12 of 12 Remote Artificial Intelligence Engineering Jobs in the City of London

opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI … systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a … culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function . You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership More ❯

Director, AI Engineering – Professional and Financial Services Location: London (Hybrid) Employment Type: Full time Our Client Our client is a global leader in transforming organisational performance through safe, impactful and human centric artificial intelligence. With over a decade of success, they partner with leading organisations worldwide, combining AI software, bespoke consultancy, and top-tier talent from their … s leading technology firms, the organisation tackles some of the most complex challenges in applied AI across financial services, professional services, and beyond. The Opportunity As Director of AI Engineering , you will serve as the most senior technical authority for AI solutions across the Professional and Financial Services business unit. This is a high impact leadership role that … A collaborative leader who enjoys mentoring and developing high performing teams Why Join This is an opportunity to join a pioneering AI organisation that is redefining how businesses apply artificial intelligence responsibly and effectively. You will work alongside some of the brightest minds in the field, solving complex, real world challenges and shaping the future of applied AI More ❯

Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX More ❯

with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data … engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver data products that are modular, reusable, and aligned with business domains. Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions. Drive … integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions More ❯

to support autonomous decision-making and 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 More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI … to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and More ❯

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, a 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 intelligent agents and automation tools to advanced operational AI systems. This is not a research role, it's about turning AI into real-world impact. You'll consolidate existing … ML and AI Ops teams under one function, shaping how the organisation scales AI delivery across the business. Skills and Experience Proven leadership experience within data, ML, or AI engineering Hands-on technical understanding of modern AI tooling, MLOps, and model deployment Commercial mindset, experience bringing AI use cases into production Strong communication skills and the ability to More ❯

speech enhancement. Responsibilities: Lead the 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 live products. Contribute to the … s long-term AI strategy and 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 record of delivering production More ❯

a cohesive, high-performing community. Drive the development and delivery of cutting-edge data science, ML, and AI products, ensuring best practices and robust governance. Work closely with engineering, platform, and AI teams to deliver impactful solutions. Champion a culture of experimentation, learning, and resilience—where innovation is encouraged and calculated risks are embraced. Directly and indirectly manage … non-negotiable) Salary: £140,000 + bonus Requirements: Proven hands-on data science leadership (recent coding not essential, but strong Python knowledge required). Deep understanding of ML, AI engineering, solution architecture, and the full development lifecycle. Experience building teams, setting standards, and delivering measurable outcomes. Comfortable managing large, multidisciplinary teams and collaborating across functions. Insurance or financial More ❯

a cohesive, high-performing community. Drive the development and delivery of cutting-edge data science, ML, and AI products, ensuring best practices and robust governance. Work closely with engineering, platform, and AI teams to deliver impactful solutions. Champion a culture of experimentation, learning, and resilience-where innovation is encouraged and calculated risks are embraced. Directly and indirectly manage … non-negotiable) Salary: £140,000 + bonus Requirements: Proven hands-on data science leadership (recent coding not essential, but strong Python knowledge required). Deep understanding of ML, AI engineering, solution architecture, and the full development life cycle. Experience building teams, setting standards, and delivering measurable outcomes. Comfortable managing large, multidisciplinary teams and collaborating across functions. Insurance or More ❯

skills Computer Science and Software 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 More ❯