Our new developers were able to hit the ground running, we've worked with them for over two years now, and they are truly part of our team.
Alison WhittleProduct Delivery Manager, BladeFSIn-house feel, nearshore
TensorFlow Developers
Senior ML engineers are among the hardest hires in the British market, and most projects stall between the experiment and the product. We embed TensorFlow engineers who have carried models into production, full time and on your working day.
- Experienced across training, tuning and evaluation
- Deployment to cloud, mobile and edge targets
- Full-time embedded, on British hours
Training & OptimizationModel DeploymentPipeline IntegrationTooling & MLOps
Our Service
From training run to shipped feature
Your engineer owns the workflow end to end, from data preparation through serving, inside your team and tools. We put matched candidates in front of you within seven working days, and the engagement is one monthly fee on a rolling monthly contract.
- End-to-end ML workflow ownership
- TensorFlow and TensorFlow Lite in production
- One monthly fee, rolling monthly, 30 days notice
Employees, not freelancers
Applied ML, done properly
- Build and train neural networks for CV, NLP, and tabular data.
- Training & OptimizationTuning for speed, accuracy, and performance on any dataset.
- Model DeploymentDeploy to cloud, edge, or mobile with TensorFlow Serving or Lite.
- Pipeline IntegrationConnect models to real-time inputs and production systems.
- Tooling & MLOpsVersioning, monitoring, and performance tools integrated.
- Data Prep & PreprocessingClean, structure, and scale datasets with TensorFlow Data APIs.
The alternative
Get speed, fit and in-house feel without the hiring grind.
Cloud EmployeeIn-house hiringDev agenciesFreelancers
Speed to hire✓-✓✓
Flexibility to scale✓-✓✓
Developer fit (embedded)✓✓✓-
Full-time, only for you✓✓--
No overhead or upfront fees✓--✓
Solid lime = yes · outline lime = partial · grey dash = no
Vetting
You see two people - not 200 CVs.
Engineers vet engineers
A senior engineer runs a live technical conversation on the candidate's real stack, not a recruiter working from a keyword list.
Live coding, not take-homes
Real problems solved in front of an assessor, with anti-cheating checks. You see how they actually work, not what they submitted overnight.
A full profile, not a CV
Every candidate arrives with a CV, interview summary, coding-test breakdown and rate in pounds. You decide on evidence.
Every tab is a stage a candidate has to clear. Six of them, all run by our own internal engineers at Cloud Employee, before you see a name.
- Overview
- CV
- Tech interview
- Coding test
- Psychometric
- Soft skills
Scored by people. We use AI to cross-check our own consistency - never to decide who reaches your shortlist.
✓Luka M.
VettedSenior Software Engineer · TypeScript · Python · Cloud · 6 yrs · Zagreb, Croatia (GMT+1)
Assessment
Six years in production Python, the last three on LLM systems - retrieval pipelines, eval suites, and agent tooling for UK fintech. Owns delivery end to end.
Stack
Python · LangGraph
English
C1 fluent
Overlap
8 hrs UK
Notice
2 weeks
AI in practiceShips with Copilot and Claude Code daily, and rewrote 40% of the generated code in his observed task - the judgement is his, the tooling only makes him faster.
Career history
2023 - now
Senior AI Engineer
UK payments platform · 40-person product team
Built the retrieval assistant now resolving 30% of tier-1 tickets; owns its eval suite and guardrails.
2020 - 2023
Backend Engineer, Python
Travel booking SaaS · Zagreb
Moved fraud scoring onto a real-time feature pipeline; cut false declines by 18%.
2019 - 2020
Data Engineer
Agency · Python, Postgres, AWS
- Python
- FastAPI
- LangGraph
- pgvector
- Evals & tracing
- AWS
- Docker
Technical interview
Assessed by Marco R., Principal Engineer
12 Jun 2026
55 min · live call
"Walked me through an assistant that was quietly hallucinating refund policy, how he caught it in evals, and what he got wrong on the first fix. Hire-ready for a senior seat."
Live coding test
Repair a leaking retrieval pipeline
88
score
Tests passed
21 / 21
Time used
62 of 90 min
Anti-cheat flags
0
retrieval.py · submitted diff
- hits = index.query(q, k=50)+ hits = index.query(rewrite(q), k=50, filter=tenant)+ hits = rerank(hits, q)[:8] # recall 0.62 -> 0.91+ assert_context_budget(hits, max_tokens=6000)
Psychometric · technical thinking
How he reasons under a real deadline - not a personality quiz.
Top 9%of engineers
we test
A 45-minute reasoning test, scored against the 4,000+ engineers we have already placed. Our assessors do the marking - AI only flags where our own scoring looks inconsistent.
Soft skills · working with your team
Spoken English
C1 · assessed on call
References
2 of 2 verified
"He raised the payment edge case nobody else had spotted, in writing, two days before release."
This is what you receive - not a CV.
Ask our AI anythingWhy Cloud Employee?
We vet for shipping, not citations
Research talent and delivery talent are different hires, and ours is the second kind. CTO-led vetting pairs candidates with a senior engineer on live problems, screens for cultural fit, and includes a psychometric assessment we built for software engineers, with a two-week money-back guarantee behind every match.
- Delivery-minded engineers, not paper-first researchers
- Psychometric assessment built for software engineers
- Two-week money-back guarantee plus free replacement
The operation behind the engineer
HR, retention and development handled, with a UK-based client success manager as your contact.
Fully supported
We handle the rest so your engineers can focus on building.
Performance reviews
Payroll & complianceEquipment
WorkspaceIn-house, without the friction
No upfront fees. No lock-in contracts.
