Senior AI Solutions Engineer: Production ML & Agents in England

Senior AI Solutions Engineer: Production ML & Agents in England

England Full-Time 80000 - 100000 £ / year (est.) No working from home possible
team.blue

At a Glance

  • Tasks: Lead AI projects, fine-tune LLMs, and ensure production reliability.
  • Company: Join team.blue, a forward-thinking tech company in England.
  • Benefits: Attractive salary, flexible working options, and opportunities for mentorship.
  • Other info: Collaborative environment with a focus on innovation and growth.
  • Why this job: Shape the future of AI solutions and make a real difference.
  • Qualifications: Strong ML Engineering background and leadership experience.

The predicted salary is between 80000 - 100000 £ per year.

team.blue is seeking a Principal AI Solutions Engineer in England to guide their AI systems and solutions. In this role, you will manage the entire AI lifecycle, including fine-tuning LLMs and overseeing observability and production reliability.

The ideal candidate will possess a strong background in ML Engineering and experience in leading projects. You will mentor teams and collaborate across departments to optimize AI solutions for a vast customer base.

Senior AI Solutions Engineer: Production ML & Agents in England employer: team.blue

At team.blue, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through mentorship opportunities and cross-departmental collaboration, allowing you to thrive in your role as a Senior AI Solutions Engineer. Located in England, we offer a dynamic environment where your contributions directly impact our vast customer base, making your work both meaningful and rewarding.

team.blue

Contact Details:

team.blue Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Solutions Engineer: Production ML & Agents in England

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 team.blue 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 team.blue.

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 team.blue.

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 team.blue 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 Senior AI Solutions Engineer: Production ML & Agents in England

Machine Learning Engineering
Fine-tuning LLMs
AI Lifecycle Management
Observability
Production Reliability
Project Leadership
Mentoring

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 team.blue.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at team.blue 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 team.blue

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 team.blue 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.