Infused Solutions
AI Engineer (Machine Learning & NLP)

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AI Engineer (Machine Learning & NLP)
Location: Fully Remote (UK)
Salary: £60,000 - £70,000 + Benefits
Type: Permanent
Eligibility: Applicants must have the right to work in the UK. Unfortunately, sponsorship is not available for this position.
The Opportunity
We're looking for an AI Engineer to join an innovative team building cutting-edge AI and machine learning solutions. This is an exciting opportunity to work on large-scale AI platforms, helping to productionise machine learning models and develop cloud-native systems that power intelligent applications. You'll work closely with Data Scientists and Engineering teams to design, build and deploy scalable AI services, with a particular focus on Machine Learning, NLP and Large Language Models (LLMs).
Key Responsibilities
- Build and maintain scalable data pipelines and AI processing workflows.
- Develop, deploy and optimise RESTful APIs and microservices for AI model serving.
- Design cloud-native backend systems following enterprise architecture best practices.
- Partner with Data Scientists to productionise Machine Learning and NLP models.
- Improve system reliability, scalability, observability, security and performance.
- Contribute to CI/CD pipelines, automated testing and Infrastructure as Code.
- Develop integrations that improve interoperability across enterprise systems.
- Support internal and external consumption of AI models and data services.
- Translate technical requirements into robust, scalable engineering solutions.
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.
Skills & Experience
We're looking for someone with experience across backend engineering and modern AI technologies, including:
- Degree (BS, MS or PhD) in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.
- 4+ years' commercial experience in Backend Engineering, Machine Learning Engineering or Data Engineering.
- Strong Python development experience.
- Experience with FastAPI, Flask or Django.
- Building and maintaining RESTful APIs and microservices.
- Strong SQL skills with PostgreSQL or similar relational databases.
- Experience working within AWS and/or Azure cloud environments.
- Knowledge of distributed systems and scalable architectures.
- Commercial experience with Machine Learning, Natural Language Processing (NLP) or AI applications.
- Experience with CI/CD pipelines, automated testing and containerised deployments.
- Strong problem-solving skills with a focus on performance, reliability and maintainability.
- Excellent communication skills and fluent English.


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Desirable Experience
Experience with any of the following would be highly beneficial:
- Large Language Models (LLMs)
- Transformers
- PyTorch
- Databricks
- Kubernetes
- Terraform
- Kafka
- Knowledge Graphs
- MLOps and model deployment best practices
Technology Stack
- Python
- FastAPI
- SQL / PostgreSQL
- PyTorch
- Transformers / LLMs
- Databricks
- Terraform
- Kubernetes
- AWS & Azure
- Kafka
- Git
- CI/CD
- Knowledge Graph
What's on Offer
- Fully remote working within the UK
- Salary between £60,000 - £70,000
- Opportunity to work on cutting-edge AI, Machine Learning and NLP projects
- Modern cloud-native technology environment
- Collaborative engineering culture with opportunities for learning and career progression
Please note: Applicants must already have the right to work in the UK. Visa sponsorship is not available for this position.
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