AI Engineer

Datatech Analytics; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Datatech Analytics in London is seeking an AI Engineer to design, build, and deploy innovative AI solutions at scale within a newly established AI function. The role focuses on Generative AI, LLMs, and data capabilities across the full lifecycle from design to production.

You will work on world-class datasets, collaborate with cross-functional teams, mentor junior engineers, and shape the AI roadmap while balancing performance, security, and cost in a hybrid setup (3 days in the office).

Qualifications

• Hands-on experience in machine learning engineering or applied AI.
• Experience delivering Generative AI applications using LLMs.
• Strong Python programming skills for backend/cloud environments.
• Solid ML fundamentals and working with large datasets for model development.
• Experience with CI/CD, containerisation, MLOps/LLMOps workflows.
• Ability to translate complex business challenges into AI-driven solutions.
• Excellent communication across technical and non-technical stakeholders.
• Commitment to responsible, transparent AI.

Responsibilities

• Design, develop, and deploy scalable AI/ML solutions from concept to production.
• Build AI-powered applications using LLMs and orchestration frameworks.
• Collaborate with data scientists, engineers, PMs, and stakeholders to translate challenges into AI solutions.
• Develop robust, secure AI systems with CI/CD, containers, monitoring, governance, and responsible AI principles.
• Monitor and optimise deployed models for performance, drift, and retraining needs.
• Manage and optimise cloud infrastructure for AI workloads, balancing cost and security.
• Create reusable components, libraries, and templates; contribute to documentation and knowledge sharing.
• Mentor junior engineers through reviews and collaborative learning.

Skills

Machine learning

Generative AI

Python

CI/CD / MLOps

Cloud-native

Data handling

Stakeholder comms

Job description

AI Engineer - London - Hybrid 3 days PW in the office - Salaries in the region of £70,000 - £90,000 depending on skills & experience - J13167

We are seeking an AI Engineer to design, build, and deploy innovative AI solutions that solve complex real-world challenges at scale. Joining a newly established AI function at an exciting early stage, you will play a key role in shaping the future of AI capabilities within the organisation. Working with world-class datasets, you will develop intelligent systems that deliver meaningful impact for customers, enhance operational performance, and support frontline teams.

This is an exciting opportunity for an experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting‑edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across the full AI lifecycle from design and development through to deployment and optimisation. The role offers the chance to build scalable, production‑ready AI applications while collaborating with talented technical teams to deliver solutions that create real business value.

Key responsibilities

• Design, develop, and deploy scalable AI and machine learning solutions, taking projects from concept through to production with a focus on predictive analytics, optimisation, automation, Generative AI, and agentic AI.
• Build AI‑powered applications using Large Language Models (LLMs), orchestration frameworks, and Python within backend and cloud‑based environments.
• Collaborate with data scientists, engineers, product managers, and business stakeholders to translate complex challenges into impactful AI solutions that deliver measurable value.
• Develop robust, secure, and scalable AI systems, embedding best practices across CI/CD, containerisation, monitoring, governance, and responsible AI principles.
• Monitor and optimise deployed models, identifying performance issues, drift, and opportunities for improvement through updates or retraining.
• Manage and optimise cloud infrastructure for AI workloads, balancing scalability, performance, security, and cost efficiency.
• Create reusable components, libraries, and templates to accelerate future AI initiatives, while contributing to technical documentation, best practices, and knowledge sharing across the AI community.
• Support the development of junior engineers through mentoring, code reviews, and collaborative learning.

Required Skills

• Hands‑on experience in machine learning engineering, software engineering, or developing applied AI solutions.
• Proven experience delivering Generative AI applications using Large Language Models (LLMs) and orchestration frameworks.
• Strong Python programming skills, with experience building within modern backend and cloud-native environments.
• Solid understanding of machine learning fundamentals, statistics, and working with complex datasets to support model development, training, fine‑tuning, and inference.
• Experience with CI/CD, containerisation, MLOps/LLMOps workflows, and monitoring AI models in production, including evaluating performance, safety, and cost efficiency.
• Ability to translate complex business challenges into effective AI‑driven solutions with measurable impact.
• Excellent communication skills, with the ability to explain technical concepts clearly to both technical and non‑technical stakeholders.
• Commitment to developing responsible, transparent, and ethical AI solutions.