Machine Learning (ML) Engineer

We are a dynamic generative AI start-up, which has swiftly grown from a 2-person founding team to a thriving workforce of over 100 in just 4 years, including a strategic expansion into the US market.

We specialise in simplifying the complex landscape of government grants and funding opportunities, with a proven track record of streamlining the process for time-strapped technology enterprises across various industries.

Having raised over $150m to date, our unique approach enables businesses to secure substantial government funding (up to seven figures) in significantly less time, surpassing industry norms by an impressive eightfold.

Do you thrive on the challenge of developing innovative machine-learning solutions that can transform the way businesses secure funding? Are you passionate about leveraging cutting-edge technologies like Natural Language Processing (NLP) and Large Language Models (LLMs) to create scalable systems that make a real impact? If so, we want to talk to you.

Grantify is seeking a talented and driven Machine Learning Engineer to join our dynamic team. This role will be pivotal in advancing our AI-driven grant application platform, enabling start-ups to secure funding faster and more effectively. You will play a key role in integrating state-of-the-art NLP and LLM technologies into our platform, helping us to achieve our ambitious goal of raising $1B for start-ups by 2028.

Why You'll Love Working Here:

• Lead Innovation:Take charge of automating the research and development of grant applications. You'll have the autonomy to explore and test new AI approaches that streamline and optimise the creation of high-quality grant applications, setting a new standard in the industry.
• Innovative Environment:Join a team at the forefront of AI technology, where your ideas and contributions will directly shape our platform and impact the success of countless start-ups.
• Continuous Learning:Stay on the cutting edge of NLP and LLM advancements, with opportunities for continuous professional development and growth.
• Collaborative Culture:Work closely with cross-functional teams in a supportive and inclusive environment, where your expertise will be valued and your contributions recognised.
• Remote Flexibility:Enjoy the flexibility of remote work, supported by a generous home office setup budget.
• Collaborative Atmosphere:Work alongside passionate and talented colleagues in a supportive and collaborative environment.
• Health and Wellbeing:Benefit from comprehensive private medical insurance and generous leave allowances.
• Exciting Social Events:Participate in fun and engaging company-wide social events, including international trips.

Ideal Outcomes in Your First 12 Months:

• Develop and Deploy Grant Application Models:Design, implement, and maintain robust NLP models tailored to generate and curate high-quality grant applications, ensuring scalability and reliability.
• Implement Prompt Engineering Solutions:Create innovative prompt engineering systems to enhance the relevance and content quality of grant applications.
• Integrate with Grant Application Platform:Collaborate with our team to seamlessly integrate NLP solutions into our platform, improving efficiency and accuracy.
• Drive Research and Innovation:Stay updated with the latest in NLP, LLM, and Retrieval-Augmented Generation (RAG) systems, continuously incorporating cutting-edge methods to enhance our platform.
• Ensure Data Integrity:Manage and preprocess datasets related to grant applications, maintaining data quality and integrity.
• Monitor and Enhance Performance:Continuously monitor model performance, using metrics and feedback to refine and improve the effectiveness of our solutions.
• Comprehensive Documentation:Provide detailed documentation of model development processes, ensuring transparency and clarity for stakeholders.

About You:

• Proven ML Experience:A minimum of 2 years of hands-on experience as a Machine Learning Engineer, with a strong track record of developing, deploying, and optimising machine learning models in real-world applications.
• Start-ups/Scale-ups:Ideally you will have experience working with start-ups/scale-ups.
• NLP and LLM Expertise:Strong understanding and hands-on experience with NLP techniques and large language models, particularly in content generation and curation.
• Deployment Strategies Knowledge:Basic know-how of deployment strategies, including experience with AWS services such as Lambda, ECR, SQS, DynamoDB, and SAM, to effectively deploy and manage machine learning models in a cloud environment.
• Prompt Engineering Skills:Proficiency in developing prompt engineering solutions.
• Programming Proficiency:Expertise in Python and experience with frameworks like TensorFlow, PyTorch, or similar.
• RAG and Multi-agent Systems Knowledge:Experience with Retrieval-Augmented Generation systems and familiarity with multi-agent systems.
• Data Handling Skills:Expertise in managing large datasets, including data cleaning, pre-processing, and augmentation.
• Analytical and Problem-Solving Abilities:Strong ability to develop innovative solutions to improve grant application outcomes.
• Collaboration and Communication:Excellent team collaboration and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Continuous Learning:A proactive approach to learning and applying the latest NLP and LLM techniques.
• Project Management:Ability to manage multiple projects, ensuring timely and high-quality delivery.

Perks & Benefits

Competitive Compensation:We offer an attractive salary package, which will be transparently discussed with you before the interview process begins.

Generous Leave Allowance:25 days annual leave + bank holidays.

Health and Wellbeing:Private medical insurance to keep you at your best.

Work from Home Support:£1500 setup budget for a comfortable and efficient workspace.

Social Connectivity:Quarterly socials to build camaraderie. Last year, we all went to Barcelona. This year, it’s Rome!

Enhanced Parental Leave:Support during significant life moments.

About Grantify

We are a dynamic generative AI start-up that has rapidly grown from a 2-person founding team to a vibrant workforce of over 100, with a strategic expansion into the US market. On average over the past three years, Grantify has doubled in size annually, earning recognition as the 46th fastest-growing company in the UK for 2024.

Our unique AI grant writing platform has successfully raised over $150 million for start-ups, helping businesses across various industries secure substantial government funding, reaching up to seven figures. We simplify the complex landscape of government grants and funding opportunities, enabling technology enterprises to access funds eight times faster than the industry average. We are proud of our 4.8 rating on TrustPilot, reflecting our commitment to exceptional service and results.

Looking ahead, we have ambitious plans to raise $1 billion in funding and become the number one funding launchpad globally. Join us on this exciting journey and be a part of our innovative team shaping the future of funding opportunities.

Hiring Process

1. Click Apply

2. Initial Interview (30mins)

3. Technical Interview/Task  (60mins)

4. Final Interview (30mins)

5. Offer

The whole process usually takes about 4 weeks from end to end, but we’re flexible and will do our best to accommodate timings that will work for you. As you progress through the stages, our Talent Acquisition Manager will share feedback and information on what to expect/prepare for. We aim to provide feedback and/or updates within 72 hours of each step.

Our Commitment to Diversity

At Grantify, we believe in fostering an inclusive environment where diversity is celebrated. We encourage applications from people of all backgrounds and are committed to building a team that reflects a variety of perspectives and skills.