Data engineering for AI jobs

Lead AI Engineer

Kainos · Posted Nov 12, 2026

Open

Remote, United Kingdom
Remote
Full-time · Lead

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Lead AI Engineer

Kainos · Posted Nov 12, 2026

Open

Remote, United Kingdom
Remote
Full-time · Lead

Apply with Referso

AI Engineer Manager

Kainos · Posted Oct 15, 2026

Open

Birmingham, England, United Kingdom
5+ years

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Lead and manage a team of AI engineers to deliver advanced AI solutions, drive adoption of modern AI frameworks, and provide technical leadership across architecture, product design, and engineering excellence.

Responsibilities

Drive adoption of modern AI frameworks and scalable cloud-native architectures
Provide technical leadership and engage with senior stakeholders on architectural principles
Manage, coach, and develop a multidisciplinary AI engineering team
Develop standards and policies for AI delivery
Foster a culture of innovation, continuous learning, and engineering excellence

Requirements

2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field
Nice to have: Deep learning frameworks (PyTorch, TensorFlow)
Nice to have: Fine-tuning or distillation of LLMs (GPT, Llama, Claude, Gemini)
Nice to have: Machine learning libraries (scikit-learn, XGBoost)
Nice to have: Vector databases, semantic search, knowledge graphs

Skills

Python AI/ML solutions delivery AI engineering approaches such as prompt engineering, retrieval-augmented generation, agentic AI

Senior AI Engineer

Kainos · Posted Aug 5, 2026

Open

Birmingham, England, United Kingdom
Senior

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Senior AI Engineer delivering advanced AI solutions leveraging state‑of‑the‑art machine learning, generative and agentic AI technologies.

Responsibilities

Deliver advanced AI solutions leveraging state‑of‑the‑art machine learning, generative and agentic AI technologies
Drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud‑native architectures
Hands‑on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions
Ensure responsible AI practices throughout
Foster a culture of innovation, continuous learning and engineering excellence

Requirements

2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field
Nice to have: deep learning frameworks (PyTorch, TensorFlow)
Nice to have: LLM fine‑tuning or distillation (GPT, Llama, Claude, Gemini)
Nice to have: machine learning libraries (scikit‑learn, XGBoost)
Nice to have: data storage for AI, vector databases, semantic search, knowledge graphs

Skills

Python software engineering best practices (CI/CD, testing, code reviews)modern AI/ML solutions deployment

Data engineering for AI jobs

Responsibilities

Requirements

Skills

Benefits

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills