Hire Python developers · UK

Hire Python Developers in the UK

Put Python to work on Django and FastAPI back ends, back-office automation and AI features — written so other people can maintain it.

  • Senior engineers who ship production code
  • Hourly, dedicated or managed delivery
  • You interview before anyone starts

Python expertise

Python expertise our developers bring.

Python covers more ground than most languages, so we match developers to the Python you actually need: web back ends, data work, automation or AI.

Django for products and back offices

Django and Django REST Framework for data-heavy products, with the built-in admin giving your team a working back office from the first sprint.

FastAPI for lean, typed APIs

Async FastAPI services with Pydantic models and generated OpenAPI docs — a good fit in front of AI models and as an integration layer.

Pipelines and ETL jobs

Extract, clean and load jobs with pandas or Polars and SQL, scheduled and monitored, with checks that stop bad data before it reaches a report.

LLM calls in Python code

OpenAI, Claude and Gemini SDKs, structured outputs validated with Pydantic, embeddings and vector search, and test sets that catch regressions.

Testing and typing

pytest with fixtures and factories, type hints checked by mypy or Pyright, Pydantic at the boundaries and Ruff for linting and formatting.

Upgrades and packaging

Code moved off end-of-life Python versions, dependencies pinned with uv or Poetry, and a folder of scripts turned into an installable package.

What they build

What Python developers can build for you.

Much of the Python work UK businesses bring us replaces a manual step someone repeats every week in a spreadsheet.

Finance teams

Reconciliation and reporting

Jobs that pull from Xero, bank feeds and Stripe, match transactions, flag exceptions and build the month-end pack without copy and paste.

Admin-heavy teams

Spreadsheet and file automation

Supplier price lists, timesheets and stock files picked up from shared mailboxes or folders, validated, merged and loaded into your systems overnight.

SaaS and platforms

Django and FastAPI back ends

APIs, admin tools, permissions and Celery background jobs for products where the data model is the hard part.

Teams with messy text data

LLM steps inside pipelines

Classification, summaries and field extraction by an LLM as one step of a Python job, with outputs validated by Pydantic and sampled for human review.

Analysts

Analyst scripts made dependable

Reports that live in a Jupyter notebook or on one laptop turned into tested, scheduled jobs, so the numbers refresh without anyone re-running cells.

Onboarding and compliance

Company and sanctions checks

Companies House lookups for officers and filings, and screening against the UK sanctions list, built into onboarding with every check logged.

Technology stack

Technology stack.

The tools that usually sit around Python in the projects we join. We fit into your stack — this is where we are most at home.

Web frameworks

DjangoDjango REST FrameworkFastAPIFlask (existing apps)

Data work

PostgreSQLpandas and PolarsSQLAlchemyJupyter

AI and machine learning

OpenAI, Claude and Gemini SDKspgvectorPyTorchTensorFlow

Jobs and automation

Celery and RedisScheduled jobsAWS LambdaPlaywright for browser tasks

Code quality

pytestmypy or PyrightRuffuv or Poetry

Running in production

DockerAWSGunicorn and UvicornGitHub Actions

Developer seniority

The right level for the work.

Every engagement is staffed with senior engineers. What changes is how much architecture and leadership the work needs around them.

Most engagements

Senior Python developer

Takes features from ticket to reviewed, tested, deployed code without hand-holding. The right choice for most roadmap work.

New builds and rescues

Lead engineer or architect

Sets the Python architecture, reviews the team's code and plans migrations, upgrades and scaling work.

Multi-discipline scopes

A small blended pod

A Python developer with backend, QA or design support, coordinated by one delivery owner for larger scopes.

Engagement models

Ways to hire Python developers.

Pay by the hour for bursts of work, reserve a dedicated developer for your roadmap, or hand us the whole project.

Hourly Python developer

From £23 per hour

Backlog work, fixes, integrations, and flexible sprint support

  • Weekly billing, daily written updates, code review, and no long-term lock-in.

Managed Python project

Fixed quote

MVPs, rebuilds, dashboards, SaaS platforms, and business-critical launches

  • Discovery, architecture, development, QA, deployment, and post-launch support.

Prices are in GBP. Every estimate is confirmed in writing after a discovery call — the figures above are where engagements start, not a quote.

How hiring works

From brief to first commit.

The goal is not just to introduce a Python developer — it is to make the first week useful and the work visible from then on.

  1. 01

    Discovery and fit check

    We review your Python goals, current stack, deadlines, risks, and success metrics before suggesting an engagement model.

    Role and success criteria agreed

  2. 02

    Shortlist in 24 hours

    You get a clear Python developer profile, relevant experience, availability, and estimated weekly capacity.