- No placement or upfront fees
- Rolling 30-day contract, cancel anytime
- One monthly rate, everything included
Ready to find your engineer?
Tell us exactly who you need.
In 90 seconds
Two matched engineers in 7 days. No fees, no obligation.
What role are you hiring for?
Pick one to start - you'll see matching engineers at the end.
- Founded in 2014
- 97% stay 2+ years
- Replace if it isn't working
Got questions?
The questions CTOs and founders ask.
01How much does it cost to hire a TensorFlow developer in the UK?
Typically 50 to 75% less than a comparable British hire once salary, employer national insurance, pension, recruitment fees and overheads are counted. We do place UK-based machine learning engineers. Most end up with engineers in Eastern Europe, the Philippines or Latin America instead, since quality is equal and cost is not, and Eastern Europe suits a British team well, an hour from London. TensorFlow work in Britain commands machine learning pay, and engineers who have run models in production, not just notebooks, are the scarce, costly part. You pay one monthly fee, nothing for interviewing.
02What is TensorFlow and why do teams choose it?
TensorFlow is Google's open-source machine learning framework, built to take models from training through to deployment at production scale, with Keras as its high-level interface. Teams choose it today for deployment strength more than research fashion, TensorFlow Serving for model APIs, TensorFlow Lite for phones and edge devices, and a mature toolchain for monitoring models. Research momentum has shifted towards PyTorch, so much new work starts there, while an enormous amount of deployed, revenue-carrying machine learning still runs on TensorFlow. If you are maintaining such an estate, that expertise is exactly what you need.
03What skills should I look for in a TensorFlow developer now?
Production judgement above research flair. The TensorFlow developer most teams need can keep a deployed model healthy, retraining pipelines, serving infrastructure, drift monitoring and version migrations across TensorFlow's breaking changes, rather than sketch novel architectures. Look for Keras fluency, an understanding of the deployment path they will own, and enough software engineering to treat pipelines as production code. Edge deployment experience with TensorFlow Lite is a distinct, checkable skill if devices are in your plans. AI assistants help with boilerplate, but are unreliable on version-specific TensorFlow behaviour, so the developer's own depth decides outcomes.
04How do I assess a TensorFlow developer, and what should I ask?
Anchor the assessment in production reality rather than model theory. Ask them to describe a model they kept alive in production, then push into specifics, how retraining was triggered, how they knew quality had degraded, what a version upgrade broke and how they handled it. If edge matters, ask what they sacrificed to make a model fit a device, quantisation stories are good evidence. Have them review a flawed training pipeline, generated code included, and watch what they distrust; assistants write plausible TensorFlow that mishandles versions and data splits.
05Are TensorFlow developers in demand, and is it worth building on?
Demand is real but has changed character, tilting from greenfield research towards operating the deployed TensorFlow systems businesses already depend on, plus mobile and edge work. For a brand-new research-heavy project, much of the field now starts in PyTorch, and an honest adviser says so. For an existing TensorFlow estate, or products shipping models to phones and devices, building on what you have is usually right, and the skills to do it well are getting scarcer, which quietly raises their value. AI-assisted tooling eases routine maintenance, but version-specific depth stays human.
06Do your developers use AI tools, and how do you know the code is sound?
They use them daily, and TensorFlow work illustrates the limits well. Assistants trained on years of tutorials mix TensorFlow 1 and 2 idioms and invent version-specific APIs, so unexamined generated code fails in ways a newcomer cannot diagnose. Our vetting assesses whether candidates use AI tooling well, and the live pair programming session with a senior engineer shows whether they verify generated pipeline code against documentation and data reality. Machine learning adds its own problem, code can run cleanly while the model quietly degrades, so we look for monitoring instincts too.
07How does Cloud Employee vet TensorFlow developers?
Vetting is CTO-led rather than recruiter-driven, which in machine learning filters out the large gap between conference vocabulary and production capability. Candidates complete a technical assessment, then a live pair programming session with a senior engineer, where we probe pipeline engineering, version-migration scar tissue and the monitoring judgement that keeps deployed models trustworthy. A cultural fit screen and our psychometric assessment for software engineers profile reasoning style. You interview matched candidates within 7 working days, and the engineer is embedded in about two weeks. Every match carries a money-back guarantee plus free developer replacement.
08How quickly can a developer start, and how does the engagement work?
You are typically interviewing matched candidates within 7 working days of a requirements call, and developers are often embedded and pushing code within about two weeks. From there it is a rolling monthly contract with 30 days' notice, one monthly fee, and no placement charges. You can scale up or down as the work changes, and you pay nothing to interview.
09What happens if the developer is not the right fit?
There is a two-week money-back guarantee, and if you want to continue we replace the developer free of charge. In practice this rarely comes up, because you interview a shortlist of two candidates who have already passed a CTO-led technical assessment and a live pair programming session, so the fit question is largely settled before anyone starts.
Proof, not promises
Hear from our customers
In their words
What the difference feels like
Alison WhittleProduct Delivery Manager, BladeFSWhat I love about Cloud Employee is that you have taken all of that hard work off my shoulders.
Marcus KilgourCTO, Salmon SoftwareWorking with Cloud Employee developers is great, because they're not afraid to push back. They're proactive, they're positive, and they feel like part of the team.
Doran EskinaziHead of Engineering, HealthpointeWe actually hired the whole team remotely, having never met them. And we made a bunch of really good hires.
Euan CameronCEO, WilloCloud Employee provides a level of professionalism, communication and support we haven't found elsewhere.
Trevor SathorManaging Director, Square EyeWorking in tandem with Cloud Employee we have successfully released a major version of our main software product during a critical period for us.
James StringerManaging Director, CleanLink