410 jobs for “Research Associate In Machine Learning A”
Faculty
Lead high-impact AI safety projects for Frontier Labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and thought leadership.
Python · NumPy · Pandas +2
Faculty
Lead high-impact AI projects, defining data science approaches and designing robust software architectures for bespoke client solutions. Mentor junior data scientists, partner with commercial teams on client relationships, and ensure delivery rigour across the project lifecycle. Hands-on Python, NumPy, Pandas and deep-learning work sits alongside team leadership.
Python · NumPy · Pandas +2
Isomorphic Labs · 201–500 people · Series A
Lead DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments while integrating PK, PD and toxicology data for dose and safety predictions. Work within an AI-first preclinical team, shaping ADME predictive models and authoring regulatory documents to advance candidates toward first-in-human trials.
Python · R
Isomorphic Labs · 201–500 people · Series A
Lead the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Partner with machine learning researchers to build predictive toxicology models and manage CRO relationships for outsourced wet-lab data generation, while mentoring junior scientists.
KNIME · Python
Builds and improves the RL training infrastructure researchers rely on, profiling and rearchitecting bottlenecks across the stack and owning run reliability end-to-end. Works closely with researchers and adjacent teams like inference and sandboxing, spanning low-level performance work through to RL algorithms.
JAX · PyTorch
Join the Pretraining team to develop the next generation of large language models, working at the intersection of research and engineering. You'll lead small research projects, design and analyse experiments on model architecture, algorithms, data processing and optimizers, and scale distributed training infrastructure across thousands of GPUs.
PyTorch · Kubernetes · GPUs
ElevenLabs
Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.
Kubernetes
ElevenLabs
Join the research team at an AI audio company, training state-of-the-art models across modalities and pushing existing models further through post-training, data curation and architectural improvements. You'll also design rigorous benchmarks and evaluations to determine whether new model iterations are genuinely better, working in lean autonomous teams with minimal bureaucracy.
GitHub
Queen's University Belfast
Conducts research in hardware-accelerated custom computing within QUB's Centre for Secure Information Technology, contributing to the European RIGOLETTO initiative on an open RISC-V automotive hardware platform for software-defined vehicles. Involves FPGA design, CPU architecture work, and collaboration with academic and industrial partners.
FPGA · RISC-V
PhysicsX
Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.
AWS · Azure · GCP +7
University of Southampton · 501–1000 people · University
Lead a translational research project extracting structured clinical findings from electronic health records using open-source large language models, harmonising them to ontologies such as HPO, SNOMED CT and ICD-10. Develop reproducible LLM-based pipelines on high-performance computing, integrate clinical and genomic data for autoimmune disease diagnostics, and manage early career researchers within a multidisciplinary team.
IRIDIS · HPO · SNOMED CT +6
University of Oxford
Develop and validate machine-learning models on large-scale multimodal NHS clinical data, including electronic health records, genomics, imaging and digital pathology. Build reproducible pipelines within secure data environments and work with clinicians, pathologists and engineers on disease progression and treatment response prediction.
NHS Data · Electronic Health Records · Medical Imaging +3
Helsing
Work at the intersection of machine learning and signal processing on RF data, building models that detect, classify and reason about signals in congested, contested spectrum for electronic warfare systems. Own problems end-to-end, from reading literature and prototyping on real recorded data to pushing models to edge hardware under hard latency and compute budgets, in a small research team alongside RF and hardware engineers.
ONNX · TensorRT
Helsing
Builds and deploys reinforcement learning agents for an autonomous aerial platform, owning the pipeline from large-scale simulation training to real-time deployment on flight-ready hardware. Works on multi-agent RL, partial observability and latency-constrained runtime integration in Python, Rust or C++.
GPU-based Simulators
Rise Technical Recruitment
Builds, evaluates and optimises LLM, agentic AI and computer vision systems for financial crime compliance, including fine-tuning foundation models and training custom models. Develops benchmarks, back-testing and evaluation pipelines, and creates human-feedback improvement loops, working closely with engineering and product teams.
