At a Glance
- Tasks: Design and implement AI/ML models to solve real-world business challenges.
- Company: Join a fast-growing consultancy empowering businesses through data and AI.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team culture focused on learning, transparency, and fun.
- 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 36000 - 60000 £ 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 High Wycombe employer: Inference Group
At Inference Group, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our remote work flexibility, combined with a vibrant team based in London, allows for a dynamic work environment where creativity thrives. We offer ample opportunities for professional growth, continuous learning, and the chance to work on impactful AI projects that drive real change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in High Wycombe
✨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 High Wycombe
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Inference Group
✨Know Your Algorithms
Make sure you brush up on the algorithms relevant to the role. Be prepared to discuss how you've implemented machine learning models in the past, and be ready to evaluate their performance using real-world data sets. This shows your hands-on experience and understanding of the practical applications of AI.
✨Showcase Your Curiosity
Inference Group values creativity and curiosity. During the interview, share examples of how you've explored new technologies or tools in AI/ML. Discuss any personal projects or research that demonstrate your passion for ongoing development in the field.
✨Communicate Clearly
Strong communication skills are key. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with clients and team members. Use examples from your past experiences to illustrate how you've effectively communicated ideas and solutions.
✨Familiarise Yourself with Azure
Since the role involves working within the Microsoft Azure ecosystem, make sure you're comfortable discussing Azure Machine Learning, Azure DevOps, and other relevant services. If possible, have a project or two in mind that showcases your experience with these tools to impress your interviewers.
