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For Companies At a Glance
- Tasks: Design and deploy AI solutions that tackle real business challenges.
- Company: Join a leading company at the forefront of AI innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to accessibility and inclusion.
- Why this job: Shape the future of AI while making a meaningful impact on customers.
- Qualifications: Strong background in Computer Science or Data Science; experience with AI models.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a passionate AI Engineer to design, build, and deploy intelligent solutions that solve real business challenges. You’ll apply expertise in machine learning and prompt engineering to create scalable systems that deliver measurable impact. This role blends hands-on technical delivery with cross-team collaboration, giving you the opportunity to shape how AI is applied across the organisation and ensure innovation leads to meaningful results.
Key Responsibilities
- Model Selection: Evaluate, compare, and recommend AI models that fit business problems, ensuring compliance and ethical standards.
- Design: Develop and optimise prompts, experiment with structures, and build scalable frameworks to ensure accuracy and fairness.
- Engineering: Build prompt libraries, develop automation tools, and optimise performance across platforms.
- Implementation: Monitor deployed solutions, refine based on feedback, and embed AI into customer-facing applications.
- Data Handling: Analyse training data, ensure governance and privacy compliance, and identify gaps in data quality.
- Integration: Collaborate with automation engineers and product teams to embed AI into workflows and validate outputs.
- Documentation & Collaboration: Maintain AI asset records, document processes, and engage stakeholders to refine solutions.
- Quality Assurance & Compliance: Test rigorously, develop evaluation metrics, mitigate risks, and ensure adherence to standards (ISO27001, CE+).
Skills & Experience
- Familiarity with large language models (e.g., GPT, LLaMA, Meta).
- Experience in prompt engineering and tuning.
- Strong analytical and problem-solving skills.
- Excellent communication skills across technical and non-technical teams.
- Competence in preparing datasets for AI use.
- Ability to recognise and mitigate model hallucinations.
- Experience deploying AI solutions in cloud environments.
- Awareness of emerging trends in generative AI.
- Strong stakeholder and relationship management skills.
- Experience with CI/CD pipelines and MLOps.
- Background in Healthcare or Legal AI applications.
- Ability to present AI metrics via dashboards or reporting tools.
- Experience embedding AI into user-facing applications.
- Experience managing and coaching AI teams.
- Familiarity with agile delivery and product lifecycles.
Qualifications
- Required: Strong background in Computer Science, Data Science, or related fields.
- Desirable: Degree or Master’s in AI, Computer Science, Data Science, or related field.
Why Join Us?
This is your chance to be at the forefront of AI innovation, working on projects that directly impact the business and its customers. You’ll collaborate with talented teams, experiment with cutting-edge models, and help shape the future of intelligent solutions.
We’re proud to share that ExamWorks UK has once again achieved Level 3 Disability Confident Leader status, reaffirming our commitment to inclusion and accessibility.
As a Disability Confident Leader, we:
- Promote accessibility and inclusion
- Ensure inclusive recruitment and development
- Share best practice across the industry
- Continue to lead the way in supporting disabled people at work.
Artificial Intelligence Engineer in Horwich employer: ExamWorks UK
Contact Detail:
ExamWorks UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Horwich
✨Network Like a Pro
Get out there and connect with folks in the AI space! Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. Potential employers love to see what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning concepts and prompt engineering skills. Practice common interview questions and be ready to discuss your past projects in detail.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to join our team.
We think you need these skills to ace Artificial Intelligence Engineer in Horwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your expertise in machine learning, prompt engineering, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific examples of your work that demonstrate your problem-solving skills.
Showcase Your Projects: If you've got any personal or professional projects related to AI, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve deploying AI solutions or working with large language models.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at ExamWorks UK
✨Know Your Models
Familiarise yourself with various AI models, especially large language models like GPT and LLaMA. Be ready to discuss how you would evaluate and select the right model for specific business challenges, showcasing your understanding of compliance and ethical standards.
✨Showcase Your Prompt Engineering Skills
Prepare examples of prompts you've designed or optimised in the past. Discuss the structures you experimented with and how they improved accuracy and fairness in AI outputs. This will demonstrate your hands-on experience and creativity in problem-solving.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, such as automation engineers and product teams. Share specific instances where your collaboration led to successful AI integration into workflows, emphasising your strong stakeholder management skills.
✨Be Data Savvy
Brush up on your data handling skills, particularly in preparing datasets for AI use. Be prepared to discuss how you ensure data quality and compliance with governance and privacy standards, as this is crucial for the role.