26 to 31 of 31 Synthetic Data Jobs in London

building 0-to-1 systems, pipelines, and scalable infrastructure. Preferred qualifications: Experience engineering search and retrieval pipelines, time-series workflows, or simulation environments with synthetic data generators. Experience working alongside research teams to convert groundbreaking, open-ended research ideas into robust prototypes and production-grade products. A demonstrated … institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real‐world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

eval methodology — task and repo-level evals, dataset curation, the craft of measuring what actually matters. Outer-loop and pipeline thinking — feedback loops, training-data flywheels, bandit-style optimisation, anything that goes beyond a single agent session. Failure-mode analysis — instrumenting agents, reading traces at volume, surfacing patterns engineering … Direct experience with coding agents or code-generation systems. Background in RL, bandits, or other outer-loop optimisation frameworks applied to LLMs. Experience building synthetic data, dataset infrastructure, or internal tooling that other engineers actually used. A project you can show us (GitHub links welcome) and a thoughtful ...

complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems … perception algorithms - Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks - Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities - Design ...

benchmark from scratch that distinguished specific model capabilities (i.e., produced a measurable, defensible capability difference, not just a score). Have built synthetic data for post-training textual or multimodal models. Can reproduce a published benchmark result and identify where the original methodology is fragile or misleading. ...

large-scale experiments, and drive breakthroughs into production. You will develop models that reason about document layout by fusing expert, real world and synthetic data, while leading efforts to make our #J-18808-Ljbffr ...

Lead to own the pretraining stage of our VLM/VLA framework powering a fleet of robots across platforms. Define base model strategy, data mixtures, and scaling, leading research engineers training foundation policies on diverse real-world and synthetic data. You will design large-scale distributed training, establish … evaluation suites, and collaborate with MLOps and Data Platform teams to ensure smooth transfer to post-training and real-robot inference. #J-18808-Ljbffr ...