1,707 Ml Engineer jobs in the United Kingdom

• Lead the design, development, and implementation of advanced deep learning models.
• Architect and build scalable machine learning systems and pipelines.
• Conduct research and experimentation to identify novel AI solutions.
• Train, evaluate, and deploy deep learning models using state-of-the-art techniques.
• Mentor and guide junior AI/ML engineers and researchers.
• Collaborate with cross-functional teams to define project requirements and deliverables.
• Stay current with the latest advancements in AI, deep learning, and related fields.
• Contribute to the company's AI strategy and roadmap.
• Publish research findings and present work at industry conferences (optional).

• MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 7 years of professional experience in AI/ML development, with a strong focus on deep learning.
• Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
• Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, NumPy, Pandas).
• Experience in areas such as NLP, Computer Vision, or Reinforcement Learning.
• Strong understanding of algorithms, data structures, and software engineering best practices.
• Proven ability to lead technical projects and mentor teams.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills for remote collaboration.

• 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.

• 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.

• 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.

• 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.

AWS Cloud ML Engineer required on a contract basis, requiring travel to an office in Cheshire 2 days per week, on an initial 6-month contract.

This role will work with the organisation's existing team to support the delivery of one of the organisation's key strategic initiatives.

Experience required:

• AWS Data/ML Engineering & ML Ops (ECS, Sagemaker)
• CI/CD pipelines (GitLab, Jenkins)
• Python, PySpark & Big Data ecosystems
• AI/ML lifecycle, deployment & monitoring
• MLOps tooling (MLflow, Airflow, Docker, Kubernetes)
• Front-end exposure (HTML, Flask, Streamlit)
• RESTful APIs & backend integration

If this ML Engineer role is of interest, please apply now for immediate consideration.

AWS Cloud ML Engineer required on a contract basis, requiring travel to an office in Cheshire 2 days per week, on an initial 6-month contract.

This role will work with the organisation's existing team to support the delivery of one of the organisation's key strategic initiatives.

Experience required:

• AWS Data/ML Engineering & ML Ops (ECS, Sagemaker)
• CI/CD pipelines (GitLab, Jenkins)
• Python, PySpark & Big Data ecosystems
• AI/ML lifecycle, deployment & monitoring
• MLOps tooling (MLflow, Airflow, Docker, Kubernetes)
• Front-end exposure (HTML, Flask, Streamlit)
• RESTful APIs & backend integration

If this ML Engineer role is of interest, please apply now for immediate consideration.

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.

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 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.

As AI & ML Engineer you will be responsible for

The 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 with

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

About you

The 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!

AI/ML Engineer – Contract
6-Month Contract | View to Extend | London (Hybrid)

Morela is proud to be supporting our growing AI customer in their search for an experienced AI/ML Engineer . This role offers the chance to contribute to cutting-edge projects within a dynamic and innovative environment.

What we’re looking for:

• Proven experience in AI/ML model development and deployment

• Strong skills with Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP)

• MLOps assurance and risk experinece 

• Knowledge of data pipelines, model optimisation, and real-world deployments

Details:

• Contract: 6 months (with view to extend)

• Location: London (Hybrid)

• Start: ASAP

If you’re interested, please apply or reach out to the Morela team for further details.

AI/ML Engineer – Contract
6-Month Contract | View to Extend | London (Hybrid)

Morela is proud to be supporting our growing AI customer in their search for an experienced AI/ML Engineer . This role offers the chance to contribute to cutting-edge projects within a dynamic and innovative environment.

What we’re looking for:

• Proven experience in AI/ML model development and deployment

• Strong skills with Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP)

• MLOps assurance and risk experinece 

• Knowledge of data pipelines, model optimisation, and real-world deployments

Details:

• Contract: 6 months (with view to extend)

• Location: London (Hybrid)

• Start: ASAP

If you’re interested, please apply or reach out to the Morela team for further details.