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- Tasks: Lead AI & ML model training and ensure reliable performance in production.
- Company: A-SAFE pioneers industrial safety solutions, partnering with global brands to enhance workplace safety.
- Benefits: Enjoy a full-time role with opportunities for innovation and collaboration across teams.
- Why this job: Make a real impact on safety and efficiency while working in a diverse and inclusive environment.
- Qualifications: Experience with Generative AI, data pipelines, and deep learning frameworks is essential.
- Other info: Join a company with a pioneering spirit and a commitment to teamwork and integrity.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) role at A-SAFE GROUP.
About A-SAFE And The Role
As the Engineer for Artificial Intelligence & Machine Learning at A-Safe, you will collaborate across multiple teams to lead AI & ML model training, validation, experimentation, and monitoring, ensuring reliable performance in production. This full-stack role involves working with Data teams to ensure system compatibility and efficient handling of workloads, as well as with Software Development Teams for POC experiments and deployment. You will design and implement scalable AI and ML solutions, fostering innovation and experimentation. Your work will significantly impact operational efficiency, safety, and data-driven decision-making, supporting A-SAFE’s mission to prevent workplace injuries and safeguard lives globally.
In This Role, You Will
- Proven experience with Generative AI, LLMs, RAG, transformers, diffusion models, and recommender systems.
- Developing and managing data pipelines, including data gathering, cleaning, augmentation, labelling, and managing vector databases for RAG workflows.
- Model deployment, monitoring, versioning, and continuous improvement using frameworks like MLflow and AWS SageMaker.
- Experience with deep learning frameworks (TensorFlow, PyTorch), AWS SageMaker, Bedrock, Lambda; familiarity with Azure AI Foundry is a plus.
- Knowledge of software engineering best practices (version control, CI/CD, code reviews); exposure to Java/Scala for Databricks is advantageous.
- Experience integrating models with front-end/back-end systems, APIs, microservices, and serverless architectures using Python and TypeScript/Node.js.
The Ideal Candidate Will Have
- Experience with Generative AI, LLMs, RAG, transformers, diffusion models, and recommender systems.
- Skills in developing data pipelines and managing vector databases for large-scale workflows.
- Proficiency in model deployment, monitoring, and continuous improvement frameworks.
- Deep learning framework experience (TensorFlow, PyTorch), AWS services, and familiarity with Azure is a plus.
- Strong software engineering practices and experience with API/microservice integration.
Why A-SAFE?
Since 1984, A-SAFE has pioneered industrial safety solutions, including the first polymer safety barrier and IoT systems like RackEye. We partner with global companies such as Amazon, Coca-Cola, and BMW to enhance workplace safety. Our values include pioneering spirit, teamwork, and integrity.
Our Commitment to Diversity
We are dedicated to building an inclusive workplace where everyone belongs, believing diversity drives innovation. Ready to set new standards in workplace safety? Apply today and explore more opportunities on our Careers Page.
Additional Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and IT
- Industries: Industrial Machinery Manufacturing
AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) employer: A-SAFE GROUP
Contact Detail:
A-SAFE GROUP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially around Generative AI and LLMs. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with online communities or forums related to AI and ML. Networking with professionals in the industry can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Showcase any personal projects or contributions to open-source AI/ML initiatives. This practical experience can set you apart from other candidates and highlight your hands-on skills.
✨Tip Number 4
Prepare to discuss how you've implemented scalable AI solutions in past experiences. Be ready to share specific examples that demonstrate your problem-solving abilities and technical expertise.
We think you need these skills to ace AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI&ML Engineer position at A-SAFE. Familiarise yourself with key terms like Generative AI, LLMs, and data pipelines to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with AI and ML technologies, particularly those mentioned in the job description. Include specific projects or achievements that demonstrate your skills in model deployment, data management, and software engineering best practices.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for workplace safety and innovation. Mention how your background aligns with A-SAFE's mission and values, showcasing your enthusiasm for contributing to their goals.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in engineering roles.
How to prepare for a job interview at A-SAFE GROUP
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Generative AI, LLMs, and deep learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Familiarise yourself with A-SAFE's commitment to workplace safety and how AI & ML can enhance operational efficiency. Showing that you align with their mission will make a positive impression and highlight your enthusiasm for the role.
✨Prepare for Collaborative Scenarios
Since the role involves working across multiple teams, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated and worked with data and software development teams in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current AI & ML initiatives and future projects. This not only shows your interest but also gives you a chance to assess if the company culture and goals align with your career aspirations.
