527 jobs for “ai analyst”
Darktrace Cambridge
Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.
Darktrace Cambridge
You will prototype and develop new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints while collaborating with a cross-functional team of engineers, designers and strategists. Work spans rapid prototyping and structured platform development, with a primary focus on TypeScript alongside Docker and cloud environments.
Faculty London
Oversees a portfolio of Applied AI projects as the senior point of contact for clients and internal teams, managing delivery quality, commercial margins and scope. Combines strategic consulting with business development, writing proposals and growing accounts, while mentoring cross-functional teams using Agile, Scrum or Kanban. Based in the Professional and Financial Services unit serving highly regulated industries.
NVIDIA United Kingdom
Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. High visibility with senior leadership in a strategic deep learning and HPC area.
NVIDIA France
Serve as the first line of technical expertise between NVIDIA, hyperscaler partners and end-customers, with a primary focus on the Google Cloud (GCP) partnership. Day to day involves proof-of-concept demonstrations, optimising GPU-accelerated training and inference pipelines, and engaging developers, researchers and technical executives to evangelise accelerated computing and Generative AI.
Databricks London
Owns the end-to-end technical strategy for customer accounts, leading architecture discussions and designing scalable data engineering, ML/AI and real-time analytics solutions on the Databricks platform. Acts as a trusted advisor to customer architects and engineering leads, driving platform adoption and competitive wins while developing a declared technical specialisation.
Wayve London
Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, drawing on the World Foundation Model to surface rare scenarios and performance gaps. Day to day spans defining annotation tasks and quality criteria, curating datasets, training and evaluating models in PyTorch, and integrating classifiers into enrichment infrastructure for corpus-wide inference.
Wayve London
Lead the technical architecture and roadmap for onboard localisation, designing and productionising state-estimation systems that fuse GNSS, IMU and wheel odometry for accurate vehicle pose estimates. The role spans algorithm design, prototyping, validation and deployment on real-time vehicle platforms, with hands-on technical leadership and mentorship across robotics, calibration, controls and sensor teams.
Databricks London
Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform for emerging enterprise and digital native accounts. You own architecture and design decisions, implement end-to-end systems spanning data engineering, ML/AI and application development, and embed with client teams. Billable delivery work with roughly 20% travel.
Barclays London
Owns the optimisation and strategy of transaction monitoring controls across Barclays UK and International, tuning surveillance systems and developing detection solutions. Involves data exploration, SQL/Scala/Spark/Python coding, and engaging technical and non-technical stakeholders on financial crime risk. Based in Canary Wharf or Glasgow.
University of Sheffield Sheffield £39,560 – £43,099 pa
Postdoctoral role applying explainable NLP and machine learning to analyse online disinformation narratives, integrate findings into a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews. The researcher joins the European-funded ANTIGONE project, collaborating with multidisciplinary partners and leading publication of results in high-impact journals and conferences.
The University of Manchester Manchester £48,337 – £59,390 pa
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.
Medtronic London £76,800 – £115,200 pa
Designs and builds automated test frameworks for embedded and connected hardware used in operating rooms, covering device software, firmware integrations and hardware-software interaction rather than web or mobile apps. Works with Android AOSP, Linux edge devices and IoT gateways, validating drivers, connectivity, OTA updates and service APIs, and embedding quality gates into CI/CD pipelines alongside hardware, firmware and systems engineers.
University of Exeter Exeter £21,805 pa
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.
Ocado United States
Designs and sizes Autonomous Mobile Robot solutions for warehouse automation, using industrial engineering, simulation and tools like Sketchup and AutoCAD. Partners with sales on client site visits, blueprinting and C-level presentations, and works with product and engineering teams on software design documents and integrations.
