628 Lead AI Engineer jobs in London
Lead AI Engineer - Machine Learning
SW1A 0AA London, London
£90000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking a Lead AI Engineer specializing in Machine Learning to join their pioneering, fully remote team. This is a high-impact role where you will be responsible for leading the development and deployment of advanced AI and ML models that drive critical business outcomes. You will guide a talented team, mentor junior engineers, and collaborate with researchers and product managers to translate complex challenges into cutting-edge AI solutions. This fully remote position offers the ultimate flexibility to work from anywhere within the UK.
Key Responsibilities:
The ideal candidate will possess a strong academic background in Computer Science, AI, Machine Learning, or a related field, coupled with significant practical experience in leading AI/ML projects. Proven expertise in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is essential. Exceptional problem-solving skills, a deep understanding of algorithms, and experience with MLOps practices are required. You must be an excellent communicator, capable of articulating complex technical concepts to diverse audiences, and thrive in a fully remote, collaborative work environment. This is a unique opportunity to shape the future of AI within a dynamic and forward-thinking organisation, working on challenging problems with a team of passionate experts. Your leadership will be instrumental in driving the adoption of AI across our client's services.
Key Responsibilities:
- Lead the design, development, training, and deployment of sophisticated machine learning models.
- Architect scalable and efficient AI/ML pipelines for data processing, model training, and inference.
- Mentor and guide a team of AI/ML engineers, fostering a collaborative and innovative environment.
- Collaborate with data scientists, product managers, and stakeholders to define project requirements and deliver impactful AI solutions.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Implement best practices for model evaluation, versioning, monitoring, and MLOps.
- Develop and maintain robust data infrastructure and frameworks supporting AI/ML initiatives.
- Contribute to the strategic direction of the company's AI roadmap and innovation efforts.
- Research and experiment with new algorithms, techniques, and tools to push the boundaries of AI capabilities.
- Ensure the ethical development and deployment of AI systems, considering fairness, transparency, and accountability.
The ideal candidate will possess a strong academic background in Computer Science, AI, Machine Learning, or a related field, coupled with significant practical experience in leading AI/ML projects. Proven expertise in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is essential. Exceptional problem-solving skills, a deep understanding of algorithms, and experience with MLOps practices are required. You must be an excellent communicator, capable of articulating complex technical concepts to diverse audiences, and thrive in a fully remote, collaborative work environment. This is a unique opportunity to shape the future of AI within a dynamic and forward-thinking organisation, working on challenging problems with a team of passionate experts. Your leadership will be instrumental in driving the adoption of AI across our client's services.
This advertiser has chosen not to accept applicants from your region.
0
Lead AI Engineer
London, London
£700 - £750 Daily
TXP
Posted 11 days ago
Job Viewed
Job Description
We are currently seeking a Lead AI Engineer to work with our public sector client
6 months contract
(Apply online only) inside IR35
Location: London Bristol or Manchester / Hybrid / Flexible on remote working
The ideal candidates will have a proven Artificial intelligence engineering background within public sector ideally holding active SC clearance or have government project experience
Skills & responsibilities:
- Ideating and developing one or more AI projects. These could be fully-fledged internal applications the incubator is building. Alternatively, they might be services we're building for the government's biggest missions in collaboration with other departments, where we work closely with technical counterparts.
- Writing and reviewing code daily.
- Collaborating with cross-functional teams and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI.
- Leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products.
- Evangelising best practices in applied AI across government.
- Staying on top of the latest developments in AI, including new models and paradigms.
- Proficiency in Python.
- An understanding of deploying and monitoring such systems in a cloud environment.
- Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers).
- Experience with natural language processing, deep learning and generative AI.
Nive to have:
- Building AI agents, or products that rely on AI agents
- Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol)
- Training traditional Machine Learning and Deep Learning models
- Hands-on experience with containerisation technologies such as Docker.
- Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate.
- Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work to achieve the best possible outcomes.
This advertiser has chosen not to accept applicants from your region.
1
Lead AI Engineer
EC1 London, London
TXP
Posted 10 days ago
Job Viewed
Job Description
We are currently seeking a Lead AI Engineer to work with our public sector client
6 months contract
(Apply online only) inside IR35
Location: London Bristol or Manchester / Hybrid / Flexible on remote working
The ideal candidates will have a proven Artificial intelligence engineering background within public sector ideally holding active SC clearance or have government project experience
Skills & responsibilities:
- Ideating and developing one or more AI projects. These could be fully-fledged internal applications the incubator is building. Alternatively, they might be services we're building for the government's biggest missions in collaboration with other departments, where we work closely with technical counterparts.
