AI Engineer (Databricks Specialist)

TechYard; Manchester; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player seeks a passionate AI Engineer to lead the development of innovative solutions using generative AI and Databricks. This role offers the chance to build scalable AI systems and tackle real-world challenges, working with cutting-edge technology and a collaborative team. Join a tech-forward culture that values your contributions and fosters career growth while delivering impactful AI solutions for major organizations. If you are eager to innovate and excel in a dynamic environment, this opportunity is perfect for you.

Benefits

Strong compensation

Flexibility

Career growth opportunities

Collaborative team environment

Access to cutting-edge technology

Qualifications

• 4+ years in AI/ML engineering with hands-on Databricks experience.
• Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn.
• Certifications in Databricks or Azure preferred.

Responsibilities

• Build and manage ML pipelines in Databricks using MLflow and Spark.
• Train and deploy generative models for NLP and content generation.
• Collaborate with teams to deliver real-world AI applications.

Skills

Python

Databricks

Machine Learning

TensorFlow

PyTorch

Scikit-learn

Cloud Computing

Education

Bachelor of Arts

Tools

Databricks-native tools

MLflow

Delta Lake

Spark

Mosaic AI

Azure

AWS

GCP

Job description

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Delivery Consultant @ TechYard Recruitment | Bachelor of Arts

Manchester or London | Full-time | Mid to Senior Level

Are you passionate about building scalable AI and machine learning systems — and fluent in all things Databricks? We’re hiring an AI Engineer to lead the development of next-gen solutions using generative AI, ML, and Databricks-native tools. This is a fantastic opportunity for a skilled engineer who wants to build real-world applications with Databricks at the heart of it all.

This role is ideal for someone who enjoys blending technical precision with innovation. You’ll:

• Build and manage ML pipelines in Databricks using MLflow, Delta Lake, Spark, and Mosaic AI.
• Train and deploy generative models (LLMs, GANs, VAEs) for NLP, content generation, and synthetic data.
• Architect scalable solutions using Azure, AWS, or GCP.
• Optimize performance and maintain model governance using Databricks-native tools.
• Collaborate with cross-functional teams and clients to deliver real-world AI applications.

Required:

• 4+ years in AI/ML engineering with hands-on Databricks experience.
• Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn.
• Cloud experience (Azure preferred, or AWS/GCP).
• Certifications in Databricks or Azure (e.g., Databricks ML Professional).

Why Join Us?

• Work with purpose – deliver AI that solves real-world problems for major organizations.
• Tech-forward culture – thrive in a collaborative team of AI and data specialists.
• Databricks-driven innovation – work at the forefront of platform-native development.
• Career growth – gain hands-on experience with the latest in generative AI and scalable ML systems.
• Competitive package – enjoy strong compensation, flexibility, and benefits.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting and Information Technology

• Industries

  IT Services and IT Consulting

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