Artificial Intelligence Jobs

• United Kingdom
• Remote
• Senior · manages people

Lead a team of data scientists applying machine learning, large language models and reverse engineering to cybersecurity problems at massive scale, handling trillions of events daily. The role blends technical leadership, roadmap and stakeholder management with hands-on work on malware detection, threat analysis and AI-driven security automation.

AWS · Linux

• Spain
• Remote
• Senior · manages people

Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into research objectives and production ML systems. The role combines technical leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.

AWS · Linux

• San Francisco, United States
• Hybrid
• US$150,000 – US$190,000 pa

Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud and HPC infrastructure, and translating R&D outputs into reusable libraries and products.

TensorFlow · MLflow · Spark +6

• New York, United States
• Hybrid
• US$150,000 – US$190,000 pa
• Mid-level

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

TensorFlow · MLflow · Spark +6

• Barcelona, Spain

Design, train and deploy reinforcement-learning controllers for robots operating in complex, unstructured real-world environments, owning the full pipeline from physics-based simulation to hardware deployment. Work spans sim-to-real transfer, domain randomisation, vision-based perception and sensor fusion, combining learned policies with classical control under tight hardware constraints.

MuJoCo · Isaac Gym · Isaac Lab +5

• London
• Senior

Forward-deployed full-stack engineer who partners directly with public sector clients to turn ambiguous mission requirements into production-grade AI applications. Leads architecture across React, Node.js, Python, Kubernetes and global cloud infrastructure, mentoring staff and shaping reusable platform patterns. Founding-member role on Scale's Global Public Sector team.

Python · Node.js · React +4

• London
• Hybrid
• Mid-level
• Permanent

Customer-facing engineering role deploying frontier generative biology models into pharma and biotech environments, owning the full lifecycle from technical scoping to production delivery. Involves building API integrations, data pipelines and model-serving infrastructure on AWS with Docker and Kubernetes, plus on-site work with international partners.

AWS · GCP · Azure +2

• London
• Senior

Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.

PyTorch · JAX · TensorFlow +5

• Lausanne, Switzerland
• Hybrid · 3 days in office
• Senior
• Permanent

Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI-specific risk frameworks, protect model artifacts, deploy LLM and agentic guardrails, and lead AI security incident response across distributed training and inference infrastructure.

JAX · PyTorch · TensorFlow +6

• Welwyn Garden City
• Hybrid · 2–3 days in office
• £700 – £850 pd
• Lead · manages people

Hands-on technical lead owning the AI function end to end, designing and building LLM-based agents, assistants and agentified dashboards over enterprise data. Sets reusable patterns and standards, works with Quality & Compliance on GxP validation, and mentors engineers while partnering with IT, security and data governance teams.

FastAPI · Pydantic · asyncio +7

• Brentford
• Hybrid
• £70,000 – £95,000 pa
• Senior
• Permanent

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

• Welwyn
• Senior

Leads the design and development of production-grade AI agents, assistants and dashboards that move teams from manual processes to AI-enabled systems. Works with LLMs, RAG and multi-agent frameworks in Python and R, partnering with IT, architecture, data governance and compliance to keep regulated use cases secure, traceable and validated. Also sets coding standards and mentors engineers.

FastAPI · Pydantic · asyncio +7

• United Kingdom
• Remote
• Mid-level

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. High visibility with senior leadership in a strategic deep learning and HPC area.

NVIDIA GPU · CSP

• Cambridge
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components for end-to-end inference. Involves mapping large-scale neural network workloads onto future hardware, working with LLVM/MLIR, and collaborating with hardware architects on codesign. Hybrid role based in Cambridge.

LLVM · MLIR · TensorFlow +3

• London
• Senior

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

PyTorch · TensorFlow · scikit-learn +1