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The Machine Learning Engineer will design, build, and operationalise advanced AI solutions to support UK national security objectives. The role involves working within a multidisciplinary team alongside data scientists and software engineers in a central London office.
The Forward Deployed Engineer will build and launch voice AI solutions for enterprise clients, spending half their time coding integrations and half working directly with customers. This role is designed for recent graduates to gain hands-on experience in a fast-paced AI startup environment.
Design, build, and iterate AI agents (voice/text) for clients in production, including prompt versioning, workflows, integrations, and QA. Develop LLM, API, database, and data pipeline integrations while monitoring and optimizing agent performance (conversion, conversation quality, latency).
This working student role supports the DevOps team in managing cloud-based SaaS environments, CI/CD pipelines, and infrastructure for RegTech compliance solutions. The position involves collaborating with engineering teams to ensure system reliability, security, and scalability using cloud technologies.
This TechLead DevOps/SRE role involves leading a small team to manage the infrastructure, reliability, and observability of a search service integrated with GigaChat. The position focuses on Kubernetes, Ansible, CI/CD automation, and maintaining data-intensive systems like OpenSearch and PostgreSQL within a cloud environment.
Design AI solutions by translating business needs into technical architectures, selecting platforms/models, and ensuring privacy/security compliance.
Builds and maintains Instacore hardware rigs (5-camera + IMU wearable units) for AI robotics training, troubleshooting fleet-wide systems, and deploying hardware hubs across India/APAC. Core focus: hands-on hardware assembly, testing, and field reliability for Physical AI data collection.
Oversee field data collection for robotics AI training, manage teams, and ensure high-quality task recordings across regions.
Build and scale Instawork’s AI-powered data platforms (Lens, Prism) that capture high-fidelity task data from real-world environments to train robotics foundation models.
Analyzes and operationalizes AI-powered features for a labor marketplace, tracking performance and user feedback to improve product adoption and efficiency.
Build and scale a healthcare data platform using Elixir/Python to power a medical imaging marketplace enabling AI diagnostics and clinical research.
Own the product vision and roadmap for Avandra’s medical-image exchange platform, evolving both physical media and new digital products to securely connect providers, patients, and researchers while enabling AI-driven healthcare breakthroughs.
Principal Software Engineer at Avandra Imaging, a healthcare AI startup building a secure, scalable cloud platform for medical imaging data to power research and diagnostics.
The developer will work on Buildsimple, an AI-based SaaS platform for intelligent document processing, using Java and JavaScript technologies.
Develops a sovereign cloud-based Data & AI platform, extending system architecture, integrating open-source projects, and building REST APIs/Kubernetes operators for customer service lifecycle control. Core tech: Go, Kubernetes, cloud, Kafka, Spark, Airflow, Dremio.
Designs and automates end-to-end data pipelines integrating heterogeneous sources (internal/external) to build key dashboards for sales analysis in a food/beverage client’s digital transformation project.
Builds and maintains scalable data pipelines using Modern Data Stack tools like Snowflake and dbt, optimizing data platforms for AI-driven projects and digital transformation.
Develops and leads advanced ML models for healthcare challenges, mentors team members, and collaborates with stakeholders to drive digital transformation in a Barcelona-based tech company.
Full-stack AI Engineer builds and maintains the backend, AI pipelines, and frontend for Typewiser, a document intelligence platform using NLP and LLMs to improve clarity and trust in high-stakes documents.
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
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