At a Glance
- Tasks: Design and develop AI solutions for life sciences using cutting-edge ML techniques.
- Company: Freyr is an innovative leader in regulatory solutions for the Life Sciences industry.
- Benefits: Join a dynamic team with opportunities for growth and innovation in a collaborative environment.
- Other info: This role is based in the UK or UAE; candidates outside these locations will not be considered.
- Why this job: Make a real impact in regulatory services while working with advanced technologies and passionate professionals.
- Qualifications: Engineering degree in computer science or relevant field; experience with Python, R, and ML frameworks required.
The predicted salary is between 48000 - 84000 £ per year.
About the job
This role is not open for candidates located outside UK / UAE
About Freyr
Freyr is a fast-growing, innovative company specializing in providing end-to-end regulatory solutions and services for the Life Sciences industry. With a commitment to excellence and innovation, we assist pharmaceutical, medical device, and biotech companies in navigating the complexities of regulatory compliance.
Why Freyr?
At Freyr, we believe in fostering a collaborative and dynamic work environment that empowers our team to make a real impact. As we expand our footprint to Warsaw, Poland, we are on the lookout for passionate and skilled Regulatory professionals to join us in shaping the future of regulatory services.
Join Our Team:
If you\'re ready to embark on a journey of growth and innovation, connect with us to explore the exciting opportunities awaiting you at Freyr\'s new chapter in Warsaw, Poland. Together, we can shape the future of regulatory solutions.
📢 To Apply:
Please apply to this job post or you can visit our Careers page for more openings
Visit our Careers page at (https://www.freyrsolutions.com/careers/current-positions) to explore current job openings and submit your application.
Don\'t miss this chance to be a part of Freyr\'s expansion and make your mark in the world of regulatory services. Let\'s redefine regulatory excellence together!
Title : AI ML Engineer
Location : UK / UAE ( Base location should be UK / UAE)
Key Skills : Agentic AI, LLMOps, LLM Agents, RAG
Job Description :
- Designing Automation process solutions in accordance with standard design principles and conventions.
- An aptitude for problem-solving, with the ability to take a logical route to the source of an error. Design and Develop ML-based automation for using open-source software like Python, R, etc. Engineering Degree in computer science or any relevant engineering field.
- Tools and Framework: PyTorch, Python, R, TensorFlow, Keras, skit learn, NumPy, pandas
- Design and develop end-to-end GenAI solutions on top of life sciences regulatory and medical data, using LLMs and agent-based architectures.
- Packaging and deploying scalable Python-based APIs in production.
- Close collaboration with the platform team to ensure high availability and optimized performance of deployed ML services.
- Designing data pipelines that efficiently deliver data for machine learning R&D and data engineering activities.
- Conducting R&D activities around extracting business value by applying state-of-the-art ML methods.
- Effectively distill and communicate technical activities in both intra- and inter- team discussions.
Primary responsibilities:
- Develop Agentic system
- Develop Agent workflows and integration with business modules using MCP
- Fine tuning and prompt tuning LLM
- Develop NLP systems according to requirements Retrain transformer models.
- Develop TF-IDF Models and other Term Frequency model / Markov Model. Study and transform data science prototypes
- Design NLP applications on the text modelling Annotate / Labeling the dataset as per ML problem statement.
- Select appropriate annotated datasets for Supervised Learning methods
- Use effective text representations to transform natural language into useful features
- Find and implement the right algorithms and tools for NLP tasks
- Train the developed model and run evaluation experiments
- Perform statistical analysis of results and refine models Evaluate the Language Model.
- Extend ML libraries and frameworks to apply in NLP/NLU ML tasks
- Remain updated in the rapidly changing field of machine learning
- Facilitate the integration of ML model in backend and frontend.
Artificial Intelligence Engineer in Dartford employer: Freyr Solutions
Freyr is an exceptional employer that champions a collaborative and innovative work culture, particularly in the burgeoning field of regulatory solutions for the Life Sciences industry. With a strong focus on employee growth and development, Freyr offers exciting opportunities for AI Engineers to contribute to cutting-edge projects while enjoying the benefits of working in a dynamic environment in Warsaw, Poland. Join us to be part of a team that values your expertise and empowers you to make a meaningful impact in shaping the future of regulatory services.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Dartford
✨Tip Number 1
Familiarise yourself with the specific tools and frameworks mentioned in the job description, such as PyTorch, TensorFlow, and Keras. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your technical proficiency during interviews.
✨Tip Number 2
Engage with the life sciences regulatory community by attending relevant webinars or conferences. This will help you understand industry trends and challenges, making you a more attractive candidate who can contribute valuable insights to Freyr.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you successfully designed and implemented ML solutions. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your analytical thinking.
✨Tip Number 4
Network with current employees at Freyr through platforms like LinkedIn. Building connections can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Artificial Intelligence Engineer in Dartford
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the AI ML Engineer position at Freyr. Familiarise yourself with key skills like Agentic AI, LLMOps, and the tools mentioned in the job description.
Tailor Your CV:Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in Python, R, and machine learning frameworks such as PyTorch and TensorFlow.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for the role and the company. Mention specific projects or experiences that demonstrate your problem-solving abilities and familiarity with regulatory solutions in the life sciences industry.
Proofread Your Application:Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Freyr Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools and frameworks like PyTorch, TensorFlow, and Python. Highlight specific projects where you've designed ML-based automation or developed NLP systems, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Focus
Familiarise yourself with Freyr's mission in the life sciences industry. Understanding their commitment to regulatory solutions will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to error identification and resolution in ML processes. Practice articulating your thought process clearly, as this will showcase your logical approach to tackling challenges.
✨Communicate Effectively
Since the role involves collaboration with various teams, practice explaining complex technical concepts in simple terms. This skill is crucial for ensuring that all stakeholders understand your work and its impact on the project.
