At a Glance
- Tasks: Design and deliver AI solutions to transform healthcare and improve patient outcomes.
- Company: Leading organisation in Healthcare & Life Sciences with a focus on innovation.
- Benefits: Competitive salary packages, flexible contract options, and opportunities for impactful work.
- Other info: Work on transformative AI programmes with excellent career growth potential.
- Why this job: Join a team making a real difference in healthcare through advanced AI technologies.
- Qualifications: Extensive experience in AI within healthcare, strong Python skills, and knowledge of cloud platforms.
The predicted salary is between 81000 - 99000 £ per year.
Artificial Intelligence expertise is becoming increasingly common. Deep Healthcare & Life Sciences expertise is not. We're supporting a leading organisation on the appointment of several AI specialists who combine exceptional technical capability with genuine Healthcare & Life Sciences experience. This is not a role for someone who has delivered the occasional AI project for an NHS Trust or pharmaceutical company - we're looking for professionals whose careers have been built within the healthcare sector.
Whether your experience comes from the NHS, private healthcare, health technology, pharmaceuticals, biotechnology, medical devices or life sciences, you'll understand the complexity of clinical and patient data, regulatory requirements, governance, and how AI can be deployed responsibly to improve patient outcomes, operational efficiency and clinical decision-making.
We're interested in people with backgrounds such as:
- Senior AI Engineer
- AI Architect
- Principal AI Engineer
- Machine Learning Engineer
- AI Solutions Architect
- GenAI Consultant
- AI Platform Engineer
- AI Technical Lead
- AI Delivery Lead
What you'll bring:
- Extensive commercial experience delivering AI solutions within Healthcare & Life Sciences.
- A career built predominantly across healthcare providers, health technology, pharmaceuticals, biotechnology, medical devices or life sciences organisations.
- Hands-on experience designing and delivering production AI and Generative AI solutions.
- Strong Python and modern AI framework experience.
- Experience with LLMs, AI agents, RAG, orchestration frameworks and enterprise AI platforms.
- Knowledge of cloud platforms such as Azure, AWS or GCP.
- A strong understanding of healthcare regulation, governance, security, privacy and ethical AI.
- Experience working with sensitive clinical, patient or research data.
- Excellent stakeholder engagement skills across both technical and non-technical teams.
You'll likely have experience with:
- Agentic AI
- Generative AI
- Large Language Models (OpenAI, Anthropic, Gemini, Llama or similar)
- Retrieval Augmented Generation (RAG)
- AI architecture and enterprise integration
- MLOps and production deployment
- Responsible AI and model governance
- Enterprise data platforms
- Clinical, operational or research AI applications
What's important: The technology matters. However, your understanding of Healthcare & Life Sciences matters even more. We're specifically looking for professionals who understand the regulatory landscape, clinical workflows, patient safety considerations and operational challenges unique to Healthcare & Life Sciences, and who have repeatedly delivered AI solutions within that environment.
Permanent and contract opportunities are available, with highly competitive salary packages and day rates depending on experience. If you've built your AI career within Healthcare & Life Sciences and want to work on genuinely transformative AI programmes, we'd love to hear from you.
AI Engineer Healthecare in London employer: 83zero Limited
Caterpillar's Hydraulic Installation team in Peterlee offers an exceptional work environment where innovation meets real-world impact. With a strong focus on employee growth and development, we provide opportunities for our engineers to advance their skills while working on cutting-edge hydraulic systems that power some of the toughest equipment on earth. Our collaborative culture and commitment to excellence make us an outstanding employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Healthecare in London
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We think you need these skills to ace AI Engineer Healthecare in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at 83zero Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 83zero Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at 83zero Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at 83zero Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
