AI/MLFixed-Price or MonthlyAvailable Now

Hire a Senior AI/ML Developer

There is a wide gap between a demo that works once in a notebook and an AI feature your users can rely on every day. Our AI/ML developers close that gap. They integrate LLMs from OpenAI, Anthropic, and open-weight models, build retrieval pipelines that ground answers in your own data, fine-tune and quantize models that are too expensive to run raw, and ship computer vision and predictive systems with evaluation, monitoring, and cost controls in place. This is production AI engineering with 3+ years of commercial experience behind it, not prompt-tinkering and not generic data analytics.

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Senior developers, 3+ years
ISO 9001:2015 certified
100% code ownership, yours
Daily communication
No long-term lock-in
Delivered worldwide since 2018

What an AI/ML Developer Builds for You

LLM features wired to OpenAI, Anthropic Claude, or open models (Llama, Mistral) with streaming, tool/function calling, and token-cost guardrails

RAG pipelines over your documents using vector stores (Pinecone, Weaviate, pgvector, Qdrant) with chunking, reranking, and hallucination evaluation

Fine-tuned and instruction-tuned models with LoRA/QLoRA, plus quantization and serving on vLLM or Hugging Face TGI to cut inference cost

Computer vision systems for detection, classification, OCR, and segmentation with PyTorch, YOLO, and Detectron2

Predictive and forecasting models (churn, demand, fraud, recommendations) trained, validated, and exposed behind a FastAPI inference endpoint

MLOps pipelines with MLflow, experiment tracking, model registry, drift monitoring, and automated retraining on Docker and Kubernetes

Tools & stack

PyTorchHugging Face TransformersOpenAI / Anthropic APIsLangChain / LlamaIndexVector DBs (Pinecone, pgvector, Qdrant)scikit-learnMLflowvLLM / FastAPI

When to Hire an AI/ML Developer

Hire an AI/ML developer when the model itself is the hard part: LLM integration, retrieval over your own data, fine-tuning, computer vision, or a predictive model that has to be trained, evaluated, and kept honest in production. If you mainly need general backend services, scraping, ETL, or Django/FastAPI app plumbing, a Python developer is the better and cheaper fit, and the two roles pair well. If your need is dashboards and SQL reporting on existing data, that is a data analyst, not ML. And if you want a feature shipped end to end with UI and API around the model, pair this role with a full-stack developer. Choose the AI/ML developer specifically when accuracy, grounding, model cost, and evaluation are what make or break the project.

Our experience

Hire them for retrieval pipelines over private knowledge bases, LoRA fine-tunes that adapt an open model to a domain vocabulary, computer vision, or predictive models served behind versioned APIs. Our shipped AI work to date is the machine-learning side: we built and shipped the AI treatment-tracking service, which analyses patient dental photos, inside Tooth Fairy, the UK's first health-regulated dental platform, and it is still running. Evaluation is treated as first-class, with golden datasets and offline eval harnesses before a model is called ready, and cost-per-request, latency and drift watched after launch. As an ISO 9001-certified software development company founded in 2018, every model ships with reproducible training code, tracked experiments (MLflow), Dockerised serving, and documentation your own team can pick up later.

Two Ways to Engage

Hire AI/ML Your Way

Fixed-Price Project

A defined scope, quoted and agreed up front. We deliver on time for a price that does not move.

One-off builds
Defined feature work
MVPs and launches

Most Flexible

Dedicated Monthly Developer

A developer embedded in your team full-time or part-time, working your backlog every day.

Ongoing development
Team extension
Long-term products

What Happens After You Say Yes

A predictable process from first call to launch day, and beyond.

Free Discovery Call

No commitment

30 minutes to understand your goals, budget, and timeline. No pitch. No pressure. No commitment.

Fixed-Price Proposal in 48h

No surprises

Written proposal with exact scope, fixed price, tech stack, and milestone timeline. No vague estimates.

Design First, You Approve

You stay in control

Wireframes and mockups delivered before any code is written. Your sign-off before we build.

Development with Full Visibility

No black box

Fortnightly updates and a staging URL from Week 2. You watch your product being built in real time.

Test, Approve & Launch

Your decision

Full cross-device testing. We go live only when you say yes.

30-Day Free Support

Peace of mind

Any bugs or adjustments within 30 days fixed at no extra cost. Ongoing maintenance packages available.

The first call is free, no commitment needed.

Book a Free Discovery Call

Hiring an AI/ML Developer: FAQs

Do you build RAG over our private documents, or just call the OpenAI API?

We build full retrieval-augmented generation. That means ingesting and chunking your documents, embedding them into a vector store such as Pinecone, Qdrant, or pgvector, adding reranking, and grounding the LLM's answers in retrieved context with citations. We also set up evaluation to measure retrieval quality and catch hallucinations before you ship.

Can you fine-tune an open-source model instead of paying per-token API costs?

Yes. When volume or privacy justifies it, we fine-tune open-weight models like Llama or Mistral using LoRA or QLoRA, quantize them, and serve them on vLLM or Hugging Face TGI on your own infrastructure. We will benchmark the trade-off in quality, latency, and cost against a hosted API first so the decision is based on numbers, not hype.

How do you handle deployment, monitoring, and model drift after launch?

We containerise inference with Docker, expose it through a FastAPI endpoint, and track experiments and model versions in MLflow. In production we monitor latency, cost-per-request, and input and prediction drift, with alerting and an automated retraining path so accuracy does not silently decay over time.

Fixed-price project or dedicated monthly developer: which should I choose?

Choose fixed-price when the scope is defined and you want a guaranteed price and date. Choose a dedicated monthly developer when the work is ongoing or evolving and you want someone embedded in your team day to day. Not sure? We will recommend the right fit on a free call.

Is there a trial period for a dedicated developer?

Yes. Dedicated engagements start with a one-month trial. You can scale up, scale down, or stop with two weeks notice. There is no long-term lock-in.

What time zones and countries do you work with?

We work worldwide from India with daily communication on Slack, WhatsApp, or email. Our Mon-Fri 9:00 AM-6:30 PM IST hours overlap the London workday into early afternoon and the start of the New York morning, with daily written updates covering the rest. We deliver for clients across the UK, US, UAE, Australia, and India.

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Prefer a fully managed build? See AI & ML Solutions or Generative AI Development →