At a Glance
- Tasks: Design and develop cutting-edge AI and machine learning solutions for real-world applications.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on exciting, hands-on projects.
- Qualifications: Experience in building AI tools and strong technical skills required.
- Other info: Dynamic, green environment perfect for those who thrive on innovation.
The predicted salary is between 48000 - 72000 Β£ per year.
Duration: 6 Months to start (high possibility of extension)
Location: Remote (EST Hours Preferred)
Our client is in the early stages of building enterprise AI capabilities and is seeking a Senior AI Engineer / Applied AI Specialist to help design, develop, and scale initial AI and machine learning use cases. This role is highly hands-on and exploratory. The successful consultant will act as a technical SME, supporting model development, AI agent experimentation, and architectural decision-making while helping guide the team toward a scalable, future-ready AI approach. The environment is green, making this an ideal role for someone who enjoys shaping direction, working through ambiguity, and building from first principles.
Key Responsibilities- Design, build, and deploy AI and ML use cases aligned to business needs
- Develop and evaluate machine learning models, including experimentation and iteration
- Support early-stage AI agent development and GenAI use cases
- Provide technical guidance on AI architecture, tooling, and best practices
- Collaborate with data engineering and platform teams to ensure AI solutions are production-ready
- Advise on the selection and use of AI services and platforms as the tech stack evolves
- Help establish foundational AI development standards, patterns, and workflows
- Mentor and support team members through knowledge sharing and technical leadership
- Balance hands-on delivery with advisory input as the AI capability matures
- Architect workflows, eliminate operational inefficiencies, and rapidly ship automations that unlock leverage across every function.
- Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling
- Experience building and shipping Agentic AI / LLM-driven tools
Senior Ai Engineer in England employer: S.i. Systems
Contact Detail:
S.i. Systems Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Ai Engineer in England
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes itβs not just what you know, but who you know that can get you in the door.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and experiments. We want to see your hands-on experience, so make sure to highlight any innovative solutions you've developed.
β¨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your approach to building AI solutions. We recommend practising common interview questions and even doing mock interviews with friends.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Ai Engineer in England
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI and machine learning, especially any hands-on projects you've worked on. We want to see how your skills align with our needs!
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 you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: In your application, don't forget to showcase your technical skills. Mention any relevant tools, frameworks, or methodologies you've used in your previous roles. We love seeing candidates who are up-to-date with the latest in AI tech!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter family!
How to prepare for a job interview at S.i. Systems
β¨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around agentic AI and LLMs. Be ready to discuss your past projects and how they relate to the role. This shows you're not just familiar with the tech but can also apply it practically.
β¨Showcase Your Hands-On Experience
Since this role is highly hands-on, prepare to share specific examples of how you've designed, built, and deployed AI solutions. Talk about the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and technical expertise.
β¨Embrace Ambiguity
The environment is green, so be ready to discuss how you handle uncertainty and shape direction. Share experiences where you've worked through ambiguity and built from first principles. This will highlight your adaptability and innovative thinking.
β¨Collaboration is Key
This role involves working closely with data engineering and platform teams. Prepare to talk about how you've collaborated in the past, especially in cross-functional teams. Highlight your communication skills and how youβve mentored others, as this will show you can lead and support the team effectively.