Artificial Intelligence Jobs

• Zürich, Switzerland
• Entry level
• Internship

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.

CUDA · OpenACC · GPU

• Cambridge

Hands-on compiler engineering role focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs. You'll solve complex compilation problems for AI inference and training workloads, working with MLIR, C/C++ and Python, and partner with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.

MLIR · GPU · CPU +1

• Loughborough
• Hybrid
• £35,608 pa
• Mid-level
• Contract

Conducts methodologically driven research advancing mathematical modelling, simulation and AI for transport planning, management and operations. Joins a multidisciplinary team developing novel computational and analytical approaches with real-world mobility applications, spanning intelligent, resilient and sustainable transport. Open to candidates from transport engineering, computer science, maths and physics.

• Glasgow
• £50,253 – £58,225 pa
• Mid-level
• Contract

Develops physics-informed machine learning and uncertainty quantification methods to improve subsurface characterisation for offshore wind and net-zero infrastructure. Joins an interdisciplinary team of engineers, data scientists and geophysicists within a UKRI-funded Fellowship, with scope to shape an ambitious research programme.

• Manchester
• Hybrid
• £48,337 – £59,390 pa
• Mid-level
• Contract

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing large biological, chemical and experimental datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML and data-science expertise, training and support to postdocs and students, and contributing to publications and funding bids.

• Belfast
• On-site
• £42,972 – £51,270 pa
• Mid-level
• Contract

Conducts research in hardware-accelerated custom computing within QUB's Centre for Secure Information Technology, contributing to the European RIGOLETTO initiative on an open RISC-V automotive hardware platform for software-defined vehicles. Involves FPGA design, CPU architecture work, and collaboration with academic and industrial partners.

FPGA · RISC-V

• Exeter
• £21,805 pa
• Entry level
• Contract

Develop intelligent spectroscopy pixels that combine quantum photodetectors, microfluidics and neural networks to study how individual bacteria respond to antibiotics. The work spans sensor materials, optical and electronic interfaces, and learning algorithms, validated against microscopy, growth and viability measurements.

2D Perovskite Photodetector · Microfluidic Platforms · Neural Network +1

• Wantage
• On-site
• Senior
• Permanent

Lead the design and deployment of autonomous robotic systems, owning software architecture across perception, planning and control. Work spans prototyping, simulation and field testing, integrating with hardware teams while mentoring engineers and shaping technical roadmaps. Requires depth in C++, ROS2, SLAM and real-time systems.

ROS · ROS2 · Gazebo +1

• Southampton
• £37,369 – £45,641 pa
• Mid-level
• Contract · Part time

A part-time research post developing and commercialising AI-enabled healthcare tools, combining hands-on software engineering and system architecture with product development and evaluation. The role involves building, testing and deploying software with large language model and agentic AI capabilities, connecting diverse datasets, research algorithms and external services, while supporting commercial partnerships, customer discovery, business models and pilot delivery.

• London
• £18,000 pa
• Entry level
• Contract

Develops an AI-enabled decision-support framework combining building-performance simulation, machine learning, GIS and remote sensing to optimise green roofs and façades for energy, carbon and thermal performance. Primarily computational, with no routine lab or fieldwork, and scope refined with the successful candidate.

GIS

• London
• Hybrid · 3 days in office
• Senior

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

AlphaFold

• London
• Mid-level

Design and lead rigorous studies on how frontier AI systems influence human decisions, including large-scale RCTs, model evaluations, red teaming and participatory methods. Work spans computational social science, AI safety and machine learning, with opportunities to publish and shape the team's research agenda alongside government and frontier lab stakeholders.

Claude Code · Codex

• London
• Remote
• Temporary

A four-month, full-time research fellowship focused on empirical AI safety and security projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers, work toward a public output such as a paper, and join a shared workspace or work remotely.

PyTorch · TensorFlow

• London

Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Involves production rollouts, serving as a trusted technical advisor, and collaborating with product and engineering to shape the roadmap.

Databricks · Apache Spark · HuggingFace +7

• Cambridge
• Hybrid
• Director · manages people

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures on Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

LangGraph · LangChain · Semantic Kernel +7