Mapbox seeks a Machine Learning Engineer III to lead engineering work for the Routing Cost team, building and optimizing ML and data pipelines, recommendation systems, and geospatial algorithms for the routing cost engine. The role requires ~8+ years of backend and ML experience, strong Python and distributed processing experience (Hadoop, Spark, Airflow, Dask), cloud/infrastructure proficiency (including AWS), mentoring experience, and participation in an on-call rotation. Location: Mapbox UK.

The Programming Lead will manage and optimize biomarker sample handling, kit logistics, laboratory data and associated programming across clinical studies. Responsibilities include developing tracking tools and dashboards, collaborating with data management and biostatistics, overseeing laboratory databases and vendor activities, and ensuring compliance with clinical and regulatory standards. Requires a life sciences degree, at least 6 years' clinical research experience, and proficiency in Python/R/Perl/SQL and related technologies.

Lead role responsible for sample management, biosample processing, data acquisition and programming (Python/R/SQL), LIMS and clinical trial logistics for precision medicine studies. Requires minimum 6 years clinical research experience and a bachelor's degree in life sciences or equivalent.

Lead competitive benchmarking initiatives for search, vector and hybrid retrieval, and observability workloads. Build automated benchmark harnesses, datasets, and reproducible experiments; measure latency, throughput, resource consumption, and cost; investigate differences and work with engineering to drive product improvements. Requires software engineering experience (Python or similar), performance analysis of distributed systems, and technical writing.

Role on the Query team to design, build, and operate data ingestion and ClickHouse-backed storage for historical and analytical workloads; serve data via domain-level APIs and public APIs. Requires strong backend skills (Go preferred), experience with data-intensive systems (ingestion pipelines, event-driven architectures, analytical/columnar datastores), observability, distributed-systems judgement, and technical leadership. Minimum 5+ years building and operating production backend systems.

Lead and manage an L2 technical data support team delivering operational support for data ingestion, pipeline, engineering and distribution across cloud platforms (Azure, Databricks, Snowflake, Denodo) and Power BI. Own day-to-day support operations, escalation handling, SLA performance, runbooks/SOPs, stakeholder and vendor engagement, and continuous improvement initiatives. Experience with Medallion Architecture, ITSM (e.g., ServiceNow), data governance, and regulated/GxP environments is desirable. Role can be remote from the UK, Romania, or Poland.

Owner of regulatory dashboards, compliance metrics, and automated reporting; build and maintain audit-ready data models and pipelines using SQL, Python, dbt and Airflow. Requires 5+ years in data analysis/data management in financial or regulated industries with experience in compliance frameworks (AML, KYC, Sanctions, MiCA, or MiFID) and BI/visualization tools.

Hiring a Senior Machine Learning Engineer to own the full ML lifecycle—from research and experimentation to training, deployment, and monitoring—working closely with engineering, data, and product. The role emphasizes production experience (API, batch, or streaming), strong Python and ML library skills, understanding of MLOps and cloud platforms (AWS preferred), experimentation and A/B testing, and familiarity with reinforcement learning concepts. The position is remote-first and will collaborate across Primer’s distributed organization.

Reporting to the VP, Analytics, the role leads architecture for a modern data analytics stack covering data ingestion to Snowflake/Databricks, data modeling/semantic layers (dbt, Python, SQL), natural language analytics/AI agents, data activation, and self-service BI. Responsibilities include driving architecture patterns, governance, security, CI/CD, observability, and mentoring analytics engineers. Role is remote for Ireland and the United Kingdom, requires up to 10% travel, and expects 7+ years of relevant experience.

Customer-facing senior role responsible for interpreting legacy clinical database structures, performing data transformation and mapping, developing validation scripts and SQL listings, leading end-to-end migrations into Veeva Vault CDMS/DQS, and providing product feedback and reusable migration tools. Requires 5+ years in EDC clinical software, programming skills (SAS/R/Python/SQL), and life sciences industry experience.

Own technical design and delivery of multi-component AI systems across Search, Places, Location/Navigation Intelligence, and Platform. Responsibilities include defining product behavior and evaluation metrics, building continuous evaluation and feedback loops, constructing ingestion/conflation/entity-resolution pipelines (batch and streaming), instrumenting failures, designing model/tool boundaries and model harnesses, working to latency and cost targets, and participating in an on-call rotation. Requires 5+ years software engineering experience, 2+ years shipping LLM-backed features, SQL and distributed processing experience, fluency with tool calling and agent orchestration, and strong Python or TypeScript skills.

Senior domain-aligned technical execution leader responsible for orchestrating delivery across Data Ingestion, Data Engineering, and Data Distribution for Real-World Data in life sciences. The role focuses on technical leadership for scalable RWD pipelines, lakehouse design, Azure Databricks, data quality and governance, plus matrixed stakeholder coordination, intake and roadmap management, prioritization, and delivery tracking.

Build and evolve backend features and data frameworks that ensure database scalability, performance, and data health across GitLab.com and self-managed instances. Work remotely with PostgreSQL and Ruby on Rails, collaborate cross-functionally, implement retention and lifecycle management tooling, and participate in on-call rotations as required.

Customer-facing Senior Consultant role for Veeva Vault CDMS focused on database development, study configuration, integrations, data imports, UAT, and data cleaning. Requires 5+ years' end-to-end EDC/clinical data management experience, programming in SAS/R/Python/SQL, and background in life sciences; role is full-time permanent, remote from EU/UK (based in Spain - Barcelona listed) with total compensation range 72,000–110,000 EUR and up to ~10% travel.

Join Hudl's Athlete Performance group as a Senior Engineer to design and build hardware-agnostic ingestion layers, time-series architectures, and real-time data sync/ML inference pipelines that combine live video and biomechanical data. Work on full-stack web features with a cross-functional team (Engineering, QA, Product, Design) using a tech stack that includes C#/Node, React, TypeScript, MongoDB/SQL/Elasticsearch and AWS. Location: expected in-office collaboration within commuting distance of London, with remote candidates considered in the UK.

Work on batch and streaming pipelines (including CDC) into Snowflake; design internal tools and APIs for analytics, product features and ML; model and transform data in dbt; decide data storage and movement across CockroachDB, DynamoDB, Elasticsearch and Snowflake; ship production-grade pipelines with tests, CI/CD, containers and observability (OpenTelemetry, Datadog). Remote-first role.

Lead product strategy and end-to-end execution for data products at Veeva Data Cloud. Responsible for roadmaps, high-throughput data pipelines, curation tools, web apps and data APIs; applying GenAI and automation; establishing data quality and QA frameworks; and directing multidisciplinary teams (10–100 FTE). Requires 10+ years in product management and experience with data-centric products.

Responsible for building and maintaining the GTM semantic/metrics layer, writing production-grade SQL and Python to model CRM (Salesforce) and GTM data, partnering with data engineering to build pipelines, training BI/AI layers (Claude/Omni), and driving self-serve adoption across GTM teams. Requires ~3+ years in analytics engineering/data analytics/RevOps, strong SQL and Python skills, semantic layer experience, and familiarity with CRM data.

Veeva is hiring a Data Product Manager for OpenData Europe to own product planning, data strategy, and cross-functional delivery (data engineers, analysts, product operations). Role requires 2+ years in data analytics or product management, strong SQL skills, English fluency (C1), and ~10% travel. Total compensation range: 60,000–100,000 EUR.

Senior/Lead role responsible for translating customer needs into product and development initiatives for the Link Key People data product. Responsibilities include driving cross-functional product development with Data and Software PMs, developing requirements and feature specs, monitoring and improving data quality, supporting customer-facing teams, and presenting data through the UI.