At a Glance
- Tasks: Create AI solutions to tackle climate change and drive innovation.
- Company: Leading Climate Change Research Body with a focus on sustainability.
- Benefits: Hybrid work model, competitive pay, and impactful projects.
- Other info: Diverse and inclusive workplace with opportunities for growth.
- Why this job: Join a mission-driven team making a real difference in the world.
- Qualifications: Experience with Azure AI services and a passion for environmental issues.
The predicted salary is between 70000 - 90000 £ per year.
A leading Climate Change Research Body is seeking an experienced AI Engineer to join their technology team on an initial six-month contract. This role offers the opportunity to work on a variety of applied AI initiatives, helping transform concepts into working prototypes that deliver measurable organisational value. Working alongside internal technical teams, you will develop and validate AI-driven solutions using Microsoft and Azure technologies, while ensuring effective knowledge sharing and documentation throughout the engagement.
Key Responsibilities
- Build and deliver AI proof-of-concept solutions within a Microsoft Azure ecosystem.
- Develop intelligent search, knowledge retrieval and conversational AI capabilities.
- Create prototypes focused on automation, document analysis, summarisation and workflow optimisation.
- Support predictive analytics and data-driven decision-making initiatives.
- Produce clear technical documentation, implementation notes and handover materials.
- Collaborate closely with stakeholders to demonstrate outcomes and refine solutions.
Required Experience
- Strong hands-on experience with Azure AI services, including Azure AI Foundry, Azure AI Search and Azure Machine Learning.
- Proven experience building AI agents and agentic workflows using Microsoft Copilot, Copilot Studio and Azure AI services.
- Proven track record delivering AI prototypes, pilots or innovation projects.
- Experience with Retrieval-Augmented Generation (RAG), prompt engineering and knowledge-grounded AI solutions.
- Familiarity with Microsoft 365, SharePoint, Teams and Copilot-related technologies.
- Understanding of security, governance, data privacy and responsible AI principles.
- Ability to communicate technical concepts clearly and support knowledge transfer to internal teams.
This is an excellent opportunity to contribute to impactful AI initiatives within a highly respected organisation addressing some of today's most important environmental and sustainability challenges. Interested? Apply now with your latest CV to be considered for this exciting opportunity. Early applications are encouraged as interviews will be arranged on a rolling basis.
AI Engineer employer: Boston Hale
Join a leading Climate Change Research Body as an AI Engineer and be part of a mission-driven team dedicated to tackling pressing environmental challenges. With a hybrid work model in SW London, you will enjoy a collaborative work culture that fosters innovation and knowledge sharing, alongside opportunities for professional growth in the rapidly evolving field of AI. This role not only offers the chance to develop impactful AI solutions but also supports a diverse and inclusive workplace where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Boston Hale, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Boston Hale, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Boston Hale’s attention and show the tangible impact of your work.
How to prepare for a job interview at Boston Hale
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Boston Hale.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Boston Hale.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Boston Hale.
