26 to 32 of 32 Artificial Intelligence Engineering Jobs in the City of London

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 ❯

We are partnering with a leading BioAI company who are building large scale AI systems that bridge deep learning, molecular science, and large scale engineering to model the natural world with unprecedented precision. Their work sits at the intersection of foundation models, generative biology, and life sciences , creating the infrastructure that powers modern biological discovery; from protein design … world class AI and biotech organizations, they’re entering a new phase of growth and impact. The Role They are looking for a Director/Senior Director of AI & Engineering to lead multidisciplinary teams across AI, ML, and engineering , reporting directly to their CTO and working closely with the rest of C-Suite and heads of … and execute the technical roadmap for the company’s AI platform, from training and deployment of large scale foundation models to the systems and infrastructure supporting them. Oversee engineering excellence across multiple subteams (AI research, ML systems, data, and platform), ensuring scalability, reliability, and scientific rigor. Guide the development of multimodal generative models integrating molecular, structural, and environmental 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 ❯

Xcede’s AI recruitment team have been exclusively engaged by an exciting AI B2B SaaS scale-up to help them grow their AI Research & Engineering team. They recently secured an impressive $30m Series A funding round from one of the world’s leading AI VC firms. The team is currently made up of three AI … Research Engineers. We are supporting them grow this team to eight over the coming months. Due to this growth, they are looking for an experienced AI Lead/AI Engineering Manager who can bridge the gap between the AI team and the CTO. This is a unique opportunity to join a very exciting business at a perfect stage … experience leading, managing and growing teams of AI Researchers and Engineers Strong technical knowledge and experience around AI agents, LLMs, RAG systems, reinforcement learning, fine-tuning, etc Data Engineering and Infrastructure knowledge and experience Strong product mindset Experience working in a B2B SaaS start-up or scale-up would be advantageous This is a hybrid role More ❯

University of Oxford. Jack Haslehurst, who led all design and user research at Kraken, 70+ team. Ex Zoe, The Collective and Ideo Nick Kuh, who was Director of Engineering at ASquared and founder of multiple app startups Rafał Radziszewski, experienced Ruby and Elixir developer, ex Team Lead at v7. Co-founded startup before Josie Nelder, experienced Full Stack … opportunities for career development available (IC or Management). Areas of work : Backend Development: Building our backend services : Developing robust, fault-tolerant Elixir applications using Phoenix and OTP AI engineering : Designing and implementing sophisticated AI pipelines, managing model interactions, and optimizing AI response handling AI system integration : Architecting systems that interface with multiple AI services and models efficiently … including prompt engineering and context management Data management : Implementing advanced data storage, retrieval, and processing systems to handle large volumes of user data and AI interactions Database design : Creating efficient database schemas and query patterns using PostgreSQL with a focus on AI-related data structures Real-time features : Implementing Phoenix Channels, WebSockets and real-time communication API development More ❯