At a Glance
- Tasks: Design and implement AI/ML models to solve real-world business challenges.
- Company: Join a fast-growing consultancy empowering businesses with data and AI.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team culture focused on learning and transparency.
- Why this job: Make a real impact in AI innovation while collaborating with industry experts.
- Qualifications: Strong programming skills and experience in AI/ML projects.
The predicted salary is between 28800 - 48000 £ per year.
About Us:
We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here, you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data.
We’re entering our next phase of growth and are looking for a skilled AI Engineer to broaden our engineering expertise — designing, programming, and training complex networks of algorithms to expand our AI programmes.
What you\'ll be doing
In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI-driven insights that enable better business decisions and strategic planning. This is a hands-on, high-impact role for someone who is creative, curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation.
- Design, develop, and deploy AI/ML models using Microsoft Azure technologies.
- Build, train, and fine-tune machine learning models and algorithms to solve business challenges.
- Assess algorithm performance against large, real-world data sets.
- Support and oversee ongoing AI/ML engineering projects and delivery for multiple clients.
- Implement scalable, production-ready AI solutions using best practices in MLOps.
- Collaborate with consultants, clients and data engineers to deliver robust, high-value client solutions.
- Contribute to the continuous evolution of our AI capabilities by identifying and applying emerging tools and techniques.
Location: This is a remote role but we are ideally looking for someone in London.
What You Bring
We’re looking for someone with a strong foundation in programming, software engineering, and data science, with a track record of delivering engineering projects that realise the potential of AI/ML. You’ll bring experience in some or all of the following:
- Hands-on experience delivering AI/ML engineering projects, ideally within a consultancy or data-driven business.
- A deep curiosity for ongoing development in AI/ML and emerging tech.
- Confident, credible and able to communicate internally and externally
- Analytical mindset with a passion for solving complex, real-world problems.
- Excellent communication and collaboration skills — you enjoy working in a team that values learning and transparency.
- Deep experience across the Microsoft Azure ecosystem:
- Azure Machine Learning (Azure ML)
- Azure Kubernetes Service (AKS)
- Azure Data Lake Storage
- Azure Cosmos DB
- Azure SQL Database
- Azure DevOps
- Power BI
- Azure OpenAI Service
We believe in making the most of the journey. If you’re ambitious, inventive, and eager to contribute to the early stages of a fast-growing consultancy, we’d love to have you on board. We’ll explore the limitless opportunities of data and AI – driving excellence and having plenty of fun along the way.
AI Engineer in Newport employer: Inference Group
At Inference Group, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As an AI Engineer, you'll have the opportunity to work remotely while being part of a passionate team in London, where your contributions will directly impact client success and drive sustainable growth. We offer continuous learning opportunities, a supportive environment for professional development, and the chance to work with cutting-edge technologies in AI and machine learning, making it an exciting place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Newport
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, algorithms, and any cool stuff you've built. This is your chance to demonstrate your creativity and technical prowess to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out!
We think you need these skills to ace AI Engineer in Newport
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you're not just skilled, but genuinely excited about the potential of these technologies to transform businesses.
Tailor Your Experience:Make sure to highlight your relevant experience in programming, software engineering, and data science. Use specific examples from your past projects that demonstrate how you've tackled real-world problems using AI/ML.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure to explain your contributions in a way that anyone can understand.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Inference Group
✨Know Your Algorithms
Make sure you brush up on your knowledge of machine learning algorithms and their applications. Be prepared to discuss specific algorithms you've worked with, how you evaluated their performance, and the real-world data sets you used. This will show your technical expertise and your ability to apply theory to practice.
✨Showcase Your Projects
Bring examples of your previous AI/ML projects to the interview. Whether it's a GitHub repository or a case study, having tangible evidence of your work can really impress the interviewers. Highlight your role in these projects, the challenges you faced, and how you overcame them.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex concepts in simple terms. You might be asked to explain your thought process or how you would approach a problem. Clear communication will demonstrate your ability to work well with clients and team members alike.
✨Stay Curious and Informed
Show your passion for AI and machine learning by discussing recent trends or emerging technologies in the field. This could be anything from advancements in Azure services to new algorithmic techniques. Your enthusiasm and curiosity will resonate well with the interviewers and align with their innovative culture.
