Machine Learning Engineer Salary in Bangalore (2026)

Most Machine Learning Engineer job listings in Bangalore do not show a salary. Across Indian tech hiring, leaving compensation out of the job description is standard practice. Of the 165 ML Engineer openings tracked by knok jobradar in Bangalore as of July 2026, salary disclosure was the exception, not the rule.

This puts the burden on you to arrive at every recruiter conversation with your own benchmark. Glassdoor and levels.fyi carry enough publicly reported data to build a usable picture. Compensation for ML Engineers in Bangalore varies widely by company type (product company vs. IT services firm), specialisation (NLP, computer vision, MLOps), and the scale of systems you own. This guide pulls together what is commonly cited across those variables so you can anchor your expectations before the first call.

Because most listings in the dataset did not disclose pay, the salary ranges below come from Glassdoor, levels.fyi, and industry surveys rather than from job postings directly. Use them as market anchors for your experience band.

Fresher to early career (0-2 years): Glassdoor commonly reports 8-15 LPA for entry-level ML Engineers in Bangalore. Product companies and well-funded startups tend to offer toward the higher end; IT services firms typically land toward the lower end.

Mid-level (3-5 years): Industry surveys commonly cite 18-35 LPA for ML Engineers who have shipped production models and own a pipeline end to end. Roles requiring LLM fine-tuning, MLOps, or real-time inference experience frequently attract offers toward the upper part of this band.

Senior (6-9 years): Levels.fyi commonly reports senior ML Engineer base salaries of 35-70 LPA at top product companies in Bangalore, with the range driven by scope, team size owned, and depth of specialisation.

Staff or Principal (10+ years): At this level, publicly reported compensation packages frequently include ESOPs worth multiples of base salary. Levels.fyi commonly shows base pay of 70 LPA and above for staff-level ML roles at Tier-1 product firms in Bangalore.

Bangalore leads ML hiring in India by a wide margin. The numbers below are from knok jobradar as of July 2026.

Bangalore's lead reflects the density of product companies, AI research teams, and well-funded startups in the city. Delhi (including the wider NCR) is second, driven by enterprise tech, e-commerce firms, and a growing startup ecosystem. Hyderabad is gaining ground as global capability centres ramp up ML hiring. Mumbai, Chennai, and Pune have smaller but active markets worth including in your search if you are open to relocating.

On pay: Glassdoor and levels.fyi commonly show Bangalore and Hyderabad offering comparable base salaries for equivalent ML roles. Mumbai fintech and BFSI ML roles are publicly reported to carry a premium in select cases.

Know your number before the call. Recruiters will often ask for your 'expected CTC' in the first conversation. Have a specific range ready, grounded in Glassdoor and levels.fyi data for your experience band, not anchored to what you currently earn.

Separate fixed from variable and ESOPs. A high fixed offer beats a lower fixed salary bundled with variable pay that depends on metrics outside your control. Get the fixed component confirmed in writing and understand vesting timelines for any stock before you sign.

Use competing offers. If you have an offer from another company, it is your strongest negotiation tool. You do not need to share the exact number, but mentioning that you are in advanced stages elsewhere moves conversations faster and gives HR a clear reason to go back to the hiring manager.

Ask for a joining bonus to cover notice period loss. If you are forfeiting unvested ESOPs or a bonus by leaving your current employer early, ask the new company for a one-time joining bonus to compensate. Most companies have a process for this and it does not affect your CTC structure.

knok checks 150+ job sites nightly, applies to jobs matching your resume, and messages HR for you, so you are never negotiating from desperation with only one offer on the table.

ML Engineers in Bangalore are typically paid through a mix of fixed salary, variable pay, ESOPs or RSUs, and annual bonuses. Understanding each component lets you compare offers accurately instead of comparing headline CTC numbers alone.

Fixed CTC: The guaranteed portion and the most important number to compare across offers. Everything else has conditions attached, so always establish this figure first.

Variable pay: Industry surveys commonly report variable pay at 10-20% of CTC at mid-to-large companies, tied to individual and company performance targets. Ask what percentage of employees actually received the full variable payout in the last completed year before counting it as income.

ESOPs or RSUs: At startups, ESOPs are commonly structured with a 4-year vest and a 1-year cliff. At listed tech companies, RSUs are publicly reported to form a significant share of total comp at senior levels, sometimes matching or exceeding base salary.

Joining bonus: A one-time payment separate from CTC, often offered to compensate for unvested stock or a bonus you forfeit by switching employers. It is negotiable and worth asking for explicitly.

Perks: Health insurance, meal allowances, learning budgets, and remote work flexibility do not appear in CTC but add real value and are worth factoring into any side-by-side comparison.