250 Lead AI Engineer jobs in London

Lead AI Engineer

London (3 days a week) | £90k–£35k + EMI shares | No sponsorship

I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value.

They’re looking for Lead ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior in title, but operating as a tech lead in a flat structure.

What they’re after:

• 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems)
• Proven track record deploying LLM-based applications
• Clear evidence of Software skills (CI/CD etc.)
• Ability to lead small teams, own solutions end-to-end, and mentor engineers
• Strong communicator with experience working in client-facing or consultancy settings

The package:

• Up to £135k ba + EMI share options
• Private medical, wellness benefits, pension, life cover
• 25 days holiday + bank holidays
• Hybrid working, 3 days a week in London

This is a chance to join a profitable, high-calibre business at the forefront of applied AI , where you’ll shape solutions and influence technical direction across multiple projects.

If this sounds like you, apply with your CV!

• Lead and mentor a team of AI researchers and engineers.
• Define and execute the AI research strategy and roadmap.
• Design, develop, and implement advanced AI models and algorithms.
• Oversee the entire lifecycle of AI projects, from ideation to deployment.
• Conduct cutting-edge research in areas like ML, DL, NLP, and Computer Vision.
• Ensure the scalability, performance, and efficiency of AI systems.
• Collaborate with product teams to integrate AI solutions into applications.
• Publish research findings and present work at leading conferences.
• Stay abreast of the latest advancements in AI and machine learning.
• Foster a culture of innovation and knowledge sharing within the team.

• Ph.D. or M.S. in Computer Science, Artificial Intelligence, or a related field.
• Significant experience (5+ years) in AI research and development, with proven leadership experience.
• Expertise in machine learning, deep learning, NLP, or computer vision.
• Proficiency in programming languages such as Python and AI frameworks (TensorFlow, PyTorch).
• Strong understanding of algorithm design, data structures, and software engineering principles.
• Proven ability to lead and mentor technical teams.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps is a plus.

• Lead the design, development, and implementation of advanced AI and Machine Learning models and algorithms.
• Oversee the entire ML lifecycle, including data collection, feature engineering, model training, validation, and deployment.
• Mentor and guide a team of AI/ML engineers and data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with product managers and stakeholders to define AI project requirements and roadmaps.
• Research and evaluate new AI technologies, tools, and methodologies to enhance our capabilities.
• Develop and maintain robust data pipelines for training and inference.
• Ensure the scalability, reliability, and performance of AI/ML systems in production environments.
• Implement MLOps best practices for automated model deployment, monitoring, and retraining.
• Contribute to the development of intellectual property and publications in the AI/ML domain.
• Translate complex business problems into actionable AI/ML solutions.
• Conduct rigorous testing and validation of models to ensure accuracy and fairness.
• Present findings and technical roadmaps to executive leadership and technical teams.
• Stay current with the latest advancements in AI research and industry trends.

• Lead the design, development, and implementation of advanced generative AI models (e.g., GANs, VAEs, Diffusion Models, LLMs) for various applications.
• Architect robust and scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Collaborate closely with product managers, data scientists, and other engineering teams to define project requirements and deliverables.
• Mentor and guide junior engineers and researchers, fostering a culture of innovation and technical excellence.
• Stay at the forefront of AI/ML research, identifying and experimenting with new techniques and technologies.
• Optimize model performance, efficiency, and latency for production environments.
• Develop and maintain comprehensive documentation for models, systems, and processes.
• Implement best practices for MLOps, including model monitoring, versioning, and retraining strategies.
• Contribute to the company's AI strategy and roadmap.
• Ensure the ethical and responsible development and deployment of AI systems.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in AI/ML engineering, with a strong focus on generative models.
• Proven experience in leading engineering teams and managing complex ML projects.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in Python and common ML libraries (e.g., Scikit-learn, Pandas, NumPy).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and associated ML services.
• Experience with MLOps tools and practices.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a fast-paced, collaborative environment.
• Demonstrated experience in deploying and scaling ML models in production.
• Knowledge of ethical AI principles and practices.

• Lead the design, development, and implementation of advanced AI/ML models, with a primary focus on generative AI (e.g., LLMs, GANs, VAEs).
• Architect scalable and efficient machine learning systems for training, evaluation, and deployment in production environments.
• Oversee the end-to-end ML lifecycle, from data preprocessing and feature engineering to model validation and monitoring.
• Collaborate with data scientists, researchers, and product managers to define project objectives and technical requirements.
• Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
• Conduct thorough research into new AI algorithms, techniques, and technologies to identify opportunities for innovation.
• Optimise model performance for speed, accuracy, and resource efficiency.
• Develop and maintain robust data pipelines and infrastructure to support ML workflows.
• Implement best practices for MLOps, including version control, CI/CD, and automated testing for ML models.
• Stay current with the latest advancements in AI research and the broader AI/ML community.
• Present findings, research, and project outcomes to both technical and non-technical stakeholders.
• Contribute to the company's intellectual property through publications and patent applications.
• Ensure ethical considerations and responsible AI practices are integrated into all development efforts.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• A minimum of 7 years of professional experience in AI/ML engineering, with a significant portion focused on deep learning and generative models.
• Proven track record of designing, building, and deploying production-ready ML models.
• Expertise in Python and common ML libraries/frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
• Deep understanding of various generative models (LLMs, GANs, VAEs) and their applications.
• Experience with cloud platforms (AWS, Azure, GCP) and related ML services.
• Strong knowledge of MLOps principles and tools.
• Excellent leadership, team management, and mentoring skills.
• Exceptional problem-solving, analytical, and algorithmic thinking abilities.
• Outstanding communication and presentation skills.
• Experience with distributed training and large-scale data processing.
• Familiarity with natural language processing (NLP) and computer vision is a plus.

• Lead the design, development, and deployment of AI/ML models for predictive analytics.
• Manage and mentor a team of AI/ML engineers and data scientists.
• Develop and implement algorithms for fraud detection, risk assessment, and other financial applications.
• Oversee data ingestion, feature engineering, model training, and validation processes.
• Optimise model performance, scalability, and reliability.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Define and enforce MLOps best practices.
• Stay abreast of the latest advancements in AI/ML research and technology.
• Communicate complex technical concepts to diverse stakeholders.
• Ensure ethical considerations and data privacy are addressed in all AI initiatives.

• Master's or PhD in Computer Science, Data Science, AI, or a related quantitative field.
• Minimum of 8 years' experience in AI/ML engineering or data science.
• Proven experience leading AI/ML projects and teams.
• Expertise in Python, ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modelling, deep learning, and NLP.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Excellent problem-solving, analytical, and communication skills.
• Demonstrated ability to deliver production-ready AI solutions.