1,022 Senior Ml Engineer jobs in the United Kingdom

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

About TrustFlightnTrustFlight is an innovative aviation software company that specializes in developing cutting-edge AI, digital workflow and analytics applications for the aviation industry. Our software empowers many of the world's airlines, airports, and aviation service providers to enhance safety, optimize their operations and improve overall efficiency.

Why Join TrustFlightnOur Mission : To revolutionize aviation by delivering digital workflow solutions that enhance safety, streamline operations, and inspire confidence across the industry.

Impact : Over 200,000 users rely on our systems daily, making aviation safer and more efficient.

Core Values : Guided by integrity, responsibility, innovation, and excellence, we are committed to empowering our partners to operate with confidence.

Your RolenAs part of our engineering team, you’ll work with cutting-edge AI/ML to automate complex manual tasks, improving safety-critical processes across aviation. Reporting to the Director of Engineering, you’ll take ideas from inception to real-world deployment, shaping both our AI strategy and the future of aviation software.

This is a unique opportunity for a curious, self-motivated engineer, whether you’re completing a Master’s, PhD, or already have hands-on experience, who wants to see their work have a direct, large-scale impact.

What You’ll Be Doing

Drive the full lifecycle of AI/ML solutions, from research/prototyping to deployment in production and monitoring.

Partner with product managers, subject matter experts, and engineers to enhance existing products and build new AI-powered features.

Deliver solutions that create tangible value for customers while laying the foundation for the UK AI Engineering team.

QualificationsnWe’re looking for candidates with a background in AI, Machine Learning, or a related field (BSc, MSc, or PhD). You don’t need to have experience with everything; we’re excited to hear from curious, motivated engineers who want to grow and learn on the job.

You would have experience with some of the following technologies and areas:

Python and ML/NLP frameworks such as scikit-learn, TensorFlow, or PyTorch

Large/Small Language Models (LLMs/SLMs) and libraries like Hugging Face Transformers

Prompt engineering for tasks like summarization, Q&A, or information extraction

Fine-tuning transformer-based models (LoRA, PEFT, etc)

Speech recognition systems (Whisper, wav2vec 2.0, Kaldi, DeepSpeech)

Document AI / OCR tools (Tesseract, AWS Textract, Google Document AI)

Evaluation metrics for NLP/ASR/LLM tasks (WER, BLEU, ROUGE, perplexity, factual consistency)

What Makes You Stand Out

Collaboration skills: Working effectively in a team environment with openness to feedback and a knack for translating ideas into production-ready solutions.

Growth mindset with self-leadership: A proactive, results-oriented approach that combines strong self-direction with learning agility, continuously seeking new knowledge, adapting quickly, and taking ownership of growth in a fast-paced, evolving environment.

A passion for aviation or interest in safety-critical systems is always a bonus!

LocationnThis role will be based out of our office in London. This is an on-site role with room for flexibility, because we know life doesn't always fit a 9-to-5 mould.

Why Join Us

See Your Impact: Your contributions directly enhance the safety and efficiency of aviation operations, affecting hundreds of thousands of passengers and crew every month.

Build and Create: Be part of an environment where you'll have the freedom to innovate, build, and create solutions that define the future of digital aviation.

Growth Opportunity: Join us at an inflection point as we scale our revenue growth using cutting-edge AI tools and SaaS best practices.

Also, we offer

Health & Wellness: Comprehensive benefits package including health and dental benefits. Paid time off plus an extra day off to celebrate your birthday.

Invest in your future: Take advantage of our company contribution to pension/RRSP matching program to grow your savings while you work.

Professional Growth: As a fast-growing company, we offer incredible opportunities for career advancement and skill development.

Competitive salary range: We place huge importance on the contribution and experience you bring to the team. The base pay offered is based on location and may vary depending on skills, job related knowledge, experience and internal equity.

How to ApplynClick Apply! Send us your resume, including a cover letter. Let us know how you can contribute to creating best-in-class tools and services throughout the aviation industry.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted. No phone calls please.

TrustFlight is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all qualified individuals, regardless of race, gender, age, disability, religion or belief, sexual orientation, or any other characteristic protected by UK law.

