At a Glance
- Tasks: Design and develop innovative machine learning models for real-world challenges.
- Company: Leading tech business delivering advanced AI solutions for national security.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with cutting-edge technology and career advancement opportunities.
- Why this job: Join a pivotal growth stage and make an impact on critical defence outcomes.
- Qualifications: Master’s/PhD in relevant field and 3+ years of ML experience.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Our client is a leading technology business delivering advanced AI solutions into highly complex, mission-critical environments. Their cross-functional product teams blend software engineering, machine learning, and deep domain expertise to deliver platforms that enable analysts and operators to work with speed, clarity, and confidence. This is an opportunity to join at a pivotal stage in growth, working on products that directly support national security and defence outcomes.
The Role
As an AI Engineer , you will design, develop, and deploy innovative machine learning models and algorithmic solutions. You’ll build production-grade AI capabilities that solve hard problems at scale, with a focus on Generative AI and modern NLP/ML workflows.
Responsibilities
- Design and develop ML models and algorithmic solutions for complex, real-world challenges.
- Partner with product managers, engineers, and domain experts to deliver features from concept through to production.
- Engineer solutions with a deep awareness of algorithmic complexity and cost of scale.
- Clearly communicate model choices, assumptions, and trade-offs to technical and non-technical stakeholders.
- Take ownership from experimentation through deployment, monitoring, and optimisation.
- Debug and maintain distributed data pipelines in production.
- Stay up to date with emerging ML/AI research and apply new techniques where valuable.
Skills & Experience
- Master’s/PhD in Computer Science, Machine Learning, NLP, or related field.
- 3+ years applying ML in production environments.
- Hands-on expertise with Generative AI (fine-tuning LLMs, RAG pipelines, agentic workflows).
- Strong Python development skills with frameworks like Hugging Face, spaCy, PyTorch, Scikit-learn.
- Knowledge of Kubernetes and ML model deployment at scale is an advantage.
- Exposure to systems integration (PostgreSQL, Elasticsearch, etc.) desirable.
- Strong communication skills and ability to bridge technical and product impact.
Seniority level
- Mid-Senior level
Employment type
- Contract
Industries
- IT Services and IT Consulting
- Defense and Space Manufacturing
- Data Infrastructure and Analytics
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AI Engineer in England employer: Frontier Resourcing
Join a leading high-tech defence organisation in Bristol, where innovation meets purpose. As a Systems Architect in Electronic Warfare, you will thrive in a collaborative work culture that values technical excellence and offers ample opportunities for professional growth. With a focus on cutting-edge technology and a commitment to employee development, this role provides a unique chance to contribute to vital defence systems while enjoying the benefits of a supportive and dynamic team environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer 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 Frontier Resourcing 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 Frontier Resourcing.
✨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 Frontier Resourcing.
✨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 Frontier Resourcing 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 in England
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 Frontier Resourcing.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Frontier Resourcing 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 Frontier Resourcing
✨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 Frontier Resourcing 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.
