Artificial Intelligence Jobs

Databricks · London

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.

NVIDIA · Spain

Define and lead the AI inference strategy for EMEA AI-native customers, guiding engagements from proof of concept to production-scale deployments. Architect and optimise high-performance inference pipelines using NVIDIA Dynamo, TensorRT-LLM, vLLM and SGLang, tackling latency, cost per token, memory and networking bottlenecks while feeding deployment insights back into the product roadmap.

NVIDIA · United Kingdom

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.

Databricks · London

Customer-facing role building and productionising data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from engineers to executives, delivering production-grade reference architectures and reusable accelerators, with around 20% travel.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

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.

PhysicsX · New York, United States · US$200,000 – US$250,000 pa

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture design, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter to embed AI models on-site.

eFinancialCareers · London

Owns the Trade Lifecycle Operational Flow, designing structured lifecycle events, a canonical operational schema and straight-through processing to eliminate manual post-trade adjustments. Drives the engineering backlog from MVP to production, partners with Trade Capture and Digital Channels squads, and embeds AI agents as first-class participants in hybrid engineering teams.

eFinancialCareers · London

Owns the target-state architecture, product strategy and roadmap for a greenfield rebuild of the post-trade lifecycle, replacing fragmented manual batch processes with structured lifecycle events, canonical data models and automated controls. Partners with trading, operations and technology to deliver real-time straight-through processing, embedding AI agents and LLM-powered workflows for automated decisioning and exception management. Leads cross-functional engineering, operations and data teams in an ambiguous, high-stakes environment.

Avanti Recruitment · Saint Peters, Australia · £80,000 – £100,000 pa

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.

DCV Technologies · United Kingdom · £500 – £675 pd

Hands-on change management and adoption role supporting a global technology client's Copilot and Microsoft 365 rollout. You'll facilitate training and office hours, develop persona-based scenarios, coach change agents and champions, track adoption metrics, and contribute to backlog refinement and sprint planning alongside the ACSM Architect and customer stakeholders.

Ocado · United States

Designs and sizes Autonomous Mobile Robot solutions for warehouse automation, using industrial engineering, simulation and tools like Sketchup and AutoCAD. Partners with sales on client site visits, blueprinting and C-level presentations, and works with product and engineering teams on software design documents and integrations.

Amazon · London

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS UK offices when not at customer sites.

Profile 29 · London · £55,000 – £75,000 pa

Client-facing role advising public sector organisations on workflow and orchestration technology, helping navigate the vendor market and supporting early engagement and business development. You'll act as a solutions architect or engineer across delivery, with exposure to agentic AI and orchestration products. Requires SC and DV clearance eligibility.

Be-IT Resourcing Ltd · United Kingdom · £90,000 – £100,000 pa

Technical leadership role shaping a SaaS product from first design conversation through to production code, moving between hands-on delivery and architectural decision-making. Works across a modern JavaScript/TypeScript stack with daily deployments, championing AI-assisted development where most code is agent generated, and leading a new Scottish engineering chapter.

Anthropic · London · £325,000 – £390,000 pa

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, databases and observability tooling, partnering with research and product teams while mentoring engineers and shaping incident response and on-call practices.