839 AI Ml Engineer jobs in the United Kingdom

Our client is at the forefront of AI innovation and is seeking a highly skilled Senior AI/ML Engineer specializing in Natural Language Processing (NLP) to join their pioneering team. This role offers the exciting prospect of designing, developing, and deploying cutting-edge NLP models and solutions that will drive significant advancements in our products and services. Based in Leicester, Leicestershire, UK , this position offers a fully remote working arrangement, providing flexibility and the opportunity to collaborate with a world-class team from anywhere. You will be instrumental in pushing the boundaries of what's possible with AI and language.

Key Responsibilities:

• Design, develop, and implement advanced NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
• Build and manage large-scale datasets for training and evaluating NLP models.
• Conduct research into state-of-the-art NLP techniques and explore their applicability to our business challenges.
• Develop robust, scalable, and production-ready ML pipelines for deploying NLP solutions.
• Collaborate with software engineers, data scientists, and product managers to integrate AI capabilities into our platforms.
• Evaluate model performance, identify areas for improvement, and iterate on existing models.
• Stay abreast of the latest research papers, conferences, and open-source libraries in the NLP and machine learning domain.
• Mentor junior engineers and contribute to the team's technical growth.
• Author technical documentation and present findings to both technical and non-technical audiences.
• Ensure ethical considerations and bias mitigation are addressed in model development.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying NLP models in production environments.
• Proficiency in programming languages such as Python, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
• Deep understanding of NLP concepts, techniques, and architectures (e.g., RNNs, LSTMs, Transformers, BERT, GPT).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent problem-solving skills and analytical thinking.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Experience with MLOps principles and practices is a plus.

This role is ideal for an ambitious AI enthusiast looking to make a significant impact in the field of AI and NLP, contributing to innovative projects from your remote workspace, while being connected to our operations in Leicester, Leicestershire, UK .

Our client, a leader in artificial intelligence and emerging technologies, is seeking a highly skilled Senior AI/ML Engineer specializing in Natural Language Processing (NLP) to join their fully remote, innovative team. This role offers a significant opportunity to design, develop, and deploy advanced NLP models and solutions that drive critical business insights and user experiences. You will work from your home office, contributing to cutting-edge projects in areas such as sentiment analysis, text summarization, machine translation, and conversational AI. The ideal candidate will possess a strong academic background in Computer Science, AI, or a related field, coupled with extensive hands-on experience in developing and deploying NLP models using frameworks like TensorFlow, PyTorch, and scikit-learn. You will be responsible for the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment. We are looking for a proactive, results-oriented individual with exceptional problem-solving skills and a deep understanding of state-of-the-art NLP techniques, including transformer models. You will collaborate with a team of talented engineers and data scientists, pushing the boundaries of what's possible with AI. This is an unparalleled opportunity to make a substantial impact in the field of AI and emerging technologies, working remotely within a collaborative and forward-thinking organization.

Responsibilities:

• Design, develop, and implement advanced Natural Language Processing (NLP) models and algorithms.
• Build and train machine learning models for tasks such as text classification, entity recognition, sentiment analysis, and question answering.
• Process and analyze large volumes of text data, ensuring data quality and feature engineering.
• Evaluate model performance, optimize hyperparameters, and implement efficient training strategies.
• Deploy NLP models into production environments, ensuring scalability and reliability.
• Collaborate with cross-functional teams to understand business needs and translate them into AI solutions.
• Stay current with the latest research and advancements in NLP and deep learning.
• Contribute to the development of reusable AI components and best practices.
• Mentor junior engineers and share expertise within the AI/ML team.
• Document code, models, and experiments thoroughly.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on NLP.
• Proficiency in programming languages such as Python, with extensive experience in ML libraries (TensorFlow, PyTorch, scikit-learn).
• Deep understanding of NLP concepts, techniques, and modern architectures (e.g., Transformers, BERT, GPT).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong data preprocessing and feature engineering skills for text data.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Ability to work independently and collaboratively in a fully remote setting.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with large-scale data processing and distributed computing is a plus.

