Artificial Intelligence Jobs

• London
• Permanent

Designs, builds and maintains production harm-detection systems using SQL, Python, machine learning and language models, developing signals, classifiers and pipelines on shared engineering platforms. Also owns protection strategy and cross-functional delivery for a harm area or product launch, connecting detection with policy, review, enforcement and measurement, and participates in an on-call rotation.

OpenAI

• London
• Director
• Permanent

Owns a small portfolio of complex enterprise accounts, driving the full sales cycle from pipeline generation to deployment of AI products. Partners with researchers, engineers and solution strategists on customer programs while carrying a consumption revenue target and forecasting. Requires deep technical fluency and executive-level relationship building.

OpenAI

• 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

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• London
• Hybrid · 3 days in office
• £80,000 pa
• Senior
• Permanent

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products at speed. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping systems in scalable APIs and contributing to shared data and entity platforms, with weekly demonstrable output.

Python · TypeScript · SQL

• London
• £37,000 – £40,000 pa
• Entry level

Join a two-year graduate programme in the telecommunications industry, developing and implementing AI and machine learning solutions for network performance, operational efficiency and customer experience. You will work with Python and AI frameworks, analyse large datasets, and collaborate with engineers and data specialists while considering AI ethics and governance.

Python

• Almondsbury
• £80,000 – £130,000 pa
• Mid-level
• Permanent

This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.

• Southampton
• Hybrid
• £70,000 – £92,258 pa
• Lead

Lead the creation of an enterprise-wide AI Accelerator programme, combining technical leadership with programme-level influence. You will prototype with geo foundation models, agentic systems and LLM orchestration, write production-grade code, mentor participants and engage senior stakeholders to embed responsible AI across a geospatial data business.

Geo Foundation Models

• London
• Lead
• Permanent

Serves as a trusted AI advisor to C-suite executives at EMEA's largest enterprise brands, owning go-to-market and business development strategies to drive adoption of Amazon Connect's agentic AI applications. Involves orchestrating cross-functional teams across sales, product, and marketing, and using customer insight to influence product roadmaps.

AWS · Amazon Connect · AWS Applied AI Solutions +1

• London
• Hybrid
• Lead · manages people
• Permanent

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks for high-stakes client engagements. Combines deep research with commercial strategy and thought leadership.

NumPy · Pandas · Inspect AI +1

• London
• On-site
• Senior · manages people
• Permanent

Lead teams of technicians running AWS data centre operations, owning the full infrastructure lifecycle from rack installation and break-fix maintenance to decommissioning. The role spans building new sites, vendor management, health and safety compliance, and adopting high-density GPU, AI accelerator and liquid-cooling technologies, with a focus on automation and operational metrics.

AWS · GPU · AI Accelerator Platforms

• London
• Hybrid
• £70,000 pa
• Mid-level

Joins a Data Science & AI team to identify high-value GenAI use cases and productionise scalable AI services on AWS. Works in a cross-functional squad with DevOps, data engineers and Infosec, enhancing MLOps, CI/CD pipelines and an in-house AI Python library while assessing third-party LLM technologies.

AWS · pandas · scikit-learn +6

• London
• Hybrid
• Lead · manages people
• Permanent

Technical leadership role owning delivery of complex machine learning and Generative AI projects for financial services clients, spanning LLM and agentic AI applications. Sets technical direction for the data science team, mentors and manages data scientists, leads bids and scoping, and acts as an external thought leader publishing and presenting at conferences.

Large Language Models

• United Kingdom
• On-site
• £100,000 – £110,000 pa

Builds and maintains production-grade AI platforms, including RAG pipelines, LLM integrations and vector search, on Microsoft Azure. Owns cloud-native services, Terraform infrastructure-as-code, CI/CD and observability while improving latency and reliability of AI workloads. Works closely with AI, software engineering, DevOps and security teams in a fully onsite Manchester setting.

Microsoft Azure · Azure Data Factory · OpenSearch +2

• London
• Hybrid
• £95,000 – £125,000 pa
• Senior
• Permanent

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Hybrid role in a consultancy, contributing reusable patterns to a wider architecture practice.

Databricks · Delta Lake · Spark +7