Automate Your AI Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

If you’re searching for AI jobs in 2025, you’re juggling dozens of tabs, scrolling endless feeds, & rewriting your CV for every application. It’s noisy, repetitive, & easy to miss the best roles. The fix is simple: build a lightweight automation stack that brings relevant roles to you, then use ChatGPT to triage, shortlist, & tailor applications in minutes.

This guide shows you exactly how to do it. You’ll get copy-paste prompts, shareable Boolean strings, & practical workflows using Google Alerts, RSS, job boards, & ChatGPT. Set this up once & you’ll save hours every week—without losing quality or control.

What You’ll Have Working In 30 Minutes

• A focused keyword map for your target roles (AI, ML, Data, MLOps, LLM, NLP, Computer Vision, GenAI, etc.).

• Smart search strings you can paste into Google or job boards to filter the noise.

• Always-on alerts & RSS feeds that deliver new roles to your inbox or reader.

• A reusable ChatGPT “Job Scout” prompt that deduplicates jobs, ranks them to your criteria, & outputs a neat shortlist with actions.

• A simple pipeline tracker so nothing slips through the cracks.

Step 1: Define Your Target Roles & Keyword Map

Before you automate, lock down the language of the roles you want. Recruiters use varied titles; your automation should catch them all.

Role families (mix & match):

• Core AI/ML: AI Engineer, Machine Learning Engineer, Data Scientist, Research Scientist, Applied Scientist, AI Researcher.

• GenAI & LLM: Generative AI Engineer, LLM Engineer, Prompt Engineer, Conversational AI, NLP Engineer.

• Platform & Ops: MLOps Engineer, ML Platform Engineer, AI Infra, AI Reliability, Data Engineer (ML focus).

• Vision & Speech: Computer Vision Engineer, Perception Engineer, Speech Recognition, Audio ML.

• Leadership: Head of AI, Director of Machine Learning, Principal ML Engineer, Lead Data Scientist.

• Graduate & Early Career: Graduate AI, Junior ML, Entry-level ML, Industrial Placement, Internship.

Skill & tech keywords (add your stack):

• Python, PyTorch, TensorFlow, JAX, scikit-learn, Hugging Face, Transformers, RAG, vector databases, LangChain, OpenAI, OpenVINO, CUDA, ONNX, MLOps, MLflow, Kubeflow, Airflow, Databricks, Snowflake, AWS/GCP/Azure, Docker, Kubernetes, CI/CD, monitoring, experiment tracking.

UK context & work preferences:

• “United Kingdom”, “UK”, “London”, “Manchester”, “Bristol”, “Cambridge”, “Oxford”, “Edinburgh”, “Birmingham”, “Leeds”, “Belfast”.

• “Remote UK”, “Hybrid”, “Visa sponsorship”, “Security clearance”, “Graduate scheme”.

Salary filters (optional):

• “£60,000+”, “£80k”, “£100,000”, “six-figure”, “OTE”.

Create your keyword clusters (primary titles + synonyms + tech stack + location). You’ll reuse them in searches & alerts.

Step 2: Build Precise Boolean Searches (Copy & Paste)

Boolean strings help you surface relevant roles quickly—on Google, job boards, & company career sites. Start with Google to cast a wide net, then refine per site.

General Google string (edit for your target):

("AI Engineer" OR "Machine Learning Engineer" OR "LLM Engineer" OR "Data Scientist")
("Generative AI" OR "LLM" OR "NLP" OR "Computer Vision" OR "MLOps")
(Python OR PyTorch OR TensorFlow OR "Hugging Face")
("Remote UK" OR London OR Manchester OR Cambridge OR Bristol)
("Full-time" OR Permanent) ("£" OR "GBP")
-site:reddit.com -site:glassdoor.co.uk

Targeting UK job boards & ATS platforms:

("AI Engineer" OR "LLM Engineer" OR "Machine Learning Engineer")
(site:boards.greenhouse.io OR site:lever.co OR site:workable.com OR site:ashbyhq.com OR site:jobs.eu.lever.co)
(UK OR "Remote UK" OR London OR Cambridge)
("Python" OR "PyTorch" OR "Transformers")

Graduate & early-career focus:

("Graduate" OR "Junior" OR "Entry-level") (AI OR "Machine Learning" OR "Data Science")
(UK OR "Remote UK" OR London OR Manchester)
("Python" OR "ML")

In-house research teams:

("Research Scientist" OR "Applied Scientist") ("Machine Learning" OR "NLP" OR "Computer Vision")
(site:boards.greenhouse.io OR site:lever.co OR site:careers.microsoft.com OR site:google.com)
(UK OR "Remote UK")

Visa sponsorship filter (optional):

("Machine Learning Engineer" OR "AI Engineer") (UK) ("visa sponsorship" OR "Skilled Worker visa")

Tip: Start broad, note which domains return gold for you, then add site: filters to go deeper (e.g., your favourite employers or sectors).

