Artificial Intelligence Jobs

119 jobs for “applied ai engineer”

Results

OpenAI

Applied AI Architect, Education

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

Senior technical owner for a portfolio of education customers, acting as the technical counterpart to institutional leadership. Shapes AI strategy across ChatGPT Edu, the OpenAI API and Codex, guiding institutions from pre-sales discovery through deployment and adoption. Requires education-sector fluency and hands-on architecture skills.

ChatGPT Edu · OpenAI API · Codex

2 months ago

OpenAI

Manager, Applied AI Architects

  • London
  • Hybrid · 3 days in office
  • Director · manages people
  • Permanent

Lead a team of senior Applied AI Architects acting as the technical "CTO of the book of business" for OpenAI's largest enterprise customers across North EMEA. Own technical account strategy, resource allocation and paths to production across ChatGPT Enterprise, the API, Codex and agentic solutions, while coaching the team and serving as an executive technical sponsor.

ChatGPT Enterprise · OpenAI API · Codex

Last month

NVIDIA · Public

Senior Software Engineer, JAX

  • United Kingdom
  • Remote
  • Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.

JAX · PyTorch · TensorFlow +4

3 weeks ago
Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

Research Scientist (Applied LLMs), London

  • London
  • Hybrid · 3 days in office
  • Senior · manages people

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning and fine-tuning, with model training and inference engineering at scale. Interdisciplinary collaboration with research scientists and engineers, plus technical mentorship and project leadership depending on experience.

JAX · PyTorch · TensorFlow +3

4 months ago

Wayve · 11–50 people · Series A

Machine Learning Engineer, Synthetic Data

  • London
  • Hybrid
  • Senior
  • Permanent

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

PyTorch · GAIA · CUDA +1

Visa sponsorship 2 weeks ago

Wayve · 11–50 people · Series A

Senior Machine Learning Engineer, ADAS

  • London
  • Hybrid
  • Senior
  • Permanent

Train, debug and improve computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data and training to evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work with lidar, maps and 3D reconstruction to build auto-labelling data flywheels.

LiDAR

Visa sponsorship Last month
Databricks logo

Databricks · 1001–5000 people · Late stage

Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

  • United Kingdom
  • Remote
  • Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

Databricks · Mosaic AI · MLflow +7

Last month

University of Liverpool

Research Co-ordinator in AI for Materials Discovery - Grade 8

  • Liverpool
  • £48,337 – £61,165 pa
  • Senior · manages people
  • Permanent

Lead and coordinate the AI and machine learning workstream of a materials discovery research group, managing teams applying LLMs, machine reasoning, knowledge representation and optimisation to scientific problems. The role also involves developing AI methods directly, securing national computing resources, supporting grant applications and publications, and mentoring PhD students and postdocs alongside chemistry, robotics and automation colleagues.

2 days ago

University of Oxford

Senior Researcher in Probabilistic Machine Learning for AI Governence

  • Oxford
  • On-site
  • £49,119 – £59,955 pa
  • Senior · manages people
  • Contract

Leads a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings, running the lab's open-source software, producing policy-facing outputs, and guiding research assistants and students. Based in the Bayesian Governance Lab within Oxford's Department of Engineering Science, in collaboration with the Oxford Martin AI Governance Initiative, on a two-year fixed-term post.

Last month

Quantexa · 51–200 people · Series B

Software Engineer

  • 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

5 months ago

University of Sheffield

AI Innovation Lead (KTP Associate)

  • Chesterfield
  • £39,000 – £42,000 pa
  • Lead
  • Contract

You will develop an intelligent weld fabrication and control platform, integrating AI and computer vision with BIM and IFC digital twins to improve planning, decision-making and productivity. Based primarily at Power System Services with close links to the University of Sheffield, you will design algorithms, build software prototypes, train AI models and test solutions under realistic industrial conditions.

BIM · IFC

2 days ago

University Of Leicester

Research Associate in AI for Environmental Forecasting (SENTINEL project)

  • Leicester
  • £40,704 pa
  • Mid-level
  • Contract

Lead the AI development strand of a UKRI-funded project building a physics-informed forecasting system for chemical fugitive emissions. You will construct a multi-modal training dataset and design, train and evaluate a Receptor Transfer Function Learner using generative AI downscaling, graph neural networks and explainable AI, working with environmental, meteorological and community data on GPU and HPC facilities.

PyTorch · TensorFlow · JAX +5

Last week

Talent Smart

AI and Data SME

  • Sheffield
  • £700 pd
  • Senior
  • Contract

Consultant role bridging the CTO organisation and Data Security teams to map AI and Agentic AI capabilities, define security controls and guardrails, and take business ownership of AI-enabled data security outcomes through to production. Covers data access governance, encryption, database activity monitoring and control integration across the wider data protection landscape.

NIST AI RMF · ISO 27001 · OWASP

Last month
Databricks logo

Databricks · 1001–5000 people · Late stage

Senior EMEA AI Solutions Architect

  • London
  • Senior

Customer-facing pre-sales architect driving adoption of Databricks' AI product line across a local EMEA territory, paired with an Account Executive to design and execute engagement strategies. Leads design and implementation of production agentic AI use cases using Agent Framework, AgentBricks, MLflow evaluation and tracing, while acting as tier-3 escalation for complex field challenges.

Databricks · MLflow · AWS +7

2 weeks ago
University of Surrey logo

University of Surrey · 1001–5000 people

PhD Studentship: Smart Optical Design: AI Tools for the Next Generation of Cinematic Camera Lenses

  • Guildford
  • £21,805 pa
  • Entry level
  • Permanent

Develops a computational framework combining computer vision, graphics and machine learning to speed up and improve cinematic camera lens design and simulation. The work covers forward simulation of candidate lens configurations and inverse design of lens architectures against imaging or perceptual objectives, using differentiable rendering and data-driven models. Based at the Vision, Speech and Signal Processing group under Dr Marco Volino and Dr Jean-Yves Guillemaut, with close industry collaboration.

PyTorch · TensorFlow

Visa sponsorship Last month

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