Artificial Intelligence Jobs

• Germany
• Remote
• Senior

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely with analysts as internal customers, choosing your own tech stack across Go, Python, SQL/NoSQL and cloud.

AWS · GCP · EC2 +5

• Ireland
• Remote
• Senior

Builds and operates large-scale distributed data pipelines, storage and presentation layers for the Intelligence team, owning systems from design and prototyping through production operations. Works autonomously with internal analyst customers, choosing the tech stack and maintaining both new and legacy Go and Python services.

AWS · GCP · EC2 +5

• Romania
• Remote
• Senior

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design through prototyping, implementation and production operations. Works autonomously on a distributed remote team, gathering requirements from analysts and choosing the technology stack, with existing Go and Python codebases to maintain.

AWS · GCP · EC2 +3

• United Kingdom
• Remote
• Senior

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely with analysts as internal customers, choosing your own tech stack across Go, Python, SQL/NoSQL and cloud.

AWS · GCP · EC2 +5

• Hatfield
• Hybrid
• Entry level
• Temporary

Two-year rotational graduate scheme with four six-month placements across areas such as bot software and hardware, eCommerce, fulfilment and data. Graduates work in teams on robotics, low-latency control systems, ML and warehouse simulation, building a broad view of the business before moving into a long-term role.

Ocado Smart Platform

• London
• Hybrid
• Lead

Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so Client Success teams can deliver value. Defines propositions and frameworks across products and tools, connects stakeholder needs to business priorities, and champions adoption of AI and emerging technologies.

• London
• Hybrid
• Lead
• Permanent

Owns the Customer Intelligence proposition across EMEA from within the Product team, shaping positioning, messaging and target segments while feeding market insight into the global roadmap. Acts as the region's senior expert, guiding sales opportunities and client programmes for major banks, insurers and public sector bodies, and building market voice through thought leadership, analyst briefings and industry events. Works closely with Marketing, Sales, Alliances and R&D to grow the partner ecosystem and keep the solution ahead of the market.

• London
• On-site
• £150,000 – £175,000 pa
• Senior

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.

LangGraph · LangChain · FastAPI +7

• London
• Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Financial Crime Key Risk Indicators and management information. Builds and maintains MI dashboards, automated data pipelines and analytics using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering teams on root-cause analysis and remediation. Also owns the Financial Crime data and analytics roadmap and presents risk-tolerance performance at governance forums.

Power BI · Tableau · AWS +2

• United Kingdom
• Remote
• £400 – £500 pd
• Contract

Multiple contract roles spanning data, ML and AI platform engineering, from hands-on specialists to technical leads. Work covers architecture, engineering, governance, security, reliability and operations on a large-scale modern environment, using Python, SQL, Go, DataHub, Trino/Starburst, JupyterHub, OpenSearch, Entra ID/OIDC, FluxCD/Argo CD and Helm. Remote and global, with rates negotiable by experience and location.

DataHub · Trino · Starburst +9

• London
• Hybrid
• £550 – £650 pd
• Lead
• Contract

Lead a London specialty insurer's first AI initiative from a blank slate, identifying and prioritising use cases such as broker submissions, document processing and claims data. Shape the data, tooling and governance foundations, then build and ship production solutions using LLMs, RAG and cloud AI services. The role also involves explaining work to senior stakeholders and handing over to the in-house team.

Azure · AWS · GCP

• London
• On-site
• £50,000 – £60,000 pa
• Mid-level
• Permanent

Design and evolve production multi-agent systems using Anthropic, OpenAI and Perplexity models on AWS, extending the company's MCP server with new tools. Build the eval and observability layer with golden datasets, regression suites and LLM-as-judge, own AWS infrastructure (ECS Fargate, Lambda, Step Functions, Bedrock) and guard against prompt injection and PII leakage. Set technical direction and mentor engineers.

Anthropic · OpenAI · Perplexity +7

• Athlone, Ireland
• £69,059 – £86,324 pa
• Lead

Defines the technical strategy and architecture for AI-enabled Fixed Network solutions, leading delivery of Generative AI, Agentic AI and network automation to modernise OSS platforms. The role combines hands-on work with GCP, Python, Kubernetes and microservices with leadership of complex multi-vendor technical programmes in a telecoms environment.

GCP · Python · Kubernetes +4

• London
• Hybrid · 3 days in office
• £90,000 – £95,000 pa
• Senior

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.

Azure · AWS · Azure ML +4

• Cambridge
• Hybrid · 3 days in office
• Entry level
• Internship

An 8-week internship embedded in a software engineering team, working alongside and mentored by an engineer from day one. Interns contribute to real engineering work at a fast-paced AI company, with a MacBook Pro and extra computing resources provided. Requires at least three days a week on-site in Cambridge, with up to two days remote.

MacBook Pro