At a Glance
- Tasks: Lead the technical direction of AI delivery pods and ensure high-quality outputs.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Mentorship opportunities and a chance to work with cutting-edge technology.
- Why this job: Shape the future of AI systems and make a real impact in a dynamic environment.
- Qualifications: Experience in building AI systems and strong software engineering skills required.
The predicted salary is between 80000 - 100000 £ per year.
They’re building new AI delivery pods where engineers and AI workers build, test, ship and run real product.
The key thing now is making sure that doesn’t become a mess.
The business needs someone senior enough to own the technical direction, make the architecture calls and set clear standards around how AI systems are built, evaluated, secured and scaled.
You’ll be the most senior technical person across the pods, owning how agents, models, tooling, data flows and security boundaries work in practice.
The work is hands-on, but not just delivery.
You’ll be deciding which models to use, how agents should be orchestrated, when to build or buy, how output should be tested, and how to make AI workers a reliable part of the team rather than something people experiment with on the side.
- What you’ll be doing
- Owning the AI-native technical architecture across the pods
- Defining patterns for agents, orchestration, model selection and tooling
- Setting standards around code quality, prompt engineering, testing and evaluation
- Making technical decisions on build vs buy, re-architecture and tooling choices
- Working directly with AI workers and improving the quality of their output
- Mentoring AI Engineers and Graduates
- Working with security and compliance around data, tooling and governance
- Managing tooling subscriptions, usage costs and API spend
- Helping prove how the pod model scales beyond the first teams
- What they’re looking for
- Hands‑on experience building AI, LLM or agentic systems in production
- Strong understanding of RAG, agent orchestration, prompt engineering and evaluation frameworks
- Experience owning architecture decisions across security, observability and cost
- Someone comfortable making technical decisions in a fast‑moving environment
- Someone who can create standards and structure without slowing delivery down
- Best practice comes naturally to you and you like implementing it.
- Strong software engineering background, ideally with .
NET / C#, so you can stay close to the product code and make sensible architecture decisions rather than just owning the AI layer in isolation
The bigger thing is being able to bring structure to AI delivery without turning it into heavy process.
You’ll suit this if you’ve built real AI systems, understand the detail behind the tooling, and want ownership of how small AI-native pods deliver properly.
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Technical Lead - AI Native in Manchester employer: Socium
At Socium, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Analytics Engineer in Manchester, you will benefit from continuous professional development opportunities, a supportive team environment, and the chance to make a significant impact on our data governance practices. Join us to be part of a forward-thinking company that values your expertise and encourages growth.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Lead - AI Native 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 Socium 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 Socium.
✨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 Socium.
✨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 Socium 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 Technical Lead - AI Native 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 Socium.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Socium 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 Socium
✨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 Socium 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.
