Latest Deep Learning Jobs

Senior Deep Learning Engineer

This role involves optimizing and deploying large-scale deep learning models for high-performance inference on GPU platforms, specifically within NVIDIA's Cosmos World Foundation Models platform. The engineer will work at the intersection of deep learning and systems optimization, profiling workloads, removing bottlenecks, and ensuring efficient deployment across diverse hardware. The position requires strong expertise in PyTorch, inference optimization frameworks, and GPU performance tuning.

NVIDIA PLN 221,250 – PLN 507,000 pa

Senior Deep Learning Software Engineer, Inference

Design and optimize GPU-accelerated deep learning inference software for large-scale language and generative AI models. Contribute to open-source frameworks like vLLM and SGLang, and implement performance improvements across NVIDIA's full range of accelerators from datacenter to edge. Work closely with research and engineering teams to profile, tune, and deploy state-of-the-art model serving solutions using CUDA, Triton, and other low-level optimization tools.

NVIDIA Netherlands

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites to implement solutions on-site. The position focuses on turning research into practical, high-impact tools using Python, PyTorch, and cloud/on-prem infrastructure.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom

On-site Permanent

ML Research Engineer, London

Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work closely with scientists to build predictive and generative models using advanced deep learning techniques, with a focus on innovation in computational biology and chemistry. Contribute to a collaborative, interdisciplinary team advancing a digital biology platform for transformative medicine development.

Isomorphic Labs London, United Kingdom

On-site Permanent

Research Scientist (Applied LLMs), London

A Research Scientist will focus on applying Large Language Models to drug discovery challenges, developing novel ML techniques and models that integrate with biological and chemical data. The role involves close collaboration with interdisciplinary teams of scientists and engineers to advance AI-driven drug design. Work includes model development, experimentation, and scaling frameworks for predictive applications in a fast-paced research environment.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Unreal Engine Developer - Synthetic Data / AI

Develop and scale Unreal Engine 5 applications to generate synthetic imagery for training AI and computer vision models. Collaborate with AI researchers and engineers to automate rendering workflows, improve scene generation, and build production-grade software for secure deployment. Work across technical and non-technical teams to create intuitive tools for scalable synthetic data pipelines.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £55,000 – £70,000 pa

Senior 3D Artist - Unreal Engine / Synthetic Data

This role involves creating high-fidelity 3D environments and digital assets in Unreal Engine for use in synthetic data generation to train and evaluate AI and computer vision systems. The artist will work closely with AI engineers and developers to build realistic, real-time simulations of terrain, vehicles, and infrastructure for defence and security applications. Responsibilities include modelling, texturing, lighting, and optimising assets, as well as automating workflows and integrating assets into simulation pipelines.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £45,000 – £60,000 pa

Data Science

The role involves using advanced data science techniques to solve complex business problems in a retail environment. The Senior Data Scientist will develop predictive models, apply machine learning, and collaborate with stakeholders across domains such as pricing, supply chain, and marketing. Emphasis is placed on prototyping solutions, algorithm design, and communicating insights to both technical and non-technical audiences.

Pontoon London, City And County Of the City Of London, United Kingdom £500 – £750 pd

Hybrid Contract Part-time

Senior Research Data Scientist

Design and prototype advanced AI models using transformers and generative AI for retail and consumer analytics challenges. Translate research into scalable production solutions while collaborating with engineering, product, and academic partners. Drive thought leadership in deep learning and mentor teams to build organisational capability in cutting-edge machine learning.

dunnhumby London, United Kingdom

On-site Permanent

Lead AI Researcher

The Lead AI Researcher will lead the development and deployment of cutting-edge deep learning systems for high-stakes defence and national security applications. This founding role involves solving ambiguous, mission-critical problems from concept to production, designing advanced AI models, and establishing engineering standards and tooling for a world-class team. Day-to-day work includes close collaboration with leadership to translate operational needs into technical solutions, training and deploying frontier models, and building robust ML infrastructure in a rigorous, security-conscious environment.

Kangal AI London, United Kingdom £100,000 – £200,000 pa

On-site Permanent

Member of Technical Staff, Applied AI

Develop and deploy generative AI models in customer environments within the biotech and pharmaceutical sectors. Collaborate with interdisciplinary teams to adapt and optimise proprietary models, build production-grade API integrations, and deliver scientific value through technical deployment and customer engagement. Focus on performance, reliability, and translating research into real-world applications.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

PhD Studentship: Agentic AI and Intelligent Autonomous Systems

This PhD studentship focuses on advancing agentic AI and intelligent autonomous systems, with research into multi-agent collaboration, autonomous decision-making, and self-improving cognitive architectures. The candidate will work on developing agentic large language models with planning, tool use, and self-evaluation capabilities, using Python and deep learning frameworks like PyTorch or TensorFlow. The project emphasizes safe, transparent, and privacy-preserving AI, within an active research group working on AI, blockchain, and federated learning.

City St George's, University of London Clerkenwell, London, London, EC1R 0EA, United Kingdom £23,805 pa

Contract

Senior Data Scientist (Imaging)

This role involves curating and analyzing high-content imaging datasets such as cell painting and brightfield assays to build generative and predictive models of cellular behaviour. The Senior Data Scientist will work closely with wet lab teams to ensure data quality, evaluate deep learning models, and integrate imaging data with multi-omic readouts. The position emphasizes interdisciplinary collaboration, model interpretability, and translating biological insights into therapeutic strategies.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Research Engineer - Audio Post-Training

A Senior Research Engineer will work on advancing high-quality, expressive synthetic voice generation within Synthesia's in-house AI models. The role involves fine-tuning and optimizing speech models using techniques like DPO and LoRA, implementing post-training optimizations for real-time performance, and integrating novel architectures such as neural codecs and diffusion models. The position is embedded in a research-driven team focused on pushing the boundaries of generative audio in enterprise applications.

Synthesia London, United Kingdom £50,000 pa

Remote Permanent