6 of 6 Remote Artificial Intelligence Engineering Jobs in East London

modern backend architectures. Familiarity with event-driven or microservice-based patterns is a plus. The team are also looking for someone who can bring experience or interest in AI Engineering to build intelligent services and working alongside Data Scientists to deploy scalable AI-driven features and applications. A familiarity with cloud-based AI/ML services in Snowflake … Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and operational workflows. Work with Data Engineering to integrate and manage data workflows using Apache Airflow and DAG-based models. Perform comprehensive testing, debugging, and optimization of backend components. Required Skills Bachelor's degree in Computer … Science, Software Engineering, or a related field (or equivalent practical experience). Proven experience as a Backend Engineer or a similar role, with a strong track record of designing and developing robust backend systems. Proficiency in Python and Javascript Familiarity with logging frameworks like Serilog for efficient log capturing and analysis. Experience with containerization tools like Docker and More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits … productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best practices and ensure adherence to standards across ingestion, transformation, storage, and governance. Skills & Experience Proven experience delivering complex data solutions in a technical data engineering role … regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in More ❯

day one , writing production code immediately and making strategic technical decisions that shape the company’s AI roadmap. The role sits at the heart of product innovation, blending engineering, AI application, and product thinking to drive value for customers. This position is ideal for an experienced … engineer who thrives on autonomy, wants to shape foundational AI capabilities, and is passionate about delivering real-world, user-facing AI features at scale. You will: Establish the AI engineering function from the ground up Build and deploy intelligent agents and scalable content generation tools Integrate LLMs and orchestrate complex workflows using state-of-the-art frameworks Collaborate More ❯

DOE) We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools More ❯

DOE) We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools More ❯

technically adept "Senior Data Strategist" to architect and lead data-driven initiatives. Full-time role with Ascendion Location - Bromley, UK Hybrid working You will work closely with business, engineering, and analytics teams to create a unified data strategy, modernize legacy systems, and implement next-generation platforms for advanced data capabilities. Key Responsibilities Define and execute the data strategy … dimensional, and data lake paradigms. Practical knowledge of metadata management and enterprise data catalogues (e.g., Alation, Collibra). Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. More ❯