296 jobs for “ai analyst”
CrowdStrike Ireland
Investigates emerging malware and cyber threats across the full attack lifecycle, validating Falcon's detection coverage and identifying gaps. Works with Threat Research, Engineering, Data Science and Red Team to turn findings into product improvements, using automation, AI and machine learning to scale analysis.
Harnham - Data and Analytics Recruitment United States US$200,000 – US$225,000 pa
Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.
Harnham - Data and Analytics Recruitment London £80,000 – £85,000 pa
Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.
eFinancialCareers London
Business-facing role identifying, shaping and delivering AI-enabled process improvements across a global legal and professional services firm. Involves business analysis, process mapping, prompt engineering, reusable prompt patterns and agentic workflow concepts, plus governance, risk and adoption support. Candidates can be based in London or the Channel Islands with occasional travel.
Amazon London
Labelling and evaluating text, speech, image and video data to improve Alexa's performance, acting as a subject matter expert for ML data workflows. The role involves quality checks, root cause analysis, and suggesting process improvements while maintaining strict confidentiality. The team works on-site Monday to Friday in eight-hour shifts.
Advancing People Brussels, Belgium
Builds and maintains Python-based Intelligent Document Processing pipelines, focusing on AI-driven document understanding such as data extraction and classification. Works in a product team alongside AI, front-end and infrastructure engineers, using LLMs, Flask/Django/FastAPI and cloud infrastructure. Requires two days per week in the Brussels office.
Back TO Work Gateshead £25,900 pa
Join an educational software support company to help build an AI Agent, working across data preprocessing, exploratory analysis, model fine-tuning and implementation of machine learning algorithms. Collaborate with cross-functional teams to define requirements and deliver scalable solutions while keeping up with the latest AI advancements. Aimed at early-career candidates with no prior experience required.
Back TO Work South Shields £25,900 pa
An early-career role building an AI Agent for an educational software support company, covering data preprocessing, exploratory analysis, model fine-tuning and implementing machine learning algorithms. The position works with cross-functional teams to define requirements and deliver scalable solutions, and is aimed at someone new to the industry with no prior experience required.
Avanti Recruitment Saint Peters, Australia £80,000 – £100,000 pa
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.
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 West London London £18,000 pa
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.
Loughborough University Loughborough £35,608 pa
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.
Anthropic London £225,000 – £255,000 pa
Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll help design and review trials, build drug-repurposing tools from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.
Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, United Arab Emirates
Conducts AI and network data science research on molecular multi-omics and medical data to advance precision medicine and discover new therapeutics. Works with an interdisciplinary team on the flagship Human Phenotype Project and Emirati Genome Project datasets, designing algorithms, publishing papers, and helping supervise PhD and MSc students.
University of Essex Milton Keynes £41,950 pa
Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns. A KTP partnership between the University of Essex and Sports Information Services Ltd.
