455 jobs for “Engineering”
Partners with engineering teams to embed security into CI/CD pipelines, lead threat modeling and secure design reviews for web apps, APIs and cloud services, and run the product vulnerability lifecycle. Also drives secure coding standards, delivers hands-on training, and engages with customers during security reviews.
GitHub · GitLab · Semgrep +3
Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Works directly with customers on-site, leads scoping and architecture, and mentors engineers and data scientists. Tech stack includes Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow.
Python · PyTorch · Pandas +5
OpenAI
Builds and operates shared multi-cloud compute platforms behind ChatGPT and the OpenAI API, spanning Kubernetes cluster lifecycle, upgrades, patching and compliance. Develops reusable platform tooling, infrastructure automation, capacity management and autoscaling, with end-to-end production ownership and on-call incident response.
Kubernetes · AWS · Azure +2
OpenAI
Conducts research on safety post-training methods such as RLHF, RLAIF, DPO, PPO, reward modeling, adversarial training and synthetic data, then builds evaluations for harms like jailbreaks, hallucination and unsafe tool use. Highly cross-functional, partnering with core training, product, policy, legal and trust and safety teams to ship safety improvements into production models.
OpenAI
Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, blending research and engineering in a highly collaborative environment.
PyTorch · Kubernetes · GPUs +1
Own critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full stack. The role splits roughly 50/50 between research and engineering, with on-call incident response during model launches and close collaboration with teams in SF and London.
JAX · TPU · PyTorch +3
Databricks · 1001–5000 people · Late stage
Customer-facing, billable engineering role embedding with clients to design, build and productionize end-to-end data and AI systems on the Databricks platform. You own architecture and design decisions across data engineering, ML/AI model integration and application development, working alongside project managers, architects and customer teams, with around 20% travel.
Databricks · AWS · Azure +5
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
Wayve · 11–50 people · Series A
Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.
Harness · Airflow · Dagster +7
Databricks · 1001–5000 people · Late stage
Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning.
Delta Lake · Databricks · Apache Iceberg +2
Relation Therapeutics
Builds generative and predictive models of cellular behaviour from high-content imaging, curating cell painting and brightfield datasets and designing evaluation that separates biological signal from technical artefact. Partners closely with ML scientists and wet lab assay teams, linking imaging readouts to single-cell and perturbation data in a matrixed TechBio environment.
NumPy · pandas · Polars +6
Cambridge Consultants
Senior technical authority architecting algorithmic solutions for intelligent systems, spanning machine learning, applied statistics and sensor processing. Leads complex defence and security projects, sets technical direction, mentors engineers and shapes proposals with clients. Hybrid working, though some projects require full-time office presence.
Reinforcement Learning · Machine Vision · Edge Computing +1
Cortech Talent Solutions
Hands-on full stack role building and maintaining web applications and backend services for a digital platform, working across Python services and React/TypeScript interfaces. You report to the Head of Software in a small team, collaborating with front end developers and supporting the AI/ML and IoT systems the platform depends on, with work reaching production quickly.
Python · React · TypeScript +7
NVIDIA · Public
Designs, builds and operates scalable multi-tenant SDN control and data plane software (OVS, OVN, OpenFlow) for NVIDIA's AI Clouds hosting GPU-accelerated workloads. Spans the full lifecycle from gRPC/REST network orchestration and upstream OVN-Kubernetes contributions to observability, GitLab CI/CD and production reliability engineering alongside SRE, DevOps and network teams.
OVS · OVN · OpenFlow +7
Cambridge Consultants
Graduate role working on client assignments across embedded systems, spanning analogue and digital hardware, FPGA design, PCB layout and embedded software in C, C++ or Rust. You'll join a multi-disciplinary team, interact directly with clients through requirements capture to handover, and work on projects from consumer devices to defence and national security.
SystemVerilog · FPGA · LEGO
