455 jobs for “Engineering”
Cohere
Founding Solutions Architect for the Nordics, owning the technical relationship with enterprise and government customers. Leads design and deployment of pilots, maps customer problems to AI solutions, and works with account executives, partners and product teams to drive adoption of LLM technology.
Cohere · Python
Cohere
Deploy Cohere's North AI workspace platform into private cloud and on-premises environments, leading planning, configuration, testing and rollout. Partner with enterprise IT teams on infrastructure, security and data management, administer large-scale Kubernetes clusters with Helm, and travel up to 20-40% to customer sites. Requires active DV clearance (preferred) and strong cloud, networking and virtualization expertise.
Kubernetes · Helm · Git +3
NVIDIA · Public
Lead architecture for cloud-networking, defining system architecture for DPUs and NICs across orchestration, provisioning, security and SDN. Build end-to-end solutions from application to hardware, write architecture specifications, and prototype proofs of concept while working with global teams and high-profile customers.
DPDK · OVS · OVN +7
NVIDIA · Public
Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++, Python and machine learning framework internals expertise.
JAX · PyTorch · TensorFlow +4
eFinancialCareers
This role involves researching and developing mathematical and statistical models for systematic investment strategies, using advanced techniques in machine learning and large-scale data analysis. The researcher will work across the full lifecycle—from hypothesis generation and model testing to production implementation—within a collaborative environment alongside portfolio managers and engineers. The position emphasizes original, rigorous research applied to global financial and alternative datasets.
eFinancialCareers
This role involves conducting original quantitative research to develop statistical and mathematical models for trading, using large, noisy datasets and proprietary infrastructure processing billions of market events daily. The scientist will translate research into production code, peer-review ideas, and explore unconventional approaches with potential investment value. The position emphasizes deep mathematical problem-solving, programming rigor, and collaboration in a research-driven, intellectually autonomous environment.
Anthropic · 51–200 people · Series B
Gatekeeper for EMEA data center deals from desktop review through LOI to lease execution, spending about 75% of time on preconstruction and pre-lease diligence and 25% on delivery. Independently tests developer schedules, costs, power and permitting against source documents, shapes lease and contract terms, and embeds with partners on site to drive accelerated build schedules.
Claude
Isomorphic Labs · 201–500 people · Series A
Lead a team of biologists in the Exploratory Sciences group, owning in vitro pharmacology strategy for novel modalities such as TPD, molecular glues and peptides. Design screening cascades and quantitative assays, set ML-ready data standards, and champion LLM agentic workflows while managing CRO and academic studies.
SPR · GCI · nanoDSF +5
Faculty
Lead the development of novel safety evaluations quantifying AI risks in high-impact domains such as CBRN and Cyber, executing original technical research from concept to publication. Shape the R&D agenda, contribute to client delivery and red-teaming for frontier labs, and engage externally with the global research community and government stakeholders.
Anthropic · GDM · Meta +2
Faculty
Sets technical direction for complex, business-critical AI projects in the defence sector, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while mentoring data scientists and acting as a trusted technical advisor to demanding clients. Requires UK Security Clearance and 2-4 days per week on client sites.
Metaview
Wayve · 11–50 people · Series A
Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving data. Own the pipeline end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.
Python · PyTorch · GPU +1
Latent Labs
Deploys and adapts proprietary generative biology models into pharmaceutical and biotech customer environments, building production-grade API integrations, model-serving infrastructure and ML data pipelines. Combines deep generative-modelling research with customer-facing delivery, fine-tuning models and feeding insights back to research and product teams. Hybrid role with on-site work at international partner locations.
AlphaFold · NeurIPS · ICML +2
