Founding ML/ data Engineer

Maiven
London, England
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior Cloud Site Reliability Engineer

Wayve London, United Kingdom
On-site

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Commercial Data Scientist

Synthesia London, United Kingdom
Remote

Principal ML Platform Engineer

Synthesia London, United Kingdom
Remote

Senior Research Engineer - Audio Post-Training

Synthesia London, United Kingdom
Remote
Posted
17 May 2025 (12 months ago)


🌳 Founding Engineer - Climate Tech (ML/ Data, Python)

📍 Location:London

🌎 Company:Maiven - making climate policy simple | [maiven.tech]

📞Contact:Georgina Steele (CTO);


About Us:

AtMaiven, we’re on a mission to empower companies to navigate the complex climate policy landscape with ease. We’re building a product that leverages AI to help businesses anticipate and respond to climate policy changes so they can make informed climate and business decisions. With customers already on board, we’re growing our team to accelerate the development of our product to drive real-world and environmental impact.


If you’re passionate about using interesting technology for good and want to be part of a founding team shaping the future of climate tech, this is an exciting opportunity. At Maiven, you’ll have a chance to build impactful products with a talented and diverse team that values creativity, ownership, and growth. Our co-founders bring significant experience in tech and climate, and they prioritise cultivating an empowering, inclusive, and value-driven people-first culture from day one.


The Opportunity:

This is an exciting role for anML/ Data Engineerwith a passion for climate tech. As a founding engineer at Maiven, you will have the unique opportunity to shape our product, influence company culture, and work alongside a team that deeply cares about helping people develop and succeed. You’ll work closely with the founders and engineering team to set the technical direction of the company. This is a rare opportunity for an ML engineer with a desire to learn and grow while creating meaningful change, work with cutting-edge technology, and make a direct impact on customers, society and the environment.


What You'll Do:

  • Lead Development:Create scalable ML pipelines to extract key policy data from complex policy documents. Architect and build inference pipelines at the heart of our product. This is greenfield development so you have the freedom and flexibility to choose the right technology for the product.
  • Customer-Centric Innovation:Engage with our early customers to understand their needs, iterate based on feedback, and deliver data that drives real value.
  • Ownership and Collaboration:Take ownership of your area and collaborate closely with the founding team to ensure customer needs are met.
  • Adapt and Grow:Be the kind of person who can quickly learn new tools, adapt to new challenges, and thrive in a fast-paced environment.
  • Champion Culture:Help define Maiven’s company culture by contributing to our inclusive, growth-oriented environment.


Who You Are:

  • Engineer with a love of data: You have hands-on experience dealing with complex text data and applying the most up-to-date methodologies to create scalable ML pipelines. You prioritise understanding the data to be able to design the best solutions.
  • SQLis your bread and butter and you’re adept at using it to make the most sense of data. This role is split between ML and data engineering so being able to create a good understanding of the data is key to setting up the best systems.
  • Self-starter:You thrive in an autonomous setting and are motivated by impact, ownership, and learning.
  • Quick Learner:Eager to tackle complex challenges and bring creative solutions to the table. You’re able to learn quickly, pivot when necessary, and make decisions that balance short-term agility with long-term stability.
  • Team Player with Vision:You care about the mission, our customers, the team, and you’re excited to be part of a value-driven culture.
  • Tech-for-Good Enthusiast:Passionate about climate change and using technology for positive, large-scale impact.


Our technology:

We don’t mind if you don’t have experience in everything listed here, it’s more to give you a flavour of what we are building. You’ll also note that the list isn’t very long - as a founding engineer you will have the opportunity to shape the technology we use.

  • Python
  • AWS
  • Dagster
  • SQL
  • DBT
  • MLflow
  • ML (LLM, RAG, etc.)


Why Join Maiven?

  • Work with Purpose:Tackle one of the most critical issues of our time - climate change.
  • Career Growth:Work with a founding team that prioritises learning, ownership, and career development.
  • Inclusive Culture:Join a team committed to bringing together top talent from all backgrounds to create a supportive, innovative workplace.
  • Ownership & Autonomy:This role is an opportunity to take on high-impact responsibilities and make a meaningful contribution from day one.

At Maiven, you’ll join a small, passionate team at the ground level, with the chance to shape both the product and the company’s future. If you’re looking for a position where your skills, creativity, and commitment to a sustainable future can flourish, we’d love to meet you!


What if you’re a partial fit? 

We prioritise grit and positivity and encourage you to apply even if your experience doesn't exactly match this job description. We’d much prefer to hire someone who has the ability to learn quickly rather than someone who ticks boxes perfectly.

Equal employment opportunity 

At Maiven, we recognise that to build the best teams, we need people from diverse backgrounds with diverse experiences. We are creating an inclusive workplace where people’s varied backgrounds and experiences are valued and recognised. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.