Step 3: Turn Searches Into Google Alerts & RSS

Google Alerts lets you save your best queries & get notified the moment new pages appear. If you prefer an RSS reader (Feedly, Inoreader, etc.), you can send alerts to an RSS feed & read all roles in one place.

How to set up (quick):

1. Go to Google Alerts.

2. Paste one of your Boolean strings into the alert box.

3. Click Show options: choose As-it-happens or At most once a day (daily is ideal).

4. Deliver to: choose RSS feed (then copy the feed URL) or your email.

5. Create separate alerts per cluster: e.g., LLM Engineer UK, Computer Vision London, MLOps Remote UK, Graduate AI UK.

Good alert examples:

("LLM Engineer" OR "Generative AI Engineer" OR "Prompt Engineer")
(UK OR "Remote UK") (Python OR "Hugging Face" OR "Transformers")

("MLOps Engineer" OR "ML Platform Engineer")
(UK OR "Remote UK") (MLflow OR Kubeflow OR Airflow OR "CI/CD")

("Computer Vision" OR "Perception Engineer")
(UK OR "Remote UK") (PyTorch OR OpenCV OR "Object Detection")

Pro tips:

• One alert per intent. Don’t cram everything into one feed; you’ll get junk.

• Exclude noise with - filters: -recruitment-agency or specific job spam domains.

• Use locations & remote together if you’re open to both: (London OR "Remote UK").

Step 4: Use ChatGPT As Your “Job Scout” (with Templates)

Once your alerts land in email or RSS, ChatGPT can act as a daily concierge—deduplicating postings, ranking roles by fit, & giving you tailored actions.

Create a standing “system prompt” you reuse daily:

System role: You are my AI Job Scout for UK roles. Your job is to parse pasted job listings (titles, companies, links, snippets), remove duplicates, and output a ranked shortlist that matches my criteria. Then produce tailored actions for each role.

My criteria (edit these):
• Target roles: LLM Engineer, Machine Learning Engineer, MLOps Engineer.
• Must-have skills: Python, PyTorch, Transformers, Hugging Face, AWS.
• Nice-to-have: LangChain, RAG, vector databases, Databricks, Kubernetes.
• Location: Remote UK or London hybrid (≤2 days/week).
• Salary: £70,000+ (flex if role is exceptional).
• Company preference: Product-led tech companies, research labs, high-growth scaleups.
• Exclude: pure analytics roles, contract-only <3 months, crypto-only startups.

Output format:
1) Summary: count of roles processed, duplicates removed, 0–100 “match score” logic explained.
2) Ranked Shortlist (max 10): Title — Company — Location — Link — Match score — Why it fits (1–2 lines).
3) Actions per role: 
   - CV bullets to emphasise (3 tailored points)
   - Tech keywords to mirror
   - A 3-sentence message to the hiring manager/recruiter
4) Calendar plan: Suggest the optimal order to apply today, with time estimates (e.g., 20 min each).
Keep it concise & useful.

Daily run prompt (paste your digest or feed items):

Here are today’s listings from my alerts/RSS (title — company — location — link — snippet):
1) ...
2) ...
Please apply the Job Scout system prompt & return the shortlist + actions.

Per-posting deep-dive prompt (when you’ve found a gem):

Analyse this job spec for must-haves, repeated phrases, & implied priorities. Then:
• Rewrite 3 CV bullets using my background (below) to mirror the spec (no fluff).
• Draft a 120-word cover note that references their product/mission.
• List 8 technical keywords to include naturally.
• Give 6 likely interview questions with model answers in bullet points.

Job spec: [paste]
My background: [paste 6–8 bullets]

CV tailoring prompt (fast mode):

Using the job spec below, output 5 bullet points I should place at the top of my CV under “Recent Impact” that demonstrate immediate fit. Each bullet begins with a strong verb & ends with a measurable outcome.

Spec: [paste]

Step 5: Optional No-Code Automation (Email, Slack, Notion)

You don’t need fancy tools to get huge time savings, but a few light touches help:

• Email digests: Point your alerts to a dedicated folder. Each morning, open the folder, copy the highlights, & paste into ChatGPT with your daily run prompt.

• RSS reader rules: Star or tag feeds for Now, Later, & Research. Export starred items as a CSV weekly & feed to ChatGPT to generate a weekly application plan.

