238 jobs for “Advanced Industries”
Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.
Customer-facing role owning the full journey from onboarding and change management to roadmap planning and contract preparation, working alongside simulation, software, ML engineers and data scientists. Translates complex engineering and physics challenges into product opportunities, tracks engagement and grows strategic accounts. Hybrid, based in NYC or the Bay Area.
ARM · 11–50 people · Bootstrapped
Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI. Own the platform roadmap, MLOps/LLMOps practices, CI/CD and IaC standards, and Azure-based infrastructure, while mentoring engineers and acting as senior escalation point. Hands-on leadership role combining coding with technical strategy and architecture decisions.
Azure · AWS · Terraform +4
Isomorphic Labs · 201–500 people · Series A
Lead translational pharmacology for an AI-first drug discovery team, shaping neurodegeneration strategy and target validation. Design screening cascades, profile AI-designed molecules, and manage CRO studies while bridging computational and experimental biology.
SPR · TR-FRET · Mass Spectrometry
Isomorphic Labs · 201–500 people · Series A
Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, working with small molecule and biologics platforms. Designs screening cascades, authors and defends regulatory toxicology sections, and manages CRO relationships for outsourced wet-lab work. Also guides development of an AI predictive toxicology platform with ML researchers.
AI/ML
AI Security Institute · 501–1000 people · Public
The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI systems, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. Findings are shared with frontier AI companies, UK officials and allied governments to inform deployment and policy. The role is open to research engineers and scientists at all seniority levels, with appointment conditional on obtaining UK Government Developed Vetting clearance.
AI Security Institute · 501–1000 people · Public
Senior individual contributor building the shared platform, tooling and infrastructure for an interdisciplinary chem-bio research team, including LLM-based agent systems and evaluation frameworks. Works closely with researchers to translate varied needs into maintainable Python systems, while contributing to engineering standards and mentoring peers without line management.
AWS · Kubernetes · Slurm +2
Hexwired Recruitment Limited
Develops and deploys computer vision models using CNNs, Vision Transformers and deep learning, translating research into production-ready software and scalable ML pipelines. Works with Python and PyTorch (TensorFlow advantageous) alongside engineers and researchers on AI for defence and high-performance applications, covering model evaluation, tuning, testing and CI/CD.
PyTorch · TensorFlow · Linux +1
Avencia Consulting
Hands-on data science role building a dedicated Claims Analytics capability for an international insurer. You will develop statistical and machine learning models for claims forecasting, triage, severity, recoveries and resource planning, working with structured and unstructured claims data alongside Claims, Underwriting, Actuarial and Technology teams.
Engineer the future of defence and securityThis team is motivated by saving lives in war affected regions and on the battlefield. They believe that by combining advanced technologies from different sectors they can fundamentally change the effectiveness of those we…
Ocado · 501–1000 people · Public
First-line response for engineering faults in an automated Customer Fulfilment Centre, diagnosing and resolving issues that impact performance. Carries out planned servicing and repairs on robotics, AI and IoT-driven equipment, plus proactive reliability improvement projects. Works 12-hour shifts across days, nights and weekends to support a 24/7 operation.
Ocado Smart Platform
University of Oxford
Develops and validates machine-learning models on large-scale multimodal NHS clinical data, including electronic health records, genomics, imaging and digital pathology. Builds reproducible pipelines for heterogeneous longitudinal data within secure environments, working with clinicians, pathologists and engineers on disease progression and treatment response prediction.
NHS Data · Electronic Health Records · Secure Data Environment +2
Ocado · 501–1000 people · Public
Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at height, and initial training travel to other sites in North America and/or the UK.
Computerized Maintenance Management Systems · G-Suite · MS Office
NVIDIA · Public
Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware, software and programming models.
CUDA · OpenACC · OpenMP +4
KO2 Embedded Recruitment Solutions
Designs and builds real-time embedded software in C and C++ for microelectronics and sensors, alongside data pipelines and machine learning systems. The role covers CI/CD for ML, model versioning and drift monitoring, generative AI and LLM work including RAG and fine-tuning, plus ETL/ELT pipelines and IoT data services. Joins a small team owning the full SDLC from clean-sheet design to live deployment.
Spark · dbt · CI/CD +1
