933 Ml Engineer jobs in the United Kingdom

Our client is a pioneering technology company at the forefront of AI and Emerging Technologies, seeking an innovative AI/ML Engineer with a specialization in Deep Learning to join their team in Leeds, West Yorkshire, UK . This role will involve designing, developing, and deploying advanced machine learning models to solve complex problems across various domains. You will work with large datasets, cutting-edge algorithms, and collaborate with a talented team of engineers and researchers. The ideal candidate possesses a strong theoretical foundation in machine learning and practical experience in building and scaling deep learning solutions. This is a hybrid role, offering a balance of in-office collaboration and remote work flexibility.

Responsibilities:

• Design, develop, and implement deep learning models and algorithms for applications such as computer vision, natural language processing, or predictive analytics.
• Process, clean, and prepare large datasets for training machine learning models.
• Train, evaluate, and optimize model performance using appropriate metrics and techniques.
• Deploy machine learning models into production environments, ensuring scalability and reliability.
• Collaborate with software engineers to integrate ML models into existing applications and platforms.
• Stay up-to-date with the latest research and advancements in AI, machine learning, and deep learning.
• Conduct experiments and research to explore new approaches and improve existing methodologies.
• Document code, models, and processes thoroughly.
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
• Contribute to the development of AI strategy and roadmaps.
• Participate in code reviews and knowledge sharing within the team.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 3 years of professional experience in developing and deploying AI/ML models.
• Strong proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning concepts, algorithms, and best practices.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles is a plus.
• Excellent problem-solving skills and a passion for innovation.
• Strong analytical and quantitative skills.
• Effective communication and teamwork abilities.
• Experience with model deployment and serving technologies.

This is an exciting opportunity to work on impactful AI projects, contribute to technological advancements, and grow your career in a rapidly evolving field. Join a forward-thinking company that values innovation and collaboration.

Our client, a pioneering technology firm at the forefront of Artificial Intelligence and Emerging Technologies, is seeking a brilliant Senior AI/ML Engineer to join their advanced research and development team. This role is designed for an individual passionate about pushing the boundaries of deep learning and computer vision, contributing to the creation of groundbreaking AI solutions. You will be instrumental in designing, developing, and deploying sophisticated machine learning models, working with large datasets and cutting-edge algorithms. This position offers the flexibility of remote work, allowing you to collaborate with a world-class team from anywhere in the UK.

Key Responsibilities:

• Design, develop, train, and evaluate state-of-the-art deep learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and video analysis.
• Implement and optimize machine learning algorithms and data processing pipelines using Python and relevant frameworks (TensorFlow, PyTorch, Keras).
• Work with large-scale, complex datasets, ensuring data quality, integrity, and efficient preprocessing.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to translate business requirements into effective AI solutions.
• Research and stay abreast of the latest advancements in AI, deep learning, and computer vision, applying novel techniques to solve challenging problems.
• Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
• Develop and maintain robust MLOps practices, including model versioning, monitoring, and continuous integration/continuous deployment (CI/CD).
• Contribute to the intellectual property of the company through research and publications.
• Mentor junior engineers and share technical expertise within the team.
• Participate in code reviews and contribute to high-quality, maintainable code.
• Evaluate and integrate third-party AI tools and technologies.

Qualifications and Skills:

• Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying machine learning models, with a strong focus on deep learning and computer vision.
• Expertise in Python programming and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of computer vision concepts, libraries (e.g., OpenCV), and algorithms.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong mathematical foundation in linear algebra, calculus, and statistics.
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
• Experience with large-scale data processing frameworks (e.g., Spark) is a plus.
• Publications in reputable AI/ML conferences or journals are highly desirable.

This is an exceptional opportunity to work on cutting-edge AI challenges, shape the future of our technology, and contribute to a collaborative and innovative remote-first culture.

AI/ML Engineer - Hardcore Build Role
Salary up to £170k + Equity
(London, 6-Day Week currently)


Building the AI platform that powers insurance claims, helping people get support at life's most critical moments.

Forget the slow, broken way claims are handled today. By blending AI, with specialist expertise to deliver fast, accurate, 5-star experiences. This is not a cushy gig. It's a high-intens.

WHJS1_UKTJ

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