• Notion/Sheets tracker: Keep a single source of truth (template below) so ChatGPT can reason over it (e.g., “prioritise roles where I’ve already got a referral”).

Step 6: A Tiny Pipeline That Punches Above Its Weight

Track your funnel. You’ll move faster, avoid duplicate applications, & keep follow-ups tight.

Minimal columns (copy to Sheets/Excel/Notion):

• Date found

• Role

• Company

• Location

• Source/link

• Match score (0–100)

• Status (To apply, Applied, Interview, Offer, On hold, Rejected)

• Due date (application or take-home)

• Referrer/contact

• Notes (keywords to mirror, culture cues)

• Next action (what + when)

Follow-up rhythm:

• T+3 days: polite nudge if no acknowledgement.

• T+10 days: request feedback or update.

• Post-interview: thank-you within 24 hours with 1 product or model idea specific to their stack.

Shareable Prompt Library (Copy & Paste)

1) Role Decoder

Explain this job in plain English: what they truly need in the first 90 days, the 3 hardest problems, and the gap they’re probably struggling to fill. Then list the top 10 keywords they’ll search for in a CV. [paste spec]

2) Company Fit Snapshot

From the job spec & company site (summary below), infer mission, product maturity, AI stack, & hiring manager priorities. Output a 6-bullet “Why me, why now” tailored pitch. [paste spec + short company notes]

3) CV Bullet Rewriter

Rewrite these 4 bullets to be impact-led & aligned to [LLM/MLOps/Vision] with strong verbs, numbers, & the same vocabulary as the spec. Keep each to one line. [paste bullets + spec]

4) Outreach Message

Draft a 120-word message for the hiring manager that references a recent product launch, mirrors 3 keywords from the spec, & proposes a quick win I could deliver in 30 days. Friendly, confident, no fluff. [paste spec + any product notes]

5) Interview Pack Generator

Produce 8 technical questions + concise model answers tailored to this spec, plus 5 behavioural questions with STAR-style hints using my background. [paste spec + background]

6) Offer & Salary Prep

Given the role, market norms in the UK, & my years of experience, suggest a negotiation range in GBP, trade-offs to accept/avoid, & 3 crisp value statements I can use. [paste spec + experience]

Keyword & Query Bank (Use In Alerts, Feeds & Boards)

Titles: AI Engineer, LLM Engineer, Machine Learning Engineer, MLOps Engineer, ML Platform Engineer, Data Scientist, Research Scientist, Applied Scientist, NLP Engineer, Computer Vision Engineer, Generative AI Engineer, Prompt Engineer, Conversational AI, Perception Engineer.

Tech terms: PyTorch, TensorFlow, JAX, Transformers, Hugging Face, RAG, embeddings, vector store, LangChain, DSPy, LoRA, fine-tuning, ONNX, CUDA, OpenVINO, MLflow, Weights & Biases, Kubeflow, Airflow, feature store, model registry, Docker, Kubernetes, CI/CD, observability, prompt evaluation, guardrails, safety, monitoring.

Sectors: FinTech, HealthTech, E-commerce, SaaS, Robotics, Autonomous vehicles, Defence, Games, ClimateTech, EdTech, Martech, Media.

Modifiers: Remote UK, Hybrid, Visa sponsorship, Security clearance, Permanent, Full-time, Graduate, Internship, PhD, Research, Publication, Open source.

Nice filtering tokens: “immediate start”, “new”, “today”, “posted”, “now hiring”, “hiring urgently”.

Use these lists to refine your alerts & feeds. Refresh monthly based on what actually surfaces great roles.

Sample Daily Workflow (7–12 Minutes)

1. Open your alert folder/RSS. Scan headlines for obvious mismatches; ignore anything off-target.

2. Copy today’s items (10–30 lines) & paste into ChatGPT with your Job Scout prompt.

3. Review the shortlist. Open only the top 3–5 with highest match scores.

4. Run the deep-dive prompt on your favourite role. Generate tailored CV bullets & a short cover note.

5. Update your tracker. Add the role, set “To apply” with a due date.

6. Apply in one sitting. Paste the CV bullets & cover note, mirror 6–8 keywords naturally, hit send.

7. Queue follow-ups in your calendar or task manager.

That’s it. You’ve turned a noisy search into a disciplined daily sprint.

Troubleshooting & Tuning

“I’m still getting noise.”
Tighten your queries. Add exclusions (-contract, -senior if you want mid-level). Add stack terms you actually use.

“Too many duplicates.”
In ChatGPT, ask for deduping by canonical company + title + location, & to keep only the newest.

