Latest Data Science Jobs

Faculty AI logo

UK Defence Veterans - Civilian Work Attachment

This role offers UK defence veterans in their final 12 months of service a one-week unpaid civilian work attachment at a leading AI company. Participants gain structured exposure to roles, teams, and processes within the Defence Business Unit, learning how AI is applied to military and defence challenges such as intelligence analysis, autonomous systems, and decision support. The placement is designed for career transition insight, not ongoing employment.

Faculty AI London, United Kingdom
Internship
CrowdStrike logo

Platform Professional Services Sr. Consultant , ESP)

This role involves deploying and optimising CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, troubleshoot AI-driven alerts, and integrate Falcon’s AI features into existing security workflows. A strong focus is placed on enhancing detection efficacy, reducing false positives, and leading AI skills development within the services team.

Remote Permanent
CrowdStrike logo

Platform Professional Services Sr. Consultant , ESP)

This role involves deploying and optimizing CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, and troubleshoot AI-driven security workflows while providing technical leadership and customer support. The position emphasizes hands-on implementation, AI integration with existing security tools, and enhancing detection efficacy through advanced scripting and Falcon API utilization.

Remote Permanent
Entrust logo

Senior ML Engineer, Doc Fraud

Design and build production-grade machine learning systems for document classification and extraction, focusing on high accuracy and scalability across global identity documents. Work with LLMs and traditional ML models, optimize inference pipelines, and collaborate with cross-functional teams to enhance fraud detection and customer onboarding. Emphasis on technical leadership, system reliability, and mentoring within a squad-based engineering culture.

Entrust
Hybrid
PhysicsX logo

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multi-physics simulation models, particularly in multiphase CFD and coupled CFD-DEM, to support AI-driven engineering solutions. The engineer will work directly with customers across industries like aerospace, energy, and automotive to build and validate complex simulations, automate workflows, and generate data for machine learning. Key responsibilities include geometry processing, meshing, simulation, and optimisation using tools like Star-CCM+, OpenFOAM, or Fluent, alongside Python scripting and parametric CAD integration.

PhysicsX London, United Kingdom
PhysicsX logo

Delivery Engineer - Aerospace & Defense

Lead business development and delivery projects for an AI-driven simulation platform within the aerospace and defense sector. Engage with senior engineering and manufacturing leaders to identify opportunities, scope technical proposals, and drive customer adoption. Shape product direction through direct customer feedback and represent the company at industry events, balancing strategic relationship management with hands-on project execution.

PhysicsX England US$175,000 – US$250,000 pa
Hybrid Permanent Clearance Required

Manager_Associate Director - Project Management

This role involves leading project management for a multi-year osteoporosis drug discovery programme within a TechBio environment. You'll coordinate across interdisciplinary teams including wet lab biology, machine learning, and data science, translating scientific objectives into integrated delivery plans. The position requires managing cross-team dependencies, evolving workstreams, and governance processes in a discovery-stage R&D setting with high ambiguity and scientific complexity.

Relation Therapeutics London, United Kingdom
Permanent

Associate Director, Platform Engineering

Lead and develop the platform engineering team responsible for hybrid infrastructure, Kubernetes-based clusters, and scientific compute environments that support machine learning and drug discovery workflows. Define platform strategy, ensure robust CI/CD, observability, and security, and act as a technical leader across engineering and data science. The role involves shaping a developer platform tailored to computational scientists and genomic data pipelines in a high-impact TechBio environment.

Relation Therapeutics London, United Kingdom
Permanent

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business goals. Establish monitoring frameworks to detect performance issues and data drift, and lead incident response for AI systems. Champion MLOps practices and collaborate across engineering, product, and compliance teams to ensure ethical, secure, and efficient AI deployments in production.

Mastercard Ashbourne, Derbyshire, United Kingdom

Graduate AI Engineer

This role involves supporting the development and deployment of AI and machine learning models, working with large datasets, and collaborating with software engineers and product teams. You'll contribute to backend development, API integrations, and research new AI frameworks, ensuring responsible and ethical AI development.

Global Tech Recruitment London, United Kingdom £38,000 – £45,000 pa
Hybrid Permanent

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI solutions in production.

Mastercard Celbridge, Kildare County, Ireland
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

Staff Tech Lead Manager, Machine Learning, Vision Models

Lead a team building offline scene understanding models to evaluate and improve Wayve's autonomous driving systems. Develop robust, scalable models that leverage high-compute environments to generate counterfactual insights, assess driver behaviour, and inform model development. Work across UK and US teams to unify technical direction and accelerate the AV development loop through rigorous ML engineering and cross-functional collaboration.

Wayve London, United Kingdom
NVIDIA logo

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 implement advanced AI agent workflows, support the development of RAG pipelines, and collaborate with technical teams across partners and NVIDIA to deliver full-stack AI solutions. A key focus is evangelizing accelerated computing and Agentic AI through technical engagement, demonstrations, and strategic alignment with enterprise use cases.

NVIDIA United Kingdom
NVIDIA logo

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