Machine Learning Jobs

40 jobs for “algorithm”

Results

Senior Libraries Engineer – AI and HPC

Last week

NVIDIA United Kingdom

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership and guidance to other library engineers.

Remote

Senior Libraries Engineer – AI and HPC

Last week

NVIDIA Switzerland

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-accelerated algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

Remote

Electronics / Software Engineer

7 months ago

Cambridge Consultants United Kingdom

Work as part of a multi-disciplinary technical team on client assignments spanning consumer devices, industrial systems, and defence. Design and implement embedded systems, including C software for embedded targets, SystemVerilog for FPGAs, PCB design, and hardware testing, while interacting directly with clients from requirements capture to handover.

On-site Permanent Clearance Required
Isomorphic Labs logo

ML Research Engineer, London

2 weeks ago

Isomorphic Labs London

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

Hybrid
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Research Scientist (Applied LLMs), London

4 months ago

Isomorphic Labs London

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents and reinforcement learning, with model training and inference engineering in JAX, PyTorch or TensorFlow. Depending on experience, you may also lead standalone projects, mentor ML researchers and shape the research roadmap.

Hybrid

Principal AI Engineer

Last month

Synoptix Bristol £65,000 – £85,000 pa

Lead the technical vision and delivery of bespoke AI research programmes, spanning object detection, neural network resilience, AI assurance and synthetic data. Day-to-day work includes high-throughput vision systems on NVIDIA Jetson hardware, CUDA/TensorRT acceleration, multi-modal thermal and optical sensing, and real-time tracking, while guiding junior engineers and engaging senior stakeholders.

Hybrid Clearance Required

Machine Learning Research Engineer

3 months ago

Relation Therapeutics London

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU/multi-node training, profiling GPU workloads, and productionising research code for multi-modal biological data.

On-site Permanent

Technical Program Manager, AI Delivery for Public Sector & Defence, UK

3 months ago

Cohere London

Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling, acting as the bridge between frontier AI capabilities and government requirements. Navigate procurement, security authorisations, data sovereignty and compliance while coordinating Applied ML, Forward Deployed Engineering, Platform and Product teams. Work spans air-gapped, on-premises and highly regulated environments.

Hybrid Permanent Clearance Required
Isomorphic Labs logo

Research Scientist (Machine Learning), London

4 months ago

Isomorphic Labs London

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with opportunities to lead projects and mentor others depending on experience.

Hybrid

Senior CPU Compiler Performance Engineer

4 months ago

NVIDIA Cambridge

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to develop next-generation compiler toolchains. Analyze real-world AI and HPC applications to drive improvements in both hardware and software stacks.

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