Hiring Quantum Talent in the UK 2026

What employers need to know about skills, locations and building quantum engineering teams

The UK quantum market is moving from research towards engineering and commercial deployment.

That shift is changing the talent problem.

Quantum businesses still need exceptional scientists and researchers, but increasingly they also need the people who can turn difficult physics into functioning products: software engineers, systems engineers, electronics specialists, embedded engineers, control engineers, photonics specialists and technical leaders.

Humand's 2026 quantum talent analysis found that the market narrows extremely quickly once employers move from broad quantum terminology to people already operating close to commercial quantum businesses.

A broad search may make quantum talent look plentiful.

A realistic hiring search often does not.

Humand identified a focused population of approximately 1,028 professionals working close to a selected group of quantum companies, before more specialised requirements reduce the pool further.

For employers, the implication is simple: quantum hiring is increasingly a team-design problem, not a keyword-search problem.

Quantum is becoming an engineering market as well as a research market

The UK's quantum ecosystem was built around exceptional academic science.

That remains a competitive advantage.

But commercial quantum businesses cannot scale on physics alone.

Companies increasingly need teams capable of working across:

• software;
• hardware;
• controls;
• electronics;
• photonics;
• systems engineering;
• algorithms;
• scientific computing;
• testing;
• manufacturing;
• product delivery.

The central hiring challenge is therefore changing.

The question is no longer simply where do we find quantum scientists?

It is increasingly how do we build an engineering organisation capable of turning quantum technology into a reliable product?

That is a much broader talent problem.

The market becomes small very quickly

A broad search for people associated with quantum computing produces a large-looking international population.

But broad keyword populations can be misleading.

People may have:

• studied quantum mechanics;
• published academic research;
• worked in adjacent physics;
• mentioned quantum within a project;
• worked in a large organisation with some quantum activity.

That does not automatically make them immediately suitable for a commercial quantum engineering role.

Humand therefore looked at progressively narrower markets.

The focused analysis identified approximately 1,028 professionals working close to selected quantum businesses.

More specialised cuts become smaller still.

The more precisely an employer defines architecture, modality, device technology, software stack or specialist scientific background, the less useful a broad "quantum talent" number becomes.

For hiring teams, this makes role definition critical.

There is no single quantum engineer

Quantum software and platform engineering

Potential areas include:

• Python;
• C++;
• algorithms;
• compilers;
• APIs;
• developer tooling;
• scientific computing;
• simulation;
• cloud/platform engineering;
• DevOps.

The strongest candidate may come from quantum.

But they may also come from scientific software, high-performance computing, developer tools, simulation, numerical computing or advanced platform engineering.

The key question is how much quantum knowledge genuinely needs to exist on day one.

Hardware and control systems

This is one of the fastest-developing hiring areas in Humand's analysis.

Relevant skills include:

• microcontrollers;
• circuit design;
• FPGA;
• Verilog;
• PCB design;
• embedded systems;
• control systems;
• optical fibre;
• electronics;
• test engineering.

These candidates do not necessarily work for businesses with "quantum" in the company name.

Strong adjacent markets include:

• semiconductors;
• photonics;
• embedded electronics;
• defence;
• instrumentation;
• scientific equipment;
• advanced manufacturing.

This is where adjacent-market recruitment becomes particularly powerful.

Systems engineering

Quantum products combine multiple complex technologies.

A systems engineer may need to understand interactions between:

• hardware;
• control electronics;
• optical systems;
• software;
• devices;
• test equipment;
• cryogenic systems;
• mechanical design;
• manufacturing.

The person does not need to be the deepest expert in every domain.

They do need to understand interfaces, trade-offs and failure modes across them.

Research and algorithms

There remains significant demand for people with deep expertise in areas such as:

• quantum information;
• quantum mechanics;
• algorithms;
• error correction;
• mathematical modelling;
• simulation;
• theoretical physics.

But commercial roles often require an additional dimension.

Employers need people able to work with engineering teams and turn research ideas into something usable.

Assessment should therefore explore not only scientific depth but also judgement, communication and pragmatism.

Hardware is becoming a bigger part of the talent battle

One of the most interesting findings in Humand's focused market analysis is the growth of hardware-oriented capabilities.

Within the defined target-company pool, fast-growing skill signals included approximately:

• Microcontrollers41%
• Circuit Design40%
• Integrated Circuits35%
• PCB Design34%
• Digital Circuit Design34%
• Verilog33%
• Optical Fibre33%
• CMOS33%
• VHDL31%

These figures describe skill growth within Humand's defined quantum-employer analysis.

They do not, for example, mean PCB-design demand across the whole UK quantum market increased by exactly 34%.

The useful conclusion is broader: quantum companies increasingly compete for engineers who could equally work in electronics, embedded systems, semiconductors, photonics or advanced hardware businesses.

That makes the relevant talent market significantly wider than the quantum sector itself.

Oxford, Cambridge and London play different roles

The UK has several strong quantum ecosystems rather than one single officially quantified "quantum cluster".

Humand's talent mapping repeatedly identified London, Oxford and Cambridge as significant locations.

Oxford

Oxford combines:

• university science;
• spinouts;
• quantum hardware;
• deep-tech engineering;
• photonics;
• software;
• advanced instrumentation.

That creates specialist depth.

It also creates intense competition for adjacent engineers.

Cambridge

Cambridge combines quantum activity with:

• semiconductors;
• electronics;
• advanced computing;
• AI;
• scientific technology;
• university research.

This makes it an important source of adjacent capability, particularly around hardware and computing.

London

London provides greater overall scale and access to:

• software;
• product;
• cloud;
• finance;
• enterprise technology;
• international talent.