Our client is revolutionizing the landscape of artificial intelligence and is seeking a highly skilled Senior AI/ML Engineer specializing in Natural Language Processing (NLP) for a fully remote, forward-thinking role. This position is ideal for an individual passionate about pushing the boundaries of language understanding and generation, developing sophisticated AI models that can process, interpret, and interact with human language at an advanced level. You will be instrumental in designing, developing, and deploying cutting-edge NLP solutions that power innovative products and services. The role involves tackling complex challenges in areas such as sentiment analysis, machine translation, text summarization, chatbot development, and information extraction. You will work with large-scale datasets, applying state-of-the-art machine learning algorithms and deep learning frameworks. Collaboration with a global, distributed team of researchers and engineers will be a key aspect of your day-to-day work. The ideal candidate will possess a Master's or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with a minimum of 5 years of hands-on experience in developing and implementing production-ready NLP models. Expertise in Python and popular ML/DL libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers) is essential. A deep understanding of various NLP techniques, including transformers, RNNs, LSTMs, and word embeddings, is required. Proven experience in MLOps, model deployment, and continuous integration/continuous delivery (CI/CD) pipelines for AI models is highly desirable. You should be comfortable working in an agile, remote-first environment, with excellent communication and collaboration skills. If you are a driven and innovative AI/ML engineer looking to make a significant impact in the rapidly evolving field of NLP, this remote opportunity offers the perfect platform for your expertise and ambition. Join a team that values intellectual curiosity, technical excellence, and collaborative problem-solving to build the future of AI-powered language technologies.

Responsibilities:

• Design, develop, and implement advanced NLP models and algorithms for various applications.
• Work with large-scale text datasets, performing data preprocessing, feature engineering, and model training.
• Apply deep learning techniques (e.g., Transformers, RNNs, LSTMs) and traditional ML methods to NLP tasks.
• Develop and maintain production-level code for NLP solutions, ensuring scalability and robustness.
• Collaborate with cross-functional teams to integrate NLP capabilities into products and services.
• Stay abreast of the latest research and advancements in NLP and machine learning.
• Conduct experiments, analyze results, and iterate on model performance.
• Contribute to MLOps practices, including model deployment, monitoring, and lifecycle management.
• Participate in code reviews and contribute to the team's technical knowledge base.
• Present findings and research to technical and non-technical stakeholders.

Qualifications:

• Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
• Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on NLP.
• Proficiency in Python and core ML/DL libraries (e.g., TensorFlow, PyTorch, Scikit-learn, spaCy, NLTK, Hugging Face).
• In-depth knowledge of NLP techniques, including text classification, NER, sentiment analysis, machine translation, and question answering.
• Experience with transformer architectures and pre-trained language models.
• Strong understanding of software development best practices and version control (Git).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, suitable for remote work.

This is a fully remote position offering a competitive salary and benefits package.

Our client is looking forAI/ML Engineer based at Surrey.

You will work cross-functionally within the AI teamand other tech teamsdriving collaboration and integration of new features. You should have experience incommunicatingwithtechnical teamsand management to collect requirements, describe software product features, and technical designs.

Key areas of focus will include:

• Responsible for software architecture, development,integrationandmaintainability of software

• Responsible for secure, compliant, and robustsystem designfor industrial applications

• Supporting data engineering for both structured (SQL) and unstructured (RAG) data, with an emphasis on streaming and time-series data

Your Personality

• Excited tosolveproblems, regardless of programming language or technology stack

• Youpossessstrong technical leadership skills, with the ability to explain technical needs and recommendations effectively to team members and stakeholders

• You are motivated to drive the engineering best practices and standards, fostering a high-performing team culture

Your Experience

• Architected, developed,deployedandmaintainedscalable software and/orAI/ML solutions

• Wrote production-grade, well-tested code (Python, C++, C#). Ideally, had experience with integrating ML features into C++ applications

• Ensured secure handling of sensitive operational data and compliance with relevant standards

• Developed andmaintainedrobust APIs for system integration

• Drove operational excellence and continuous improvement

• Implemented and managed monitoring, observability, and troubleshooting tools for deployed systems

• Designed and handled containerised applications (e.g., Docker, Kubernetes)

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field

• Relevant experience as a software engineer, witha track recordof delivering complex technical projects

• Professional experience in AI/ML engineering(Preferred)

Our client is looking forAI/ML Engineer based at Surrey.

