At a Glance
- Tasks: Join our AI/ML team to innovate in healthcare through cutting-edge technology.
- Company: GSK is a global leader in pharmaceuticals, dedicated to improving health worldwide.
- Benefits: Enjoy a flexible working culture and opportunities for professional growth.
- Why this job: Be part of award-winning projects that make a real impact on people's lives.
- Qualifications: Bachelor's degree in computer science and extensive AI/ML experience required.
- Other info: Apply by January 9, 2024, and showcase your skills in your cover letter.
The predicted salary is between 54000 - 84000 £ per year.
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Sector: Engineering, Technology
Role: Senior Executive
Contract Type: Permanent
Hours: Full Time
Site Name: UK – London – New Oxford Street, UK – Hertfordshire – Stevenage
Posted Date: Dec 20 2024
GSK is a global leader in pharmaceuticals and healthcare, with a relentless commitment to advancing healthcare for the betterment of humanity. Our mission is to help people around the world do more, feel better, and live longer. We achieve this by researching, developing, and providing innovative medicines and vaccines. Our dedication to scientific excellence and ethical practices guides everything we do.
R&D at GSK is highly data-driven, and we’re applying AI/ML and data science to generate new insights, enable analytics, gain efficiencies and automation.
This role is based in an AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification and data science, and has won awards and recognition for its work. The team’s future projects will be in diverse areas, such as regulatory, clinical, legal and HR. Versatility is key, with an ability to quickly understand domain data and requirements and translate them into solutions. You will interact with architects, software and data engineers, modelers, data scientists, other AI/ML engineers, product owners as well as other team members in Clinical Solutions and R&D. You will actively participate in creating technical solutions, designs, implementations and participate in the relentless improvement of R&D Tech systems in alignment with agile and DevOps principles.
A total of three Senior AI/ML Engineer positions are available, and we’re looking for demonstrable expertise across a selection of the following key competencies: Generative AI, model building, training and evaluation, natural language processing, classification problems and software development. You should also be versed in agile ways of working, source control and the Azure cloud.
In this role you will
- Work on a mixture of the following:
- Generative AI
- Design and develop RAG based applications.
- LLM fine-tuning, including preparation of training sets from internal data.
- Agent based applications.
- Evaluating use-case specific LLMs.
- AI/ML
- NLP: Named Entity Recognition across a variety of unstructured data.
- Evaluating and training BERT-like models such as GLiNER, NuNER for NER tasks. Analyzing trade-offs between these models and LLMs for NLP tasks.
- Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG.
- Document and text Classification.
- Data Science: Data clustering algorithms, feature engineering.
- Evaluate and integrate new technologies and models.
- Cross-team collaboration, identifying innovations and architecting solutions.
- Provide leadership and technical direction to various business units and partners.
Why you?
Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
- Bachelor’s degree in computer science.
- Extensive experience working in AI/ML.
- Generative AI: Demonstrable experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen-vl, DocOwl etc.) for understanding complex documents and images.
- AI/ML: Hands-on experience with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems.
- Hands-on experience with ML tools like TensorFlow, PyTorch etc.
- Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc.
- Excellent problem-solving and programming skills in Python.
- Excellent communication skills.
Preferred Qualifications & Skills:
If you have the following characteristics, it would be a plus:
- Master’s or PhD in Computer Science.
- Some experience with MLOps would be very beneficial.
- Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based would come in handy but is not necessary.
- Familiarity with Azure cloud (AKS, Azure AI, ADF, Document Intelligence etc.), though you’ll work with experts to gain this skill as well.
- Experience in training, evaluating and hosting open source LLMs would be a major benefit.
Closing Date for Applications: Thursday 9th January 2024 (COB)
Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391.
Why GSK?
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class (US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Important notice to Employment businesses/ Agencies: GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site.
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Senior Principal AI/ML Engineer employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal AI/ML Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as OpenAI, LangChain, and Azure AI. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with Generative AI and model evaluation, especially in real-world applications. Be prepared to discuss specific projects where you've successfully implemented these technologies during the interview.
✨Tip Number 3
Showcase your problem-solving abilities by preparing examples of how you've tackled complex challenges in AI/ML. This could include discussing trade-offs between different models or innovative solutions you've developed.
✨Tip Number 4
Network with current employees or professionals in the field to gain insights into GSK's culture and the AI/ML team's projects. This can provide you with valuable information to tailor your approach and demonstrate your genuine interest in the role.
We think you need these skills to ace Senior Principal AI/ML Engineer
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customize your cover letter to highlight how your experience aligns with the specific competencies mentioned in the job description. Focus on your expertise in AI/ML, particularly in Generative AI and NLP, and provide concrete examples of your past work.
Highlight Relevant Experience: In your CV, emphasize your extensive experience in AI/ML, especially with technologies like OpenAI, LangChain, and Azure AI. Include any hands-on experience with training BERT-like models and working with data science libraries, as these are crucial for the role.
Showcase Problem-Solving Skills: Demonstrate your problem-solving abilities by including specific projects or challenges you've tackled in your previous roles. This could involve discussing how you approached model building, evaluation, or any innovative solutions you implemented.
Review and Edit: Before submitting your application, thoroughly review your cover letter and CV for clarity and conciseness. Ensure that there are no grammatical errors and that your documents present a professional image. A well-polished application can make a significant difference.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your AI/ML Expertise
Be prepared to discuss your hands-on experience with AI/ML technologies, especially in Generative AI and NLP. Highlight specific projects where you've trained and evaluated models, and be ready to explain the methodologies you used.
✨Demonstrate Problem-Solving Skills
GSK values excellent problem-solving abilities. Prepare examples of complex problems you've tackled in previous roles, particularly those involving data science or AI/ML applications. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarize Yourself with the Tech Stack
Make sure you understand GSK's current tech stack, including OpenAI, LangChain, and Azure AI. If you have experience with these tools, be ready to discuss how you've utilized them in past projects and how they can be applied to GSK's needs.
✨Prepare for Team Collaboration Questions
Since this role involves cross-team collaboration, think of examples that demonstrate your ability to work effectively with diverse teams. Be ready to discuss how you've contributed to team success and navigated challenges in a collaborative environment.