Latest Integrated Circuit Design Jobs

ML Data & Platform Engineer

Own the infrastructure behind speech AI models: building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and automated data acquisition. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Speechmatics Cambridge

Hybrid

Senior Machine Learning Engineer

Join the Modelling Team to train large self-supervised and transformer-based speech models, deploying them into production with strong software engineering and model-serving practices. Work on complex R&D projects, optimise inference, and mentor engineers in a hybrid London setup.

Speechmatics London

Hybrid

Applied Scientist/Machine Learning Engineer, Gaia

Develop next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Work spans diffusion and transformer architectures, latent compression, context pruning and inference-latency optimisation, with closed-loop agent interaction and sim-to-real evaluation. The role combines ML research, multi-modal modelling and production deployment, including mentoring and publishing.

Wayve London

Hybrid Permanent

Vehicle Performance Modelling Engineer, Robotics

Builds virtual vehicle models using physics-based and data-driven techniques, validating them against on-road data and converting them into efficient software components. Runs track and partner experiments to improve model accuracy, and integrates models into simulation, hardware-in-the-loop and correlation pipelines across robotics and product teams.

Wayve London

Hybrid Permanent

Machine Learning Engineer

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.

Maxwell Bond London £150,000 – £175,000 pa

On-site

DevOps Engineer - Enterprise AI

Builds, configures and operates the platforms and services that take enterprise AI solutions from evaluation into secure, scalable production. Works across DevOps, cloud engineering and MLOps with AI specialists, data scientists and security teams, covering CI/CD, automation, monitoring, secrets management and cost optimisation in cloud and hybrid environments.

Ricoh London

Cyber Assurance Lead (Cloud & AI)

Independent assurance voice covering the cloud estate, corporate environment and AI capability, setting security baselines for DevOps, IT and Product Security Engineering and verifying them through continuous monitoring and independent testing. Founding role in a new assurance function at a UK sovereign AI scale-up, spanning ISO 27001, AI control testing and customer-facing work.

VIQU IT Recruitment Belfast £80,000 – £100,000 pa

Hybrid Permanent Clearance Required

AI Research Engineer - Reinforcement Learning

Builds and deploys reinforcement learning agents for an autonomous aerial platform, owning the pipeline from large-scale simulation training to real-time deployment on flight-ready hardware. Involves multi-agent RL, distributed training, and integrating policies into high-performance runtime systems with strict latency constraints.

Helsing Barcelona, Spain

AI Solutions Engineer, Microsoft Tech Stack, Azure DevOps, Co-pilot Studio, Professional Services

Hands-on role designing, building and maintaining production AI solutions that support legal service delivery, knowledge management and operational efficiency. You will work with Copilot Studio, Azure AI Foundry and Azure DevOps, integrating agentic AI into core business systems while ensuring security, privacy and regulatory compliance. The position involves close collaboration with senior stakeholders and knowledge professionals across international offices.

Carrington Recruitment Solutions London £95,000 – £105,000 pa

Hybrid

Senior AI Engineer

Lead the design and deployment of scalable AI solutions, including LLM-powered applications such as enterprise search, document summarisation and conversational AI. Work with RAG architectures, vector databases and MLOps pipelines on Azure OpenAI and related cloud platforms, while mentoring engineers and shaping AI strategy across business units.

Appcast Enterprise Cork, Ireland

Hybrid

Lead Forward Deployed AI Engineer SVP - Citi

Lead technical architecture and hands-on delivery of production-grade agentic AI systems for critical banking workflows within an embedded business engineering team. Build end-to-end workflows using Python, ADK, LangGraph and the Arc platform, integrating agents with core banking systems, enterprise APIs and custom MCP servers, while mentoring engineers and shaping reusable enterprise AI capabilities.

eFinancialCareers London

Hybrid

Senior Statistician, Discovery Analytics & AI (FSP)

Supports a global pharmaceutical client by applying statistical methods to biological, biomedical and omics datasets, building reproducible analytical workflows in R and/or Python. The role sits at the intersection of statistics, data science and AI, developing AI-enabled tools, agents and automation that speed up discovery and translational research decisions alongside scientists and engineers.

IQVIA Reading

Staff AI Research Engineer - Computer Vision

Builds computer vision models for object detection, recognition, classification and tracking, extending state-of-the-art architectures and running large-scale multi-GPU training on sensor data. Optimises models for real-time performance on constrained target hardware and collaborates with research, engineering and product teams to shape perception roadmaps.

Helsing London

Staff Robotics Engineer, AV Core

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

Wayve London

Hybrid Permanent