Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Engineer

Inference Group
Sheffield
8 months ago
Applications closed

Related Jobs

View all jobs

AI Engineer / Data Scientist

Ai Engineer / Data Scientist

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.