Immersum
Python Developer

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Senior AI Python Engineer (MLOps)
Remote – UK
Tech stack: Python, AI/ML, MLOps, AWS/Cloud, Docker, CI/CD, Data Pipelines, LLMs
£90,000 - £100,000
Immersum is partnering with a high growth AI SaaS company transforming how the pharmaceutical industry measures and improves field execution.
We’re looking for a Senior AI Python Engineer to build, ship, and continuously improve the production systems powering their AI platform. This is a hands on engineering role where strong Python and production engineering skills come first.
The Role:
- Own AI-powered features end-to-end, from investigation through to production
- Build well-tested Python services, APIs, and production systems
- Deploy and scale AI/ML workloads in the cloud
- Build and maintain CI/CD pipelines and containerised workloads
- Develop reliable data, retrieval, and AI pipelines
- Implement monitoring, alerting, evaluation, and quality controls
- Optimise systems for latency, throughput, reliability, and cost
- Build resilient workflows that handle retries, failures, and recovery
- Work closely with AI, engineering, product, and commercial teams
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.
What We’re Looking For:
- Expert level Python and strong software engineering fundamentals
- 5+ years in software engineering, ML engineering, operating at a Senior level
- Experience building and operating production AI/ML system
- Strong testing, code review, version control, and clean coding practices
- Experience with cloud infrastructure, containers, CI/CD, and Infrastructure as Code
- Experience building and maintaining reliable data pipelines
- Understanding of production system design, scalability, monitoring, and deployment
- Strong problem-solving skills and ability to work in a fast-paced environment


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Nice to Have:
- Hands on experience with LLM or ML backed features in production
- Experience with model deployment, evaluation, prompting, or ML observability
- Workflow orchestration and queue/worker-based architectures
- Model serving, packaging, and versioning
- Strong understanding of end-to-end ML system design
- Experience working within pharma or another regulated industry
Why Join:
- Fully remote across the UK
- Join a fast-growing AI SaaS business
- Work on meaningful AI products with real-world impact in pharma
- Genuine ownership of production AI systems
- Ambitious, collaborative, and entrepreneurial environment
- Competitive salary, annual bonus, and full benefits package
“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
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