- Writing and reviewing code daily.
- Collaborating with cross-functional teams and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI.
- Leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products.
- Evangelising best practices in applied AI across government.
- Staying on top of the latest developments in AI, including new models and paradigms.
- Proficiency in Python.
- An understanding of deploying and monitoring such systems in a cloud environment.
- Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers).
- Experience with natural language processing, deep learning and generative AI.
Nive to have:
- Building AI agents, or products that rely on AI agents
- Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol)
- Training traditional Machine Learning and Deep Learning models
- Hands-on experience with containerisation technologies such as Docker.
- Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate.
- Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work to achieve the best possible outcomes.
This advertiser has chosen not to accept applicants from your region.
2
Lead AI Engineer
Greater London, London
Mastercard
Posted 8 days ago
Job Viewed
Job Description
**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.
_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.
This advertiser has chosen not to accept applicants from your region.
3
Principal Data Scientist - Deep Learning
WC2N 5DU London, London
£90000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client, a world-renowned research institution at the forefront of scientific innovation, is seeking a Principal Data Scientist specializing in Deep Learning. This is a fully remote, highly influential position where you will lead groundbreaking research and development projects, pushing the boundaries of artificial intelligence and machine learning. You will be instrumental in designing, implementing, and deploying sophisticated deep learning models that address complex scientific challenges across various domains.
As a Principal Data Scientist, you will take ownership of the end-to-end lifecycle of deep learning projects, from conceptualization and data acquisition to model training, validation, and deployment. Your responsibilities will include researching and evaluating state-of-the-art deep learning architectures, developing novel algorithms, and conducting rigorous experimentation to achieve optimal performance. You will collaborate closely with a team of world-class scientists, engineers, and researchers, providing technical leadership and mentorship. The ability to translate complex scientific problems into solvable machine learning tasks and communicate intricate technical details effectively is crucial.
This role requires a deep theoretical understanding of machine learning, statistical modeling, and advanced mathematical concepts, coupled with extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. You will be expected to stay abreast of the latest advancements in the field, contribute to the scientific community through publications and presentations, and potentially file patents. The capacity to manage multiple research initiatives simultaneously, drive innovation, and work autonomously in a fully remote setting is essential.
The ideal candidate will possess a PhD or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. A strong publication record in top-tier conferences and journals is highly valued. You should have at least 7-10 years of experience in data science and deep learning, with a proven ability to lead complex projects from conception to successful implementation. Exceptional problem-solving skills, a passion for scientific discovery, and outstanding communication abilities are required. This is an unparalleled opportunity to contribute to significant scientific breakthroughs from a remote-first environment.
Key Responsibilities:
As a Principal Data Scientist, you will take ownership of the end-to-end lifecycle of deep learning projects, from conceptualization and data acquisition to model training, validation, and deployment. Your responsibilities will include researching and evaluating state-of-the-art deep learning architectures, developing novel algorithms, and conducting rigorous experimentation to achieve optimal performance. You will collaborate closely with a team of world-class scientists, engineers, and researchers, providing technical leadership and mentorship. The ability to translate complex scientific problems into solvable machine learning tasks and communicate intricate technical details effectively is crucial.
This role requires a deep theoretical understanding of machine learning, statistical modeling, and advanced mathematical concepts, coupled with extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. You will be expected to stay abreast of the latest advancements in the field, contribute to the scientific community through publications and presentations, and potentially file patents. The capacity to manage multiple research initiatives simultaneously, drive innovation, and work autonomously in a fully remote setting is essential.
The ideal candidate will possess a PhD or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. A strong publication record in top-tier conferences and journals is highly valued. You should have at least 7-10 years of experience in data science and deep learning, with a proven ability to lead complex projects from conception to successful implementation. Exceptional problem-solving skills, a passion for scientific discovery, and outstanding communication abilities are required. This is an unparalleled opportunity to contribute to significant scientific breakthroughs from a remote-first environment.
Key Responsibilities:
- Lead the research and development of advanced deep learning models.
- Design and implement novel algorithms for complex scientific problems.
- Conduct rigorous experiments and validate model performance.
- Mentor and provide technical guidance to junior data scientists and researchers.
- Collaborate with cross-functional teams on cutting-edge projects.