You will work cross-functionally within the AI teamand other tech teamsdriving collaboration and integration of new features. You should have experience incommunicatingwithtechnical teamsand management to collect requirements, describe software product features, and technical designs.

Key areas of focus will include:

• Responsible for software architecture, development,integrationandmaintainability of software

• Responsible for secure, compliant, and robustsystem designfor industrial applications

• Supporting data engineering for both structured (SQL) and unstructured (RAG) data, with an emphasis on streaming and time-series data

Your Personality

• Excited tosolveproblems, regardless of programming language or technology stack

• Youpossessstrong technical leadership skills, with the ability to explain technical needs and recommendations effectively to team members and stakeholders

• You are motivated to drive the engineering best practices and standards, fostering a high-performing team culture

Your Experience

• Architected, developed,deployedandmaintainedscalable software and/orAI/ML solutions

• Wrote production-grade, well-tested code (Python, C++, C#). Ideally, had experience with integrating ML features into C++ applications

• Ensured secure handling of sensitive operational data and compliance with relevant standards

• Developed andmaintainedrobust APIs for system integration

• Drove operational excellence and continuous improvement

• Implemented and managed monitoring, observability, and troubleshooting tools for deployed systems

• Designed and handled containerised applications (e.g., Docker, Kubernetes)

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field

• Relevant experience as a software engineer, witha track recordof delivering complex technical projects

• Professional experience in AI/ML engineering(Preferred)

About Charlotte Tilbury Beauty

Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.nAbout the rolenThe AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications.nAs AI & ML Engineer you will be responsible for

The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities includenPartnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions.nDesigning and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.nBuilding and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).nDeveloping APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.nImplementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.nEstablishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.nDriving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the business.nCollaborating with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end.nWho you will work with

The AI & ML Engineer Lead and the wider data team.nAbout you

The role requires a blend of technical depth and product sense, includingnBachelor’s or Master’s degree in Computer Science, Engineering, or related field.nStrong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).nHands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraphnSolid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.nProven experience deploying and operating ML systems in production (batch and real-time).nFamiliarity with RAG architectures, prompt engineering, and evaluation techniques.nStrong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).nExcellent communication skills and ability to work with non-technical stakeholders.nIn addition to the above, we would LOVE if you havenExperience with vector databases and retrieval strategies.nKnowledge of recommender systems and ranking models.nFamiliarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).nExposure to feature stores, data lineage, and observability stacks.nExperience in e-commerce or retail environments.nDemonstrable ability to weigh up build/build/configure decisions in the LLM space.nCharlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global #dreaamteam are key. Even though we have requirements, our experience and background are just a guide, we still love to welcome applicants with more or less experience stated, provided necessary skills can be demonstrated.nWhy join us?

Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselvesnWe’re a hybrid model with flexibility, allowing you to work how best suits youn25 days holiday (plus bank holidays) with an additional day to celebrate your birthdaynInclusive parental leave policy that supports all parents and carers throughout their parenting and caring journeynFinancial security and planning with our pension and life assurance for allnWellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleaguesnBring your furry friend to work with you on our allocated dog friendly days and spacesnAnd not to forget our generous product discount and gifting!nAt Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.nIf you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!

#J-18808-Ljbffrn

About Charlotte Tilbury BeautynFounded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace.

Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.

Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.

About the rolenThe AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications.

As AI & ML Engineer you will be responsible fornThe role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include

Partnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions.

Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.

Building and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).

Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.

Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.

Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.

Driving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the business.

Collaborating with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end.

Who you will work withnThe AI & ML Engineer Lead and the wider data team.

About younThe role requires a blend of technical depth and product sense, including

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).

Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph

Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.

Proven experience deploying and operating ML systems in production (batch and real-time).

Familiarity with RAG architectures, prompt engineering, and evaluation techniques.

Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).

Excellent communication skills and ability to work with non-technical stakeholders.

In addition to the above, we would LOVE if you have

Experience with vector databases and retrieval strategies.

Knowledge of recommender systems and ranking models.

Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).

Exposure to feature stores, data lineage, and observability stacks.

Experience in e-commerce or retail environments.

Demonstrable ability to weigh up build/build/configure decisions in the LLM space.

Charlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global #dreaamteam are key. Even though we have requirements, our experience and background are just a guide, we still love to welcome applicants with more or less experience stated, provided necessary skills can be demonstrated.

