Senior AI Engineer

London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Artificial Intelligence Engineer

Senior AI Engineer: GenAI, MLOps & Cloud Architect

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

Senior Lead Analyst - Data Science_ AI/ML & Gen AI - UK

Senior AI Data Engineer - ML, NLP & MLOps

Senior AI/Generative Data Engineer: LLMs, MLOps, Cloud

Fully remote position.

My growing client who have recently IPO'd, are seeking an experienced Senior AI Engineer to work on end-to-end solutions, as well as collaborating with cross functional teams to achieve this. You will also be creating Cost Models.

Key responsibilities:

  • Working within a core AI team responsible for new solutions, augmentation and extension of current solutions

  • Building an understanding of where suitable areas for AI incorporation make business sense. working in conjunction with other functions and support the product and technology roadmap, as well as contributing ideas to it

  • Focus on creating intelligent systems that learn from data and work on integrating this into a wider system to augment an existing product’s capabilities

  • Lead in developing intelligent features into future product

  • Develop and have input into the design and architecture of the system

  • Working with both internal and external stakeholders

  • Help shape their technology stack now and into the future

  • Create suitable cost models to help aid decision making and options

  • Identify potential risks in the process i.e. governance and work proactively to mitigate these.

  • Acting as a design sounding board to other AI business areas when required

  • Building and contributing to key strategy, processes and artifacts to support the AI function

    Key requirements:

  • Excellent communication (written and verbal) and interpersonal skills

  • Able to work individually and as part of a team

  • Strong analytical and problem-solving abilities

  • Self-motivated with a strong work ethic and attention to detail

  • Adaptability and willingness to learn and share

  • Possessing a genuine interest in keeping up to date with industry and emerging trends in AI

  • Have recognised Azure certifications (e.g. Azure Fundamentals)

  • Experience with Data Analytics and Machine Learning Algorithms.

  • Have experience in running AI models in production on Azure, as well as with deployment platforms.

    If this sounds like you, then please apply now for immediate consideration

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.