Artificial Intelligence Jobs

• Bristol
• On-site
• Entry level
• Internship

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.

CUDA · OpenACC · OpenMP +4

• Zürich, Switzerland
• Entry level
• Internship

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

CUDA · OpenACC · OpenMP +4

• London
• On-site
• Entry level
• Internship

Summer internship in the Client Data & Engineering Group, working on real projects that apply data, analytics and AI to generate client and market insights across the Investment Bank. Interns analyse datasets, build dashboards and visualisations, support data platforms and data quality, and contribute to AI/ML use cases, collaborating with Markets, Banking and Technology stakeholders over a 10-week programme.

Python · SQL

• London
• Hybrid
• Senior
• Permanent

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.

Harness · Airflow · Dagster +7

• London
• Senior

Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.

PyTorch · JAX · TensorFlow +5

• Milton Keynes
• Remote
• £12,000 – £150,000 pa
• Director · manages people

Lead a globally distributed engineering organisation spanning cyber security, backend development, sensor infrastructure and AI-driven vulnerability research. Set technical strategy and standards while providing hands-on direction across architecture, system design and code review, and drive adoption of AI, LLMs and autonomous workflows to accelerate vulnerability discovery and exploit analysis.

LLM

• London
• Hybrid
• Mid-level
• Permanent

Builds and enhances scoring and detection tooling on Quantexa's Decision Intelligence platform, turning complex interconnected data into insights for financial crime detection. Works across the stack with agentic AI tooling, taking features from concept to release alongside product teams and senior engineers.

Scala · Java · Spark +7

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines, and mentors engineers within a squad-based team.

AWS · Kubernetes · TensorFlow +4

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

TensorFlow · PyTorch · Triton +2

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.

Kubernetes

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

An interdisciplinary PhD co-designing miniaturised, low-power sensing hardware with AI for field-based wildlife monitoring, including individual recognition and automated behaviour quantification. Systems are benchmarked in controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

Thermal Imaging · Cameras · Microphones

• 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

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation and ML engineers. Owns data pipelines and production deployment, and collaborates directly with customers on-site across multiple regions. Based in Manhattan with 2-3 days per week in office and frequent travel.

NumPy · SciPy · Pandas +2

• Saint Peters, Australia
• Remote
• £80,000 – £100,000 pa
• Lead

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.

LLM · NLP

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, web-scale deduplication, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Kubernetes