Latest machine learning Jobs

Senior AI Engineer

Lead the design and implementation of AI and machine learning solutions across a global legal firm, managing both internal engineers and external providers. Drive technical strategy, model development, deployment, and integration within a scalable AI platform. Mentor teams, align with enterprise architecture, and deliver business value through innovation in AI use cases.

A&O Shearman Dunmurry, County Antrim, United Kingdom

Senior AI Engineer

The Senior AI Engineer will lead the design and implementation of AI and machine learning solutions across the firm, managing both internal teams and external providers. This role involves defining technical strategy, developing scalable AI architectures, and integrating models into enterprise systems. The position requires close collaboration with business stakeholders to align AI use cases with strategic outcomes, particularly within a legal or professional services context.

A&O Shearman Donaghadee, County Down, United Kingdom

Data Scientist, Economic Crime Hub - NatWest Group

As a Data Scientist in the Economic Crime Hub, you will develop and implement data science tools to prevent fraud and scams, improve fraud decisioning, and reduce customer harm. You will work closely with fraud stakeholders, apply machine learning and software engineering practices, and monitor models for performance and regulatory compliance.

eFinancialCareers Manchester, United Kingdom

Data Scientist

This role involves working with real-world insurance data to drive insight-led decision making in areas like pricing, portfolio analytics, and client segmentation. You will use Python, R, SQL, and data visualization tools to analyze and communicate insights to both technical and non-technical stakeholders.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Technical Lead Manager, Synthetic Data

Lead a team of machine learning engineers to develop and scale synthetic data generation using generative world models like GAIA for autonomous driving research. Focus on rig and pose transfer, scalable generation infrastructure, and integrating synthetic data into training pipelines to reduce reliance on real-world data collection. Work closely with researchers and engineers to validate impact on driving model performance.

Wayve London, United Kingdom

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to build a unified AI model for enterprise data.

NVIDIA Germany

On-site Permanent

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Senior Research Scientist - AI Safety

Lead high-impact research in AI safety, focusing on red teaming and evaluations for frontier models in high-risk domains such as cybersecurity and CBRN. Develop novel mitigation strategies, shape research direction, and contribute to publications and stakeholder engagement. Work at the intersection of technical depth and real-world safety impact within a small, high-agency team.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

Senior Full Stack Software Engineer

Design and build full-stack platforms that translate complex data science and AI insights into production-grade applications, with a focus on scalability and performance. Lead technical architecture, mentor engineers, and collaborate closely with data scientists and product managers in a regulated financial services context. Work across frontend and backend systems to deliver secure, reliable software solutions for high-impact clients.

Faculty AI London, United Kingdom

Hybrid Permanent

Deployment Strategist

As a Deployment Strategist, you will build and maintain relationships with key customer stakeholders, understand their engineering challenges, and translate them into product opportunities. You will own the customer onboarding journey, support delivery teams, and identify new areas for growth and innovation using PhysicsX's AI solutions.

PhysicsX United Kingdom

Customer Performance Analyst

As a Customer Performance Analyst at Entrust, you will analyze customer performance data to identify trends, resolve issues, and improve product performance. You will work closely with cross-functional teams to provide evidence-based recommendations and ensure customer satisfaction.

Entrust

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.

PhysicsX London, United Kingdom

Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)

This role involves acting as a technical advisor to customers, demonstrating the Databricks Data Intelligence Platform through hands-on evaluations and custom proof-of-concepts. The engineer will collaborate with sales teams to translate customer data challenges into technical solutions, develop reference architectures, and support clients across industries like media, finance, and retail. The position requires deep expertise in big data, AI, and cloud ecosystems, with regular engagement in technical workshops and on-site customer visits.

Databricks London, United Kingdom

Hybrid Permanent

Engineering Lead - Human Influence

The Engineering Lead will manage a team of engineers focused on developing evaluations, data pipelines, and complex multi-agent setups to study human-AI interactions. The role involves leading ambitious research projects, designing scalable system architectures, and building automated pipelines for human-AI experiments.

AI Security Institute London, United Kingdom

AI Forward Deployed Engineer - London

This role involves developing and deploying cutting-edge GenAI solutions for customers, collaborating with product and engineering teams, and presenting at industry conferences. The ideal candidate has extensive experience with GenAI tools and platforms, a passion for collaboration, and a graduate degree in a quantitative field.

Databricks London, United Kingdom