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Candidate search, better than ever.
Built to be
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From a live role to a client-ready shortlist, every candidate ranked and explained against your brief.

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Candidates

Business Development Managers in London at S

Works alongsideyour 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 a connected recruiting workspace for finding, evaluating, and moving candidates forward. Search is at the center, with enrichment, shortlists, client sharing, pipeline work, screening, interviews, and tracking connected around it.

Lope is built for recruiting agencies and talent teams, especially those working on technical roles, that want to search their existing talent more effectively and reach the external market from the same workflow.

Choose an internal search across the talent you already own, an external search for new candidates, or a mixed search that brings both together. Lope uses the role criteria to retrieve and rank the most relevant profiles.

Lope combines your candidate database with CVs, LinkedIn, GitHub, structured profile fields, notes, and available enrichment sources. That shared context improves search, review, and rediscovery without making recruiters rebuild candidate records by hand.

Candidates are ranked against the requirements of the role. Lope keeps the supporting strengths, gaps, and criterion-level evidence visible so recruiters can review the reasoning instead of relying on a score alone.

Curate the strongest candidates into a shortlist, keep the ranking and evidence attached, and share a clear client view. From there, Lope helps your team manage candidates through jobs, projects, clients, pipeline stages, and follow-up.

Yes. Candidate profiles keep screening notes and recruiting context together, while interview workflows can capture transcripts and summaries. The result stays connected to the candidate record for clearer team handoffs and decisions.

Yes. Lope is designed to work alongside your ATS, CRM, LinkedIn workflow, and existing candidate database. You can bring records and CV data into Lope, add profiles while sourcing, and reuse that information in future searches.

[05]. Changelog

Every release,one recruiter workflow improved.

Company Pages

Browse Companies you source from — firmographics, similar companies, and Your talent here. Distinct from Clients (recruit-for). Add a company by LinkedIn URL to enrich it.

JUL 22, 2026

Industry tagging from companies

Mention a company in an AI Scout or Search Agent prompt and Lope maps it to that company's industry — so you find candidates from the same sector, not just one employer.

JUL 13, 2026

Editable interview reports

Edit post-interview summaries in markdown or rich text, and shape the summary template so new content inherits your styling.

JUL 9, 2026

Search Agent

Refine your AI Scout prompt conversationally before you run a search, and apply Edit filters without tweaking every field by hand. Available now in beta.

JUL 7, 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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