The 2026-27 financial year opens with Sydney still the most expensive city in Australia to hire AI talent, and the gap is not closing. Demand for engineers who can take large language models into production has outrun supply for a third straight year, the banks and the AI native scaleups are bidding for the same short list of senior people, and compensation has responded exactly the way you would expect. At the same time, the froth of 2024 and 2025 has settled. Employers are pickier, inflated titles get tested hard in interviews, and the premium now attaches to demonstrated production experience rather than to the word AI on a resume.
This guide is Big Wave Digital’s canonical reference for what AI roles actually pay in Sydney, refreshed monthly against live market data. Big Wave Digital has recruited technology talent in Sydney since 2010 and has specialised in AI placements since 2021, including the first 20 AI hires at Leonardo.ai, so the numbers below blend public salary data with what we see on offer letters every week. All figures are in Australian dollars and quoted as base salary excluding superannuation unless we say otherwise. This edition was updated on 3 July 2026 and every range is a snapshot as at that date.
How to read these ranges
Every role below carries three figures. The low range is what to expect early in the role, at a smaller company, or without the hottest skills. The market range is the realistic middle where most Sydney offers land. The high range is the top of the market: well funded AI native companies, quantitative trading firms, big tech and the banks paying up for scarce production experience. Where public sources disagree we give the spread and say so rather than pretending to precision. Salary aggregators lag the market by months and skew toward larger employers, while self reported platforms such as Levels.fyi skew toward earlier career respondents in Australia, so we read the sources together instead of trusting any single number. For context on who is doing the hiring, see our guide to the best AI recruitment agencies in Sydney.
Engineering roles: building and shipping AI
Machine Learning Engineer
Machine learning engineering remains the anchor role of the Sydney market and the one with the deepest public data. Indeed puts the Sydney average at $148,464 across 44 reported salaries, Glassdoor lands almost exactly on the same point at $148,000 with a typical spread of $115,500 to $190,000, and SEEK job ad data surfaced through Jora averages $155,000. Three independent sources agreeing that closely is rare, which gives us real confidence in the mid market picture.
A junior machine learning engineer with up to two years of experience sits low at $95,000 to $110,000, market at $110,000 to $130,000, and high at $130,000 to $145,000 where a well funded product company wants raw talent it can grow. Mid level engineers with three to five years sit low at $125,000 to $140,000, market at $140,000 to $160,000, and high at $160,000 to $185,000. Senior engineers run low at $155,000 to $170,000, market at $170,000 to $195,000, and high at $195,000 to $230,000. Staff and principal engineers are thinner in the public data, but our placement work puts low at around $200,000, market at $210,000 to $240,000, and high at $250,000 to $280,000 and beyond, with quantitative trading firms openly advertising $200,000 to $500,000 on SEEK for exceptional ML developers. What moves a candidate between bands is production evidence: models that shipped, stayed up and moved a business metric, plus depth in one hard area such as recommender systems, forecasting or LLM serving.
AI Engineer
AI engineer is the fastest growing title in Sydney job ads and the loosest defined, covering everything from LLM application builders to rebadged software engineers. Glassdoor puts the national average at $134,000 with a typical band of $96,750 to $161,250, while the Levels.fyi Sydney median of $113,389 reflects a small, early career respondent pool, so the sources genuinely vary here and we say so. In practice a Sydney AI engineer sits low at $110,000 to $130,000, market at $130,000 to $165,000, and high at $165,000 to $200,000 or more once the role involves owning production LLM systems. Moving up the bands is mostly about shipping: candidates who can show a working AI product in production, with real users and real cost management, clear the market band quickly.
LLM and GenAI Engineer
Engineers who specialise in large language models, retrieval augmented generation and agentic systems carry the clearest premium in the Sydney market, which we read at roughly 15 to 25 per cent over standard machine learning pay. Public aggregators have not yet broken this title out cleanly, so these bands rest on advertised ranges and our own placements rather than on a single quotable average. Expect low at $130,000 to $155,000, market at $155,000 to $200,000, and high at $220,000 to $280,000 at AI native companies where the LLM stack is the product. Fine tuning experience, evaluation discipline and a record of controlling inference costs are what push candidates into the top band, and equity is a standard part of the conversation at this level.
