Inference Group | AI Engineer

Inference Group
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Databricks Data Engineer -London Up to £100K...

(Senior) Forecasting Data Engineer

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, H[...]

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, H[...]

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, H[...]

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, H[...]

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.


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.

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.