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For Companies At a Glance
- Tasks: Design and deploy AI chatbots and automation systems for enhanced user experiences.
- Company: Join a forward-thinking tech company in the West Midlands.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact on digital products.
- Qualifications: Proficiency in Python and a solid grasp of machine learning and NLP principles.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 30000 - 50000 £ per year.
Location: West Midlands
Working Pattern: Hybrid
Role Overview
As an AI Engineer, you will design, build, and deploy AI-driven conversational agents, chatbots, and automation systems for websites, digital products, and enterprise tools. You will work with NLP, machine learning, and generative AI frameworks to create smart, human-like interactions that improve user experience and operational efficiency.
Key Responsibilities
- Design, develop, and deploy AI-powered chatbots for websites, SaaS products, and enterprise platforms.
- Build custom conversational flows using NLP, LLMs, and generative AI tools (e.g., GPT, Rasa, Dialogflow).
- Develop and refine machine learning models and natural language understanding (NLU/NLP) modules.
- Integrate models with software platforms via APIs, ensuring secure and seamless deployment.
- Collect, preprocess, and analyse structured and unstructured data for model training.
- Continuously test, optimise, and fine-tune models to improve performance, accuracy, and scalability.
- Work with product designers, developers, and business stakeholders to align chatbot solutions with business goals.
- Document processes, architecture, and technical specifications for scalability and future enhancement.
- Stay up to date with the latest AI/ML advancements (LLMs, speech-to-text, prompt engineering, autonomous agents).
- Recommend and implement new technologies to enhance SaaS offerings and digital solutions.
Required Skills & Qualifications
- Strong proficiency in Python (experience with Java is a bonus).
- Solid understanding of Machine Learning, Deep Learning, and NLP principles.
- Hands-on experience with frameworks such as TensorFlow, PyTorch, SpaCy, NLTK, Hugging Face, Rasa, or Dialogflow.
- Experience building and integrating RESTful APIs.
- Good knowledge of data preprocessing, algorithms, and statistical analysis.
- Excellent analytical and problem-solving skills with the ability to think both logically and creatively.
Nice-to-Have / Preferred Experience
- Experience with LLMs (e.g., GPT, Claude, Gemini), prompt engineering, or custom model training.
- Experience building voice-based AI agents or chatbots.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud).
- Understanding of MLOps, deployment pipelines, or containerisation (Docker/Kubernetes).
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Information Technology
Industries: Software Development
AI Engineer (Ref: 193791) employer: Forsyth Barnes
Contact Detail:
Forsyth Barnes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Ref: 193791)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. 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 projects, especially those involving chatbots or machine learning models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and NLP questions. Practice explaining your past projects and how you tackled challenges. Confidence is key, so rehearse until you feel ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer (Ref: 193791)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, machine learning, and NLP frameworks. We want to see how your skills align with what we're looking for!
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 makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's chatbots or machine learning models, we love seeing practical examples of your work!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Forsyth Barnes
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, TensorFlow, and NLP frameworks. Brush up on your knowledge of machine learning principles and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems using AI and machine learning. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to building chatbots or integrating APIs.
✨Stay Current with AI Trends
Familiarise yourself with the latest advancements in AI and machine learning, particularly around LLMs and generative AI. Being able to discuss recent developments or technologies will show your passion for the field and your commitment to continuous learning.
✨Align with Business Goals
Understand how AI solutions can drive business value. Be prepared to discuss how your work as an AI Engineer can align with the company's objectives and improve user experience. This shows that you’re not just technically skilled but also business-savvy.
