At a Glance
- Tasks: Own and develop NLP and AI solutions for real-world communication data.
- Company: AI-driven tech company focused on compliance and security in enterprise communications.
- Benefits: Competitive salary, innovative projects, and a collaborative team environment.
- Other info: Join a dynamic team with opportunities for growth and autonomy.
- Why this job: Shape the future of AI in risk detection and make a real impact.
- Qualifications: Strong experience in NLP, machine learning, and Python programming.
The predicted salary is between 80000 - 98000 £ per year.
This is a high impact Senior NLP Engineer role where you will work on complex, real world communication data at scale. You will own NLP and LLM driven products end to end, helping shape how AI is used to detect and manage risk across large enterprise environments.
The Company
They are an AI driven technology business operating within compliance and security for enterprise communications. Their platform processes large volumes of multi modal data across collaboration tools to help organisations meet regulatory requirements. The business is well established, backed by major investors, and recognised for its innovation in applied AI. You will join a collaborative and experienced engineering and data science team with strong ownership and autonomy.
The Role
- Own NLP and AI solutions from data ingestion through to production deployment
- Build and improve models that process text, voice, video and image data
- Develop and apply LLMs for risk detection and product features
- Design scalable pipelines for high volume, real time data processing
- Partner with product and engineering teams to deliver impactful solutions
Your Skills and Experience
- Strong commercial experience in NLP and machine learning, including production systems
- Hands on experience with LLMs and modern AI techniques alongside classical ML
- Solid Python and software engineering fundamentals
- Experience working with unstructured, real world data at scale
- Ability to work cross functionally and communicate technical concepts clearly
NLP Engineer in Chesterfield employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land NLP Engineer in Chesterfield
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harnham!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like NLP Engineer at Harnham.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like NLP Engineer at Harnham, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace NLP Engineer in Chesterfield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
