driven workflows, and integration with platforms like ServiceNow. Design automation solutions using PowerShell, APIs, and infrastructure-as-code while promoting Copilot adoption and scalable operational improvements. Act as an internal consultant to guide teams in agile delivery and practical implementation of enterprise-grade tools.

dunnhumby London, United Kingdom

Hybrid Permanent

Assistant Professor in Robotics and Artificial Intelligence (Research and Education)

This role involves conducting innovative research and teaching in robotics and artificial intelligence within a mechanical engineering context. The postholder will lead in course development, supervise students at undergraduate and postgraduate levels, and pursue external research funding. The position emphasizes real-world engineering solutions, interdisciplinary collaboration, and contributing to an inclusive academic environment.

University of Birmingham Birmingham, Midlands Of England, United Kingdom £47 – £56 pa

Permanent

Full Stack Product Engineer

This role involves building and maintaining user-facing applications for AI and data-driven legal products. Responsibilities include frontend development with TypeScript, React, and Next.js, integrating with Azure services, and working closely with AI and data teams to deliver intuitive, secure, and scalable solutions.

Norton Rose Fulbright London, United Kingdom

Machine Learning Engineer

Design and deploy automated machine learning pipelines for insurance risk modelling and pricing, using MLOps practices and cloud platforms. Focus on tuning, deploying, and maintaining high-performance models in production with test-driven development and SOLID principles. Mentor junior engineers and collaborate with data science and underwriting teams.

Vermelo RPO M43Aq, United Kingdom