At a Glance
- Tasks: Lead NLP and AI projects from research to production, tackling complex language challenges.
- Company: AI-driven software business in the RegTech and compliance space.
- Benefits: Competitive salary, fully remote work, high ownership, and clear progression opportunities.
- Other info: Dynamic environment with annual meetups and strong research focus.
- Why this job: Join a collaborative team and make an impact with cutting-edge AI products.
- Qualifications: Master's or PhD in NLP, ML, or related field with commercial experience.
The predicted salary is between 100000 - 120000 £ per year.
Are you a Master's or PhD-qualified NLP specialist looking to build AI products at scale? This is an opportunity to join a growing AI and compliance technology business where you'll own NLP and LLM initiatives from research through to production, working on complex language challenges across enterprise communications data.
The Company
They are an AI-driven software business operating within the RegTech and compliance space, helping large organisations manage risk across digital communications. Their products leverage NLP, machine learning, and LLMs to analyse large volumes of unstructured data across text, voice, video, and collaboration platforms.
The Role
- Own NLP and AI projects from concept through to production deployment
- Build models and pipelines analysing text, audio, video, and other unstructured data
- Apply both classical NLP techniques and modern LLM approaches
- Develop scalable, customer-facing AI products and features
- Work closely with engineering, product, and business teams
- Contribute to technical direction within a highly experienced AI function
Your Skills & Experience
- Master's degree or PhD in NLP, Machine Learning, AI, Computer Science, Linguistics, or a related quantitative field
- Commercial experience building and deploying NLP or ML solutions into production
- Strong understanding of both traditional NLP methods and modern LLMs
- Experience taking products from research or prototype stage through to production
- Strong Python and software engineering fundamentals
- Experience working with large-scale unstructured data
- Exposure to compliance, cybersecurity, financial services, or other regulated environments is beneficial
What They Offer
- £100,000 - £120,000 base salary
- Fully remote UK working
- High levels of ownership and autonomy
- Collaborative team with a strong research background
- Annual company and engineering meetups
- Clear progression opportunities as the business grows
How to Apply
If you're a Master's or PhD-qualified NLP Engineer looking to build production-scale AI products using both classical NLP and LLMs, apply today to learn more.
Senior NLP Engineer in Oxford employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior NLP Engineer in Oxford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Harnham or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Harnham.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Harnham.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Harnham that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior NLP Engineer in Oxford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Harnham.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Harnham
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Harnham uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
