At a Glance
- Tasks: Design and deploy AI solutions that enhance business efficiency and drive innovation.
- Company: Join a forward-thinking tech company in Manchester with a hybrid work model.
- Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact on exciting projects.
- Qualifications: Experience in AI development, strong Python skills, and a collaborative mindset.
The predicted salary is between 72000 - 88000 £ per year.
Sector: Tech
Reference: 16040AI Engineer Manchester | Hybrid Overview We are looking for an AI Engineer to design, develop and deploy AI-powered solutions that drive business value and improve operational efficiency.
This role will focus on building and optimising machine learning models, generative AI applications, and intelligent automation solutions while working closely with technical and business stakeholders.
The successful candidate will combine strong software engineering skills with practical experience in AI technologies, helping to shape and deliver the organisation's AI strategy.
Key Responsibilities Design, build, and deploy AI and machine learning solutions in production environments.
Develop and optimise Large Language Model (LLM) applications.
Create AI-powered copilots, chatbots, knowledge management solutions, and workflow automation tools.
Build and maintain scalable data pipelines to support AI initiatives.
Implement Retrieval-Augmented Generation (RAG) frameworks and vector databases.
Integrate AI technologies into existing business systems, applications, and processes.
Evaluate emerging AI technologies and recommend solutions that deliver measurable business benefits.
Monitor and improve model performance, accuracy, reliability, and security.
Collaborate with data engineers, software developers, and business stakeholders to gather requirements and deliver solutions.
Establish AI governance, best practices, and responsible AI standards.
Provide technical guidance and support to internal teams on AI adoption and implementation.
Skills & Experience Essential Commercial experience developing AI, machine learning, or generative AI solutions.
Strong programming skills in Python.
Experience working with LLMs and generative AI technologies. Knowledge of machine learning frameworks such as Py Torch, Tensor Flow, or Scikit-learn.
Experience with Azure AI Services. Understanding of prompt engineering, RAG architectures, and vector databases.
Experience building and deploying APIs and cloud-based applications.
Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities.
Experience working in Agile development environments.
Desirables Experience with Microsoft Copilot technologies. Knowledge of MLOps tools and deployment practices.
Experience using Azure Machine Learning.
Exposure to fine-tuning and customising foundation models.
Experience with Lang Chain, Llama Index, Semantic Kernel, or similar frameworks.
Understanding of data governance, security, and compliance requirements.
Experience developing AI solutions within large or regulated organisations.
Tech / AI Specialist Tech / AI Specialist in Manchester employer: Chroma Recruitment
As a leading space technology organisation, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. Located in the heart of the UK space sector, we offer competitive benefits, continuous professional development opportunities, and the chance to work on groundbreaking projects that shape the future of space technology. Join us to be part of a collaborative team that values creativity, encourages growth, and is dedicated to delivering exceptional results in the exciting field of space exploration.
StudySmarter Expert Advice🤫
We think this is how you could land Tech / AI Specialist Tech / AI Specialist in Manchester
✨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 Chroma Recruitment 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
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Chroma Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Chroma Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Chroma Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Tech / AI Specialist Tech / AI Specialist in Manchester
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 Chroma Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Chroma Recruitment 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 Chroma Recruitment
✨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 Chroma Recruitment 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.