#J-18808-Ljbffrn

About Us

TrustFlight is an innovative aviation software company that specializes in developing cutting-edge AI, digital workflow and analytics applications for the aviation industry. Our software empowers many of the world's airlines, airports, and aviation service providers to enhance safety, optimize their operations and improve overall efficiency.nWhy Choose TrustFlight?

Our Mission : To revolutionize aviation by delivering digital workflow solutions that enhance safety, streamline operations, and inspire confidence across the industry.nImpact : Over 200,000 users rely on our systems daily, making aviation safer and more efficient.nCore Values : Guided by integrity, responsibility, innovation, and excellence, we are committed to empowering our partners to operate with confidence.nJoin TrustFlight: Shaping the future of Aviation TechnologynYour Role

As part of our engineering team, you’ll work with cutting-edge AI/ML to automate complex manual tasks, improving safety-critical processes across aviation. Reporting to the Director of Engineering, you’ll take ideas from inception to real-world deployment, shaping both our AI strategy and the future of aviation software.nThis is a unique opportunity for a curious, self-motivated engineer, whether you’re completing a Master’s, PhD, or already have hands-on experience, who wants to see their work have a direct, large-scale impact.nWhat you’ll be doing

Drive the full lifecycle of AI/ML solutions, from research/prototyping to deployment in production and monitoring.nPartner with product managers, subject matter experts, and engineers to enhance existing products and build new AI-powered features.nDeliver solutions that create tangible value for customers while laying the foundation for the UK AI Engineering team.nWhat you’ll bring

We’re looking for candidates with a background in AI, Machine Learning, or a related field (BSc, MSc, or PhD). You don’t need to have experience with everything, we’re excited to hear from curious, motivated engineers who want to grow and learn on the job.nYou would have experience with some of the following technologies and areas:nPython and ML/NLP frameworks such as scikit-learn, TensorFlow, or PyTorchnLarge/Small Language Models (LLMs/SLMs) and libraries like Hugging Face TransformersnPrompt engineering for tasks like summarization, Q&A, or information extractionnFine-tuning transformer-based models (LoRA, PEFT, etc)nSpeech recognition systems (Whisper, wav2vec 2.0, Kaldi, DeepSpeech)nDocument AI / OCR tools (Tesseract, AWS Textract, Google Document AI)nEvaluation metrics for NLP/ASR/LLM tasks (WER, BLEU, ROUGE, perplexity, factual consistency)nWhat Makes You Stand Out

Collaboration skills: Working effectively in a team environment with openness to feedback and a knack for translating ideas into production-ready solutions.nGrowth mindset with self-leadership: A proactive, results-oriented approach that combines strong self-direction with learning agility, continuously seeking new knowledge, adapting quickly, and taking ownership of growth in a fast-paced, evolving environment.nA passion for aviation or interest in safety-critical systems is always a bonus!nLocation:

This role will be based out of our office in London. This is an on-site role with room for flexibility, because we know life doesn't always fit a 9-to-5 mould.nWhy join us

See Your Impact : Your contributions directly enhance the safety and efficiency of aviation operations, affecting hundreds of thousands of passengers and crew every month.nBuild and Create : Be part of an environment where you'll have the freedom to innovate, build, and create solutions that define the future of digital aviation.nGrowth Opportunity : Join us at an inflection point as we scale our revenue growth using implement cutting-edge AI tools and SaaS best practices.nAlso, we offer

Health & Wellness : Comprehensive benefits package including health and dental benefits. Paid time off plus an extra day off to celebrate your birthday.nInvest in your future : Take advantage of our company contribution to pension/RRSP matching program to grow your savings while you work.nProfessional Growth : As a fast-growing company, we offer incredible opportunities for career advancement and skill development.nCompetitive salary range : We place huge importance on the contribution and experience you bring to the team. The base pay offered is based on location and may vary depending on skills, job related knowledge, experience and internal equity.nHow to Apply

Click Apply!

Send us your resume, including a cover letter. Let us know how you can contribute to creating best-in-class tools and services throughout the aviation industry.nWhile we sincerely appreciate all applications, only those candidates selected for an interview will be contacted. No phone calls please.nTrustFlight is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all qualified individuals, regardless of race, gender, age, disability, religion or belief, sexual orientation, or any other characteristic protected by UK law.

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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!