155 jobs for “computer vision”
Owns research work-streams, setting technical direction and roadmaps while guiding junior team members. Builds deep learning and probabilistic models of physical systems, translating physics and engineering problems into mathematical formulations and production-ready code with ML and simulation engineers.
PyTorch · CUDA · JAX +2
Build physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Work at the intersection of data science and software engineering, owning research work-streams and translating results into reusable libraries, tooling and products alongside scientists, customers and partners.
PyTorch · JAX · NumPy +7
Wayve · 11–50 people · Series A
Cross-functional individual contributor defining software architecture across onboard software, AI, simulation, training, inference and Robotaxi systems. Leads large architectural changes spanning multiple engineering organisations, setting boundaries and interfaces between AI, compute and vehicle systems, and acts as technical tiebreaker on complex decisions.
Wayve · 11–50 people · Series A
Build and operate backend services, APIs and data-processing workflows for a platform that deploys, runs and evaluates ML models over petabytes of driving data and large GPU fleets. Work spans model-execution workflows, versioned outputs, annotation and dataset-catalogue features, plus reliability, performance and cost work across distributed, compute-intensive systems.
Flyte · Airflow · Dagster +7
KO2 Embedded Recruitment Solutions
Designs and builds real-time embedded software in C and C++ for microelectronics and sensors, alongside data pipelines and machine learning systems. The role covers CI/CD for ML, model versioning and drift monitoring, generative AI and LLM work including RAG and fine-tuning, plus ETL/ELT pipelines and IoT data services. Joins a small team owning the full SDLC from clean-sheet design to live deployment.
Spark · dbt · CI/CD +1
Hays Technology
Hands-on technical lead for a large-scale AI programme, turning architectural direction into production-grade systems across complex legacy and multi-cloud environments. Builds RAG pipelines, semantic search, embedding infrastructure and orchestration layers, sets coding standards, mentors engineers and embeds Responsible AI guardrails, security and observability.
LangChain · LlamaIndex · AWS +3
Amazon · Public
PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.
Rufus
Amazon · Public
Customer-facing technical role driving GenAI/ML adoption for large UKI enterprises, designing architectures, leading workshops and proof-of-concepts, and advising C-suite leaders. Requires hands-on ML experience with PyTorch, TensorFlow, Hugging Face and AWS services like Bedrock and SageMaker, plus thought leadership through blogs and events.
AWS · PyTorch · TensorFlow +7
Isomorphic Labs · 201–500 people · Series A
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.
JAX · PyTorch · TensorFlow +3
Isomorphic Labs · 201–500 people · Series A
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.
JAX · PyTorch · TensorFlow +3
NVIDIA · Public
Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.
NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7
NVIDIA · Public
Acts as the primary technical contact for academic and research partners, helping integrate NVIDIA's accelerated computing stack into large language model and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep multi-node LLM lifecycle expertise and involves around 30% travel.
NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7
Cambridge Consultants
Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.
Transformers · Edge AI
Databricks · 1001–5000 people · Late stage
Leads and scales the UK Forward Deployed AI Engineering team, delivering professional services engagements that help EMEA customers productionise GenAI and ML applications. Combines people leadership and hiring with executive customer advisory work, owning OKRs for revenue, utilisation and references while feeding voice-of-customer insight back into Product, R&D and GTM strategy.
Databricks · AWS · Azure +7
Cambridge Consultants
A paid 6-12 month PhD internship in the AI & Algorithms department, working across the full robotic learning pipeline from data collection and model training to deployment on real hardware. Interns join mixed-discipline teams on client projects in healthcare and industrial settings, contributing to internal R&D and using labs, robotic platforms and compute resources.
ROS · Git · Isaac Sim +7
