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mercor·United States·USD 50 - 70 / hourly

Spanish Engineers·Portugal

Blue Cross & Blue Shield of Rhode Island·United States·USD 116,900 - 187,100 / annual

Omitron, Inc.·United States·USD 28 / hourly

Atos·United Kingdom

Lockheed Martin Corporation·United States·USD 110,300 - 204,900 / annual

WSP Africa·United States·USD 102,200 - 182,200 / annual

Zifo·United States

Dhaka Technologies Limited Company·United States·USD 140,000 - 160,000 / annual

Bruker·United States·USD 107,100 - 190,000 / annual

Dynatron Software·United States·USD 180,000 / annual

Linesight·Japan

Parvana·United States

CommIT·Slovakia

CommIT·Malta

Hewlett Packard Enterprise·United States·USD 136,500 - 276,500 / annual

phData·United States

Iron Mountain·United States·USD 163,400 - 217,900 / annual

Olsson·United States·USD 78,000 - 103,000 / annual

K2 Space·United States·USD 190,000 - 285,000 / annual

Databricks·United Kingdom

Sharesource Australia BPO Corporation·Vietnam

BlastX Consulting·United States·USD 111,538 - 165,000 / annual

Pinterest·United States·USD 145,747 - 300,067 / annual

Pinterest·United States·USD 145,747 - 300,067 / annual

Algolia·United States·USD 163,000 - 214,000 / annual

Voya Financial·United States·USD 114,480 - 170,070 / annual

JLL·United States·USD 87,700 - 139,700 / annual

Databricks·United Kingdom

Location: London, UK Remote: Yes — UK remote or London hybrid/onsite Willing to relocate: No Right to work: UK — no sponsorship required Availability: Immediately Software Engineer with 4 years of experience, primarily focused on backend and platform engineering using Node.js, TypeScript, AWS, PostgreSQL, Redis, and event-driven systems. Most recently worked as a Software Engineer II contractor at Deliveroo, improving production CRM data pipelines and lifecycle orchestration using AWS Lambda, SQS, PostgreSQL, Snowflake, Go, and Datadog. Earlier experience includes leading a migration of approximately 400,000 users, updating around 500 APIs, improving application performance with Redis caching, and building production services end to end. Interested in Backend Engineer, Platform Engineer, Full-Stack Engineer, or early-stage/founding engineering opportunities. Technologies: Node.js, TypeScript, JavaScript, React, AWS, PostgreSQL, MongoDB, Redis, Kafka, SQS, Lambda, Docker, Terraform, REST APIs, microservices, Datadog, CI/CD, Go GitHub: LinkedIn: Portfolio:·Remote

DuckDuckGo - we are looking for candidates that are excited to join us on a mission to raise the standard of trust online. All of our roles are fully-remote, except where specific locations are noted. Senior Web Security Engineer, Browser Platform - $178,500 USD + equity ... Senior Backend Engineer - $178,500 USD + equity ... Staff Data Scientist - $222,033 USD annually + equity ... Director, Data Science - $243,800 USD + equity ... Director, Privacy Engineering- $243,800 USD + equity ... Director, Paid Marketing (Subscriptions) - (Remote within USA) - $243,800 USD + equity ... Senior Growth Marketing Manager (Subscriptions) (Remote within USA) - $178,500 USD + equity ... Senior Product Partnerships Manager (Remote within USA or Canada) - $200,267 USD + equity·Remote·USD 222,033 - 243,800

DuckDuckGo - we are looking for candidates that are excited to join us on a mission to raise the standard of trust online. All of our roles are fully-remote, except where specific locations are noted. S enior Web Security Engineer, Browser Platform - $178,500 USD + equity ... Senior Backend Engineer - $178,500 USD + equity Staff Data Scientist - $222,033 USD annually + equity Director, Data Science - $243,800 USD + equity Director, Privacy Engineering- $243,800 USD + equity Director, Paid Marketing (Subscriptions) - (Remote within USA) - $243,800 USD + equity Senior Growth Marketing Manager (Subscriptions) (Remote within USA) - $178,500 USD + equity Senior Product Partnerships Manager (Remote within USA or Canada) - $200,267 USD + equity·Remote·USD 222,033 - 243,800

Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, retrieval evaluation, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embedding search whose relevance is actually measured: labelled control probes, blinded human ranking, precision@k. No API keys. Email: valeriya.slovikovskaya@gmail.com Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing. The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase. I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to. On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. The part I'd rather be judged on is what happened next: I found a validation-set defect in my own pipeline (early stopping on the test split), quantified its effect across every figure I had already reported, restated them, and added a pure-noise regression test that pins the model to chance when fed random features — so that class of leak cannot come back quietly. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020. Building on my own time: github.com/vslovik/fenix — it ranks an incoming stream against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to source chunks. Ollama embeddings, sqlite-vec, no API keys. The part worth looking at is the evaluation: the ranking anchor is scored against a labelled probe set with a deliberate control group of things I don't want, and live results are rated blind — scores hidden, order shuffled — so the human judgement stays independent of the ranking it is judging. Doing that produced a measured finding I did not expect: an embedding has no notion of negation, so naming a technology in order to reject it moves the anchor toward it. Numbers and method in lessons/embedding-anchors.md. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline — the model does the extraction, a deterministic engine does the arithmetic. Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early employee, not co-founder, but early enough to be in the room where the work gets defined. Direct with the company that owns the product: not consultancy, not agency placement, not a body on someone else's engagement.·Remote

Soda Data·United States·USD 120,000 - 130,000 / annual

NTT DATA·United States·USD 70,000 - 120,569 / annual

NTT DATA·United States·USD 68,076 - 141,826 / annual

VAST Data·United States

VAST Data·United States

Domino Data Lab·United States·USD 185,000 - 210,000 / annual

NTT DATA·United States·USD 95,918 - 222,031 / annual

Domino Data Lab·India

NTT DATA·United States·USD 68,076 - 141,826 / annual

Vantage Data Centers·United States

Domino Data Lab·Argentina

Bright Data·Singapore

Bright Data·China

Grupo Data·Brazil

Grupo Data·Brazil

Grupo Data·United States

Ehvert Engineering Inc.·Philippines