Jobs in Stoke-on-trent

Spotlight

Senior Computational Chemist, LNP Design

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

CureAge Therapeutics London

Hybrid Permanent Part-time

Data Engineer

Owns the full lifecycle of data-rich tools, services and web applications, building scalable ingestion, processing and cleaning pipelines for structured and unstructured materials-science data. Develops Python APIs and UIs for querying, exporting and visualising data, with orchestration, governance and containerised deployment using Docker and Kubernetes.

CuspAI Cambridge

Hybrid Permanent

MLFF Distillation & GCMC Integration

Develop fast, accurate machine learning force fields distilled into lightweight student potentials for high-throughput Monte Carlo simulation, then integrate them into the in-house kUPS framework. The role involves curating training datasets, running validation campaigns against classical force-field baselines, and profiling the MC inner loop for throughput. Embedded in the chemistry team, with a publication on MLFF-driven GCMC for MOF screening.

CuspAI Cambridge

Hybrid Permanent

Performance Engineer

Bridges frontier AI models and high-performance computing infrastructure by profiling large-scale training runs to improve Model FLOP Utilization and remove bottlenecks. Builds observability dashboards, optimizes NVIDIA GPU kernels and NCCL communication, and applies quantization, pruning and distillation to cut inference latency. Works closely with AI researchers and the infrastructure team on future cluster design.

CuspAI Cambridge

Hybrid Permanent

Materials Knowledge Architect

Owns the design of scientific data representations, schemas and ingestion pipelines that turn heterogeneous external materials data into ML-ready assets. Works with AI researchers and materials scientists to harmonise experimental and computational data from partners, defining quality, validation, lineage and provenance frameworks.

CuspAI Cambridge

Hybrid Permanent

Security Engineer

Early security hire building automated security pipelines and AI-specific guardrails to protect frontier models, training data and proprietary IP. The role spans securing the ML lifecycle against prompt injection and data poisoning, embedding DevSecOps checks into CI/CD, and hardening cloud and Kubernetes environments with least-privilege IAM.

CuspAI Cambridge

Hybrid Permanent

Platform Engineer

Builds and maintains a cloud-native ML infrastructure platform on Kubernetes, owning CI/CD pipelines, model registries, experiment tracking and deployment automation. Scales distributed GPU training for JAX and PyTorch workloads, manages multi-environment configs with Kapitan and Terraform, and drives platform reliability and cloud cost optimisation for research teams.

CuspAI Cambridge

Hybrid Permanent

Scientific Product Manager

Owns a set of partner labs and their integration onto an AI materials-discovery platform, translating experimental workflows, instruments and LIMS/ELN data into engineering requirements. Leads technical discovery and onboarding through to first closed-loop campaigns, and works with ML researchers on Bayesian optimisation campaigns that respect real lab constraints.

CuspAI Cambridge

Hybrid Permanent

Labs Ecosystem Manager

Builds and grows a global network of partner laboratories that synthesise materials designed with the company's AI platform, working with the Lab Integration team to enable automated, closed-loop discovery workflows. Acts as the operational bridge between partnership, science and AI research teams across Europe, the USA and APAC, and channels lab feedback into platform development priorities.

CuspAI Cambridge

Hybrid Permanent

Application Scientist

Owns scientific delivery of partner projects from scoping to results, acting as a key technical contact alongside programme managers. Applies simulation, machine learning, data-driven optimisation or experiments to design and steer discovery campaigns, and translates between experimental, computational and ML teams. Also builds cross-cutting capabilities such as validated workflows, harmonised data pipelines and agentic design campaigns.

CuspAI Cambridge

Hybrid Permanent

Research Engineer (Materials Foundation Models)

Trains and evaluates multi-modal foundation models for a materials discovery platform, spanning crystal structures, properties, text and images. Owns a model end to end, from data curation and experiment design through large-scale distributed training to integration, working closely with chemists and materials scientists.

CuspAI Cambridge

Hybrid Permanent

Applied AI/ML Engineer (Agents)

Designs and builds agentic frameworks that orchestrate closed-loop scientific workflows, connecting agents to ML models, simulation engines and databases. Applies Bayesian optimization and active learning for experimental design, and builds evaluations for agent planning and decision-making. Works closely with chemists and materials scientists on customer projects.

CuspAI Cambridge

Hybrid Permanent

Technical Program Manager (Science)

Bridges frontier AI research and the physical realisation of next-generation materials, leading internal technical programs across AI/ML model development, data workflows and ML infrastructure. Also manages external partner and customer projects, from scoping and proposals through to deployment, while refining scalable processes and metrics for the global TPM team.

CuspAI Cambridge

Hybrid Permanent