AI Engineer - FDE (Forward Deployed Engineer)

Databricks
London, United Kingdom
Last week
Posted
9 Apr 2026 (Last week)

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

Req ID: CSQ426R186

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Related Jobs

View all jobs

AI Engineer

Tatton Recruitment South Bank, SE1 9PZ, United Kingdom

AI Engineer

Queen Square Recruitment Lime Street, United Kingdom

AI Platform Engineer

The Portfolio Group Castle Baynard, United Kingdom

AI Platform Engineer (DevOps / MLOps Focus)

The Portfolio Group London, United Kingdom

AI Platform Lead

Vivo Talent London, United Kingdom

Java Full Stack Developer

Queen Square Recruitment London, United Kingdom

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Cloud Computing Jobs in the UK (2026 Guide)

Advertising cloud computing jobs in the UK requires a different approach to most technical hiring. The candidate pool is large relative to other deep tech disciplines but highly segmented — cloud architects, DevOps engineers, platform engineers, FinOps specialists and cloud security professionals each occupy distinct communities with different job search behaviours, certification profiles and salary expectations. General job boards reach a broad audience but struggle to differentiate between these disciplines, producing high application volumes but low candidate quality for specialist cloud roles. This guide, published by CloudComputingJobs.co.uk, covers where to advertise cloud computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Cloud Computing Employers to Watch in 2026: UK and Global Companies Powering the Digital Economy

Cloud computing is no longer just a backbone technology—it is now the engine of digital transformation, underpinning everything from AI and fintech to healthcare and government services. For professionals browsing CloudComputingJobs.co.uk, the biggest opportunities lie with new and fast-scaling employers that are investing heavily in infrastructure, platforms, and next-generation cloud services. In this article, we explore the new cloud computing employers to watch in 2026, focusing on UK-based startups, scale-ups, and global companies expanding their footprint across Britain. These organisations have recently secured funding, launched major projects, or won strategic contracts—clear signals of hiring growth.

Cloud Engineer Jobs in the UK: Salary, Skills, Career Paths & How to Get Hired

Cloud engineer jobs are among the fastest-growing technology roles in the UK. As organisations move infrastructure, applications and data into the cloud, demand for skilled cloud professionals continues to surge across finance, healthcare, retail, defence, government and high-growth startups. If you’re exploring a career in cloud engineering — or looking for your next role — this guide covers everything you need to know: What a cloud engineer does Types of cloud engineer jobs Required skills and certifications UK salary expectations Career progression pathways How to land a cloud engineer job in the UK Whether you’re a graduate, IT professional transitioning into cloud, or an experienced engineer looking to specialise, this article will help you position yourself competitively.