Why join us?

Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves

We’re a hybrid model with flexibility, allowing you to work how best suits you

25 days holiday (plus bank holidays) with an additional day to celebrate your birthday

Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey

Financial security and planning with our pension and life assurance for all

Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues

Bring your furry friend to work with you on our allocated dog friendly days and spaces

And not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.

If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!

#J-18808-Ljbffrn

About The Role

The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications.nResponsibilitiesnPartnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutionsnDesigning and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stacknBuilding and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches)nDeveloping APIs and microservices for AI/ML solutions, ensuring security, scalability, and observabilitynImplementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performancenEstablishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulationsnDriving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the businessnCollaborating with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-endnAbout You / Qualifications

Bachelor's or Master’s degree in Computer Science, Engineering, or related fieldnStrong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred)nHands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraphnSolid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoringnProven experience deploying and operating ML systems in production (batch and real-time)nFamiliarity with RAG architectures, prompt engineering, and evaluation techniquesnStrong grasp of security, privacy, and governance principles (IAM, secrets, PII handling)nExcellent communication skills and ability to work with non-technical stakeholdersnAdditionally desirable: experience with vector databases and retrieval strategies; knowledge of recommender systems and ranking models; familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize); exposure to feature stores, data lineage, and observability stacks; experience in ecommerce or retail environments; ability to weigh build/build/configure decisions in the LLM space.nCharlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global #dreamteam are key. Even though we have requirements, our experience and background are just a guide, and we welcome applicants with varying levels of experience if necessary skills can be demonstrated.nWhy join us?

Be part of a values-driven, high-growth, magical journey with a vision to empower everyone, everywhere to be the best version of themselvesnHybrid model with flexibility to work how best suits youn25 days holiday (plus bank holidays) with an additional day to celebrate your birthdaynInclusive parental leave policy supporting all parents and carersnFinancial security and planning with pension and life assurancenWellness and social benefits including Medicash, Employee Assistance Programs and regular social eventsnDog-friendly days and spacesnGenerous product discount and giftingnAt Charlotte Tilbury Beauty, we celebrate and support diverse backgrounds, cultures, voices, beliefs, and perspectives in our global workforce. By doing so, we better serve our communities, customers, employees – and the candidates that take part in our recruitment process.nIf you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page.nJob details: Seniority level Mid-Senior level; Employment type Full-time; Job function Analyst; Industries Technology, Information and Internet

#J-18808-Ljbffrn

About Charlotte Tilbury BeautynFounded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace.nOver the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.nToday, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.nAbout the role

The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications.nAs AI & ML Engineer you will be responsible fornThe role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities includenPartnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions.nDesigning and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.nBuilding and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).nDeveloping APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.nImplementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.nEstablishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.nDriving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the business.nCollaborating with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end.nWho you will work withnThe AI & ML Engineer Lead and the wider data team.nAbout younThe role requires a blend of technical depth and product sense, includingnBachelor’s or Master’s degree in Computer Science, Engineering, or related field.nStrong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).nHands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraphnSolid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.nProven experience deploying and operating ML systems in production (batch and real-time).nFamiliarity with RAG architectures, prompt engineering, and evaluation techniques.nStrong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).nExcellent communication skills and ability to work with non-technical stakeholders.nIn addition to the above, we would LOVE if you havenExperience with vector databases and retrieval strategies.nKnowledge of recommender systems and ranking models.nFamiliarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).nExposure to feature stores, data lineage, and observability stacks.nExperience in e-commerce or retail environments.nDemonstrable ability to weigh up build/build/configure decisions in the LLM space.nThe role is in a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global dream team are key. We welcome applicants with varying levels of experience provided necessary skills can be demonstrated.nWhy join us?

Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselvesnWe’re a hybrid model with flexibility, allowing you to work how best suits youn25 days holiday (plus bank holidays) with an additional day to celebrate your birthdaynInclusive parental leave policy that supports all parents and carers throughout their parenting and caring journeynFinancial security and planning with our pension and life assurance for allnWellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleaguesnBring your furry friend to work with you on our allocated dog friendly days and spacesnAnd not to forget our generous product discount and gifting!nAt Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.nIf you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!

#J-18808-Ljbffrn