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For Companies At a Glance
- Tasks: Develop and maintain cutting-edge AI solutions for the financial sector.
- Company: Join Synechron, a leader in digital transformation and AI innovation.
- Benefits: Collaborative culture, ongoing learning, and impactful projects.
- Why this job: Revolutionise financial services with AI and make a real-world impact.
- Qualifications: 3-5 years in AI/ML, strong programming skills, and teamwork.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
About Us:
Synechron is a leading global consulting and technology services provider, specialising in digital transformation within financial services. Our AI Practice focuses on delivering cutting-edge AI and machine learning solutions to our clients.
Position Overview:
We are seeking a proactive and skilled AI Engineer to join our dynamic AI Practice. In this role, you will support the development, deployment, and maintenance of AI and ML solutions across various projects in the financial sector. The ideal candidate is passionate about leveraging AI to solve real-world problems, has practical experience with AI techniques, and demonstrates strong collaboration skills.
Key Responsibilities:
- Assist in developing, testing, and deploying AI applications aligned with business goals.
- Collaborate with cross-functional teams to seamlessly integrate AI solutions into existing systems.
- Preprocess data, engineer features, and conduct basic analysis to support machine learning models.
- Support ongoing maintenance and iterative improvement of AI models in production environments.
- Contribute to research initiatives, staying updated on the latest AI and ML advancements.
- Document project processes and present findings to stakeholders effectively.
Qualifications & Skills:
- 3-5 years of professional experience with AI and Machine Learning projects.
- Hands-on experience with Large Language Models (LLMs), evaluation techniques, and frameworks such as LangChain.
- Proficiency with Retrieval-Augmented Generation (RAG) techniques, including embeddings, vector search, and vector databases.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
- Strong understanding of ML fundamentals including classification, regression, and clustering.
- Experience with ML frameworks and libraries such as PyTorch, TensorFlow, and Scikit-learn.
- Programming skills in Python; familiarity with JavaScript is advantageous.
- Knowledge of cloud platforms like AWS and Azure.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving, teamwork, and communication skills.
Nice to have:
- Exposure to explainable AI (XAI), time-series forecasting, or NLP.
- Experience deploying AI models at scale.
- Familiarity with containerisation (Docker), CI/CD pipelines, and version control systems.
Why Join Us:
Be part of a forward-thinking team harnessing the power of AI to revolutionise financial services. We offer a collaborative environment, ongoing learning opportunities, and the chance to work on innovative projects that make an impact.
Artificial Intelligence Engineer in City of London employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or RAG techniques. This is your chance to demonstrate what you can do beyond the CV.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled real-world challenges with AI. Practice common technical questions and scenarios related to ML frameworks.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Artificial Intelligence Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI and ML projects, especially any hands-on work with Large Language Models or frameworks like PyTorch and TensorFlow. We want to see how your skills align with what we're looking for!
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. Share specific examples of past projects that demonstrate your problem-solving skills and collaboration abilities. We love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your proficiency in Python, experience with cloud platforms like AWS or Azure, and any familiarity with containerisation or CI/CD pipelines. We’re keen on seeing how you can bring your tech skills to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Synechron
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning techniques, especially those mentioned in the job description. Be ready to discuss your hands-on experience with Large Language Models and frameworks like LangChain. This will show that you're not just familiar with the concepts but have practical skills to back them up.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've used AI to solve real-world problems. Think about projects where you developed, tested, or deployed AI applications. Highlight your role in these projects and the impact your solutions had on the business goals.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to discuss your teamwork experiences. Share instances where you collaborated effectively with others to integrate AI solutions into existing systems. This will demonstrate your ability to work well in a dynamic environment.
✨Stay Updated and Curious
Research the latest advancements in AI and ML before your interview. Being able to discuss recent trends or breakthroughs shows your passion for the field. It also indicates that you're committed to ongoing learning, which is something we value at StudySmarter.