MLOps Engineer
MLOps sits where the market’s money is moving: the closer someone works to live model infrastructure, the more they command. The aggregators mostly fold MLOps into machine learning engineering, so treat these bands as our reading of advertised roles plus placement data. Low runs $115,000 to $135,000, market $135,000 to $165,000, and high $170,000 to $200,000 and beyond for engineers who can deploy, monitor and retrain models in production without hand holding. LLM deployment experience moves an MLOps candidate up a band on its own, because so few people in Sydney have done it at scale.
AI Platform Engineer
Platform engineers who build the shared tooling, GPU infrastructure and serving layers that other AI teams stand on are scarce and getting scarcer. Low sits at $130,000 to $145,000, market at $145,000 to $175,000, and high at $180,000 to $210,000, typically inside banks, big tech and the larger scaleups that run central AI platform teams. Kubernetes depth, cost engineering and experience running GPU fleets are the differentiators that move candidates between bands.
Data Engineer
SEEK career advice puts the average Sydney data engineer at $130,000 to $135,000, and that matches what we see in offers. Low sits at $110,000 to $125,000, market at $125,000 to $150,000, and high at $155,000 to $185,000 for senior and principal engineers who can design enterprise scale platforms. Data engineers attached to AI programs earn toward the top of each band, because feature pipelines and retrieval infrastructure now sit on the critical path of most Sydney AI projects.
Analytics Engineer
The analytics engineer sits between data engineering and analysis, owning transformation layers and semantic models. Public Sydney data is thin for this title, so these are our bands from advertised roles: low $100,000 to $115,000, market $115,000 to $140,000, and high $140,000 to $165,000. Strong dbt style modelling plus genuine stakeholder skills move candidates up, and demand is steady rather than spiking.
Data science and research roles
Data Scientist
Sydney remains the strongest data scientist market in the country. SEEK career advice puts the average around $130,000 to $135,000. A mid level data scientist sits low at $110,000 to $120,000, market at $120,000 to $145,000, and high at $145,000 to $160,000. Senior data scientists sit low at $150,000 to $160,000, market at $160,000 to $185,000, and high at $190,000 to $235,000, a top figure consistent with the Levels.fyi Sydney senior range of $164,605 to $234,830. Seniority here is less about years served and more about a record of shipping analysis and models that held up in production, and generative AI exposure now moves data scientists up a band the same way deep learning did five years ago.
Applied Scientist
Applied scientist is still mostly a big tech title in Sydney, and it pays like one. Public local data is sparse, so these bands lean on our placements and the handful of advertised roles: low $140,000 to $160,000, market $160,000 to $200,000, and high $200,000 to $260,000 with equity on top at the global players. A publication record matters less than the ability to turn research into product, which is exactly what separates this role from a research scientist.
AI Research Scientist
Research scientist pay in Sydney has the widest spread of any role in this guide. Glassdoor reports a national average of $167,500 but a typical range of $107,500 to $236,875 from a very small sample, so treat any single number with caution. University and CSIRO adjacent roles anchor the low band at $110,000 to $140,000, market for industry research sits at $140,000 to $175,000, and high runs $200,000 to $240,000 at AI native companies and global labs hiring in Sydney. Moving up means demonstrated novel work that shipped, not citation counts alone.
Computer Vision Engineer
Indeed puts the average Sydney computer vision engineer at $113,556, a figure that skews toward mid level roles in a smaller sample. Low sits at $100,000 to $115,000, market at $115,000 to $150,000, and high at $155,000 to $185,000 in defence, mining automation, medical imaging and robotics, the sectors that pay best for vision work here. Edge deployment experience is the strongest single lever for moving up a band.
NLP Engineer
Classical NLP has largely merged into LLM work, but dedicated NLP roles persist in legal tech, government and healthcare. Low runs $115,000 to $130,000, market $130,000 to $165,000, and high $170,000 to $200,000 where the role blends NLP depth with modern LLM tooling. Candidates who can bridge both worlds, traditional pipelines and transformer era methods, command the premium.
Prompt Engineer
Standalone prompt engineering roles are fading in Sydney as the skill folds into AI engineering and product roles, and the sources genuinely disagree on what remains. Advertised ranges on Glassdoor job listings run roughly $120,000 to $169,000, while broader national averages sit below $100,000. We read the Sydney reality as low $85,000 to $100,000, market $100,000 to $130,000, and high $130,000 to $170,000 where the title really means LLM application engineer. Candidates are better served packaging prompt skill inside an engineering or product role than chasing the standalone title.
