Artificial Intelligence Jobs

• 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
• Senior

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.

AWS S3 · GCS · Azure Blob Storage +6

• 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.

• New York, United States
• Hybrid
• US$90,000 – US$130,000 pa
• Mid-level

Customer-facing role owning the full customer journey for physics AI solutions, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists, running account rhythms, tracking adoption and building AI-enabled tooling for account operations.

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Lead

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 engineering and physics challenges into product opportunities, tracking engagement and growing strategic accounts.

• London
• Hybrid
• Senior

Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• London
• Hybrid
• Permanent

Builds and optimizes the large-scale compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers work across the stack, profiling training workloads, improving NCCL and collective communication, and creating tooling that makes heterogeneous clusters reliable and usable.

Kubernetes · NCCL · RDMA +3

• London
• Hybrid · 1 day in office
• £75,000 – £90,000 pa
• Senior

Hands-on engineering role building AI-powered Salesforce solutions for enterprise clients, spanning Agentforce, Einstein AI, Apex, LWC, Flow and APIs. Involves prompt engineering, RAG, Data Cloud integration and event-driven architecture, working directly with client teams from design to deployment. Distinct from configuration work, with mentoring of junior engineers and SC clearance required.

Salesforce · Agentforce · Einstein AI +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

• London
• Mid-level
• Permanent

Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training workloads, identifying slow or faulty nodes and surfacing performance bottlenecks. Work deep in the stack across collective communication, parallelism, fault tolerance, and observability, collaborating with systems, infrastructure, and research teams to evolve the training platform.

• Hatfield
• Hybrid

Hands-on technical role taking ownership of the Amazon Connect platform, its customer and agent portals, and the API and data integrations linking it to wider operations. You'll lead the in-house transition from a third-party partner, managing AWS environments, contact flows, IAM, Kinesis data flows and AI-assisted development of the codebase.

Amazon Connect · AWS · Lambda +7

• Brentford
• £75,000 – £100,000 pa

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

• London
• Hybrid
• £195,000 – £245,000 pa
• Senior

Conducts empirical research on AI's economic effects, building and extending the Anthropic Economic Index with regionally-specific analysis. Develops novel measurement methodologies using econometrics, machine learning, and structural estimation, and translates findings into policy recommendations while building relationships with academic, government, and industry partners.

Claude

• London
• On-site
• £70,000 – £100,000 pa
• Permanent

Own full-stack product features from scoping through deployment, spanning frontend, backend, APIs, databases and AI-powered workflows. Work directly with founders, designers and customers at an AI startup building financial crime automation for financial institutions, integrating LLMs and agent-based solutions.

LLMs