1,920 Lead AI Engineer jobs in the United Kingdom
Lead AI Engineer
Posted today
Job Viewed
Job Description
Lead AI Engineer
£120,000–£140,000
One day a week in London (exceptional circumstanses could allow one day a month)
Equity Options
25 Days Holiday + Bank Holidays
Pension matched up to 7%
Work abroad for up to 3 months
Drive Innovation. Lead the Future of AI.
Are you ready to lead a world-class AI team delivering cutting-edge, production-grade systems? We're looking for a Lead AI Engineer — a "plug-and-play" leader with proven experience in people management and deep technical expertise — to shape the direction of our GenAI and retrieval-focused streams.
This is a leadership role where you'll not only design and build advanced machine learning solutions but also line-manage engineers, coordinate delivery across high-impact AI projects, and define the technical bar across the team. Your compensation reflects both the strategic leadership scope and technical excellence expected in this role.
What you'll be doing:
- Lead and manage a team of AI engineers — providing mentorship, setting performance standards, and guiding career development.
- Set the technical direction for GenAI and retrieval-based systems, ensuring consistent architecture, tooling, and research-to-production workflows.
- Act as delivery owner across multiple AI streams, coordinating timelines, resources, and cross-functional collaboration.
- Drive best practices for scalable, reproducible, and robust AI/ML system development.
- Be hands-on when needed, contributing to model development and high-impact technical decisions.
- Stay on top of research and emerging trends, bringing innovative approaches to real-world problems.
- Promote a culture of experimentation, open communication, and continuous learning across the team.
What you'll bring:
- Experience line-managing AI/ML engineers and leading delivery across multiple, concurrent AI workstreams.
- Strong technical background in AI/ML engineering — with production-level experience in Python, SQL, and frameworks like PyTorch or scikit-learn.
- Deep expertise in GenAI, LLMs, RAG systems, NLP, recommendation engines, or information retrieval stacks.
- Strong understanding of the full model lifecycle — from research and experimentation to deployment and monitoring.
- Familiarity with cloud-based ML infrastructure — especially AWS.
- Clear communication skills, strategic mindset, and the ability to make trade-offs in a fast-moving, startup-style environment.
This is more than just a leadership role — it's a chance to help shape one of the most advanced AI teams in the UK. If you're looking to step into a role with real ownership, high impact, and the opportunity to define what great AI engineering looks like, we want to hear from you.
Lead AI Engineer
Posted today
Job Viewed
Job Description
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 today
Job Viewed
Job Description
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
Job Viewed
Job Description
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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Job Description
_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
Posted 10 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the development and deployment of AI models and algorithms.
- Design and implement scalable AI solutions for various business applications.
- Research and evaluate new AI technologies and methodologies.
- Collaborate with data scientists and software engineers to build robust AI systems.
- Mentor and guide junior AI engineers, fostering a culture of learning and innovation.
- Define AI project roadmaps and technical specifications.
- Ensure the performance, scalability, and reliability of AI models.
- Stay current with the latest advancements in AI and machine learning.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Contribute to the overall AI strategy and vision of the company.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 6 years of experience in AI/ML development and research.
- Proven experience in leading AI projects and teams.
- Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of algorithms, data structures, and statistical modelling.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills.
- Familiarity with MLOps practices.
Lead AI Engineer
Posted 13 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the end-to-end development lifecycle of AI/ML models, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Design and implement scalable and efficient machine learning pipelines using modern MLOps best practices.
- Collaborate closely with data scientists, product managers, and other engineers to understand requirements and deliver high-quality AI solutions.
- Develop and maintain robust, production-ready code for AI systems.
- Optimize model performance, scalability, and resource utilization.
- Implement monitoring and alerting systems for deployed AI models to ensure reliability and performance.
- Stay current with the latest advancements in AI/ML technologies and techniques, and apply them to solve business problems.
- Mentor junior AI engineers, providing technical guidance and fostering best practices.
- Contribute to architectural decisions and technical roadmap planning for AI initiatives.
- Troubleshoot and resolve issues related to AI systems in production environments.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
- Minimum of 6 years of professional experience in software engineering, with at least 3 years focused on AI/ML development and deployment.
- Strong proficiency in programming languages such as Python, and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience in building and deploying machine learning models in production environments.
- Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration skills, with the ability to work effectively in a distributed team.
- Experience leading technical projects or mentoring junior engineers is highly desirable.
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Lead AI Engineer - Machine Learning
Posted 5 days ago
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Job Description
Key responsibilities include:
- Leading the design and implementation of sophisticated machine learning algorithms and AI systems.
- Developing, training, and evaluating predictive models using large datasets.
- Utilizing deep learning frameworks such as TensorFlow, PyTorch, or Keras to build and deploy neural networks.
- Working with cloud platforms (AWS, Azure, GCP) for model training, deployment, and MLOps.
- Collaborating with data scientists, software engineers, and product managers to translate business requirements into AI solutions.
- Mentoring and guiding junior AI engineers, fostering a culture of technical excellence and innovation.
- Optimizing ML models for performance, scalability, and efficiency.
- Conducting research into new AI techniques and technologies to identify opportunities for application.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Developing robust data pipelines and preprocessing techniques.
- Staying current with the latest advancements in the field of artificial intelligence and machine learning.
- Contributing to technical documentation and code reviews.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a proven track record of building and deploying successful AI/ML solutions. Expertise in Python and core ML libraries is essential. Experience with deep learning and cloud environments is highly desirable. Strong analytical, problem-solving, and communication skills are required. You must be a self-starter, capable of working independently in a remote setting, and possess excellent teamwork abilities. This is a unique opportunity to shape the future of AI with a forward-thinking organization.
Lead AI Engineer - Machine Learning
Posted 7 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and implementation of sophisticated machine learning algorithms and models.
- Oversee the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
- Collaborate with product managers and stakeholders to understand business requirements and translate them into AI/ML solutions.
- Develop and maintain robust, scalable, and production-ready ML systems.
- Conduct in-depth research on new AI and ML techniques, assessing their potential applications.
- Mentor and guide a team of AI engineers, fostering a culture of innovation and technical excellence.
- Write clean, efficient, and well-documented code in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Optimize model performance and ensure scalability of AI systems.
- Contribute to the strategic roadmap for AI development within the organization.
- Stay abreast of the latest advancements in artificial intelligence and machine learning.
- Present findings and technical designs to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in machine learning engineering and model development.
- Proven experience leading ML projects and teams.
- Deep understanding of various ML algorithms, statistical modeling, and data mining techniques.
- Expertise in Python and common ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong background in data structures, algorithms, and software engineering principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.