250 Lead AI Engineer jobs in London

Lead AI Engineer

London, London SEEKR

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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

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Lead AI Engineer

London, London Harnham

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!

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Lead AI Engineer

Greater London, London Mastercard

Posted 1 day ago

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**Our Purpose**
_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.
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Lead AI Engineer - Distributed Systems

EC1A 1BB London, London £80000 Annually WhatJobs

Posted 4 days ago

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full-time
Our client is looking for a highly skilled and experienced Lead AI Engineer specializing in distributed systems to join their innovative team. This is a fully remote position, offering the flexibility to work from anywhere within the UK. You will be at the forefront of developing and deploying cutting-edge artificial intelligence solutions, focusing on building robust, scalable, and efficient distributed AI systems. Your responsibilities will include designing, implementing, and optimizing complex AI algorithms for large-scale data processing and model training. You will lead a team of talented engineers, providing technical guidance, mentorship, and driving architectural decisions. Collaborating closely with research scientists and product managers, you will translate theoretical concepts into production-ready systems. Key areas of focus include developing novel approaches to distributed machine learning, ensuring high availability and fault tolerance, and optimizing performance for real-time applications. The ideal candidate possesses a PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a minimum of 8 years of professional experience in AI/ML and distributed systems engineering. Demonstrated experience in leading engineering teams and a strong understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) are essential. Proficiency in programming languages such as Python, C++, and experience with deep learning frameworks (TensorFlow, PyTorch) are required. You should have a deep understanding of distributed consensus algorithms, data synchronization techniques, and fault-tolerant computing. Excellent problem-solving skills, a passion for innovation, and the ability to thrive in a fast-paced, remote-first environment are critical. This role offers a unique opportunity to shape the future of AI development and work on challenging problems with a significant impact. We are committed to fostering a collaborative and inclusive remote culture, ensuring seamless communication and engagement across the team.
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Lead AI Research Engineer

SW1A 0AA London, London £80000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client is at the forefront of Artificial Intelligence and is seeking an exceptional Lead AI Research Engineer to drive innovation in its rapidly expanding research division. This is a fully remote position, allowing you to contribute to groundbreaking AI advancements from anywhere in the UK. You will lead a team of talented researchers and engineers, conceptualising, developing, and deploying state-of-the-art AI models and systems. Your work will span across various domains of AI, including machine learning, deep learning, natural language processing, and computer vision. Key responsibilities include defining research roadmaps, architecting AI solutions, overseeing the implementation of complex algorithms, and ensuring the scalability and efficiency of AI systems. The ideal candidate will possess a PhD or a Master's degree in Computer Science, AI, or a related field, with a significant track record of impactful AI research and development. You should have extensive experience with major AI frameworks (e.g., TensorFlow, PyTorch), strong programming skills (Python), and a proven ability to lead and mentor technical teams. This role requires a visionary thinker with exceptional problem-solving abilities and a passion for pushing the boundaries of what's possible with AI. You will be responsible for guiding research initiatives, fostering a culture of innovation, and collaborating with product teams to translate research breakthroughs into tangible applications. This is a unique opportunity to shape the future of AI and to lead high-impact projects in a dynamic, remote-first environment.

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.
Qualifications:
  • 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.
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Lead AI/ML Engineer

WC2N 5DN London, London £80000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client is seeking a visionary Lead AI/ML Engineer to drive innovation in the field of Artificial Intelligence and Machine Learning. This critical role is based in our state-of-the-art facilities in London, England, UK . You will lead a talented team of engineers and researchers, developing cutting-edge AI solutions that will redefine industry standards. Your responsibilities will span the entire machine learning lifecycle, from data acquisition and preprocessing to model development, deployment, and ongoing optimisation. You will play a pivotal role in shaping the technical direction of our AI initiatives, mentoring team members, and collaborating with cross-functional teams to integrate AI capabilities into our products and services.

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.
The ideal candidate will have a strong background in computer science, machine learning, or a related quantitative field, coupled with a proven track record of leading successful AI projects. Exceptional programming skills (Python, R, etc.) and deep expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) are essential. You should possess outstanding analytical, problem-solving, and communication skills, with the ability to inspire and guide a team. This is an exceptional opportunity to be at the forefront of AI innovation in a vibrant and collaborative environment.

Location: This position is based at our offices in London, England, UK .
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Lead AI/ML Engineer - Generative Models

WC2N 5DU London, London £85000 Annually WhatJobs

Posted 6 days ago

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full-time
Our client is looking for a highly skilled and experienced Lead AI/ML Engineer specializing in Generative Models to join their innovative team in London, England, UK . This role will be pivotal in designing, developing, and deploying cutting-edge AI solutions that leverage generative artificial intelligence techniques. You will lead a team of talented engineers and researchers, driving the entire lifecycle of AI model development, from conceptualization and experimentation to production deployment and ongoing optimization. The ideal candidate possesses a strong theoretical understanding of machine learning and deep learning, coupled with extensive practical experience in building and scaling complex AI systems.

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.
Qualifications and Skills:
  • 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.
This is an exceptional opportunity to shape the future of generative AI and make a significant impact within a leading technology organization.
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Lead AI/ML Engineer - Generative Models

WC1V 2AA London, London £85000 Annually WhatJobs

Posted 11 days ago

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full-time
Our client, a pioneering technology firm at the vanguard of AI innovation, is seeking an exceptional Lead AI/ML Engineer with expertise in Generative Models to join their prestigious team in London, England, UK . This challenging role demands a visionary leader to drive the development and deployment of state-of-the-art artificial intelligence solutions. You will be responsible for architecting, building, and optimising advanced machine learning models, particularly focusing on generative AI techniques such as LLMs, GANs, and VAEs. The ideal candidate possesses a strong academic background, extensive practical experience in deploying ML models in production environments, and a deep passion for pushing the boundaries of what AI can achieve. You will lead a team of talented engineers, mentor junior researchers, and collaborate closely with product teams to translate cutting-edge research into impactful real-world applications.

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.
Qualifications and Experience:
  • 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.
Join a forward-thinking organisation that is shaping the future of artificial intelligence. This role offers the chance to work on groundbreaking projects in a collaborative environment.
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Lead AI/ML Engineer - Predictive Analytics

EC2N 4AY London, London £80000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client, a dynamic FinTech innovator in London, England, UK , is seeking an experienced Lead AI/ML Engineer to spearhead the development of advanced predictive analytics platforms. This is a hybrid role offering a compelling opportunity to work at the intersection of artificial intelligence, machine learning, and financial services. You will lead a team of talented engineers and data scientists, guiding the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and ongoing monitoring. Your expertise will be crucial in designing and implementing sophisticated algorithms for fraud detection, risk assessment, algorithmic trading, and customer behaviour prediction. The ideal candidate possesses a deep understanding of machine learning techniques, statistical modelling, and a proven ability to translate complex business requirements into scalable AI solutions. You will be responsible for selecting appropriate ML frameworks and tools, optimising model performance, and ensuring the robustness and ethical application of AI technologies. Strong leadership, mentoring, and communication skills are essential, as you will collaborate closely with product managers, software engineers, and business stakeholders to drive innovation and deliver tangible business value. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. This role requires a forward-thinking individual who can identify new opportunities for AI adoption and continuously improve existing systems. You will play a key role in shaping the company's AI strategy and fostering a culture of data-driven decision-making. We are looking for someone who can not only build powerful models but also explain their workings and impact to both technical and non-technical audiences. The ability to manage projects, set technical direction, and ensure the highest standards of code quality and data security is paramount.

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.
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