At a Glance
- Tasks: Develop innovative AI solutions for compliance using cutting-edge technologies like NLP and ML.
- Company: Join a dynamic startup revolutionising compliance solutions across various industries.
- Benefits: Competitive salary, stock options, private healthcare, and 25 days annual leave.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in the compliance industry while working with the latest AI advancements.
- Qualifications: Experience with NLP, LLMs, and cloud computing; passion for machine learning is essential.
The predicted salary is between 50000 - 70000 £ per year.
About Naq
At Naq, we empower businesses to navigate complex compliance requirements effortlessly. We believe that compliance should no longer be a burden, but rather an opportunity for growth and innovation. As an AI Engineer, you will be at the forefront of this transformation, working alongside a diverse and ambitious team passionate about making a lasting impact on the industry. You will have the opportunity to develop groundbreaking solutions that enable thousands of businesses in sectors such as healthcare, education, defence, and finance to meet their compliance obligations.
By collaborating closely with our clients, you will gain a deep understanding of their unique needs and challenges, allowing you to create tailor‑made solutions that address their specific requirements. You will also collaborate with our team of legal and security experts to ensure that our customers meet the strict compliance demands of their customers and partners. We are revolutionizing the way businesses achieve compliance, replacing expensive and exploitative consultants and lawyers with an easy, affordable, and dare we say, fun approach.
We are seeking a passionate AI Engineer who is driven by the desire to make a real impact. This is your chance to be part of a dynamic and fast‑growing startup that is tackling some of the world's most pressing challenges. Join us at Naq as we revolutionize the compliance industry and empower businesses to thrive in a complex regulatory landscape.
As an AI Engineer at Naq, you will work with cutting‑edge technologies such as natural language processing (NLP), machine learning (ML), and deep learning (DL). Our team is constantly pushing the boundaries of innovation, so you can expect to be at the forefront of the latest advancements in AI and LLM technologies.
About the Role
As an AI Engineer, you will specialise in Natural Language Processing (NLP) and Large Language Models (LLMs), bringing unparalleled expertise and problem‑solving prowess to the table. Your deep understanding of LLMs, including cutting‑edge models like GPT‑4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone, and their seamless integration into SaaS platforms using tools like AWS Bedrock, will enable us to push the boundaries of innovation.
You possess a unique ability to adapt and debug ML systems across various environments, and your passion for machine learning extends to all aspects of the field. Your expertise lies in parameter‑efficient adaptation of large language models, production‑grade ML systems, long‑context text summarization, and much more. You thrive on bringing ideas to life and transforming them into tangible ML systems that revolutionize industries. Your mastery of transformers is unparalleled, and you are well‑versed in utilising API wrappers such as LangChain and Auto‑GPT.
You have a proven track record in evaluating LLMs and have a keen understanding of prompt engineering, semantic search, and embedding‑based fine‑tuning of NLP models like those found in Sentence Transformers. At Naq, we believe in collaboration and teamwork. You will work closely with our talented team to design new product features, finding creative solutions to complex problems. Your ability to communicate clearly and set expectations will be crucial in driving our projects forward.
Naq is not just any company – we foster a culture of innovation, growth, and excellence. We provide a dynamic and supportive work environment that encourages you to push boundaries and unleash your full potential. This role offers a hybrid work model, combining the best of both worlds – the flexibility of remote work and the camaraderie of our central London office. Our engineers are required to be in the office at least three days a week.
What you can expect from us
Are you ready to join a team that is revolutionising compliance solutions in Europe? At Naq, we are not just building software, we are shaping the future of regulatory compliance. As an AI engineer, you will play a pivotal role in our mission to become Europe's leading compliance solution. We want your time at Naq to be the highlight of your career. As a growing startup, we understand the importance of creating a supportive and inspiring work environment. We will provide you with all the tools, resources, and training you need to excel in your role. Whether it's additional courses or qualifications, we are committed to helping you grow both personally and professionally.
What sets us apart is our belief in the power of collaboration. As a valued member of the Naq team, your contributions will directly impact our success. We encourage you to bring your ideas to the table, be it in product roadmap development or any other aspect of the business. Your voice matters, and we want you to have a stake in our journey.
In addition to enabling you to be the best engineer you can be, you can also expect the following:
- A starting salary from £50k to £70k, with the possibility of moving up quickly based on performance
- 25 days annual leave (+ bank holidays)
- Employee stock options
- Private healthcare
- Mental health support
- Bespoke training plans
- Central London office
Knowledge and experience
The role will require:
- Demonstrable professional experience in proprietary and open source NLP and Large Language Models, e.g. GPT‑4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone
- Experience with fine tuning models with proprietary datasets
- Familiarity with RAG
- Experience of translating user requirements into workflow designs/specifications
- Good knowledge of cloud computing environments is essential with a preference for AWS
- Experience working with Git
- Experience working with fast‑moving teams with a high focus on reliable solutions
- Good coding practices, patterns, documentation and software design
- Have entrepreneurial spirit, initiative and autonomy so you can make a significant contribution to Naq and our customers
- Bachelor's or higher degree in Computer Science, Mathematics or a related field.
The following will be advantageous:
- AI/ML approaches to problems in the Cyber Security, Finance, Medical and/or other forms of regulatory compliance
- Programming skills in C# or another C‑based language
- Programming skills in Python
- Experience building and optimising data processing pipelines e.g. SQL/NoSQL
- Experience with graph databases
- Experience working with AWS hosted environments (S3, Cognito, IAM, DynamoDB, RDS, Lambda etc.)
- Experience working with non‑relational databases (e.g. DynamoDB) and relational databases (e.g. PostgreSQL)
Machine Learning Engineer employer: Naq
At Naq, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our dynamic team in central London is dedicated to empowering employees with growth opportunities, comprehensive training, and a supportive work environment that values your contributions. With competitive salaries, flexible hybrid working arrangements, and a commitment to employee well-being, Naq is the perfect place for passionate individuals looking to make a meaningful impact in the compliance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and ML. This is your chance to demonstrate your expertise and problem-solving abilities, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. Think about how you can articulate your experience with LLMs and cloud environments clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission at Naq.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your passion aligns with our mission at Naq to revolutionise compliance solutions.
Tailor Your Experience:Make sure to highlight your relevant experience with NLP and LLMs in your application. We’re looking for specific examples that demonstrate your expertise and how you can contribute to our innovative team.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that communicate your skills and experiences effectively, so avoid unnecessary jargon and fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Naq.
How to prepare for a job interview at Naq
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest NLP and LLM technologies mentioned in the job description, like GPT-4 and Huggingface. Brush up on your understanding of how these models work and be ready to discuss their applications in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced with ML systems and how you adapted or debugged them. This will demonstrate your hands-on experience and ability to think critically.
✨Emphasise Collaboration
Since Naq values teamwork, be ready to talk about your experiences working in fast-moving teams. Highlight instances where you contributed to group projects or collaborated with cross-functional teams, especially in designing product features or workflows.
✨Ask Insightful Questions
Prepare thoughtful questions about Naq’s approach to compliance solutions and how they integrate AI technologies. This shows your genuine interest in the company and helps you understand if it’s the right fit for you.
