Latest data analyst Jobs

Senior Specialist Solutions Architect (AI/ML)

Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.

Databricks London, United Kingdom

Hybrid Permanent

Infrastructure & Platform Specialist Solutions Architect (SSA)

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.

Databricks London, United Kingdom

Hybrid Permanent

Engineering Manager - Core Infrastructure

This role involves leading a team of engineers to build and maintain the core infrastructure platform that supports CrowdStrike’s large-scale, AI-native cybersecurity systems. The Engineering Manager will drive the development of self-service infrastructure-as-code tools, ensure high availability and reliability across multi-cloud environments, and lead cloud cost optimization initiatives. The position emphasizes technical leadership in distributed systems, SRE practices, and AI-enhanced operational efficiency, within a culture of innovation and responsible AI adoption.

CrowdStrike £140,000 – £215,000 pa

Remote

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI technologies, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable generative AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business needs into technical strategies across enterprise and industry-specific use cases.

NVIDIA

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable Agentic AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business challenges into technical AI solutions across enterprise environments.

NVIDIA

Sr. Product Manager - Falcon Privileged Access

This role focuses on redefining privileged access management by eliminating standing privileges and enforcing just-in-time, context-aware access across endpoints, infrastructure, and cloud environments. The Senior Product Manager will leverage CrowdStrike’s AI-native Falcon platform to build seamless, secure experiences for privilege elevation and session brokering, integrating deeply with identity and security telemetry. The position emphasizes AI-driven workflows, frictionless user experiences, and modernizing legacy PAM through innovation.

CrowdStrike

Hybrid Permanent

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

Senior Applied Engineer

Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Full Stack Python Developer

Design and build full stack applications that enable users to interact with advanced computer vision and AI systems, focusing on image and video analysis, AI visualisation, and integration with customer infrastructure. Develop intuitive interfaces and workflows in collaboration with engineers and end users, with influence over architecture and technology choices. Work primarily on-site in West London, with some remote flexibility.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £60,000 – £80,000 pa

Hybrid Permanent Clearance Required

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Research Fellow: AI for Molecular Modelling – 16961

This role involves developing computational and AI-driven methods to predict species sensitivity to endocrine-disrupting chemicals by modelling protein structures and analysing protein-ligand interactions. The researcher will work on a UKRI NERC-funded project, integrating molecular modelling with machine learning and collaborating with experimental teams. The position focuses on nuclear receptor families across vertebrates, aiming to identify molecular determinants of chemical sensitivity.

Brunel University London London, United Kingdom £41 – £43 pa

Hybrid Contract

W

Staff Validation Systems Engineer

Develop and execute validation strategies for ADAS functions within Wayve’s AI Driver system, using simulation and real-world testing to ensure safety and performance. Define metrics, test coverage, and acceptance criteria in collaboration with cross-functional teams. Analyze results and drive validation processes from concept to implementation in a fast-paced, innovative environment.

Wayve London, United Kingdom

W

Senior SRE, AI Infrastructure

This role involves building and scaling the reliability foundations of an AI cloud platform, including model development and GPU compute systems. The engineer will define SRE frameworks, ensure platform resilience, and enable scalable AI deployment through automation and observability. It's a founding role requiring deep expertise in distributed systems, Kubernetes, and cloud infrastructure.

Wayve London, United Kingdom

On-site Permanent

Postdoctoral Research Assistant in AI

Develop and evaluate novel AI and machine learning methods using large-scale multimodal health datasets to support pandemic preparedness and public health decision-making. Work within a multidisciplinary, international research consortium, contributing to foundation models, predictive analytics, and generative AI systems. Collaborate with clinicians, epidemiologists, and public health agencies to ensure robust, transparent, and reproducible AI tools.

University of Oxford Oxford, South East England, United Kingdom £39 – £47 pa

Contract

AI Infrastructure Engineer, Sandbox Platform

This role involves building and maintaining a secure, high-performance sandboxing platform for AI agent workflows, focusing on strong isolation, low-latency execution, and developer experience. The engineer will design APIs, optimise resource utilisation, debug production issues, and collaborate with internal teams to shape the platform’s evolution across containerised and virtualised environments. It requires deep systems expertise in Linux internals, virtualisation, and developer-facing tooling.

Scale AI London, United Kingdom