AI Engineer

Inference Group
Nottingham
1 year ago
Applications closed

Related Jobs

View all jobs

AI Engineer / Machine Learning Engineer

AI Engineer Machine Learning LLM - Polish Speaking

AI Platform Engineer (DevOps / MLOps Focus)

Senior MLOps Engineer

Machine Learning Engineer (Manager)

Machine Learning Engineer III

Who are Inference Group?


Are you excited by being a part of a company that’s redefining the future of data and AI? Welcome to Inference Group, where we’re not just a tech startup – we’re a team of passionate innovators devoted to empowering businesses through the transformative power of data, machine learning, and AI.


At Inference Group, we’re on a mission to help businesses unlock their true potential and drive sustainable growth. As we rapidly expand, we’re looking for like-minded, creative technical experts who want to make a real impact. Here, you’ll work alongside leading experts in data, AI, and technology - helping to guide our customers in harnessing the full potential of their data.


Join us, and you’ll be at the forefront of the data and AI revolution. You’ll have the opportunity to turn cutting-edge concepts into scalable, operational solutions that enhance human creativity and decision-making. Our team is committed to delivering innovative investigative solutions to customers worldwide, helping them navigate and thrive in an AI-driven world.


As we continue to grow we are now seeking a skilled AI Engineer to broaden our engineering capabilities - this will involve creating, programming and training complex networks of algorithms to grow our AI programmes, evaluating and comparing algorithm performance based on large, real-world data sets, designing and implementing Machine Learning algorithms and undertaking various data mining exercises from various sources to gain valuable insights to accelerate existing algorithms and future models.


This role will involve oversight of ongoing AI/ML engineering projects where you will play a crucial role in supporting our clients objectives by providing important technical insights into ongoing tech transformation and delivery, this will involve creating intelligent AI models which utilise deep learning, neural networks and ML algorithms to gain key business insights and create opportunities for informed decision making and future planning.


We are looking for someone well versed in programming, software engineering and data science fields with solid previous experience of building, training and deployment using Microsoft Azure products who is passionate and curious about ongoing development within the AI/ML space and dedicated to creating new opportunities for our clients to learn and evolve within these fields.


The ideal person for this role would have previous experience of delivering engineering projects focused on realising the potential of AI/ML within a similar consultancy space with hands on experience of using all or some of the following technologies; Azure Machine Learning (Azure ML), Azure Kubernetes Service (AKS), Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, Azure DevOps, PowerBI, Azure OpenAI Service ect


This role provides a unique opportunity for a proactive and driven person to take their engineering career to the next level. We are excited to work with someone who considers themselves a Tech Enthusiast - you love tech and can’t wait to learn more about projects, systems and data, with an aptitude for challenging existing ways of working, able recognise opportunities and identify innovative solutions that add real value to clients.


If you’re a driven person with a love of life long learning, who is naturally curious and eager to contribute to the early stages of a dynamic consultancy, we would love to have you on board! As a team, we will explore the limitless opportunities of data and AI, driving excellence and having a lot of fun along the way.


We are a young, small company experiencing exciting growth and we are devoted to hire people at this stage who will be future leaders within our business. We are committed to your ongoing learning and development and love working with curious, life long learners - we have access to the latest technology and will provide training in these and certifications to help you grow and succeed.


As AI is constantly changing and evolving, we make a promise to our customers that we foster a culture of excellent people who have the most up to date training, knowledge and experience to help deliver innovative solutions.


If you like our mission and connect with our values, we encourage you to apply.

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.