Artificial Intelligence Jobs

Darktrace · London

Contributes to projects spanning rapid prototyping and open-ended research into generative AI security, investigating attacker tradecraft such as prompt injection, poisoning and extraction attacks. Acts as a domain expert feeding insights back to product, development and machine learning teams, with coverage in network, endpoint, cloud or Kubernetes.

Darktrace · Cambridge

Owns the prototyping and development of new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints to ship novel features. Works with a cross-functional team of engineers, designers and strategists on projects spanning rapid prototyping to structured platform development, with a focus on defending against unknown cyber-attacks.

Databricks · London

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Designs and maintains high-QPS, low-latency backend systems at massive scale, with technical leadership, mentoring and cross-team project planning.

Databricks · London

Founding backend engineer role building Lakebase, a managed Postgres transactional layer for the lakehouse, across teams covering platform reliability, a central control plane, and a high-throughput network proxy handling Postgres, HTTP, WebSockets and Data API traffic. Work spans distributed systems, at-scale service architecture, observability, SLI/SLO definition and AI-powered automation, with services on AWS S3, GCS and Azure Blob Store.

NVIDIA · Cambridge

Serve as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Work directly with labs and faculty on large language model workloads, integrating frameworks and libraries into research projects. Deliver hands-on training, workshops and lectures, and track emerging research trends to shape prototype solutions.

NVIDIA · Reading

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

CrowdStrike · Ireland

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

CrowdStrike · Redmond, United States · US$140,000 – US$215,000 pa

Owns the product strategy for CrowdStrike Falcon Privileged Access, driving the shift from legacy vaulting to just-in-time, zero-standing-privilege access across endpoints, infrastructure and cloud. Works with designers and other product teams to build frictionless elevation experiences and secure secrets, non-human identities and brokered admin sessions using Falcon telemetry and AI. Hybrid role with at least two days a week in office.

Entrust · London

Owns a core area of the document verification platform, setting strategy and roadmap for identity document checks used in onboarding and account opening. Works with Engineering, AI/ML, Data Science, Design, Growth and Compliance to improve verification accuracy, conversion, operational efficiency and fraud prevention, using experimentation and analytics.

Medtronic · London · £76,800 – £115,200 pa

Designs, benchmarks and optimises deep learning models for computer vision and surgical video understanding, focusing on low-latency inference on edge and cloud devices. Works with ML, platform and embedded engineers on end-to-end video pipelines, using PyTorch, TensorRT and techniques like pruning and quantization. Distinct for its operating-room, safety-critical medical imaging context.

Nordson · Colchester

Lead and unify a globally distributed software engineering organisation across Colchester, Feldkirchen, Bangalore and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in X-ray, acoustic and optical inspection products.

Hunter Selection · Bristol · £85,000 – £100,000 pa

Lead the implementation of AI solutions within a professional services business, taking direct responsibility for end-to-end delivery of AI products. The role blends hands-on engineering (C#, Python, Azure, DevOps/CI-CD) with enterprise agent design, RAG and LLM work, while acting as an internal AI advocate and engaging stakeholders at all levels.

DCV Technologies · Windsor · £550 – £600 pd

Hands-on contract role designing, testing and optimising production-grade LLM prompts for chatbots, voice bots, IVR and messaging channels. Involves building agentic AI workflows with tool calling and multi-step reasoning, implementing RAG and evaluation frameworks, and adding guardrails for privacy, PII and hallucination reduction. Works with engineering, product and CX teams on a major digital transformation programme.

VIQU IT · Cornhill, Greater London · £90,000 – £95,000 pa

Owns the end-to-end architecture of an enterprise AI platform spanning Azure and AWS, covering ML training, model hosting, MLOps and Generative AI. Defines patterns for LLMs, RAG, vector search and agent frameworks, evaluates tooling, and provides technical direction to ML and platform engineers while embedding security, governance and regulatory requirements.

Circle Recruitment · Cardiff · £45,000 – £53,000 pa

Lead the design, development and deployment of AI-powered tools, including automation, RAG and LLM-based workflows, while guiding technical direction and mentoring a small team of engineers. Work with senior stakeholders on secure, scalable, governance-compliant AI systems, using Python, Java or JavaScript/TypeScript with frameworks such as PyTorch and TensorFlow.