At a Glance
- Tasks: Design and deploy innovative AI solutions that transform business operations.
- Company: A leading data-driven organisation investing in cutting-edge AI technology.
- Benefits: Competitive salary, comprehensive benefits, hybrid work model, and professional development opportunities.
- Other info: Collaborative environment with clear career progression and exposure to advanced technologies.
- Why this job: Join a dynamic team and make a real impact with large-scale AI projects.
- Qualifications: Experience in AI engineering, strong Python skills, and knowledge of MLOps.
AI Engineer
London (Hybrid - 3x a week)
The Company
They are a large, data-driven organisation investing heavily in artificial intelligence and advanced analytics. Their AI team is focused on building innovative solutions that improve business operations, enhance customer experiences, and drive measurable commercial value. With access to large and complex datasets, they offer an environment where experimentation, collaboration, and technical excellence are encouraged.
The Role
- Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production.
- Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks.
- Write high-quality Python code and contribute to cloud-native applications and services.
- Apply MLOps best practices, including CI/CD, containerisation, monitoring and observability.
- Partner with data scientists, engineers and business stakeholders to translate business challenges into impactful AI solutions.
- Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment.
Your Skills & Experience
- Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI.
- Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks.
- Strong Python programming skills and understanding of modern backend architectures.
- Experience working with cloud platforms and production-grade AI systems.
- Knowledge of MLOps, CI/CD, containerisation and model monitoring.
- Experience building data pipelines for model training, fine-tuning and inference.
- Solid grounding in machine learning, statistics and model evaluation techniques.
- Strong communication skills with the ability to engage technical and non-technical stakeholders.
- Commitment to responsible and ethical AI development.
What They Offer
- Competitive salary and comprehensive benefits package.
- Hybrid working model.
- Exposure to large-scale AI and machine learning projects.
- Opportunity to shape the direction of a growing AI capability.
- Ongoing professional development and clear career progression.
- Collaborative environment working alongside experienced AI, data and engineering professionals.
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AI Engineer employer: Harnham - Data and Analytics Recruitment
Harnham is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation in AI and data analytics thrives. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to lead transformative projects in a vibrant London setting. The hybrid working model ensures a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
Contact Details:
Harnham - Data and Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 Harnham - Data and Analytics 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 Harnham - Data and Analytics 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 Harnham - Data and Analytics 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 Harnham - Data and Analytics 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 AI Engineer
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 Harnham - Data and Analytics 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 Harnham - Data and Analytics 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 Harnham - Data and Analytics 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 Harnham - Data and Analytics 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.
