
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
AI/NLP/Data Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI/NLP/Data Engineer based in United Kingdom.
This role offers the opportunity to build advanced AI and natural language processing solutions that transform digital customer experiences. You will design, develop, and optimize machine learning models, data pipelines, and intelligent automation systems that support real-world business applications. Working at the intersection of AI research and production engineering, you will help create scalable solutions using modern technologies and cloud infrastructure. The position combines technical innovation, experimentation, and hands-on development to bring AI capabilities from concept to deployment. You will collaborate with engineering teams to improve model performance, build reliable AI platforms, and solve complex data challenges. This is an exciting opportunity for an AI-focused engineer passionate about creating practical, impactful machine learning solutions in a fast-growing environment.
Accountabilities
- Build, improve, and deploy NLP, generative AI, and machine learning models that support intelligent digital engagement solutions.
- Develop scalable infrastructure for AI modeling, experimentation, training, deployment, monitoring, and continuous improvement.
- Design and maintain data processing pipelines, AI trainer tools, and workflows that enable efficient model development.
- Research, prototype, and implement algorithmic improvements to enhance model accuracy, performance, and scalability.
- Develop machine intelligence solutions tailored to customer needs and industry-specific use cases.
- Monitor, debug, and optimize AI models running in production environments.
- Collaborate with platform and engineering teams to create tools and capabilities that accelerate AI development and deployment.
- Contribute to technical documentation, knowledge sharing, and internal training initiatives related to AI and machine learning.
- Make thoughtful technology decisions that balance innovation, scalability, and business impact.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- 3+ years of experience in AI, machine learning, NLP, data engineering, or related technical fields.
- Master's degree or equivalent experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Science, or a related discipline.
- Proven experience building production-quality AI systems involving generative AI, NLP, speech processing, deep learning, or similar technologies.
- Strong software engineering skills with experience developing reliable, scalable applications.
- Experience designing and deploying machine learning models with limited training data.
- Strong understanding of AI/ML development workflows, experimentation frameworks, and model deployment practices.
- Ability to quickly learn new technologies, research emerging techniques, and turn ideas into production-ready solutions.
- Experience working with Python and machine learning frameworks such as PyTorch.
- Familiarity with cloud environments such as AWS or Google Cloud Platform.
- Experience with technologies such as Linux, Airflow, Docker, or Node.js is a plus.
- Strong communication skills with the ability to collaborate effectively in a dynamic, cross-functional environment.
- Passion for improving AI systems and building robust, scalable machine learning solutions.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Competitive salary package with equity opportunities.
- Comprehensive medical, dental, and vision benefits.
- Unlimited paid time off policy.
- Fully remote work-from-home opportunity.
- Access to modern development tools, hardware, and collaboration platforms.
- Opportunity to work with cutting-edge AI, NLP, and machine learning technologies.
- Collaborative team environment focused on innovation and continuous learning.
- Opportunity to make a significant impact by developing practical AI solutions at scale.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location