For software-heavy or platform-heavy quantum teams, that broader talent market can be extremely useful.

Employers should therefore build location strategy around the role rather than assuming every quantum hire must come from the same cluster.

Quantum companies should recruit beyond quantum companies

When a role is highly specialised, hiring teams naturally search competitors first.

That is sensible — but rarely enough.

For a hardware-constrained role, consider adjacent markets including:

• semiconductors;
• photonics;
• embedded systems;
• control engineering;
• test and measurement;
• instrumentation.

For software or simulation:

• scientific computing;
• HPC;
• compilers;
• numerical methods;
• platform engineering;
• developer tooling;
• advanced C++ or Python environments.

For systems:

• aerospace;
• defence;
• scientific instrumentation;
• complex hardware;
• robotics;
• advanced manufacturing.

The objective is not to remove the domain requirement.

It is to understand which capabilities genuinely require years of quantum experience and which can come from another technically demanding environment.

Avoid designing roles around mythical candidates

One of the easiest ways to create an impossible quantum search is to combine several disciplines into one vacancy.

A specification may ask for:

• deep quantum physics;
• Python;
• C++;
• embedded development;
• FPGA;
• electronics;
• systems engineering;
• cloud infrastructure;
• leadership;
• product experience.

Each requirement may be individually reasonable.

Together, they may describe almost nobody.

Employers should instead ask:

What does this person need to own? Design the role around outcomes.

Which capability must already exist? Some knowledge takes years to build.

Which capability can the wider team provide? The organisation should not expect one person to compensate for missing team design.

Which knowledge can be learned? Strong engineers regularly cross sector boundaries when the fundamentals transfer.

Quantum hiring is increasingly a team-design exercise.

What should employers assess?

Software candidates

Assess:

• production-quality engineering;
• testing;
• architecture;
• numerical/scientific reasoning where needed;
• ability to work with research users;
• ownership of real systems.

Do not confuse academic Python familiarity with production software engineering.

Hardware candidates

Assess:

• hands-on design;
• build and debug;
• test discipline;
• failure analysis;
• electronics fundamentals;
• systems thinking;
• supplier/manufacturing awareness where relevant.

Research candidates

Assess:

• scientific depth;
• mathematical judgement;
• ability to explain assumptions;
• pragmatic trade-offs;
• ability to collaborate with engineering.

Systems candidates

Assess:

• interfaces;
• requirements;
• risk;
• integration;
• debugging;
• technical communication;
• ability to work across disciplines.

The more interdisciplinary the organisation becomes, the more important communication and judgement become alongside technical depth.

Scarce talent needs a reason to move

Quantum has a strong technical story.

Employers should use it.

The strongest candidates may be comparing the role against opportunities in:

• AI;
• semiconductor engineering;
• defence;
• photonics;
• software;
• research;
• high-growth deep tech.

Compensation matters.

But so do:

• technical ambition;
• credible leadership;
• ownership;
• quality of colleagues;
• access to real hardware;
• commercial progress;
• research freedom;
• career pathway;
• company stability.

A technically fascinating job can still lose candidates if the hiring process is slow, the role is unclear or the package is poorly explained.

What this means for quantum hiring teams

Strong quantum hiring strategies will normally:

1. define whether the role is fundamentally research, software, hardware, systems or product engineering;
2. identify capabilities that genuinely require prior quantum experience;
3. map adjacent industries around the remaining skills;
4. search for capability rather than only quantum job titles;
5. avoid combining several distinct jobs into one impossible specification;
6. engage passive candidates directly;
7. explain the technical mission and commercial direction clearly;
8. assess for real delivery and judgement rather than keyword count;
9. move decisively when strong candidates enter the process.

Quantum hiring will remain specialised.

That does not mean every person in the company needs to come from quantum.

In many cases, the companies that scale most effectively will be those that combine deep quantum expertise with excellent engineers recruited from adjacent technical markets.

Methodology and limitations

This article combines current public UK quantum-policy sources with Humand Talent's 2026 talent-market analysis.

Humand reviewed quantum talent at several levels, from broad international and UK populations through to a focused group of professionals operating close to selected quantum businesses.

The focused market analysis included approximately 1,028 professionals.

Humand also examined specialist sub-markets, location patterns, role families, education backgrounds and skill-growth signals.

The hardware growth percentages quoted above come from this defined focused employer population.

They are Humand market-intelligence indicators, not official UK workforce statistics.

They should be interpreted as signals about how the skills mix inside the analysed commercial quantum market is changing.

Sources

• Department for Science, Innovation and Technology and HM Treasury, UK's "Quantum leap" to help beat disease, deliver high-paid jobs, and strengthen national security (GOV.UK, 17 March 2026) — a programme worth up to £2 billion of government investment. No overall time period is stated for the headline figure.
• Department for Science, Innovation and Technology, National quantum strategy (GOV.UK, 15 March 2023) — the separate ten-year commitment of £2.5 billion from 2024. It is a different programme from the March 2026 announcement and the two figures should not be added together.
• UK Research and Innovation, UK National Quantum Technologies Programme — the UK's long-running quantum technologies research and development programme.
• National Quantum Computing Centre — the UK's national laboratory for quantum computing, funded through UKRI.

Hiring quantum engineers or building a quantum team?

Humand Talent works with deep-tech organisations recruiting specialist software, hardware, systems, scientific and technical leadership talent.

We help employers understand where relevant capability sits, broaden searches intelligently into adjacent technical markets and engage people who may not be actively applying to quantum companies.

Talk to Humand about building your quantum team.

More Humand market intelligence is published in our reports library.