At a Glance
- 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.
- Other info: Join a company with a pioneering spirit and a commitment to teamwork and integrity.
- 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.
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) in Halifax employer: A-SAFE GROUP
A-SAFE GROUP is an exceptional employer that champions innovation and collaboration in the field of AI and Machine Learning. With a commitment to diversity and a pioneering spirit, employees are encouraged to grow and develop their skills while contributing to meaningful projects that enhance workplace safety globally. The supportive work culture and opportunities for professional development make A-SAFE a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) in Halifax
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at A-SAFE GROUP or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) in Halifax
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at A-SAFE GROUP.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at A-SAFE GROUP and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at A-SAFE GROUP
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If A-SAFE GROUP uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
