At a Glance
- Tasks: Develop and implement AI models, tools, and analyse complex datasets.
- Company: Join a leading AI-driven digital engineering firm with a global impact.
- Benefits: Competitive salary, flexible hours, and support for higher education.
- Other info: Inclusive culture with opportunities for growth and hybrid work options.
- Why this job: Work with cutting-edge tech and make a difference in various industries.
- Qualifications: 15+ years experience in AI, strong programming skills, and tool development.
The predicted salary is between 90000 - 110000 £ per year.
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next.
Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above.
We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.
Responsibilities
- Develop and Implement AI Models: The AI Developer will be responsible for developing and implementing AI models using Open AI's Codex and other AI tools.
- Tool Development: They will be responsible for developing tools for generative AI models.
- Data Analysis: They will be responsible for analyzing and interpreting complex datasets to improve model performance.
- Collaboration: They will work closely with other team members, including data scientists and engineers, to develop and implement AI solutions.
- Required Skills
- Proficiency in Open AI's
Codex: The candidate must have a deep understanding and hands-on experience with Open AI's Codex.
They should be able to use this AI system to translate natural language to code effectively.
- Tool Development for Generative AI: The applicant must have experience in developing and implementing tools for generative AI models.
They should be able to create tools that can generate new data that is similar to the input data.
- Strong
- Programming
Skills: The candidate must have strong programming skills in languages such as Python, Java, or C++.
They should be able to write efficient code and have a good understanding of data structures and algorithms.
- A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required.
- Preferred Skills
- Knowledge of Machine Learning Algorithms: Familiarity with various machine learning algorithms like linear regression, decision trees, SVM, etc.
- Experience with Deep Learning Frameworks: Experience with frameworks like Tensor Flow, Py Torch, or Keras.
- Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, Spa Cy, etc.
- Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Understanding of Computer Vision: Familiarity with computer vision techniques and libraries like Open CV.
- Experience with Big Data Tools: Experience with big data tools like Hadoop, Spark, or Hive.
- Knowledge of Reinforcement Learning: Understanding of reinforcement learning techniques and algorithms.
- Familiarity with Robotics: Experience with robotics and robotic process automation (RPA) tools.
- Understanding of Neural Networks: Knowledge of neural network architectures like CNN, RNN, etc.
- Experience with SQL and No SQL Databases: Familiarity with databases like My SQL, Mongo DB, etc.
Experience: 15+ years
Job Type: Full Time Employment
Mandatory Mention 3 skills: Investment Banking, Tool Development for Generative AI, Data Analysis.
Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment
Persistent is dedicated to fostering diversity and inclusion in the workplace.
We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference.
We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
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Principal Architect - United Kingdom employer: Persistent Systems Limited
As a Java Architect at our innovative AI-led company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and growth, all while working with industry leaders in a vibrant location that fosters technological advancement.
Contact Details:
Persistent Systems Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal Architect - United Kingdom
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Persistent Systems Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Principal Architect - United Kingdom
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Persistent Systems Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Persistent Systems Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Persistent Systems Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Persistent Systems Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
