At a Glance
- Tasks: Design and develop innovative AI solutions using Azure technologies.
- Company: Join a leading tech company focused on groundbreaking AI advancements.
- Benefits: Enjoy competitive salary, comprehensive benefits, and remote work flexibility.
- Other info: Dynamic environment with opportunities for continuous learning and career growth.
- Why this job: Shape the future of AI while collaborating with global experts on exciting projects.
- Qualifications: Experience in AI engineering and strong problem-solving skills required.
The predicted salary is between 60000 - 75000 £ per year.
Job Type - Full time
Location – Remote - UK
Role benefits - Competitive Salary + Benefits Package and more
Become part of making the impossible possible.
About the role:
As an AI Engineer, you will play a key role in designing, developing, and deploying enterprise-grade Azure AI solutions that enable scalable conversational AI, intelligent automation, and advanced analytics across scientific and business workflows. You will combine hands-on engineering with solution design, integrating large language models, vector search technologies, data pipelines, and cloud services into secure, reliable, and governed platforms. Working closely with data scientists, product managers, engineers, and business stakeholders, you will translate complex requirements into practical AI capabilities that deliver measurable business value. You will help drive innovation through intelligent systems while ensuring that solutions are scalable, maintainable, compliant, and aligned with organisational architecture and governance standards. This is an exciting opportunity for an AI professional who is passionate about emerging technologies, enjoys solving complex problems, and wants to help shape the future of AI-enabled products and services.
What you'll be doing:
- Design and implement end-to-end AI solutions using Azure AI Foundry, Azure Machine Learning, and Cognitive Services to support innovative business and scientific applications
- Develop, fine-tune, and deploy Large Language Model (LLM)-powered chatbots and autonomous AI agents that enhance user experiences and business processes
- Define, maintain, and optimise AI models, data flows, and integration patterns across enterprise platforms
- Collaborate with data scientists, data engineers, product managers, and business stakeholders to translate requirements into scalable technical solutions
- Integrate AI services, vector databases, embeddings, and cloud-native technologies into secure and resilient architectures
- Ensure AI solutions comply with governance standards, metadata management practices, and traceability requirements
- Contribute to the continuous improvement of AI platforms, frameworks, and engineering practices to drive innovation and operational excellence
- Support the adoption of AI technologies across the business by providing technical expertise and guidance to stakeholders and colleagues
About you:
- Bachelor's degree in Computer Science, Information Technology, or a related discipline, or equivalent practical experience
- Typically 2+ years of experience in AI Engineering, Machine Learning Engineering, or a similar industry role
- Strong experience designing and deploying Azure AI solutions in enterprise environments
- Hands-on experience with Large Language Models (LLMs), vector databases, embeddings, conversational AI, and autonomous agent development
- Proficiency in Python, PowerShell, SQL, JSON, and integrating AI services with wider business applications
- Understanding of AI governance, metadata management, traceability, and responsible AI practices
- Strong analytical and problem-solving skills with the ability to design practical solutions for complex challenges
- Excellent communication and stakeholder engagement skills, with experience collaborating across multidisciplinary teams
- Azure AI certifications are desirable
- Experience in scientific, research, or technology-driven environments would be advantageous
What's in It for You:
- Join an ambitious, growing international organisation where innovation and technology are central to our success
- Play a key role in shaping the future of AI solutions that create value for customers and the business
- Collaborate with global teams of engineers, scientists, and technology specialists working on cutting-edge projects
- Benefit from ongoing learning opportunities and professional development in one of the fastest-growing technology domains
- Enjoy a comprehensive and competitive rewards package designed to support your wellbeing, growth, and success
About us - Malvern Panalytical, Micromeritics and SciAps. Together we are a powerful and highly complementary combination of market leading technologies. We are the toolmakers for the world's most innovative companies, academic institutions, and government laboratories. We are their partners in discovery.
Malvern Panalytical instruments analyze the chemical, physical and structural nature of materials, from proteins to polymers and semiconductors to minerals. Our leading technologies measure particle size, shape, concentration and zeta potential, biomolecular interactions and stability, elemental concentrations and crystallographic structure.
Micromeritics manufactures systems for the characterization of particles, powders, and porous materials for a wide range of end markets including catalysts, chemicals, building materials, clean-tech and battery. Our leading technologies measure surface area, porosity, density, adsorption and particle activity.
SciAps specializes in portable X-ray fluorescence (XRF), laser-based (LIBS) and near-infrared (NIR) analyzers to measure any element in any environment. SciAps is the Center of Excellence for our handheld instruments.
We have a global footprint with R&D and manufacturing sites in North America, Europe, and Asia. We are more than 2,500 employees in a customer-focused organization with sales and service offices in 20 countries, all committed to delivering expert and responsive customer support.
We are part of Spectris. Spectris combines precision with purpose, delivering progress for a more sustainable world. Precision is at the heart of what we do – our leading, high-tech instruments and software equip our customers to solve some of their greatest challenges to make the world cleaner, healthier and more productive.
Malvern Panalytical, Micromeritics & SciAps Your Partners in Discovery. Malvern Panalytical, Micromeritics and SciAps, part of the Spectris Group, are committed to a diverse and inclusive culture where everyone can thrive and achieve a fulfilling career. Changing the world isn’t something you can do on your own, or with a single way of thinking; it takes a wide collection of experiences, stories, knowledge, and expertise. We encourage applications from underrepresented individuals and people with diverse backgrounds. Although we always select the most qualified applicant for each role and make all decisions without regard to race, sex, age, or any other protected class, we are an inclusive, equal opportunity organization that prizes diversity. Your unique perspective is important to us.
AI Engineer employer: Malvern Panalytical
Malvern Panalytical is an excellent employer, offering a dynamic and inclusive work culture that values innovation and collaboration. As a Senior Azure Cloud Architect, you will have access to continuous professional development opportunities, enabling you to grow your skills in a supportive environment. With the flexibility of remote work in the UK, you can enjoy a healthy work-life balance while contributing to impactful projects in cloud technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Malvern Panalytical!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer at Malvern Panalytical.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Malvern Panalytical.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at Malvern Panalytical, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Malvern Panalytical, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Malvern Panalytical. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Malvern Panalytical
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Malvern Panalytical!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
