Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

The role We are looking to hire an AI Engineer to join our Data team in London. This is an office-based role out of o...

Remote Ai Engineer Data Science Ai

Fully remote

View details

What you’ll do: Contribute to the design, development, and maintenance of data pipelines and workflows, ensuring reli...

Fulltime Remote Machine Learning Data Engineer

Fully remote

View details

Stage - Data Scientist - H/F Votre rôle au quotidien La Fonction Conformité veille à préserver le Groupe de toutes le...

Fulltime Internship Data Science Ai

Fully remote

View details

Passionate about AI innovation? Join us to develop and deploy advanced GenAI solutions that transform insurance opera...

Ai Ai Engineer Data Science

Fully remote

View details

Orbis Operations is seeking an experienced Data Scientist with a focus on training, building, and implementing Large ...

Fulltime Remote Ai Data Science

Fully remote

View details

End Date Thursday 22 January 2026 Salary Range £72,702 - £80,780 We support flexible working – click here for more in...

Fulltime Ai Ai Engineer Machine Learning

$92k - $102k* · Senior Fully remote

View details

Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the...

Fulltime Ai Machine Learning Data Science

$186k - $280k · Senior Fully remote

View details

Posted Date 1/05/2026 Principal AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Lea...

Fulltime Ai Machine Learning Data Science

$147k - $230k · Senior Fully remote

View details

Job ID: 712046BR Date posted: Dec. 01, 2025 THE WORK This senior role fosters collaboration with other senior enginee...

Fulltime Remote Ai Machine Learning

$128k - $225k · Senior Fully remote

View details

Job ID: 711766BR Date posted: Dec. 01, 2025 Ops AI Engineer Senior (Level 3) The Operations Systems and Modeling AI t...

Fulltime Remote Ai Ai Engineer

$711k* · Senior Fully remote

View details

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, a...

Fulltime Data Science Ai

Fully remote

View details

Company Description When it comes to being wild, we know a thing or two. We’re not afraid of trying something new or ...

Fulltime Data Science Ai

$130k - $150k · Senior Fully remote

View details

This position is open to all applicants in Colorado and New Mexico. In order to be considered, please complete this D...

Fulltime Remote Data Science Ai

$89k - $101k · Senior Fully remote

View details

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Sc...

Fulltime Ai Deep Learning Generative Ai

$150k - $260k · Senior Fully remote

View details

Clark Associates, a distinguished leader in the foodservice equipment and supplies industry, is seeking a dedicated a...

Remote Machine Learning Data Science Ai

$70k* · Senior Fully remote

View details

Date Posted: 2025-11-05 Country: United Kingdom Location: GBR29: Gloucester, 18b Ley Court, Barnwood Industrial Estat...

Fulltime Remote Machine Learning Data Science

$180k* · Senior Fully remote

View details

Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by ...

Fulltime Remote Ai Machine Learning

$77k - $176k · Senior Fully remote

View details

Location: San Jose Team: Technology Employment Type: Regular Job Code: A229672A Responsibilities About The Team: Esta...

Ai Robotics Generative Ai

$118k - $259k · Senior Fully remote

View details

About ETS: ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be fut...

Fulltime Remote Data Science Ai

Fully remote

View details

The Statistician / Data Scientist applies statistical analysis, machine learning, numerical optimization, and data-dr...

Fulltime Machine Learning Data Science Ai

$52k - $79k · Senior Fully remote

View details

Selected role

AI Engineer

WGSN London, ENG, GB

Senior Full-time

The role

We are looking to hire an AI Engineer to join our Data team in London.

This is an office-based role out of our London office.

*Working at WGSN

Together, we create tomorrow**

A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow.

WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you.

Role overview

The foundation of WGSN is our passionate experts. WGSN seeks talent globally to work within a business that offers a unique blend of specialist problem solvers, engineers, data scientists, and innovative thinkers who put trends, creativity and data together to create tomorrow.

As a Full-Stack AI Engineer, you will be responsible for taking AI/LLM models from prototype to production-grade systems that power WGSN products and internal tools. You will be a core member of the Data Science and Engineering function, working closely with data scientists, machine learning engineers, data engineers, and product teams to operationalise models reliably and at scale.

This role requires strong engineering expertise and the ability to transform PoC outputs into robust, secure, high-performing services. You will design and build APIs, inference services, CI/CD pipelines, evaluation frameworks, vector search capabilities, and monitoring systems. This role is essential to enabling WGSN’s next-generation AI capabilities and ensuring models deliver consistent, high-quality performance in production environments.

This position requires a highly pro-active, hands-on engineer who enjoys problem-solving, fast learning, and working across the full AI lifecycle.

