230 jobs for “IT Recruitment”
Parkside London £100,000 – £150,000 pa
Lead the development of AI features in a legal tech SaaS platform, building ML models for document parsing, search, classification and summarisation. Integrate LLMs with guardrails, evaluation and monitoring, and optimise model serving on AWS. Work hands-on in Scrum squads alongside engineering, product and QA.
Palantir Technologies New York, United States US$100,000 – US$145,000 pa
Builds and maintains data pipelines, reporting datasets and dashboards that support Recruiting and Hiring Operations, integrating systems such as Lever, Workday and Foundry. Works cross-functionally with recruiters, data, security and privacy partners, moving between pipeline work, integration debugging, documentation and stakeholder enablement.
Palantir Technologies New York, United States US$145,000 – US$155,000 pa
Works deep inside the data processing infrastructure behind Palantir Foundry, covering query plan optimization, operator execution, and efficient data reads and writes. Extends open-source engines and table formats including Apache Spark, DataFusion, and Iceberg, taking changes through design, code review, testing, and release. Correctness, compatibility, and predictable performance are central to the work.
SF Partners Birmingham £70,000 – £80,000 pa
Hands-on engineering role focused on developing and optimising Microsoft Azure and Microsoft Fabric platforms within a professional services organisation undergoing major transformation. Involves introducing automation, improving platform performance, resilience and cost optimisation, and establishing infrastructure and operational practices for growing data and analytics capabilities, while influencing technical standards and working with business stakeholders.
eFinancialCareers London
Builds a greenfield Data Control Plane for a global financial services group, working across React/TypeScript frontends and Python/FastAPI backend services on AWS. Involves catalogue browsing, search, data grids, secure APIs, identity and access management, plus AI-enabled features using managed LLM services. Spans the full engineering lifecycle with CI/CD, Infrastructure as Code and observability.
Protein Works Liverpool
Own the transformation layer in Dataform end to end, building models, tests and documentation between raw BigQuery data and business reporting. Build the semantic layer giving revenue, margin, customer and order one shared definition, and own Looker Studio reporting from executive dashboards to self-serve datasets. One of two engineering hires into the BI team, shaping safe self-serve AI analytics.
eFinancialCareers London
Take end-to-end ownership of a systematic investment firm's data platform, covering ingestion, ETL pipelines, vendor dataset management, storage design and data quality across market, reference and time-series data. Work directly with the CTO, traders and researchers in a small team, moving across the stack into core systems, APIs and research tooling when needed.
Humanoid London
Build an internal data platform from the ground up, defining architecture for petabyte-scale robot telemetry pipelines, compute infrastructure and orchestration. Work spans backend services, data warehousing, BI dashboards and MLOps evaluation workflows, collaborating closely with machine learning teams on humanoid robot training data.
CWA Brecon
Develops and maintains enterprise data architecture for the Civil Works Alliance supporting Sizewell C, defining data domains, ownership, lineage, flows and conceptual/logical models. Works across Enterprise Architecture, IT, Digital, PMO and delivery teams, modelling Microsoft Azure data platforms and using ArchiMate, BPMN, UML, Sparx EA and Prolaborate. Construction and infrastructure technologies such as BIM, digital twins and common data environments are also in scope.
Databricks London
Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for the most complex strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating Solutions Architects, Professional Services and support teams, and reporting on usage, adoption and customer health to a Technical GM.
Prize Placements Kings Langley £65,000 – £70,000 pa
Hands-on backend data engineering role owning ELT/ETL pipelines that ingest from REST APIs, databases and flat files into Snowflake. You'll build Python ingestion and automation scripts, manage Fivetran or Meltano/Singer connectors, optimise advanced SQL, and implement pipeline monitoring, logging and data quality checks, working alongside analysts and BI colleagues.
Databricks London
Hands-on technical leader who guides a small team of around five engineers while staying deep in the engineering work, driving architecture, design and code on the hardest problems. The team builds Lakebase, a managed Postgres transactional layer, across areas such as platform reliability, the network proxy data path, or distributed storage in Rust.
CoreWeave London
Technical pre-sales role covering Northern EMEA, focused on the Nordics and Benelux, working in a three-person unit with an AE and AM on land-and-expand motions. Leads discovery, designs solutions across ML training, MLOps tooling, GPU compute, Kubernetes and networking, and runs proof-of-concept engagements. Requires up to 40% travel.
MongoDB London
Pre-sales Solutions Architect guiding customers to design and build reliable, scalable systems on MongoDB's data platform. Partners with sales on technical discovery, demos, proofs of value and account planning, advising on architecture patterns across cloud and on-prem distributed systems. Hybrid role based in London with up to 25% travel.
Elastic United Kingdom
Owns the production improvement loop for a knowledge layer that AI agents use to work with enterprise data in Elasticsearch, covering extraction automations, retrieval tools and memory. Writes production TypeScript, designs telemetry and evaluation for agent traces, tool calls and retrieval, and sets the technical bar for safe iteration on agentic behaviour alongside data scientists, backend engineers, product and UX.
