Senior AI Engineer

London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Senior AI MLOps Platform Engineer - Scale Resilient Cloud

Senior Machine Learning & AI Engineer

Senior Platform Engineer - AI MLOps Oxford, England, United Kingdom

Senior MLOps Engineer: AI-Driven Banking Platform

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.