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- Tasks: Design and develop cutting-edge NLP and LLM-based AI systems.
- Company: Fully remote tech company focused on innovative AI solutions.
- Benefits: Competitive salary, bonuses, private healthcare, and mentorship opportunities.
- Why this job: Lead the future of AI while mentoring junior engineers in a dynamic environment.
- Qualifications: Experience in AI/ML with strong knowledge of NLP and LLMs.
- Other info: Opportunity for career growth and influence in a growing AI function.
The predicted salary is between 60000 - 70000 £ per year.
Fully Remote - UK based only.
£60,000 to £70,000 + Bonus + Private Health Care
Do you want to have the chance to take ownership of a growing AI function and influence both the technical direction and long-term capability of a team? You will join at a point where the foundations are still being shaped, which gives you space to design systems, introduce standards and lead key decisions. You will also mentor junior engineers who are already in place, giving you a clear leadership path. The work involves varied challenges across research, applied engineering and production deployment, with an environment that supports autonomy and technical depth.
Our client builds data-driven products that rely on large volumes of text-based information. They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions.
The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. You will work across research and implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable.
Key Responsibilities- Design and develop NLP and LLM-based systems for internal products and workflows.
- Evaluate new models, techniques and approaches, recommending what should be adopted.
- Fine-tune and adapt foundation models using domain-specific datasets.
- Carry out analysis to understand model behaviour, drift and explainability.
- Build and maintain tools for evaluation, prompt testing and dataset preparation.
- Work with the MLOps engineer to deploy, monitor and retrain models in production.
- Support CI/CD processes for AI, including version control, reproducibility and rollback workflows.
- Provide mentorship and guidance to junior engineers.
- Collaborate with product and engineering teams to integrate AI functionality into the platform.
- Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment.
- Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents).
- Experience conducting applied research and converting experimental outcomes into production systems.
- Familiarity with retraining workflows and performance monitoring.
- Understanding of explainability and fairness techniques.
- Hands-on experience with containerisation and orchestration (Docker/Kubernetes).
- Understanding of MLOps practices, CI/CD and model registry processes.
- Experience mentoring or guiding junior engineers or leading technical initiatives.
- Experience working with sensitive or regulated data (not essential).
- Experience with graph-based retrieval.
- Familiarity with Azure ML or similar tooling.
You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing long-term technical decisions. Over time, this may evolve into broader leadership responsibilities as the team expands. The role suits someone who wants a balance of hands-on engineering, technical ownership and mentoring.
Locations
Artificial Intelligence Engineer in Hampshire, Portsmouth employer: Innova Recruitment
Contact Detail:
Innova Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and LLMs. We recommend including links to GitHub repos or any live demos to really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical knowledge.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Artificial Intelligence Engineer in Hampshire, Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior AI Engineer. Highlight your experience with NLP and LLMs, and don’t forget to showcase any leadership or mentoring roles you've had. We want to see how you can take ownership and influence our growing AI function!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with our needs. We love seeing candidates who can connect their experiences to the challenges we face in building data-driven products.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them! Whether it's research, applied engineering, or production deployment, we want to see what you've done. This gives us insight into your hands-on experience and technical depth.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re in!
How to prepare for a job interview at Innova Recruitment
✨Know Your NLP and LLMs
Make sure you brush up on your knowledge of Natural Language Processing and Large Language Models. Be ready to discuss specific techniques you've used, like fine-tuning or retrieval-augmented methods, and how they can be applied in real-world scenarios.
✨Showcase Your Mentorship Skills
Since the role involves mentoring junior engineers, prepare examples of how you've guided others in the past. Highlight any leadership experiences and how you’ve helped team members grow their skills.
✨Demonstrate Your Technical Ownership
Be prepared to talk about projects where you took ownership from concept to production. Discuss the challenges you faced, the decisions you made, and how you ensured the models were reliable and maintainable.
✨Familiarise Yourself with MLOps Practices
Understand the CI/CD processes for AI and be ready to discuss your experience with version control and model registry. Mention any hands-on experience with tools like Docker or Kubernetes, as this will show you're well-versed in deployment practices.
