Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

UNPAID VOLUNTEER - Principal/Senior Technology Officer (Artificial Intelligence)

Blockchain & Climate Institute/ BCI America Inc.
gb
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Acquisition Tech Team

Data Scientist - Hybrid

Data Scientist - Acquisition Tech Team

Data Scientist - Acquisition Tech Team

Data Scientist - Acquisition Tech Team

THIS IS AN UNPAID VOLUNTEERING ROLE.

Role Title: Principal/Senior Technology Officer (Artificial Intelligence)

Role Nature: Volunteer

Location: Home-based / Remote

The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. 

We are looking for a passionate VOLUNTEER who takes a methodological approach to their work, conducts independent research and analysis, engages with key stakeholders and establishes strategic partnerships to progress the BCI’s core mission.

This role is for a Principal Technology Officer (PTO - Artificial intelligence) and is a very senior position reporting to the CTO. The successful candidate will provide strategic and technical leadership for Artificial Intelligence across all BCI projects. You will be responsible for overseeing and implementing the use of AI, Machine Learning, Data Science, Data Modelling and associated tooling for internal productivity and climate action. You will perform research, onboard and train other team members, execute proof of concepts and pilots, and build applications using available data sets and AI models.

As with all roles in BCI, this role is a voluntary unpaid role.

You will have the opportunity to work with a diverse and passionate group of experts, collaborate with leading organisations and stakeholders in the field of climate and sustainability, and contribute to the advancement of knowledge and innovation in this domain. You will also gain valuable experience and skills in emerging technologies, project management, and leadership.

Responsibilities:

  • Define and execute the AI technology strategy and roadmap for BCI’s projects and initiatives;
  • Build, lead and manage the AI technology team, including hiring, training, mentoring, and performance evaluation;
  • Research and identify the best data sets and AI models for our use cases and objectives;
  • Design, develop, test, and deploy applications and solutions using AI, Machine Learning, Data Science, Data Modelling, and associated tooling;
  • Ensure the quality, reliability, security, and scalability of our technology products and services;
  • Monitor and evaluate the performance and impact of our technology solutions and provide feedback and recommendations for improvement;
  • Communicate and collaborate with internal and external stakeholders, including project partners, sponsors, donors, and beneficiaries;
  • Stay updated on the latest trends and developments in the field of emerging technologies, climate, and sustainability;
  • Generate opportunities for strategic partnerships; and
  • Attend conferences and events to promote the BCI, communicate research findings and insights via Powerpoint decks, and engage with key stakeholders.

Requirements

Skills & Abilities

  • Excellent oral communication skills, including the ability to develop effective working relationships, work flexibly across professional and operational boundaries, and communicate professionally with internal and external stakeholders at all levels;
  • Excellent organizational skills and ability to balance competing demands under pressure;
  • Proven ability in computing or math-related tasks of Agile technology projects;
  • Experience in building constructive relationships with stakeholders;
  • Experience in working independently and with teams to drive forward projects using own initiative;
  • Experience in designing, planning, and facilitating independent research and the ability to meet tight deadlines; and
  • Excellent communication, presentation, and interpersonal skills with the ability to present ideas appropriately and persuasively

General & Specialist Knowledge

  • Strong technical skills, proficient in various programming languages, frameworks, and tools for data analysis ad AI development, such as Python, R, TensorFlow, PyTorch, Scikit-learn, etc;
  • Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail orientated;
  • Experience in developing and deploying applications and solutions using cloud platforms, such as AWS, Azure, Google Cloud, etc.;
  • A portfolio of supported Open-Source GitHub projects (desirable);
  • Experience in leading and managing technology teams and projects, including agile methodologies, budgeting, reporting, and documentation; and
  • Passionate and knowledgeable about climate and sustainability issues and solutions, with a sense of mission and willingness to learn not just about technology but also about all other aspects that could be necessary to deliver impactful climate actions.

Education & Training

  • Bachelor’s or master’s degree (or equivalent) in Computer Science, Engineering, Information Technology, or related field;
  • Fluent in English; and
  • Aptitude in Arabic, Chinese, French, Russian, or Spanish (desirable).

Relevant Experience

  • At least 5 years of professional experience in AI, Machine Learning, Data Science, Data Modelling, or a related field;
  • Nimble business mind with a focus on developing creative solutions;
  • Strong project reporting skills with a focus on inter-departmental and inter-organisational communication; and
  • Experience of working independently and with teams to drive forward projects using own initiative.

Benefits

What difference will you make?

Blockchain and other emerging technologies. Climate change and sustainability. These are two hot topic groups that have been headlining media outlets, dominating conferences & events, and gaining increasing traction in research and pilot projects.

BCI is here as an expert platform to help governments, inter-governmental and regional organizations as well as relevant corporates to negotiate the complex landscape of emerging technologies for environmental good. We cement our expertise by putting in the hard work in researching, identifying, and analyzing the applications of emerging technologies so that informed decisions can be made by the stakeholders in the climate change and action network.

Benefits you will get from volunteering with BCI are enormous and some include:

  • You will hone or learn new skills including research, presentation, writing, professional etiquette,
  • Your mind will be mentally stimulated, hence providing you with a sense of purpose;
  • You will advance and boost your professional career by helping you to make professional connections and giving you real-world experience at the intersection between climate and emerging technologies; and
  • Help you develop long-lasting professional relationships with others. People who come together to make the world a better place forge a close connection.

Selection Process

As a voluntary organization, we are pleased to open the door for candidates who may not have the prior experience they need to start, progress, or switch their careers. To recruit the most suitable, talented, or potential new members out of the volume of applications received, it is the BCI’s policy to also consider inexperienced candidates to fill our voluntary unpaid roles as long as they can demonstrate the skills required in the written assessment. In the selection process, most candidates will be invited to complete the following assessment.

Section A: Verbal and Numerical Reasoning (20 multiple-choice questions)

Section B: Situation Judgement Test (20 multiple-choice questions)

Section C: In-Tray Exercise (An open-ended assessment relevant to the duties of the role)

Candidates who pass all three sections will be invited to attend a phone screening, first interview, and final interview online.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.