Leadership and specialist roles
AI Product Manager
Glassdoor puts the national AI product manager average at $183,000 with a typical band of $158,000 to $209,500, and Sydney pays at or above that line. Low sits at $130,000 to $150,000 for a first AI product role, market at $150,000 to $185,000, and high at $200,000 to $250,000 for senior AI PMs in financial services and at well funded scaleups. Moving up means owning a live AI product with real commercial numbers behind it, not managing a roadmap of experiments. Bonuses of 10 to 20 per cent of base are standard in the top band.
AI Engineering Manager
SEEK career advice puts the average Sydney engineering manager at $195,000 and Glassdoor reads the same market around $200,000, and managers of AI teams sit above the general line. Low runs $175,000 to $190,000, market $190,000 to $225,000, and high $230,000 to $270,000 where the manager owns both delivery and the ML technical bar. The premium follows people who have run teams shipping models to production, because plenty of managers can run sprints and few can review a model card.
Head of AI and Director of AI
Public data barely exists for AI leadership in Sydney, so these bands come from our searches and offers we have seen negotiated. A head of AI reporting into a CTO or CDO sits low at $210,000 to $230,000, market at $230,000 to $290,000, and high at $300,000 to $350,000, with the top figures usually quoted as total package including superannuation and bonus. What moves the number is scope: a head of AI who owns P and L outcomes and a multi team function earns like an executive, one who leads a squad earns like a principal engineer with a title.
Chief AI Officer
The chief AI officer is still rare in Australia and almost every appointment is individually negotiated, so we present this honestly as an estimate rather than a sourced range. Packages we see discussed run from roughly $350,000 to $500,000 and above in total, weighted heavily toward bonus and long term incentives. Most Sydney organisations still park this accountability with a CTO or chief data officer, which keeps the standalone title scarce.
AI Governance and Ethics specialists
Regulation is pulling this role into the mainstream, led by financial services and government. Public salary data is thin, so treat these as our bands from advertised roles: low $120,000 to $140,000, market $140,000 to $180,000, and high $180,000 to $220,000 for leaders who can stand up an AI risk framework a regulator will accept. Candidates who pair policy fluency with enough technical depth to interrogate a model move up fastest, because that combination is genuinely rare.
AI Solutions Architect
SEEK career advice puts the average Sydney solutions architect at $178,000, while Payscale reads lower at $157,325, a lag we would expect from its survey base, so the sources vary and the truth for AI focused architects sits toward the top. Low runs $150,000 to $165,000, market $165,000 to $200,000, and high $205,000 to $235,000 for architects who can design LLM and data platforms across an enterprise. Vendor depth in AWS, Azure or GCP AI stacks plus a delivery record is what separates the bands.
AI Consultant and Forward Deployed Engineer
Consultancies and AI product companies are both hiring engineers who embed with customers and make the product work in the field. Low sits at $125,000 to $145,000, market at $145,000 to $185,000, and high at $190,000 to $230,000 at the AI native companies that treat forward deployed engineering as a revenue role, usually with meaningful bonus or commission on top. Client presence moves candidates up as much as code does. If you are building a team like this, our guide to hiring AI engineers in Sydney covers the playbook.
Contract day rates
The Sydney AI contract market is busy, driven by enterprises that want LLM capability now and cannot hire it permanently fast enough. Public rate data is patchier than salary data, so these figures are our desk’s reading of the current market rather than a quotable aggregate, and they move month to month. Experienced machine learning and data engineers are currently contracting at $950 to $1,400 a day. Senior LLM specialists and MLOps contractors who can own production systems sit at $1,200 to $1,600. AI architects and consultants with enterprise scars run $1,400 to $2,000 and beyond for short engagements. Remember what a day rate carries: no superannuation, no paid leave, no bonus, insurance and tax overheads, and gaps between contracts, so a $1,200 day is not a $290,000 salary no matter what the annualised arithmetic says.
Equity and bonuses: the growing top up
Base salary is no longer the whole conversation in Sydney AI hiring. Scaleups that cannot outbid a bank on base are closing the gap with equity, and the local plumbing for that has matured. Carta’s Australian ESOP data shows founders in Australia and New Zealand reserving a median of 12.6 per cent of fully diluted equity for employees, and startup employees in the region exercised their vested options at 51.8 per cent in 2024, well above the 32.2 per cent rate in the United States, a sign local employees increasingly treat options as real money. Earlier stage companies grant options, later stage scaleups increasingly grant restricted stock units, and at the AI native companies a senior engineer’s equity can add 30 to 60 per cent on top of base in expected value, more when things go well.
