Latest deep learning engineer Jobs

Principal Machine Learning Infrastructure Engineer

This role focuses on designing and operating scalable machine learning infrastructure for training and serving large physics-based models. You'll work closely with research scientists and ML engineers to optimize distributed training pipelines, improve data I/O performance, and build reliable model serving systems. The position emphasizes systems-level problem-solving, infrastructure automation, and enabling fast, reproducible experimentation on high-performance GPU clusters.

PhysicsX London, United Kingdom

Senior CFD Engineer - Plasma Specialist

This role involves developing high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, integrating them with AI-driven simulation tools. The engineer will work directly with customers on-site, validate models against real-world data, and collaborate with data science and ML teams to deliver actionable engineering solutions. The position emphasizes technical ownership, cross-functional collaboration, and global travel to support customer implementations.

PhysicsX London, United Kingdom

Hybrid Permanent

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on NVIDIA's next-generation GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance compiler frameworks and enable high-performance AI deployment at scale. Work spans MLIR-based tooling, deep learning performance, and datacenter-scale optimization.

NVIDIA Cambridge, United Kingdom

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations tailored to NVIDIA's GPUs. You'll work at the intersection of hardware and software, collaborating with experts to co-design future silicon and optimize datacenter-scale AI deployments. The position demands deep expertise in compiler design, MLIR, and performance optimization in high-performance computing environments.

NVIDIA United Kingdom

Senior Java Engineer - mthree

This role involves leading the architectural evolution and scaling of a high-throughput platform for a global financial institution. Responsibilities include influencing system design, driving automation, and optimizing performance for a platform processing millions of complex operations monthly.

eFinancialCareers London, United Kingdom

On-site Permanent

Quantitative Researcher Machine Learning - eFinancialCareers

The Quantitative Researcher will work closely with the algorithmic and technical teams to develop machine learning models that drive trading performance. Key responsibilities include building ML capabilities, developing trading indicators, and collaborating with senior leaders to shape a strategic approach to machine learning.

eFinancialCareers London, United Kingdom

On-site Permanent

Full Stack Software Engineer

Design and build full-stack AI-powered applications, translating machine learning outputs into production-ready systems. Collaborate with data scientists and product managers to deliver scalable, user-centric solutions for global clients in regulated industries. Focus on robust architecture, cloud deployment, and client-facing technical leadership.

Faculty AI London, United Kingdom

Hybrid Permanent

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that enables data scientists to transition machine learning models from exploration to production. The engineer will work across AWS, Azure, and GCP to build scalable, containerised systems using Kubernetes and infrastructure-as-code tools. The focus is on creating reliable, secure, and high-performance platforms that support client-facing AI solutions.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior QA Automation Engineer

Senior QA Automation Engineer - FinTech Trading Platform - London / Hybrid(Tech stack: C#, .NET Core, .NET 8/9/10, AI-Assisted Testing, Test Automation, Reqnroll, SpecFlow, NUnit, Azure DevOps, SQL Server, ASP.NET Core, REST APIs, CI/CD, BDD, Automation Frameworks, Investment Management, Wealth...

Noir London, United Kingdom £50,000 – £65,000 pa

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on performance optimization, debugging across hardware and training dynamics, and ensuring reliable, scalable model training. The position requires deep technical expertise in distributed systems and ML frameworks, with hands-on responsibilities during high-pressure model launches and a strong emphasis on operational reliability and cross-team coordination.

Anthropic London, United Kingdom £260,000 – £630,000 pa

On-site Permanent

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Permanent

Lead Learning Scientist

Lead the development and application of learning science in AI-powered education solutions, ensuring systems are pedagogically sound, evidence-based, and safe. Define best practices, design evaluations, and mentor cross-functional teams working on national infrastructure, tutoring, and assessment platforms. Translate cognitive science into technical requirements for scalable, data-rich learning systems.

Faculty London, United Kingdom

Permanent

Senior/Principal Machine Learning Scientist (Generative Modelling)

This role involves developing generative and predictive models of cellular behaviour using single-cell multi-omics and perturbation data, with a focus on causal inference, counterfactual prediction, and guiding experimental design. The scientist will work iteratively with wet-lab teams to validate hypotheses and refine models, operating at the intersection of machine learning and experimental biology. The position emphasizes mechanistic fidelity, real-world utility, and interdisciplinary collaboration in a high-impact drug discovery environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Sr. Security Engineer, Amazon Stores Security AppSec

As a Senior Security Engineer, you will collaborate with software development teams to ensure the security of Amazon's wide-ranging technology services, from e-commerce to machine learning pipelines. Responsibilities include threat modeling, secure code review, developing security automation tools, and providing security training and guidance to internal teams.

Amazon London, United Kingdom

On-site Permanent

Senior ML Engineer, Doc Fraud

This role involves building and optimizing production-scale machine learning systems for document classification and extraction, focusing on fraud detection in government-issued IDs. The engineer will work with VLMs/LLMs and traditional ML models, design training and inference pipelines, and integrate solutions into customer-facing products. Collaboration with applied science, product, and operations teams is key to delivering accurate, real-time document verification experiences.

Entrust London, United Kingdom

Hybrid Permanent