250 Lead AI Engineer jobs in London
Lead AI Engineer
Posted today
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You are the kind of leader who is happiest hands-on and leading from the front.
In this role you will test your technical skills as well as your ability to influence people
You and the team are building a toolkit, with the foundation being AI-first integrations for enterprise customers. This is what got the company to their first paying customers as well as their Series A funding. Allowing enterprise customers a safe, reliable way to integrate different platforms and tools, and of course agents is how this business has built and continues to build it’s reputation.
Things you will have to think about in this space;
What can be built upon?
What needs further proving?
When to experiment and when to go deep?
What do our customers need first?
These are the kinds of questions you are confident making the calls on.
Things you will need to bring to the role on day one;
- Proven background in building software in TypeScript or Python
- Experience of shipping at least one AI product. Ideally to enterprise customers
- Excellent systems design skills (you will prove this during a tough interview)
Opportunities for growth
- Experimenting with new frontiers MCP, A2A, etc
- Building agents
- This role starts as tech lead but there is scope for progression in a rapidly growing company
Salary: Up to £ 120,000 plus equity and bonus
Working arrangements: Tuesdays and Thursdays in an office in Soho
Do you want to make this your mission?
Send me an email and I will personally review your CV and provide feedback to you. Provided you put “I Am The Human In The Loop” in the email title and in your own words tell me why you are interested in this role, confirm you can do 2 days a week in London and make clear your right to work in the UK
Lead AI Engineer
Posted 2 days ago
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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 AI Engineer

Posted 1 day ago
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_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead AI Engineer
About Mastercard
Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal.
The Role:
At Mastercard, we're building next-generation AI-powered platforms to drive innovation and impact. As an AI Engineer, you'll work with cutting-edge tools, large language models (LLMs), and emerging frameworks to develop intelligent systems. You'll collaborate with senior engineers, data scientists, and product teams-gaining hands-on experience while contributing to real-world AI solutions.
You'll help implement Agentic AI systems, develop backend services, and explore new AI capabilities. Your focus will include prompt engineering, guardrail design, and experimentation to ensure safe, scalable, and effective AI applications.
Key Responsibilities
- Develop and enhance AI agents and backend systems for Mastercard's AI platform
- Evaluate LLMs and emerging technologies to identify innovation opportunities
- Design and optimize prompts for LLMs
- Implement safeguards to ensure secure, ethical AI responses
- Build APIs, microservices, and data integrations for AI features
- Write clean, maintainable code following industry best practices
- Stay current with advancements in AI and software engineering
All About You
- Basic understanding of AI/ML concepts and enthusiasm for generative AI
- Experience with Python and backend frameworks (e.g., FastAPI, Flask, Node.js)
- Knowledge of REST APIs and cloud platforms (AWS, Azure, GCP)
- Strong analytical skills and curiosity for exploring new AI capabilities
- Collaborative mindset and openness to feedback and mentorship
- Interest in prompt engineering, AI safety, and scalable deployment
Why Join Us?
At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Lead AI Engineer - Distributed Systems
Posted 4 days ago
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Lead AI Research Engineer
Posted 2 days ago
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Responsibilities:
- 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 AI/ML Engineer
Posted 20 days ago
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Key Responsibilities:
- 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.
Location: This position is based at our offices in London, England, UK .
Lead AI/ML Engineer - Generative Models
Posted 6 days ago
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Key Responsibilities:
- 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.
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Lead AI/ML Engineer - Generative Models
Posted 11 days ago
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Key Responsibilities:
- 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 AI/ML Engineer - Predictive Analytics
Posted 20 days ago
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Key Responsibilities:
- 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.
Qualifications:
- 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.