Latest ml scientist Jobs

Senior Software Engineer, AI Inference Systems

Design and optimize high-performance AI inference systems for large-scale models on NVIDIA GPUs, focusing on frameworks like vLLM, kernel optimization, compiler infrastructure, and distributed execution. Develop benchmarking methodologies, contribute to MLPerf, and integrate cutting-edge research into production software. Work across compiler, scheduling, and performance teams to push the limits of accelerated computing in multi-GPU and multi-cloud environments.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior Software Engineer, AI Inference Systems

This role involves building and optimizing AI inference systems for large-scale models on NVIDIA GPUs. The engineer will work on high-performance inference stacks, GPU kernel optimization, compiler infrastructure, and distributed scheduling, while contributing to benchmarks like MLPerf. Collaboration with research teams and integration of cutting-edge ML systems concepts into production software are key aspects of the role.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Software Engineers - HPC / Distributed Systems- Sophisticated Prop Trading Firm

This role involves building a cutting-edge HPC and distributed systems platform for a prop trading firm. You'll work in a greenfield environment, shaping the research stack and infrastructure from scratch, with a focus on GPU-heavy workloads and distributed training. The team structure is pod-like, offering significant strategic influence and collaboration.

eFinancialCareers London, United Kingdom

On-site Permanent

Leading Engineering Developer - Enterprise AI Products - Senior Vice President - Citi

This role involves leading technical components of an AI-enabled platform, designing and developing robust solutions using Python or Java, and working with cutting-edge technologies like Google ADK, Model Context Protocol (MCP), and agent-based architectures. The developer will engage directly with business partners to translate real-world problems into technical solutions, drive platform strategy, and ensure seamless integration across systems while maintaining high standards in code quality, risk, and compliance.

eFinancialCareers London, United Kingdom

Anthropic Fellows Program, AI Safety & Security

This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.

Anthropic United Kingdom

Hybrid Internship

Anthropic Fellows Program

A 4-month, full-time fellowship program offering mentorship and funding for technical talent to conduct empirical AI research aligned with Anthropic’s safety and security priorities. Fellows work on projects in areas like scalable oversight, adversarial robustness, or AI economics, with access to compute resources and a collaborative research environment. The program supports diverse backgrounds and encourages applications from underrepresented groups.

Anthropic United Kingdom

Hybrid Internship

Senior Software Engineer, AI Inference Systems

This role involves building and optimizing AI inference systems for large-scale models, focusing on high-performance GPU stacks, kernel optimization, and multi-node deployment. The engineer will contribute to frameworks like vLLM, develop compiler infrastructure, lead benchmarking efforts including MLPerf, and integrate cutting-edge research into production software. Collaboration across compiler, scheduling, and performance teams is central to advancing NVIDIA’s accelerated computing platform.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote 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

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that interprets relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on high-impact applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance graph learning and relational reasoning in enterprise AI.

NVIDIA

Senior Developer Relations Manager, ISV

This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, enabling solutions using NVIDIA's stack, and translating field feedback into product insights. Emphasis is placed on technical engagement, ecosystem growth, and cross-functional collaboration to accelerate AI-driven innovation in targeted verticals.

NVIDIA Reading, United Kingdom

Senior Developer Relations Manager, ISV

This role involves driving the adoption of NVIDIA's AI and computing platforms by engaging with ISVs and developer ecosystems. The Senior Developer Relations Manager will act as a technical advocate, supporting partners through integration, co-innovation, and problem-solving while gathering field insights to influence product development. The position emphasizes technical leadership, cross-functional collaboration, and strategic enablement in high-performance computing and AI domains.

NVIDIA United Kingdom

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, focusing on end-to-end optimization of neural network workloads. Collaborate with hardware teams to co-design future architectures and implement novel compilation techniques for spatial accelerators. Profile and benchmark performance while contributing to libraries and tools for cross-platform model deployment.

NVIDIA Cambridge, United Kingdom

Hybrid Permanent

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, focusing on optimizing neural network workloads for spatial processors. Collaborate with hardware teams to co-design future architectures and implement advanced compilation techniques such as graph transformations and memory optimizations. Work across the software stack, contributing to libraries, tooling, and deployment interfaces for seamless model execution.

NVIDIA

Hybrid Permanent