At a Glance
- Tasks: Drive innovation in AI by developing and prototyping cutting-edge solutions.
- Company: Dynamic business embedding AI into customer interactions and internal tools.
- Benefits: Up to Β£80,000 salary, 10% bonus, hybrid work, and pension matching.
- Why this job: Join an ambitious AI journey and make a real impact on technology.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with modern AI tools.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 48000 - 64000 Β£ per year.
Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that's embedding AI into everything from customer interactions to internal tools. We're looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives β from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows.
The Role
- Develop and prototype AI-driven solutions across customer-facing and internal applications.
- Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows.
- Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering).
- Partner with stakeholders to translate business needs into practical, intelligent systems.
- Mentor junior team members and contribute to the evolution of our AI tooling stack.
This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value.
What You'll Bring
- 3+ years experience in a commercially driven customer environment.
- Strong Python skills and solid grounding in AI/ML fundamentals.
- Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools.
- Knowledge of RAG pipelines, transformers, and modern AI architectures.
- Understanding of deployment or MLOps best practices (Azure experience a plus).
- Recent, hands-on experience with applied LLM projects.
- Strong communication and stakeholder engagement skills.
- A Master's degree in Computer Science, ML, or AI is preferred but not required.
The Opportunity
- Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years.
- Contribute to short-term LLM "quick wins" and longer-term agentic AI development.
- Work in a collaborative, supportive environment with senior data leaders.
- Help shape how AI transforms both customer experience and business efficiency.
Package & Details
- Salary: Up to Β£80,000 + 10% Bonus + 5% Matched Pension
- Hybrid working: 3 days per week in London office (Tues/Weds fixed)
- No visa sponsorship available
Apply below!
Senior AI Scientist in Slough employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior AI Scientist in Slough
β¨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or RAG systems. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as communication is key when collaborating with stakeholders.
β¨Tip Number 4
Donβt forget to 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 genuinely interested in joining our AI journey.
We think you need these skills to ace Senior AI Scientist in Slough
Some tips for your application π«‘
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how passionate you are about shaping the future of AI-powered products. Share any relevant projects or experiences that highlight your love for innovation in this field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to match the job description. Highlight your experience with Python, LLMs, and any tools mentioned like Databricks or LangChain. We appreciate when candidates take the time to align their skills with what we're looking for!
Be Clear and Concise: Keep your application clear and to the point. Weβre busy folks, so make it easy for us to see your qualifications and experience. Use bullet points where possible and avoid jargon unless itβs relevant to the role. Clarity is key!
Apply Through Our Website: Donβt forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it shows youβre serious about joining our team at StudySmarter!
How to prepare for a job interview at Harnham
β¨Know Your AI Stuff
Make sure you brush up on your AI and ML fundamentals. Be ready to discuss your hands-on experience with LLM projects, RAG pipelines, and any tools like Databricks or LangChain. The more specific examples you can provide, the better!
β¨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
β¨Engage with Stakeholders
This role involves partnering with stakeholders, so be prepared to discuss how you've translated business needs into practical AI solutions in the past. Think of examples where your communication skills made a difference in project outcomes.
β¨Be Ready to Mentor
As a senior position, you'll likely be mentoring junior team members. Share your experiences in guiding others and how you've contributed to team growth. This shows you're not just a tech whiz but also a team player!