Artificial Intelligence Jobs

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working directly with application developers and collaborating with architecture, research, libraries, tools and system software teams.

Randstad Technologies Recruitment · London · £432 – £484 pd

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role blends Python/Java engineering, AWS and Azure cloud pipelines with Airflow orchestration, plus roughly 20-25% frontend work on guardrail interfaces, alongside production support and ML evaluation metrics.

DCV Technologies · Manchester · £550 – £600 pd

Contract role building and deploying production AI/ML systems, with hands-on work in Python, PyTorch and Google Cloud Platform. The engineer develops Generative AI solutions using transformer architectures, RAG and agent frameworks like ReAct, then packages and serves models via Docker, KServe and Vertex AI endpoints. Responsibilities also cover MLOps practices such as CI/CD pipelines, model registries, monitoring, drift detection and GPU cost optimisation.

Back TO Work · Nottingham · £26,500 pa

An apprenticeship supporting a manufacturing firm's IT and security team, monitoring production networks for unusual activity, responding to alerts, managing user accounts and access permissions, and helping maintain security standards across office and factory systems. The role blends cybersecurity with AI, using AI-powered tools for anomaly detection, automation and reporting dashboards, while learning to protect operational technology and connected devices.

University of Oxford · Oxford · £39,424 – £47,779 pa

Develops novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, covering areas such as genomic language models, multimodal and federated learning, and multi-ancestry methods. Builds scalable, reproducible research software applied to biobank-scale datasets, evaluates statistical and predictive performance, publishes findings and guides junior researchers in the Palamara Group.

Adecco · London · £700 – £800 pd

Drives enterprise-wide AI adoption within an EMEA Data Management Office, bridging business needs and AI capabilities. Develops use cases, playbooks and prompt libraries, runs training and champion networks, and tracks adoption, value and ROI. Hybrid role in London, three days per week on site.

Scale AI · United Kingdom

Fellows design domain-specific problems and datasets to evaluate generative AI models, then provide expert insight to improve their accuracy and reasoning. Work is project-based with partnered AI labs, including co-authoring technical reports and research papers with Scale's research team. Fully remote, flexible 10-40 hour weeks within an interdisciplinary network.

Multiverse · London

Deliver technical AI content across the AI for Business Value and AI-Powered Productivity programmes, facilitating workshops and drop-in sessions for apprentices. Moderate assignments, provide feedback, and coordinate with coaches and operations to track learner progress. Requires applying AI in business contexts and explaining complex concepts to varied audiences.

University of Essex · Ipswich · £40,000 – £45,000 pa

A KTP Associate role embedded at Distag QCS in Ipswich, working with a large, messy ERP dataset never designed for machine learning. The post holder shapes the data, builds reliable models, and leads the introduction of data-driven decision making in a business with no existing in-house data science capability. It blends hands-on Python development with change management, communication and academic paper contributions.

ECM Selection · London · £46,000 – £52,000 pa

Join a national security team building robust AI agents and realistic training environments to defend critical infrastructure from cyber threats. Day-to-day work spans realistic network simulation environments, novel agent architectures, and evaluation tasks, requiring strong Python, Linux and git skills plus a research mindset. Hybrid role with just one day per week in the central London office.

Experis · London · £600 – £644 pd

Builds production-grade GenAI and Agentic AI products within a product squad, using LLMs, RAG and agentic workflows. Requires strong Python engineering plus LangGraph, vector search, evaluation and Azure AI services to deliver secure, maintainable AI applications.

Cranfield University · Bedford · £38,655 – £46,492 pa

Integrates four strands of AI research into a single flight-deck assistant and validates it with airline pilots in Cranfield's Future Systems Simulator. Builds the software platform and automated test framework for real-time operation, creates flight scenarios, runs simulator trials and publishes findings within an EU Horizon Europe project.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications from heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

Adecco · London · £600 – £750 pd

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and engages stakeholders to translate complex business problems into data science solutions. Retail context with scope for personalisation, recommendation and experimentation work.