- Publish research findings in leading scientific venues.
- Stay current with advancements in AI, machine learning, and deep learning.
- PhD or equivalent research experience in Computer Science, AI, or a related quantitative field.
- 10+ years of experience in data science and deep learning.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong background in machine learning, statistics, and advanced mathematics.
- Proven track record of leading complex R&D projects.
- Excellent research, problem-solving, and communication skills.
This advertiser has chosen not to accept applicants from your region.
4
Lead Applied AI Engineer
London, London
£700 - £750 Daily
Summer Browning Associates
Posted 10 days ago
Job Viewed
Job Description
Summer-Browning Associates are currently supporting our Central Government client, who are seeking a Lead Applied AI Engineer on an initial 6 month assignment.
Location: London, Bristol or Manchester (hybrid - must be able to travel to London for key meetings)
About the role:
You will be responsible for leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products.
The ideal candidate will have a recent, proven background in Lead AI Engineer, along with the following qualifications:
Skills and Experience:
- Proficient experience in Python
- Strong software engineering skills with a focus on building production-ready systems
- Experience of deploying & monitoring such systems in a cloud environment.
- Experience with natural language processing, deep learning and generative AI.
- Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers).
- Building AI agents, or products that rely on AI agents
- Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol)
- Training traditional Machine Learning and Deep Learning models. (Desirable)
- Hands-on experience with containerisation technologies such as Docker. (Desirable)
NB: BPSS & eligible for SC level vetting
To apply, please submit latest CV for review
This advertiser has chosen not to accept applicants from your region.
5
Lead Applied AI Engineer
East London, London
Summer Browning Associates
Posted 2 days ago
Job Viewed
Job Description
Summer-Browning Associates are currently supporting our Central Government client, who are seeking a Lead Applied AI Engineer on an initial 6 month assignment.
Location: London, Bristol or Manchester (hybrid - must be able to travel to London for key meetings)
About the role:
You will be responsible for leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products.
The ideal candidate will have a recent, proven background in Lead AI Engineer, along with the following qualifications:
Skills and Experience:
- Proficient experience in Python
- Strong software engineering skills with a focus on building production-ready systems
- Experience of deploying & monitoring such systems in a cloud environment.
- Experience with natural language processing, deep learning and generative AI.
- Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers).
- Building AI agents, or products that rely on AI agents
- Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol)
- Training traditional Machine Learning and Deep Learning models. (Desirable)
- Hands-on experience with containerisation technologies such as Docker. (Desirable)
NB: BPSS & eligible for SC level vetting
To apply, please submit latest CV for review
This advertiser has chosen not to accept applicants from your region.
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6
Lead AI/ML Engineer
WC2N 5DN London, London
£80000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
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:
Location: This position is based at our offices in London, England, UK .
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 .
This advertiser has chosen not to accept applicants from your region.
7
Lead AI & Machine Learning Engineer (Computer Vision)
EC1A 1BB London, London
£90000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a pioneering technology firm at the forefront of artificial intelligence, is seeking a Lead AI & Machine Learning Engineer with a specialization in Computer Vision. This is a fully remote position, allowing you to contribute your expertise from your preferred location within the UK. You will be responsible for architecting, developing, and deploying sophisticated computer vision models and systems that power innovative applications. This role demands a deep understanding of deep learning frameworks (TensorFlow, PyTorch), image processing techniques, and algorithm development. You will lead a team of talented engineers, guiding them through the entire machine learning lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment. Responsibilities include:
- Designing and implementing cutting-edge computer vision algorithms for tasks such as object detection, image segmentation, facial recognition, and scene understanding.
- Leading the development of scalable ML pipelines for training and inference.
- Mentoring and guiding junior ML engineers and researchers.
- Collaborating closely with product managers and software engineers to integrate ML models into production systems.
- Staying current with the latest research in AI, ML, and computer vision, and identifying opportunities for innovation.
- Evaluating and selecting appropriate datasets and tools for model development.
- Optimizing model performance for accuracy, speed, and efficiency.
- Presenting technical findings and project progress to stakeholders.
- Ensuring responsible AI practices and ethical considerations are integrated into development.
This advertiser has chosen not to accept applicants from your region.
8
Lead AI/ML Engineer - Predictive Analytics
EC2N 4AY London, London
£80000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
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:
Qualifications:
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.
This advertiser has chosen not to accept applicants from your region.
9