“All senior roles.”
Include level words explicitly: (Junior OR Mid OR "2-4 years" OR "Early career"). Exclude (Senior OR Principal OR Lead).

“Remote keeps meaning global.”
Use ("Remote UK" OR "UK-based remote" OR "right to work in the UK"). Exclude "anywhere" if it creates visa friction.

“Graduate roles are rare.”
Add “Internship”, “Placement”, “Industrial placement”, “Graduate scheme”, & research labs. Include universities & spin-outs.

“I want research-heavy roles.”
Add “publication”, “ICLR/NeurIPS/EMNLP”, “PhD”, “benchmark”, “SOTA”, “preprint”, “open source maintainer”.

A Lightweight Tracker Template (Copy Text)

Date Found | Role | Company | Location | Link | Source | Match (0–100) | Status | Due Date | Contact | Notes | Next Action

Status values: To apply / Applied / Interview / Offer / On hold / Rejected
Automation idea: Each morning, paste yesterday’s shortlist into ChatGPT:
“Given my tracker (below), propose today’s top 5 applications, fill any missing ‘Next Action’, & draft follow-up messages where status=Applied & T+3 days.”

SEO Snippets You Can Use (Optional)

Suggested title tag: Automate Your AI Jobs Search with ChatGPT, RSS & Alerts (UK Guide)
Suggested meta description: Save hours each week. Build keyword-rich alerts, RSS feeds & ChatGPT prompts to find UK AI jobs faster—complete with copy-paste templates, Boolean strings & a daily workflow.

Suggested URL slug: automate-ai-jobs-search-chatgpt-rss-alerts-uk

Add internal links to related guides on CV writing, interview prep, & UK salary negotiation for AI roles.

Copy-Paste Pack (Everything In One Place)

1) Google Alerts seeds

("LLM Engineer" OR "Generative AI Engineer" OR "Prompt Engineer") (UK OR "Remote UK") (Python OR "Hugging Face" OR Transformers)
("Machine Learning Engineer" OR "AI Engineer") (UK OR "Remote UK") (PyTorch OR TensorFlow) ("£" OR GBP)
("MLOps Engineer" OR "ML Platform Engineer") (UK OR "Remote UK") (MLflow OR Kubeflow OR "CI/CD")
("Computer Vision" OR "Perception Engineer") (UK OR "Remote UK") (PyTorch OR OpenCV OR "Object Detection")
("Graduate" OR "Junior" OR "Entry-level") (AI OR "Machine Learning" OR "Data Science") (UK OR "Remote UK") (Python)

2) ATS-focused Google search

("AI Engineer" OR "Machine Learning Engineer" OR "LLM Engineer")
(site:boards.greenhouse.io OR site:lever.co OR site:workable.com OR site:ashbyhq.com)
(UK OR "Remote UK") (Python OR PyTorch OR Transformers)

3) Job Scout system prompt (short version)

You are my UK AI Job Scout. From pasted listings, remove duplicates, rank by fit to my criteria, and output: 
• Summary (counts + scoring logic) 
• Top 10 roles (Title — Company — Location — Link — Score — 1-line why) 
• Per-role actions (3 CV bullets, keywords to mirror, 3-sentence outreach)
Criteria: [paste yours]

4) Deep-dive tailoring

Analyse this spec. Return: 3 tailored CV bullets, 8 keywords, a 120-word cover note, and 6 interview Qs with model answers. [paste spec + background]

5) Follow-up message

Draft a concise follow-up for my application submitted on [date], referencing [one product/research point] & reaffirming my fit in 2 sentences.

Why This Works

• Pull > Push. Alerts & RSS pull new roles to you, so you aren’t doom-scrolling feeds.

• Language matching. Boolean strings & keyword mirrors make you visible to ATS filters without sounding robotic.

• Triage first, apply second. ChatGPT turns a haystack into a shortlist with concrete next steps.

• Consistency beats bursts. A 10-minute daily cadence outperforms a 3-hour weekend binge.

Final Thought

Your time is best spent demonstrating value—not hunting for the post that lets you do it. Put your searches on rails with alerts & RSS, then let ChatGPT act as your Job Scout to prioritise, tailor, & follow up. Bookmark this guide, share the copy-paste pack with a friend, &—most importantly—ship one great application every day.

If you’re ready to put this into practice, start with a focused alert like:

("LLM Engineer" OR "Generative AI Engineer") (UK OR "Remote UK") (Python OR "Hugging Face" OR Transformers)

Create the alert, paste the first batch into ChatGPT with the Job Scout prompt, & enjoy your first 30 minutes back this week.