235 jobs for “Human Resource Consulting”
Faculty
Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor technical teams, and bridge deep research with client strategy across high-stakes engagements.
NumPy · Pandas · Inspect AI +1
Faculty
Design, build and deploy secure, scalable cloud infrastructure for AI and ML workflows, working in a cross-functional team with data scientists and ML engineers. The role involves infrastructure-as-code with Terraform, containerised deployments on Docker and Kubernetes, CI/CD and GitOps, plus client-facing requirements gathering and technical scoping.
Azure · AWS · Terraform +4
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. Fully remote, with tooling work letting researchers explore and train on massive datasets.
Kubernetes
ElevenLabs
Backend-leaning full-stack engineer joining a small team building Creative Agents that turn ideas into audio, image and video. You'll build production agents using prompts, tool use, orchestration and MCP integrations, design reliable async backend systems for long-running generation tasks, and develop shared evaluations and live quality monitoring. Ownership runs end to end, from prototyping to shipping and operating features in production.
MCP
Isomorphic Labs · 201–500 people · Series A
Lead the safety assessment strategy for small molecule and biologic drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments. Partner with machine learning researchers to build predictive toxicology models and manage external CROs for all wet-lab data generation, while mentoring junior scientists.
KNIME · Python
Isomorphic Labs · 201–500 people · Series A
First Technical Program Manager hire for the Drug Design and Medical Research function, supporting small molecule drug discovery programs in Cambridge, MA while integrating with the London office. Responsibilities span program planning, timeline monitoring, risk reporting, budget forecasting and spend tracking, CRO and external partner liaison, and embedding operational processes across teams.
Jira · Confluence
Relation Therapeutics
Open speculative application for a TechBio company, inviting CVs from computational biologists, life sciences researchers, and ML engineers with high-performance multi-GPU computing experience. Successful candidates would join matrixed, interdisciplinary teams combining biology, computation and engineering in wet and dry labs to advance drug discovery.
Builds foundational infrastructure for AI safety, oversight and intervention, including data storage, metrics and evaluation systems, and tooling for human and agentic review. The role also involves running these systems day to day and building multi-layered, real-time defenses against misuse at scale.
Claude Code
OpenAI
Customer-facing technical role helping organisations evaluate, build, deploy and adopt AI technology. Work spans architecture, integrations, data, security and evaluation, plus demos, prototypes and production solutions, with enablement workshops and delivery coordination alongside Sales, Product, Research and Engineering. This is a general talent pool rather than a specific vacancy.
OpenAI
M4 Partners
Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform. Work spans information extraction, classification, retrieval, summarisation and decision support, with a strong focus on structured JSON outputs, evaluation datasets and deployment into customer applications.
AI APIs · Vector Databases · Model Context Protocol +1
Wayve · 11–50 people · Series A
Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. Diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.
Nissan · Mercedes
Wayve · 11–50 people · Series A
Hands-on optimisation of large transformer model inference for edge accelerators and GPUs, profiling model graphs, compiler/runtime behaviour, kernel execution and memory movement. You'll implement fusions, scheduling, quantisation-aware performance and custom kernels, and build benchmarking and regression tests for targets like NVIDIA Orin/Thor and Qualcomm platforms, working closely with model, platform and deployment teams.
TensorRT · CUDA · Qualcomm QNN +6
dunnhumby
Delivers machine learning models and analytical insights for Tesco UK Suppliers, working with transactional, shopper and clickstream data. Partners with Client Leadership teams to scope client needs and build scalable, reusable solutions across personalisation, pricing and promotions. Requires Python, SQL and statistical modelling, with PySpark advantageous.
Python · SQL · PySpark +1
OpenAI
Join OpenAI's Training team in London to push the frontier of LLM development for flagship models, enhancing intelligence, efficiency, and adding new capabilities. The role involves designing and scaling new architectures, running experiments, debugging regressions, and optimizing model and computational performance, with a hybrid schedule of three days in the office per week.
Cohere
Designs and oversees data collection tasks with human annotators, applies statistical methods to assess dataset quality, and analyses the robustness and generalisability of large language models. Involves training and fine-tuning LLMs on distributed infrastructure and running experiments with researchers, engineers and annotators to improve model performance.
PyTorch · TensorFlow · JAX
