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Candidate search, better than ever.
Built to be
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From your database or the open market, Lope builds the accurate shortlist for every role.

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Candidates

Business Development Managers in London at S

Two-side Integrationswith your favorite ATS & CRM
Workable
HubSpot
Ashby
Loxo
Recruit CRM
Greenhouse
Workable
HubSpot
Ashby
Loxo
Recruit CRM
Greenhouse
[01]. How it works

Describe the talent you're looking for

Senior backend and ML engineers in London at B2B SaaS companies,6+ years building data platforms in Python.Senior backend and ML engineers in London at B2B SaaS companies, 6+ years building data platforms in Python.
All Candidates4,822
Mixed
Job TitleTitle
Location
Skills
Years of ExperienceExperience
Industry
Internal
92% Match
James Okonkwo
James Okonkwo
Senior ML Engineer
London, United KingdomLinkedInGitHub
Workable
Senior ML EngineerWorkable
Imperial College London
Imperial College LondonQS RankingRank #2
M.Eng., Computing
Short summary
Last synced: 10/05/2026
92% match across 5 criteria. Currently a Senior ML Engineer¹ in London, United Kingdom¹. Strong skill match for Python and distributed systems¹. Has 7 years of experience¹, and Workable is a B2B SaaS company². A strong fit on every criterion.
Perfect matchSenior ML engineer in London with the right SaaS background, and every required skill lines up.
Internal
84% Match
Daniel Foster
Daniel Foster
Senior Backend Engineer
London, United KingdomLinkedInGitHub
Greenhouse
Senior Backend EngineerGreenhouse
University College London
University College LondonQS RankingRank #9
B.Sc., Computer Science
Short summary
Last synced: 11/05/2026
84% match across 5 criteria. Currently a Senior Backend Engineer¹ in London, United Kingdom¹. Strong skill match for Python and distributed systems¹, and Greenhouse is a B2B SaaS company². Has 5 years of experience¹, just under the 6+ year target.
Experience noteRight stack, city, and SaaS sector; the one gap is sitting just under the 6+ year mark.
External
76% Match
Sofia Bergstrom
Sofia BergstromExternal
Principal Backend Engineer
Stockholm, SwedenLinkedInGitHub
Teamtailor
Principal Backend EngineerTeamtailor
KTH Royal Institute of Technology
KTH Royal Institute of TechnologyQS RankingRank #73
M.Sc., Computer Science
Short summary
Last synced: 08/05/2026
76% match from mixed search. Currently a Principal Backend Engineer¹ with strong Python and distributed systems¹. Has 11 years of experience¹ and Teamtailor is a B2B SaaS company², but Stockholm, Sweden¹ sits outside your London target.
Location noteExcellent backend engineer at a SaaS company, but based in Stockholm rather than London.

AI sourcing first.Recruiting context right behind it.

Lope gives the search brief a real memory: candidate data, source signals, interview evidence, and fresh movement when the market changes.

[02]. Features

Candidate enrichment

Turn scattered signals into searchable profiles.

Lope pulls in LinkedIn, GitHub, CVs and all available sources. Then enriches every candidate into one complete, searchable profile.

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[03]. Lope MCP
Lope

Lope MCP for any AI

Connect Lope to your AI workflow and pull candidates, pipeline, and interview context straight from your prompts.

1

Open Claude settings

Launch the app or open claude.ai and go to Settings → Connectors.

2

Add the Lope custom connector

Name it Lope and paste the URL:

3

Connect and sign in

Click Add → Connect, sign in with your Lope account, then just ask Claude to find candidates.

Open Claude connectors
Using a CLI client like Claude Code or Codex? See the MCP docs.
[04]. FAQs

The honest answersto what every recruiter asks before committing.

Lope is built for recruiting agencies and talent teams that need faster candidate discovery without throwing away the data they already collected.

Yes. Lope is designed to sit alongside your existing systems, enrich candidate context, and make the database easier to search and reuse.

AI Scout can search candidates already in your database, expand to external sourcing, or combine both in a mixed search when a role needs a wider field.

Enrichment brings profile signals such as LinkedIn, GitHub, CV context, and structured fields together so searches and reviews start from better evidence.

Lope keeps interview context close to the candidate profile, including transcript and summary workflows that make team handoffs easier.

You can follow candidates worth revisiting and surface meaningful changes, such as a new role or promotion, when that timing may matter for a search.

Yes. The Chrome extension helps move a promising LinkedIn profile into Lope quickly and can hand it off to enrichment without the copy-paste detour.

[05]. Changelog

Every release,one recruiter workflow improved.

Search candidates by job

AI Scout now supports search based on job. Pick an open role and Lope builds a ready-to-run search from the title and description — title, location, skills, experience, industry, and salary band. Review, fine-tune, then run Internal, Mixed, or External.

JUN 22, 2026

Interviews

Lope joins Google Meet and Teams calls automatically. Shortly after the interview ends, the bot transcribes it so you can ask questions based on the conversation.

MAY 6, 2026

External & mixed search

AI Scout now searches 800M+ LinkedIn profiles via External search. Mixed search ranks external candidates alongside your internal database in a single shortlist.

APR 22, 2026

Candidate tracking

Follow candidates and get notified about company moves, promotions, new skills, certifications, and headline changes — via in-app alerts or daily digests.

MAR 28, 2026
View all

Time to ditch every search that starts from scratch.

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Lope

Candidate search, better than ever. Lope helps recruiters turn their database into instant best-fit shortlists.

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