    Developer profiles to review

  3. 03

    Kick-off within days

    We agree priorities, access, communication rhythm, delivery milestones, and code review expectations. Most engagements start within 5–7 working days of sign-off.

    Access, rituals and first tickets

  4. 04

    Ship with weekly demos

    Every week you see working Python progress, blockers, next steps, and measurable delivery against the plan.

    Visible progress every week

Why Techsleight

Why hire through Techsleight.

What you can hold us to — and what happens if something is not working.

You choose who joins

You see profiles and talk to the Python developer before anything starts, and nobody joins your team without your say-so.

Senior, production engineers

People who have shipped and supported real products — reviewed for code quality, testing habits and communication, not just a CV.

They work your way

Your repositories, tickets, stand-ups and review rules. Daily written updates and a weekly demo keep the work visible.

No lock-in

Hourly, dedicated or project-based, with short notice periods. Scale up for a launch and back down after it.

You own the code

Code, IP and documentation belong to you from day one. NDA before any detailed conversation, if you need one.

UK-focused delivery

UK business hours, GBP pricing and a contract with a UK company. Our engineers are based in the UK and India.

A whole team behind one hire

Backend, QA, DevOps and design colleagues are there when the Python work needs them — without you hiring for each role.

Relevant work

Python projects from our case studies.

Client work where Python was part of the stack. Each case study covers the brief, the approach and the result.

All case studies

FAQs

Questions we get asked.

Straight answers on scope, cost, timelines and how we work. If yours is not here, ask us directly.

Ask us a question

Is Django or FastAPI the better choice for us?

Django when you want a full framework: ORM, migrations, authentication and an admin site your team can use from week one — a strong fit for data-heavy products and internal tools. FastAPI when you need a lean, async API, for example in front of AI models or as an integration layer. We also maintain existing Flask apps.

Can you automate a process we currently run in spreadsheets?

Usually, yes. We follow the process end to end first — where the data comes from, who checks what, what goes wrong — then automate the predictable parts and leave people in charge of the exceptions. The result is a scheduled job with logs and alerts, not a script on someone’s laptop, and any personal data involved is mapped against your UK GDPR records.

Can your Python developers add AI features to our product?

Yes. Most AI tooling is Python-first, so this is common work for our Python developers: retrieval over your documents, extraction from forms and emails, and assistants that call your APIs, each with a test set and guardrails. For larger AI programmes, specialist AI and machine learning engineers can join the team.

Can you bring an old Python codebase up to date?

Yes, and it is worth planning now: Python 3.9 and earlier no longer receive security fixes, and every later version has a published end-of-life date. We write tests that record how the code behaves now, upgrade the interpreter and dependencies in steps, add type hints to the code we touch and set up CI so every change is checked.

How much does it cost to hire a Python developer in the United Kingdom?

Python developer rates at Techsleight Labs start from £23/hour for flexible work and from £3,300/month for dedicated monthly capacity. Fixed-price Python projects are quoted after discovery, once scope, integrations, risks, and timeline are clear.

How quickly can a Python developer start?

Most Python engagements start within 5–7 working days of sign-off, and urgent work can sometimes start within 48–72 hours. For larger projects, we first confirm scope, architecture, milestones, and the right senior engineer fit before kickoff. We support UK teams with written updates, planned demos, and timezone-aware handover.

Can I hire one Python developer or a full team?

Yes. You can hire a single Python developer, add a small pod with QA and DevOps, or ask us to manage the complete project. We match the model to your current team, delivery pressure, and budget.

Are your Python developers senior?

Yes. Our hiring pages are built around senior production engineers, not junior bench resources. Every developer is reviewed for commercial project experience, communication quality, code quality, testing habits, and ability to work inside existing teams.

Do you work with existing Python codebases?

Yes. We often join existing Python projects to fix performance, unblock releases, add features, improve test coverage, or modernise architecture. We start with a codebase review so the first sprint is practical rather than theoretical.

What happens if the Python developer is not the right fit?

Tell us early. We will look at the cause with you — the brief, the onboarding or the match — and agree the next step together, such as more technical oversight, a different engagement model, or ending the engagement on the notice terms in your contract. The goal is a useful working relationship, not lock-in.

Hire developers

Ready to hire Python developers?

Tell us about the role — the codebase, the work and when you need someone. We will reply within one working day with next steps and suitable profiles.

  1. 1A senior engineer reads your brief within one working day, and replies with questions or a first view.
  2. 2A 30-minute call to understand the goal, constraints and what good looks like — no sales script.
  3. 3A written proposal with scope, milestones, team and a GBP estimate you can take to your board.

Techsleight Labs is a trading name of Krapton IT Consultancy.

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