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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI and analytics solutions.
- Company: Join a forward-thinking organisation focused on Data & AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: 2-4 years in AI/ML delivery with strong coding and collaboration skills.
- Other info: Dynamic team environment with exciting career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Data Science Engineer
My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.
Key Responsibilities
- End-to-end development of AI/ML solutions.
- MLOps practices: CI/CD, model monitoring, retraining.
- Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
- Generative AI features: embeddings, RAG, AI agents.
- Clean, testable code with modern engineering practices.
- Align with enterprise architecture and governance.
- Collaborate with architects and stakeholders.
- Lifecycle management of models.
- Pilot emerging technologies.
Experience & Skills
- 2-4 years in production-level AI/ML delivery.
- Legal/professional services experience is a plus.
- AI/ML frameworks: PyTorch, TensorFlow, LangChain.
- Cloud: Azure (preferred), AWS, GCP.
- MLOps: CI/CD, model lifecycle, monitoring.
- Generative AI: LLMs, RAG, chat agents.
- Data engineering alignment: ETL, governance.
- Strong coding, communication, and collaboration skills.
- Strategic thinking, problem-solving, and stakeholder engagement.
In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.
DGH Recruitment Limited acts as both an Employment Agency and Employment Business
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Data Science Engineer employer: DGH Recruitment Ltd.
Contact Detail:
DGH Recruitment Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with tools like PyTorch and Azure. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Engineer role. Highlight your experience with AI/ML solutions, MLOps practices, and any relevant tools like PyTorch or Azure. 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 data science and how your background fits into our Data & AI strategy. Let us know what excites you about the role and our company.
Showcase Your Projects: If you've worked on any cool AI/ML projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at DGH Recruitment Ltd.
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with end-to-end development of AI solutions and how you've implemented MLOps practices in your previous roles.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, especially in clean and testable code. You might be asked to solve a problem on the spot, so practice coding challenges that reflect the modern engineering practices relevant to the role.
✨Familiarise Yourself with Tools
Get comfortable with the tools mentioned in the job description, such as LangChain, Azure OpenAI, and Databricks. Being able to discuss how you've used these tools in past projects will show you're a great fit for their tech stack.
✨Engage with Stakeholders
Since collaboration is key, think of examples where you've successfully engaged with stakeholders or worked with architects. Prepare to discuss how you align your work with enterprise architecture and governance, showcasing your strategic thinking and problem-solving skills.
