Latest research engineer Jobs

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities. The position emphasizes optimizing large-scale AI infrastructure across cloud platforms.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scale characterization for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Key responsibilities include root cause analysis, CI/CD integration for continuous testing, and contributing to upstream projects like Kubernetes and CNCF.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Cash Equity Quant Researcher / London/ New York - Open

This role involves conducting advanced research to identify systematic anomalies in the equities market, developing and implementing trading strategies, and maintaining portfolio trading systems. You will work with large datasets, perform alpha idea generation, and contribute to the scalable research framework.

eFinancialCareers London, United Kingdom

On-site Permanent

London Start Up Hiring Junior Quant Researcher With Experience

The Junior Quant Researcher will conduct quantitative research using statistical and predictive modeling techniques, manage the full lifecycle of strategy development, and create computer-based models to predict financial market movements. The role involves working closely with a start-up environment, requiring a strong background in machine learning and programming.

eFinancialCareers London, United Kingdom

On-site Internship

Python Developer

Develops and maintains Python-based backend services and APIs, focusing on cloud-native applications integrated with AI/ML models. Works within a collaborative, agile environment to build scalable data and machine learning pipelines, ensuring high performance, security, and reliability through modern engineering practices like CI/CD and Infrastructure as Code.

Adecco London, City And County Of the City Of London, United Kingdom

Hybrid Contract

Machine Learning Researcher

This role involves developing machine learning algorithms for radio frequency (RF) signal detection and exploitation in defence and electronic warfare contexts. The researcher will work on real-world AI applications in congested electromagnetic environments, designing novel solutions and publishing high-quality research. The position is based in South East England with hybrid working, requiring weekly office attendance while supporting significant remote work.

ECM Selection United Kingdom £50,000 – £58,000 pa

Hybrid Contract Clearance Required

Applied Scientist II, Strategic Account Services (SAS)

This role involves developing and deploying advanced AI and machine learning solutions to enhance seller operations and internal consultancy within Amazon's Strategic Account Services. The scientist will work on large-scale problems using LLMs, reinforcement learning, causal inference, and optimization techniques, translating research into production systems. The position emphasizes technical leadership, cross-team collaboration, and innovation in generative AI and recommendation systems.

Amazon London, United Kingdom

On-site Permanent

Applied Scientist - All Levels

This role involves developing AI-driven physical foundation models for engineering applications, translating complex physics and engineering problems into mathematical formulations. You'll work on building and optimizing machine learning models—particularly deep learning and probabilistic methods—for high-dimensional spatiotemporal and geometric data, with direct application in advanced industries like Aerospace, Energy, and Semiconductors. The position emphasizes research ownership, collaboration with engineers and customers, and publishing impactful technical work.

PhysicsX United Kingdom

Hybrid Permanent

Machine Learning Scientist

This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build robust data pipelines, optimize model performance, and translate model outputs into wet lab testing campaigns. The position requires deep expertise in generative modeling, production-level ML coding, and iterative learning from experimental feedback.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Senior Computer Vision Data Scientist

This role involves leading the development of physics-informed predictive maintenance systems for high-value industrial equipment. You will work directly with major industrial customers to build pipelines that fuse periodic inspection imagery with equipment operating history and physics-based inputs to predict remaining component life, helping operators reduce costly unplanned interventions and optimize asset availability.

PhysicsX North Tyneside, NE29 8EP, United Kingdom

On-site Permanent

Applied Scientist - LLM, Alexa

This role involves advancing Alexa's conversational AI by researching and deploying large language models to improve reasoning, tool integration, and customer experience. The scientist will work across the full lifecycle from ideation to production, collaborating with engineers and product teams to solve complex NLP challenges. The work focuses on real-world ML systems that require both scientific rigor and scalable engineering.

Amazon Cambridge, United Kingdom

Hybrid Permanent

Talent Pool

This role involves joining Relation Therapeutics' talent pool for potential future opportunities in computational and discovery roles within life sciences, research, and ML engineering. The company is focused on developing transformational medicines using cutting-edge technology and machine learning, with a strong emphasis on interdisciplinary collaboration and innovation.

Relation Therapeutics London, United Kingdom

On-site Permanent

Data Scientist

This role involves developing advanced data science solutions using Bayesian inference, probabilistic modelling, and machine learning to solve complex scientific and industrial challenges. You'll work on proprietary tools and cutting-edge research, contributing to both client projects and core technology development in a hybrid environment. Collaboration with academic partners and participation in technical workshops are key aspects of the role.

JobHeron London, United Kingdom £54,000 – £58,000 pa

Hybrid Permanent

Senior Specialist Solutions Architect (AI/ML)

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on generative AI, including RAG architectures, agentic systems, and AI observability. The architect will guide enterprise customers through technical challenges, build MVPs, and influence product development by representing customer needs. They will also drive thought leadership through technical content, training, and public speaking.

Databricks London, United Kingdom

Hybrid Permanent