Artificial Intelligence Jobs

• United Kingdom
• Remote
• Mid-level · manages people

Lead incident response engagements, hunting adversaries across large data sets and conducting intrusion investigations under outside counsel. Perform host, network and cloud forensics across Windows, Mac and Linux, plus basic malware analysis, and deliver findings to executives, regulators and legal teams.

CrowdStrike · AWS · Azure +6

• United Kingdom
• Remote
• Entry level

Delivers integration and advisory services for Falcon Next-Gen SIEM, guiding customers through log management, XDR and SOAR use cases while acting as a trusted technical advisor. Partners with Falcon engineers and product management to operationalize the platform and feed customer requirements back into product enhancements.

CrowdStrike Falcon · Falcon Next-Gen SIEM · Falcon LogScale +7

• London
• Hybrid
• £325,000 – £485,000 pa
• Lead

Sets technical direction for agent-driven compute cluster lifecycle management, covering provisioning, updates and decommissioning across major clouds and own datacenters. Partners with security, research and cloud providers on secure-by-default, high-bandwidth clusters, scalability and fault tolerance, while mentoring engineers and shaping incident response and on-call practices.

Kubernetes · Terraform · AWS +7

• London
• Hybrid
• £325,000 – £390,000 pa
• Lead

Builds and operates large-scale CI infrastructure supporting thousands of daily builds across multiple cloud providers, including intelligent test selection, merge queue management, and incident response automation. Works within the Developer Productivity org on Kubernetes-based test infrastructure, flake detection, and developer tooling for a monorepo.

Buildkite · Jenkins · GitHub Actions +2

• Switzerland
• Remote
• Senior

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

CUDA · DALI · nvImageCodec +1

• Reading
• Senior

Technical account manager role focused on a small set of strategic software companies, driving integration of NVIDIA's AI platform, open models, SDKs and NIMs into partner products. Involves hands-on work with agentic AI systems and GPU-accelerated computing, plus developer advocacy, ecosystem mapping and representing NVIDIA at industry events.

NVIDIA · NIMs · SDKs

• Cardiff
• Hybrid · 3 days in office
• £70,000 – £80,000 pa
• Senior

Hands-on role designing and building AI-enabled applications, working with LLMs, RAG, AI agents and orchestration, and taking solutions from proof-of-concept into production. You'll establish CI/CD, engineering standards, guardrails, observability and governance, and influence architecture while integrating AI with enterprise systems and data alongside internal teams and external partners.

AWS · Amazon Bedrock

• London
• On-site
• Mid-level
• Permanent

Develops novel safety mitigations for frontier AI models, applying techniques from interpretability, control and alignment to keep deployed systems safe. Builds and refines risk evaluations, designs red-teaming pipelines, and sets research directions while partnering with experts in misalignment, cybersecurity and biology.

• Manchester
• Senior

Lead the design and delivery of AI, machine learning, agentic AI and RAG-based solutions for a financial consultancy's client engagements. Build production-grade models with Python and PyTorch, design MLOps frameworks, CI/CD pipelines and cloud-native model serving, while mentoring engineers and shaping technical strategy.

PyTorch · GCP · Docker +4

• West Yorkshire
• On-site
• £170,000 – £180,000 pa
• Director · manages people
• Permanent

A senior leadership role owning the data and AI strategy, roadmap and technical direction across the organisation. Day to day it spans hands-on work with generative AI, LLMs, RAG and agentic architectures, MLOps and data platform governance, plus building and leading a high-performing Data & AI team and partnering with Product, Engineering, Architecture and Security to scale prototypes into production.

Azure

• Singapore
• Lead · manages people

Lead technical delivery of physics-informed AI, architecting deep learning models and optimisation methods to predict and control physical systems. Own data pipelines and pre-processing best practices while mentoring a team and collaborating with simulation engineers and customers. Involves frequent on-site customer travel across multiple regions.

NumPy · SciPy · Pandas +2

• Bristol
• Hybrid · 2 days in office
• £450 – £480 pd
• Senior
• Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Involves production deployment, MLOps pipelines, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

TensorFlow · PyTorch · OpenAI +5

• London
• Remote
• Lead
• Permanent

Hands-on principal IC role owning the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability and GPU/cloud resource efficiency. Distinct for its systems-generalist framing rather than pure ML engineering.

Kubernetes · Terraform · Datadog +4

• United Kingdom
• Remote
• Permanent

Builds the systems behind a managed AI audio production service, owning one of three areas: a human data labelling and evaluation platform, the backend engine running production workflows, or a Rust-based professional editor platform. Work is mostly hands-on building of internal tools and core infrastructure, with scope to lead projects and little hand-holding.

Rust

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2