11 of 11 Remote/Hybrid Artificial Intelligence Engineering Jobs in Central London

native agent frameworks and building team-specific AI applications that deliver business outcomes. You’ll work in a cross-functional team alongside an AI Engineering Manager, Architect, DevOps Engineers, AI Test Lead, Data Scientists, and Project Managers. What we’re looking for: Hands-on AI development experience ...

communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks … prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure, or GCP). Desirable: Experience in small, agile teams or start-up/SME environments. Knowledge of vector databases, RAG systems, or AI orchestration platforms. Interest in autonomous systems, cognitive architectures, or workflow automation. ...

Ideal candidate: BSc, MSc, or PhD in a quantitative discipline (e.g., Maths, Physics, Computer Science). 4-5 years' experience in ML/AI engineering or data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with … elsewhere. Influence AI adoption from the ground floor for high-profile government clients. Join a collaborative team of over 4,000 digital, cyber, and intelligence specialists across multiple locations. Hybrid working flexibility, generous benefits, career development support, and a culture valuing diversity and inclusion. For further information, feel free ...

retrieval, and knowledge-driven AI systems for enterprise clients. They are hiring a Senior AI Engineer — a hands-on builder who combines deep AI engineering with product thinking to turn messy business problems into reliable, production-grade AI systems . You’ll work in small senior teams, directly … principles Ensure systems are maintainable, measurable, and reliable Build Reusable Capability Create accelerators, agent patterns, and technical templates Share research, tools, and emerging AI engineering practices Influence internal standards and architectures Experience Needed 6–8+ years in software, AI, or applied data engineering Strong hands ...

from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions across customer-facing and internal applications. Build and optimise LLM-based assistants … pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner with stakeholders to translate business needs into practical, intelligent systems. Mentor junior team members and contribute to the evolution of our AI tooling stack. This role ...

from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions across customer-facing and internal applications. Build and optimise LLM-based assistants … pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner with stakeholders to translate business needs into practical, intelligent systems. Mentor junior team members and contribute to the evolution of our AI tooling stack. This role ...

enterprise-level senior leader who is pivotal in driving value through the application of AI technology across the Group. Reporting to the client AI Engineering Lead and aligned to the Group Head of Software Engineering, you will be accountable for ensuring technical designs and overarching technology … Monday to Friday. Shifts: Monday – Friday (37.5 hours per week) Experience and Skills Required: At least 10 years of experience working in Enterprise Engineering, working in complex environments, with a proven track record of delivering tangible value through technology Demonstrated ability to provide deep, hands-on technical leadership ...

Data Science and AI Engineering Manager Salary: £100,000 - £125,000 + bonus Location: London/Hybrid Data Idols are working with a major UK brand embarking on an exciting transformation to embed AI at the heart of its technology strategy. This is a brand-new role … chance to build and lead an AI Engineering function from the ground up within an established enterprise. The Opportunity You'll set the strategy and lead delivery for a new AI Engineering area, responsible for developing practical AI solutions, from agentic systems and intelligent agents ...

Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or related field ...

Strengthening testing, CI, and CD pipelines Collaborating closely with Product to solve real user problems Working with modern AI models and a contemporary AI engineering stack This role offers real ownership, fast decision-making, and minimal bureaucracy. What we’re looking for Proven experience building and running production … grade systems in a senior engineering role Strong full-stack capability across Python and React Solid SQL skills A strong testing mindset and commitment to engineering quality Someone who leads by example and takes ownership Pragmatic, curious, and delivery-focused Comfortable working in a small, fast ...

design, training, and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable, low-latency model deployment. Collaborate cross-functionally with software and product teams to integrate ML systems into … technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency with Python , PyTorch/TensorFlow , and modern ML frameworks. Track ...