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For Companies At a Glance
- Tasks: Design and optimise AI/ML models using cutting-edge technologies for impactful government projects.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a difference in government initiatives while working with advanced AI tools.
- Qualifications: Proficient in Python, with experience in AI/ML and cloud services.
- Other info: Collaborative environment with a focus on secure coding and DevOps best practices.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Join our team as an AI/ML Engineer and play a pivotal role in driving mission‑critical government initiatives while also contributing to proprietary AI infrastructure. You’ll harness advanced large language models (LLMs), retrieval‑augmented generation (RAG), and multi‑agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross‑functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
Key Responsibilities
- Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
- Develop and orchestrate multi‑agent systems using frameworks such as LangGraph and LangChain.
- Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high‑quality data for AI training and inference.
- Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
- Collaborate with product, security, and engineering teams to ensure best‑in‑class delivery, following secure coding and DevOps best practices (CI/CD).
- Document technical decisions and communicate complex concepts clearly to both technical and non‑technical stakeholders.
Required Skills And Qualifications
- Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
- Hands‑on experience with LLMs, RAG systems, and prompt engineering in production environments.
- Familiarity with multi‑agent orchestration, tool use, and frameworks like LangGraph and LangChain.
- Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
- Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
- Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
- Exceptional written and verbal communication skills for effective collaboration and documentation.
Preferred Qualifications
- Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
- Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
- Prior exposure to government or highly regulated cloud environments and compliance standards.
AI/ML Engineer - Remote in Manchester employer: YO IT CONSULTING
Contact Detail:
YO IT CONSULTING Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer - Remote in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and RAG systems. We love seeing real-world applications of your work, so make sure to highlight your best stuff!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practicing common interview questions related to AI/ML and being ready to explain complex concepts clearly. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to contribute to our mission.
We think you need these skills to ace AI/ML Engineer - Remote in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with LLMs, RAG systems, and any relevant cloud services. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've implemented AI/ML models or worked with multi-agent systems. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI and how you can contribute to our mission. Be sure to mention your familiarity with secure coding and DevOps practices, as these are key for us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at YO IT CONSULTING
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, LLMs, and RAG systems. Brush up on your knowledge of multi-agent orchestration frameworks like LangGraph and LangChain, as well as cloud services like AWS GovCloud and Azure IL5+. Being able to discuss these topics confidently will show that you're ready for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or optimised AI/ML models. Think about challenges you faced and how you overcame them, particularly in production environments. This will demonstrate your hands-on experience and ability to tackle real-world problems effectively.
✨Communicate Clearly and Effectively
Since the role involves collaborating with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. You might be asked to describe your past projects or technical decisions, so being able to articulate your thoughts clearly is crucial.
✨Familiarise Yourself with Secure Coding Practices
Given the emphasis on secure coding and DevOps best practices, make sure you understand CI/CD pipelines and how they apply to AI/ML development. Be prepared to discuss how you’ve implemented security measures in your previous work, especially in regulated environments.