Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Sits in a six-person Coach & Instructor Enablement team supporting hundreds of coaches and instructors across all learner programmes. Coordinates onboarding and ongoing training logistics, owns enablement projects end to end, manages a shared senior coach pool, and keeps the content library and reporting in order.

Claude · Copilot

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Owns the end-to-end journey for a portfolio of Enterprise accounts, from sales handover through launch, adoption and renewal. Builds multi-threaded relationships across HR and executive sponsors, runs Mutual Action Plans and Executive Business Reviews, and correlates learner data with client KPIs to prove ROI and drive expansion.

Salesforce · Claude · Copilot

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Owns the end-to-end post-sale journey for a portfolio of Enterprise accounts, from sales handover through launch, adoption and renewal. Builds 12-month mutual action plans, runs executive business reviews and turns learner and delivery data into ROI and expansion cases, working across Fulfilment, Product and Support teams with Salesforce as the source of truth.

Salesforce · Claude · Copilot

• London
• Hybrid
• Permanent

Customer-facing technical role helping organisations evaluate, build, deploy and adopt AI technology. Work spans architecture, integrations, data, security and evaluation, plus demos, prototypes and production solutions, alongside Sales, Product, Research and Engineering. This is a general expression of interest talent pool rather than a specific vacancy.

OpenAI

• London
• Hybrid
• Mid-level
• Permanent

Deploys, integrates and optimises AI-driven security technology across network, cloud, OT and email environments for post-sales customers. Handles deployment projects against SLOs, resolves support tickets and acts as a trusted advisor on security infrastructure design, liaising with sales, customer success and operations.

AWS · Microsoft · Cisco +2

• Cranfield
• £21,805 pa
• Entry level
• Contract

A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work spans AI and telecoms, with cross-university FTH training and exposure to defence, government and infrastructure stakeholders, aiming to shape 6G network design.

AI-on-RAN · 6G

• London
• Lead

Security lead for an AI engineering team's products and platform, owning design reviews, threat modelling, and sign-off authority for new features. Secures LLM-powered capabilities against prompt injection and data leakage, drives CVE remediation, maintains SAST/SCA/IaC scanning in CI/CD, runs pen testing, and leads incident response across Azure and GCP.

Azure · GCP · GitHub Actions +7

• London

Builds the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the model or combination that best fits its constraints. Owns inference engines such as vLLM and SGLang and serving platforms such as KServe, including packaging, deployment, health checks, upgrades and rollback, plus GPU autoscaling, batching, caching and quantisation tuning. Sets technical direction for air-gapped serving and cost, quality and latency-aware routing.

vLLM · SGLang · KServe +5

• Singapore

First technical responder for enterprise customers and internal platform users, owning issues from triage and first-pass investigation through resolution or high-quality escalation. Debugs inside Kubernetes clusters using Linux, Helm, GitOps (Argo CD) and cloud fundamentals, working across SaaS, VPC and air-gapped deployments while writing runbooks and shaping a new support function.

Kubernetes · EKS · AKS +7

• Singapore
• Mid-level

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

• Singapore
• Hybrid
• Lead

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics challenges into mathematical formulations and training deep learning models on large datasets. You will own research workstreams, run experiments, and communicate results to customers and at publication venues, with a focus on operator learning, geometric deep learning, or generative models for geometry and spatiotemporal data.

NumPy · SciPy · Pandas +2

• Singapore
• Senior

Builds and applies advanced thermal, chemical and multiphase CAE models in Abaqus, ANSYS or COMSOL, coupling heat transfer with fluid, diffusion and electrostatic phenomena. Works directly with customers, often on-site, instrumenting physical processes to generate validation data and integrating models into AI tools. Combines shop-floor manufacturing experience with Python/Java automation and parametric CAD.

Abaqus · ANSYS Mechanical · ANSYS Fluent +4

• London
• On-site
• £60,000 – £80,000 pa
• Senior
• Permanent

As a Solutions Architect, you will design and deliver cloud-native, AI-driven digital services that directly impact UK residents. You will work in multidisciplinary teams, focusing on scalable, secure, and user-centred solutions while championing the adoption of AI and modern architecture patterns.

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for clients across government, finance, retail and defence. The role spans building and deploying ML software and infrastructure, defining deployment standards, and leading technical scoping and architecture decisions while advising non-technical stakeholders.

Scikit-learn · TensorFlow · PyTorch +5

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Designs and delivers bespoke data science solutions for client projects, mapping end-to-end approaches and software architecture while acting as a technical advisor. Sets the technical bar for project teams through IC leadership, building scalable algorithms in Python with deep-learning frameworks. Involves technical scoping, feasibility assessment and translating complex problems into measurable models.

Python · NumPy · Pandas +3