Cash bonuses are climbing too. Sign on bonuses of $10,000 to $30,000 are now common for senior AI talent, typically used to paper over a candidate’s unvested equity or a notice period. Performance bonuses run 10 to 20 per cent of base in financial services and are rarer at startups, which prefer equity. Candidates weighing an equity heavy offer should ask four questions before signing: how many fully diluted shares are outstanding, what was the strike or the latest valuation, what is the vesting schedule and cliff, and what happens to unvested and vested equity on exit or termination. A company that answers those quickly is usually a company whose equity is worth having.
What changed this month
This July 2026 edition is the first release of the guide, so it sets the baseline rather than reporting movement. The clearest tensions in the data this month: mid level machine learning engineer sources agree tightly around $148,000 to $155,000, LLM specialist pay continues to run 15 to 25 per cent above standard ML pay, and contract rates for production capable ML engineers are holding above $950 a day. From the August edition onward this section will track genuine month on month movements in the ranges above.
Frequently asked questions
What is the highest paid AI role in Sydney?
Chief AI officer is the highest paid AI role in Sydney, with total packages of roughly $350,000 to $500,000 and above, followed by head of AI roles at $230,000 to $350,000. Among hands on roles, staff and principal machine learning engineers earn the most, with the top of market reaching $250,000 to $280,000 and quantitative trading firms advertising up to $500,000.
How much does a machine learning engineer earn in Sydney?
A mid level machine learning engineer in Sydney earns around $140,000 to $160,000 base plus superannuation, with Indeed reporting an average of $148,464 and SEEK ad data around $155,000. Seniors typically earn $170,000 to $195,000, and staff or principal engineers $210,000 to $240,000 or more.
Should I expect equity in a Sydney AI job offer?
At startups and scaleups, yes. Australian founders reserve a median of 12.6 per cent of equity for employees, and options or RSUs are standard in AI native company offers, often adding 30 to 60 per cent on top of base in expected value at senior levels. Banks and enterprises usually offer cash bonuses instead.
What do AI contractors charge per day in Sydney?
Experienced machine learning and data engineers currently contract at $950 to $1,400 a day in Sydney. Senior LLM and MLOps specialists sit at $1,200 to $1,600, and AI architects at $1,400 to $2,000 and above. Day rates carry no superannuation, leave or job security, so they are not directly comparable to salaries.
How do I negotiate an AI salary in Sydney?
Anchor on evidence of production impact rather than years of experience, get competing conversations running in parallel, and negotiate the whole package: base, superannuation, bonus, equity and sign on. Sign on bonuses of $10,000 to $30,000 are common for senior candidates, and asking for one is now unremarkable.
Are these figures base salary or total package?
Ranges in this guide are base salary excluding superannuation unless stated otherwise. Executive figures such as head of AI and chief AI officer are noted as total package where that is how the market quotes them. Superannuation adds 12 per cent on top of base in 2026.
Sources
Salary figures in this guide draw on Indeed machine learning engineer salaries for Sydney, Indeed computer vision engineer salaries for Sydney, Glassdoor Sydney machine learning engineer data, Glassdoor AI engineer data, Glassdoor AI researcher data, Glassdoor AI product manager data, Glassdoor Sydney engineering manager data, Jora SEEK ad salary data, SEEK data scientist salary guidance, SEEK data engineer salary guidance, SEEK solutions architect salary guidance, SEEK engineering manager salary guidance, Levels.fyi Sydney AI engineer data, Levels.fyi Sydney senior data scientist data, Payscale Sydney solutions architect data and Carta’s Australian ESOP research, supplemented by Big Wave Digital placement data. Where a range is our own market reading rather than an aggregated figure, the text says so.
Hiring or moving in the Sydney AI market
Big Wave Digital has been placing technology talent in Sydney since 2010 and AI talent since 2021, with an 89 per cent repeat client rate and placements including the first 20 AI hires at Leonardo.ai. If you are benchmarking a role, planning a team or weighing an offer, our AI recruitment practice works both sides of this market every day. The fastest way to a straight answer on any number in this guide is to talk to us.
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