*Key accountabilities

AI Architecture & Model Engineering**

Build, deploy and maintain production-grade LLM and multimodal models.
Convert experimental notebooks into robust, testable, production-ready services.
Design and implement retrieval-augmented generation (RAG) systems, semantic search pipelines, embeddings, and vector search infrastructure.

ML/LLM Operations (LLMOps / MLOps)

Develop CI/CD pipelines for model deployment, versioning, evaluation and rollback.
Build scalable inference infrastructure using Docker, Kubernetes, and AWS services including Lambda, ECS/EKS, API Gateway, S3 and CloudWatch.
Implement and maintain monitoring for latency, throughput, drift, hallucinations, quality, reliability and operational cost.

Backend Engineering

Design and develop robust APIs and microservices (Python/FastAPI preferred) to expose AI functionality into WGSN products.
Optimise inference performance through batching, caching, autoscaling and efficient resource utilisation.
Ensure all AI services meet reliability, scalability, performance and security requirements.

Data Quality, Evaluation & Governance

Collaborate with Data Engineering and DataOps teams to ensure high-quality, reliable data pipelines for AI training and inference.
Build automated evaluation pipelines, test suites and guardrail systems to ensure safe, predictable model behaviour.
Contribute to AI governance, safety, compliance and responsible-AI frameworks.

Cross-functional Collaboration

Work closely with data scientists, machine learning engineers, data engineers, analysts, platform engineers, designers and product managers to embed models into production features.
Communicate complex technical concepts clearly and effectively to non-technical stakeholders.

Continuous Learning

Stay current on developments in LLMs, multimodal AI, optimisation techniques, AWS technologies and modern MLOps/LLMOps practices.
Evaluate emerging tools, frameworks and best practices to enhance scalability, performance, reliability and developer efficiency.

*This list is not exhaustive and there may be other activities you are required to deliver.

Skills, experience & qualifications required

Essential**

Strong software engineering experience with Python, including building production APIs and services (FastAPI or similar).
Hands-on experience deploying and operating LLM-based systems in production environments.
Practical experience with RAG architectures, embeddings, vector databases, and semantic search.
Experience with AWS services (e.g. Lambda, ECS/EKS, S3, API Gateway, CloudWatch).
Solid understanding of CI/CD, containerisation (Docker) and orchestration (Kubernetes).
Experience designing scalable, reliable, and secure backend systems.
Strong problem-solving skills and ability to move from prototype to production-grade solutions.
Ability to collaborate effectively with data scientists, data engineers, product and platform teams.

Desirable

Experience with multimodal models (text, image, video).Familiarity with LLMOps/MLOps tooling, evaluation frameworks, monitoring and guardrails.
Experience working in product-led or data-driven organisations.
Experience optimising inference performance and managing model cost at scale.

Qualifications

Degree in Computer Science, Engineering, Mathematics, or a related field , or equivalent practical experience.
Demonstrated track record of delivering AI or ML-powered systems into production.

What we offer

Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including:

25 days of holiday per year - with an option to buy/ sell up to 5 days
Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness
Employee assistance programme, season ticket loans and cycle to work scheme
Volunteering opportunities and charitable giving options
Great learning and development opportunities.

More about WGSN

WGSN is the global authority on consumer trend forecasting.

We help brands around the world create the right products at the right time for tomorrow’s consumer.

*Our values

We Are Everywhere**

The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere.

We Are Future Focused

We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow.

We Are Rigorous

We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do.

Our culture

An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with.

Inclusive workforce

We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030.

Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people.

We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been—and will continue to be—actively encouraged here, but we do not offer full remote working.

We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you.

A Note for Applicants

We use AI to help our team screen applications and identify candidates whose skills and experience match the role. This technology removes personal information to promote a fair and unbiased process. We believe this tool helps us find the best talent while maintaining transparency and fairness.

A Note for Recruiters

Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together. Since we focus on these established partnerships, we’re unable to respond to unsolicited contacts or CVs from outside our PSL. But don’t worry! If we decide to explore new partnerships, we’ll be sure to reach out.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Showing 3601–3620 of 5,205 AI roles

1 … 179 180 182 183 261

Find your next AI role

AI Engineer

ML Engineer - Data Engineering

Stage - Data Scientist

Data Scientist Expert

Data Scientist

Senior Machine Learning AI Engineer

Principal Data Scientist

Principal AI Data Scientist

Data Scientist with Poly SR DS2

Ops AI Engineer Senior (Level 3)

Data Scientist

Data Scientist - Decision Support, Analytics and Automation

Data Scientist

Senior Applied Scientist, Artificial General Intelligence

Inventory Management Data Scientist

Senior Data Scientist Machine Learning Researcher

Data Scientist

Research Scientist in Large Language Model Graduate (Seed-LLM)- 2026 Start (PhD)

Associate R D Data Scientist

Statistician/ Data Scientist