455 jobs for “Engineering”
Delivery-focused role embedding physics-aware AI models into customer tools, building reliable ML data pipelines and working with 3D point-cloud and mesh data. Spans data science and software engineering, translating R&D into reusable libraries and products, with regular on-site customer travel.
TensorFlow · MLflow · Spark +6
Builds and deploys machine learning systems for industrial physics challenges, designing reliable data pipelines and working with 3D point-cloud and mesh data. Partners directly with customers on-site to embed AI models into practical tools, translating R&D outputs into reusable libraries and products. Requires Python, cloud, and MLOps experience with frequent travel.
TensorFlow · MLflow · Spark +6
OpenAI
Designs and builds distributed failure detection, tracing, and profiling systems for large-scale AI training workloads, identifying slow or faulty nodes and surfacing performance bottlenecks. Works deep in the stack across collective communication, parallelism, fault tolerance, and observability, collaborating closely with systems, infrastructure, and research teams.
OpenAI
Backend engineering role focused on the systems that keep ChatGPT reliable at scale, spanning shared services, APIs, asynchronous processing and infrastructure migrations. Engineers write production code, own rollout and rollback, and improve monitoring and diagnostics, with on-call and incident response duties. Distinct for its close coupling of infrastructure work to a high-traffic consumer product.
ChatGPT · APIs · Cloud Infrastructure +2
Databricks · 1001–5000 people · Late stage
New-grad engineers join a cohort to build infrastructure and products across backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. You own the full development lifecycle — design, development, testing and production operations — with a dedicated mentor and a focus on reliability, scalability and security.
Databricks · Genie · Lakebase +4
Pre-sales architect acting as a trusted technical advisor to large enterprises, helping them integrate and deploy Claude across their technology stacks. The role spans technical discovery, evaluation frameworks, and scalable architecture design, working closely with Sales, Product, and Engineering teams and occasionally travelling to customer sites.
Claude · Claude API · Claude for Work
Partner with founders and startup engineers as a technical advisor, guiding them from evaluation through deployment of LLM applications on the Claude Developer Platform. You'll run technical evaluations, design architectures, develop evaluation frameworks, and feed emerging use cases back to Product and Engineering, with travel to customer sites and events.
Claude · Claude Developer Platform
Wayve · 11–50 people · Series A
Builds full-stack geospatial services in Python and TypeScript, plus PySpark and Databricks pipelines that enrich fleet data with road-network and mapping information at global scale. Owns route-planning applications, map data preparation for training and simulation, and deployment on Azure and Kubernetes end to end.
Databricks · Mapbox · TomTom +10
Wayve · 11–50 people · Series A
Owns the end-to-end release cycle for AI driving models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.
GitHub · Buildkite · CLI
Databricks · 1001–5000 people · Late stage
Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions such as RAG architectures, agentic systems and AI observability, while mentoring colleagues and influencing the platform's AI roadmap.
Databricks · AWS · Azure +7
Speechmatics
Join the Modelling Team to train large self-supervised and transformer-based speech models, ensuring their deployment into production. The role involves complex R&D, distributed training, inference optimisation, cross-department collaboration and mentoring, with a hybrid pattern of 2-3 office days per week.
GQA · KV-Caching · Flash Attention +2
Reperio Human Capital
Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and applying MLOps, CI/CD and DevSecOps practices within cross-functional teams.
Snowflake · AWS · Linux +2
Relation Therapeutics
Contributes to the design and execution of cellular and biochemical assays, including arrayed CRISPR perturbation screens, cell culture of primary and immortalised lines, and phenotypic readouts such as flow cytometry, RT-qPCR and ELISA. Also handles data analysis, sample tracking, QC, reagent stocks and lab upkeep, working closely with Discovery and computational colleagues in a matrixed TechBio setting.
CRISPR · Flow Cytometry · RT-qPCR +3
Relation Therapeutics
Develop and benchmark machine learning models for DNA sequence, regulatory elements and genetic variation, including variant effect prediction and representation learning. Integrate sequence-derived representations with transcriptomic, epigenomic and perturbational data to uncover disease mechanisms and support target prioritisation, working within the interdisciplinary Rosalind team.
DNA Language Models · Genomic Foundation Models · Transformer +2
Cambridge Consultants
This role involves working on diverse electronics and RF engineering projects across industries such as telecoms, defence, and consumer devices. You'll engage in RF circuit design, simulation, testing, and antenna modelling, contributing to innovative product developments from concept to delivery. Collaboration with multidisciplinary teams and direct client interaction are key aspects of the role.
